Publications

Publications from SMILE.

Featuring our work over the years.

Featured

Most recent work

2026

Multi-modal Analysis of Whole Slide Images in Colorectal Cancer

Jitendra Jonnagaddala, Miljana Shulajkovska, Anton Gradisek, Toni Jue, Qifeng Zhou, Yuzhi Guo, Jamil Chayeb, Rujiang Li, Jana Lipkvoa, Jakob Kather and Junzhou Huang

NPJ Digital Medicine , To Appear. · journal

2026

Deciphering Small Sequence Differences in T cell Receptor-Antigen Pairing

Yi Han, Yuqiu Yang, James Zhu, Farjana J. Fattah, Mitchell S. von Itzstein, Minying Zhang, Casey Bermack, Peixin Jiang, Shailbala Singh, Yanhua Tian, Yifei Hu, Yafang Deng, Xiongbin Kang, Donghan M. Yang, Jialiang Liu, Yaming Xue, Chaoying Liang, Indu Raman, Chengsong Zhu, Olivia Xiao, Jonathan E. Dowell, Jade Homsi, Sawsan Rashdan, Ke Pan, Shengjie Yang, Mary E. Gwin, David Hsiehchen, Yvonne Gloria-McCutchen, Fangjiang Wu, John V. Heymach, Don Gibbons, Junzhou Huang , Chao Cheng, Jianjun Zhang, Cassian Yee, Alexandre Reuben, David E. Gerber and Tao Wang

Nature Communications , June 2026. · journal

2026

Histopathology Multi-modal Embedding for Pathology Composed Retrieval

Qifeng Zhou, Wenliang Zhong, Thao M. Dang, Hehuan Ma, Saiyang Na, Yuzhi Guo and Junzhou Huang

In Proc. of the 19th European Conference on Computer Vision , ECCV'26, Malmö, Sweden, September 2026. · conference

2026

Hyperbolic Gramian Volumes for Multimodal Alignment

Saiyang Na, Feng Jiang, Qifeng Zhou, Wenliang Zhong, Thao M. Dang, Yuzhi Guo, Hehuan Ma, Chunyuan Li, Weizhi An and Junzhou Huang

In Proc. of IEEE Conference on Computer Vision and Pattern Recognition , CVPR'26, Denver, Colorado, USA, June 2026. · conference

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2026

Multi-modal Analysis of Whole Slide Images in Colorectal Cancer

Jitendra Jonnagaddala, Miljana Shulajkovska, Anton Gradisek, Toni Jue, Qifeng Zhou, Yuzhi Guo, Jamil Chayeb, Rujiang Li, Jana Lipkvoa, Jakob Kather and Junzhou Huang

NPJ Digital Medicine , To Appear. · journal

2026

Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI Reconstruction

Jiangpeng Yan, Chenghui Yu, Hanbo Chen, Zhe Xu, Junzhou Huang , Xiu Li and Jianhua Yao

IEEE Journal of Biomedical and Health Informatics , To Appear. · journal

2026

Histopathology-centered Computational Evolution of Spatial Omics: Integration, Mapping, and Foundation Models

Ninghui Hao, Xinxing Yang, Boshen Yan, Dong Li, Junzhou Huang , Xintao Wu, Emily S. Ruiz, Arlene Ruiz de Luzuriaga, Chen Zhao, and Guihong Wan

Briefings in Bioinformatics , To Appear. · journal

2026

Collaborative Instance-level and Bag-level Multiple Instances Learning with Label Disambiguation for Whole Slide Image Analysis

Yu Zhao, Jun Wang, Chao Wang, Qin Ren, Yichang Xu, Chenchen Qin, Bing He, Xiaofeng Liu, Junzhou Huang , Jie Chen and Jianhua Yao

Medical Image Analysis , Volume 113, September 2026. · journal

2026

Deciphering Small Sequence Differences in T cell Receptor-Antigen Pairing

Yi Han, Yuqiu Yang, James Zhu, Farjana J. Fattah, Mitchell S. von Itzstein, Minying Zhang, Casey Bermack, Peixin Jiang, Shailbala Singh, Yanhua Tian, Yifei Hu, Yafang Deng, Xiongbin Kang, Donghan M. Yang, Jialiang Liu, Yaming Xue, Chaoying Liang, Indu Raman, Chengsong Zhu, Olivia Xiao, Jonathan E. Dowell, Jade Homsi, Sawsan Rashdan, Ke Pan, Shengjie Yang, Mary E. Gwin, David Hsiehchen, Yvonne Gloria-McCutchen, Fangjiang Wu, John V. Heymach, Don Gibbons, Junzhou Huang , Chao Cheng, Jianjun Zhang, Cassian Yee, Alexandre Reuben, David E. Gerber and Tao Wang

Nature Communications , June 2026. · journal

2026

Histopathology Multi-modal Embedding for Pathology Composed Retrieval

Qifeng Zhou, Wenliang Zhong, Thao M. Dang, Hehuan Ma, Saiyang Na, Yuzhi Guo and Junzhou Huang

In Proc. of the 19th European Conference on Computer Vision , ECCV'26, Malmö, Sweden, September 2026. · conference

2026

Joint Segmentation and Graph-Based Skeletal Representation Learning with Geometric Priors

Yinhao Wu, Haiqing Li, Hehuan Ma and Junzhou Huang

In Proc. of the 29th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'25, Strasbourg, France, September 2026. · conference

2026

Guidelines as Environments: A World Model Approach to Rule Following

Haiqing Li, Wenliang Zhong, Yinhao Wu, Hehuan Ma, Yuzhi Guo, Thao M. Dang and Junzhou Huang

In Proc. of the 64th Annual Meeting of the Association for Computational Linguistics, ACL'26, San Diego, CA, USA, July 2026. · conference

2026

Heterogeneous Aligned Fusion for Survival Prediction with Missing Modalities

Zheng Zheng, Yuzhi Guo, Xiao Hu, Yuwei Miao, Hehuan Ma, Jean Gao and Junzhou Huang

In Proc. of the Conference on Medical Imaging with Deep Learning , MIDL'26, Taipei, July 2026. · conference

2026

Guideline-Informed MLLM Reasoning for Pathology-Aware Post-Operative Prostate CTV Segmentation

Yinhao Wu, Hengrui Zhao, Haiqing Li, Wenliang Zhong, Hehuan Ma, Yuzhi Guo, Dan Nguyen, Daniel X. Yang, Steve B. Jiang and Junzhou Huang

In Proc. of the Conference on Medical Imaging with Deep Learning , MIDL'26, Taipei, July 2026. · conference

2026

Hyperbolic Gramian Volumes for Multimodal Alignment

Saiyang Na, Feng Jiang, Qifeng Zhou, Wenliang Zhong, Thao M. Dang, Yuzhi Guo, Hehuan Ma, Chunyuan Li, Weizhi An and Junzhou Huang

In Proc. of IEEE Conference on Computer Vision and Pattern Recognition , CVPR'26, Denver, Colorado, USA, June 2026. · conference

2026

Universal Guideline-Driven Image Clustering via a Hybrid LLM Agent

Wenliang Zhong, Rob Barton, Lucas Goncalves, Kushal Kumar, Feng Jiang, Hehuan Ma, Yuzhi Guo, Vidit Bansal, Karim Bouyarmane and Junzhou Huang

In Proc. of IEEE Conference on Computer Vision and Pattern Recognition , CVPR'26, Denver, Colorado, USA, June 2026. · conference

2026

Breaking the Correlation Plateau: On the Optimization and Capacity Limits of Attention-Based Regressors

Jingquan Yan, Yuwei Miao, Peiran Yu and Junzhou Huang

In Proc. of the Fourteenth International Conference on Learning Representations, ICLR'26, Rio de Janeiro, Brazil, April 2026. · conference

2026

GRAM-DTI: Adaptive Multimodal Representation Learning for Drug-Target Interaction Prediction

Feng Jiang, Amina Mollaysa, Hehuan Ma, Yuzhi Guo, Tommaso Mansi, Junzhou Huang , Mangal Prakash and Rui Liao

In Proc. of the Fourteenth International Conference on Learning Representations, ICLR'26, Rio de Janeiro, Brazil, April 2026. · conference

2026

DICE: Discrete Inversion Enabling Controllable Editing for Masked Generative Models

Xiaoxiao He, Quan Dao, Ligong Han, Song Wen, Minhao Bai, Di Liu, Han Zhang, Felix Juefei-Xu, Chaowei Tan, Bo Liu, Martin Renqiang Min, Kang Li, Faez Ahmed, Akash Srivastava, Hongdong Li, Junzhou Huang and Dimitris N. Metaxas

In Proc. of the IEEE/CVF Winter Conference on Applications of Computer Vision , WACV'26, Tucson, Arizona, USA, March 2026. · conference

2026

GenePheno: Interpretable Gene Knockout-Induced Phenotype Abnormality Prediction from Gene Sequences

Jingquan Yan, Yuwei Miao, Lei Yu, Yuzhi Guo, Xue Xiao, Lin Xu and Junzhou Huang

In Proc. of the 40th Annual AAAI Conference on Artificial Intelligence , AAAI'26, Singapore, January 2026. · conference

2026

Learning from Guidelines: Structured Prompt Optimization for Expert Annotation Tasks

Wenliang Zhong, Haiqing Li, Thao M. Dang, Feng Jiang, Hehuan Ma, Yuzhi Guo, Jean Gao and Junzhou Huang

In Proc. of the 40th Annual AAAI Conference on Artificial Intelligence , AAAI'26, Singapore, January 2026. · conference

2025

Segment Any Cell: A SAM-based Auto-prompting Fine-tuning Framework for Nuclei Segmentation

Saiyang Na, Yuzhi Guo, Feng Jiang, Hehuan Ma, Jean Gao and Junzhou Huang

IEEE Transactions on Neural Networks and Learning Systems , Volume 36, Issue 12, pp. 19986-19995, December 2025. · journal

2025

A Unified Random Walk, Its Induced Laplacians and Spectral Convolutions for Deep Hypergraph Learning

Jiying Zhang, Fuyang Li, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang , Yatao Bian

IEEE Transactions on Pattern Analysis and Machine Intelligence , Volume 47, Issue 11, pp. 10129-10141, November 2025. · journal

2025

Pancancer Outcome Prediction via a Unified Weakly Supervised Deep Learning Model

Xiyue Wang, Wei Yuan, Yijiang Chen, Biyue Zhu, Sen Yang, Jiayu Zhang, Ning Mao, Jinxi Xiang, Yuchen Li, Yuanfeng Ji, Xiangde Luo, Kangning Zhang, Xiaohan Xing, Shuo Kang, Dongyuan Xiao, Fang Wang, Jinkun Wu, Haiyan Zhang, Hongping Tang, Himanshu Maurya, German Corredor, Cristian Barrera, Yufei Zhou, Krunal Pandav, Junhan Zhao, Prantesh Jain, Luke Delasos, Junzhou Huang , Kailin Yang, Theodoros N Teknos, James Lewis Jr, Shlomo Koyfman, Nathan A. Pennell, Kun-Hsing Yu, Xiao Han, Jing Zhang and Anant Madabhushi

Signal Transduction and Targeted Therapy , Volume 10, Number 285, September 2025. (IF=52.7) · journal

2025

Profiling Antigen-Binding Affinity of B Cell Repertoires in Tumors by Deep Learning Predicts Immune-Checkpoint Inhibitor Treatment Outcomes

Bing Song, Kaiwen Wang, Saiyang Na, Jia Yao, Farjana J. Fattah, Alexandra L Martin, Mitchell S. von Itzstein, Donghan M. Yang, Jialiang Liu, Yaming Xue, Chaoying Liang, Yuzhi Guo, Indu Raman, Chengsong Zhu, Jonathan E. Dowell, Jade Homsi, Sawsan Rashdan, Shengjie Yang, Mary E. Gwin, Tuoqi Wu, David Hsiehchen, Yvonne Gloria-McCutchen, Catherine Pei-ju Lu, Prithvi Raj, Xiaochen Bai, Jun Wang, Jose Conejo-Garcia, Yang Xie, Junzhou Huang *, David E. Gerber*, Tao Wang*

Nature Cancer , Volume 6, pp. 1570-1584, June 2025. (IF=28.5) · journal

2025

Learning with Noisy Labels over Imbalanced Subpopulations

Mingcai Chen, Yu Zhao, Bing He, Zongbo Han, Junzhou Huang , Bingzhe Wu and Jianhua Yao

IEEE Transactions on Neural Networks and Learning Systems , Volume 36, Issue 4, pp.6544-6555, April 2025. · journal

2025

Abnormality-Aware Multimodal Learning for WSI Classification

Thao M. Dang, Qifeng Zhou, Yuzhi Guo, Hehuan Ma, Saiyang Na, Thao Bich Dang, Jean Gao and Junzhou Huang

Frontiers in Medicine , Volume 12, February 2025. · journal

2025

Deep Learning Using Histological Images for Gene Mutation Prediction in Lung Cancer: a Multicentre Retrospective Study

Yu Zhao, Shan Xiong, Qin Ren, Min Li, Jun Wang, Lin Yang, Di Wu, Kejing Tang, Xiaojie Pan, Fengxia Chen, Wenxiang Wang, Shi Jin, Xianling Liu, Gen Lin, Wenxiu Yao, Linbo Cai, Yi Yang, Jixian Liu, Jingxun Wu, Wenfan Fu, Kai Sun, Feng Li, Bo Cheng, Shuting Zhan, Haixuan Wang, Ziwen Yu, Xiwen Liu, Ran Zhong, Huiting Wang, Ping He, Yongmei Zheng, Peng Liang, Longfei Chen, Ting Hou, Junzhou Huang , Bing He, Jiangning Song, Lin Wu, Chengping Hu, Jianxing He, Jianhua Yao and Wenhua Liang

The Lancet Oncology , Volume 26, Issue 1, pp. 136-146, January 2025. (IF=35.9) · journal

2025

TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence

Feng Jiang, Mangal Prakash, Hehuan Ma, Jianyuan Deng, Yuzhi Guo, Amina Mollaysa, Tommaso Mansi, Rui Liao and Junzhou Huang

In Proc. of the 39th Annual Conference on Neural Information Processing Systems , NeurIPS'25, San Diego, CA, USA, December 2025. · conference

2025

GRAM-DTI: Adaptive Multimodal Representation Learning for DrugTarget Interaction Prediction

Feng Jiang, Amina Mollaysa, Hehuan Ma, Tommaso Mansi, Junzhou Huang , Mangal Prakash, Rui Liao

NeurIPS 2025 2nd Workshop on Multi-modal Foundation Models and Large Language Models for Life Sciences , San Diego, CA, USA, December 2025. · workshop

2025

Fine-Grained Interaction and Task-Driven Fusion of Histology Images and Genomics for Multimodal Cancer Survival Prediction

Xulin Chen and Junzhou Huang

In Proc. of the 16th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics , ACM BCB'25, Philadelphia, PA, USA October 2025. · conference

2025

Deconvolution-Enhanced Contrastive Pretraining of Histology Images and Gene Expressions in Spatial Transcriptomics

Xulin Chen and Junzhou Huang

In Proc. of the 16th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics , ACM BCB'25, Philadelphia, PA, USA October 2025. · conference

2025

Seeing from Magic Mirror: Contrastive Learning from Reconstruction for Pose-based Gait Recognition

Shibei Meng, Saihui Hou, Yang Fu, Xuecai Hu, Junzhou Huang and Yongzhen Huang

In Proc. of The 33rd ACM International Conference on Multimedia , ACM MM'25, Dublin, Ireland, October 2025. · conference

2025

Zero-Shot Composed Image Retrieval via Dual-Stream Instruction-Aware Distillation

Wenliang Zhong, Rob Barton, Weizhi An, Feng Jiang, Hehuan Ma, Yuzhi Guo, Abhishek Dan, Shioulin Sam, Karim Bouyarmane and Junzhou Huang

In Proc. of International Conference on Computer Vision , ICCV'25, Honolulu, Hawaii, October 2025. · conference

2025

Learning A Unified Template for Gait Recognition

Panjian Huang, Saihui Hou, Junzhou Huang and Yongzhen Huang

In Proc. of International Conference on Computer Vision , ICCV'25, Honolulu, Hawaii, October 2025. · conference

2025

HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics

Thao Dang, Haiqing Li, Yuzhi Guo, Hehuan Ma, Feng Jiang, Yuwei Miao, Qifeng Zhou, Jean Gao and Junzhou Huang

In Proc. of the 28th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'25, Daejeon, Korea, September 2025. · conference

2025

Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis

Haiqing Li, Yuzhi Guo, Feng Jiang, Thao Dang, Hehuan Ma, Qifeng Zhou, Jean Gao and Junzhou Huang

In Proc. of the 28th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'25, Daejeon, Korea, September 2025. · conference

2025

TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence

Feng Jiang, Mangal Prakash, Hehuan Ma, Jianyuan Deng, Yuzhi Guo, Amina Mollaysa, Tommaso Mansi, Rui Liao, Junzhou Huang

ICML 2025 Workshop on Multi-modal Foundation Models and Large Language Models for Life Sciences , Vancouver, Canada, July 2025. · workshop

2025

DICE: Discrete Inversion Enabling Controllable Editing for Masked Generative Models

Xiaoxiao He, Ligong Han, Quan Dao, Song Wen, Minhao Bai, Di Liu, Han Zhang, Felix Juefei-Xu, Chaowei Tan, Bo Liu, Martin Renqiang Min, Kang Li, Faez Ahmed, Akash Srivastava, Hongdong Li, Junzhou Huang , Dimitris Metaxas

CVPR 2025 Workshop on Generative Models for Computer Vision , Nashville, Tennessee, USA, June 2025. · workshop

2025

NeurLZ: An Online Neural Learning-based Method to Enhance Scientific Lossy Compression

Wenqi Jia, Zhewen Hu, Youyuan Liu, Boyuan Zhang, Jinzhen Wang, Jinyang Liu, Wei Niu, Stavros Kalafatis, Junzhou Huang , Sian Jin, Daoce Wang, Jiannan Tian, Miao Yin

In Proc. of ACM International Conference on Supercomputing , ICS'25, Salt Lake, Utah, USA, June 2025. · conference

2025

InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization

Yifan Niu, Ziqi Gao, Tingyang Xu, Yang Liu, Yatao Bian, Yu Rong, Junzhou Huang and Jia Li

In Proc. of the Thirteenth International Conference on Learning Representations , ICLR'25, Singapore, April 2025. · conference

2025

Contrastive Pretraining for Computational Pathology With Visual Language Models

Qifeng Zhou, Thao M Dang, Yuzhi Guo, Hehuan Ma, Wenliang Zhong, Saiyang Na, Jean Gao and Junzhou Huang

In Proc. of IEEE International Symposium on Biomedical Imaging , ISBI'25, Houston, Texas, USA, April 2025. · conference

2025

GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction

Yuwei Miao, Yuzhi Guo, Hehuan Ma, Jingquan Yan, Feng Jiang, Rui Liao and Junzhou Huang

In Proc. of the Thirty-Ninth AAAI Conference on Artificial Intelligence , AAAI'25, Philadelphia, Pennsylvania, USA, February 2025. · conference

2025

SODA: Spectral Orthogonal Decomposition Adaptation for Diffusion Models

Xinxi Zhang, Ligong Han, Song Wen, Felix Juefei-Xu, Akash Srivastava, Junzhou Huang , Hao Wang, Molei Tao, Vladimir Pavlovic and Dimitris Metaxas

In Proc. of IEEE/CVF Winter Conference on Applications of Computer Vision , WACV'25, Tucson, Arizona, USA, February 2025. · conference

2024

Reply to: Deeper Evaluation of a Single-cell Foundation Model

Fan Yang, Fang Wang, Longkai Huang, Linjing Liu, Junzhou Huang , Jianhua Yao

Nature Machine Intelligence , Volume 6, pp.1447-1450, December 2024. · journal

2024

HiCervix: An Extensive Hierarchical Dataset and Benchmark for Cervical Cytology Classification

De Cai, Jie Chen, Junhan Zhao, Yuan Xue, Sen Yang, Wei Yuan, Min Feng, Haiyan Weng, Shuguang Liu, Yulong Peng, Junyou Zhu, Kanran Wang, Christopher Jackson, Hongping Tang, Junzhou Huang and Xiyue Wang

IEEE Transactions on Medical Imaging , Volume 43, Issue 12, pp. 4344-4355, December 2024. · journal

2024

Structure-Aware DropEdge Towards Deep Graph Convolutional Networks

Jiaqi Han, Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun and Junzhou Huang

. IEEE Transactions on Neural Networks and Learning Systems , Volume 35, Issue 11, pp. 15565-15577, November 2024. · journal

2024

Solving the Non-Submodular Network Collapse Problems via Decision Transformer

Kaili Ma, Han Yang, Shanchao Yang, Kangfei Zhao, Lanqing Li, Yongqiang Chen, Junzhou Huang , James Cheng and Yu Rong

Neural Networks , Volume 176, August 2024. · journal

2024

GTE: A Graph Learning Framework for Prediction of T-Cell Receptors and Epitopes Binding Specificity

Feng Jiang, Yuzhi Guo, Hehuan Ma, Saiyang Na, Wenliang Zhong, Yi Han, Tao Wang and Junzhou Huang

Briefings in Bioinformatics , Volume 25, Issue 4, July 2024. · journal

2024

Geometric Deep Learning Methods and Applications in 3D Structure-based Drug Design

Qifeng Bai, Tingyang Xu, Junzhou Huang and Horacio Prez-Snchez

Drug Discovery Today , Volume 29, Issue 7, July 2024. · journal

2024

Advancing DNA Language Models through Motif-Oriented Pre-training with MoDNA

Weizhi An, Yuzhi Guo, Yatao Bian, Hehuan Ma, Jinyu Yang, Chunyuan Li and Junzhou Huang

Biomedinformatics , Volume 4, Number 2, pp.1556-1571, June 2024. · journal

2024

MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction

Jiahan Liu, Chaochao Yan, Chan Lu, Junzhou Huang , Le Ou-Yang and Peilin Zhao

Bioinformatics , Volume 40, Issue 3, March 2024. · journal

2024

Towards Robust Self-training for Molecular Biology Prediction Tasks

Hehuan Ma, Feng Jiang, Yuzhi Guo and Junzhou Huang

Journal of Computational Biology , Volume 31, Issue 3, pp. 213-228, March 2024. · journal

2024

Recognizing Predictive Substructures with Subgraph Information Bottleneck

Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang and Ran He

IEEE Transactions on Pattern Analysis and Machine Intelligence , Volume 46, pp. 1650-1663, March 2024. · journal

2024

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models

Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang , Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou and Huaxiu Yao

In Proc. of the 38th Annual Conference on Neural Information Processing Systems , NeurIPS'24, Vancouver, Canada, December 2024. · conference

2024

AlphaEpi: Enhancing B Cell Epitope Prediction with AlphaFold 3

Feng Jiang, Yuzhi Guo, Hehuan Ma, Saiyang Na, Weizhi An, Bing Song, Yi Han, Jean Gao, Tao Wang and Junzhou Huang

In Proc. of the 15th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics , ACM BCB'24, Shenzhen, China, November 2024. · conference

2024

MFMF: Multiple Foundation Model Fusion Networks for Whole Slide Image Classification

Thao M. Dang, Yuzhi Guo, Hehuan Ma, Qifeng Zhou, Saiyang Na, Jean Gao and Junzhou Huang

In Proc. of the 15th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics , ACM BCB'24, Shenzhen, China, November 2024. · conference

2024

Natural Language-Assisted Multi-modal Medication Recommendation

Jie Tan, Yu Rong, Kangfei Zhao, Tian Bian, Tingyang Xu, Junzhou Huang , Hong Cheng and Helen Meng

In Proc. of the 33rd ACM International Conference on Information and Knowledge Management , CIKM'24, Boise, Idaho, USA, October 2024. · conference

2024

Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation

Tian Bian, Yifan Niu, Heng Chang, Divin Yan, Junzhou Huang , Yu Rong, Tingyang Xu, Jia Li, Hong Cheng

In Proc. of the 33rd ACM International Conference on Information and Knowledge Management , CIKM'24, Boise, Idaho, USA, October 2024. · conference

2024

Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks

Weizhi An, Wenliang Zhong, Feng Jiang, Hehuan Ma and Junzhou Huang

In Proc. of the 18th European Conference on Computer Vision , ECCV'24, Milan, Italy, October 2024. · conference

2024

PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning

Qifeng Zhou, Wenliang Zhong, Yuzhi Guo, Michael Xiao, Hehuan Ma and Junzhou Huang

In Proc. of the 27th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'24, Marrakesh, Morocco, October 2024. · conference

2024

Enhancing Multimodal Large Language Models with Multi-instance Visual Prompt Generator for Visual Representation Enrichment

Wenliang Zhong, Wenyi Wu, Qi Li, Boxin Du, Karim Bouyarmane, Shioulin Sam, Ismail Tutar and Junzhou Huang

SIGIR 2024 Workshop on Multimodal Representation and Retrieval , MRR'24, Washington DC, July 2024. · workshop

2024

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models

Peng Xia, Ze Chen, Juanxi Tian, Gong Yangrui, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang , Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao

ICML 2024 Workshop on Foundation Models in the Wild , Vienna, Austria, July 2024. · workshop

2024

Distribution-Free Fair Federated Learning with Small Samples

Qichuan Yin, Junzhou Huang , Huaxiu Yao, and Linjun Zhang

The AAAI Workshop on Artificial Intelligence with Biased or Scarce Data , Vancouver, Canada, February 2024. · workshop

2024

MIVC: Multiple Instance Visual Component for Visual-Language Models

Wenyi Wu, Qi Li, Wenliang Zhong and Junzhou Huang

In Proc. of IEEE/CVF Winter Conference on Applications of Computer Vision , WACV'24, Waikoloa, Hawaii, USA, January 2024. · conference

2023

Spatiotemporal Denoising of Low-dose Cardiac CT Image Sequences using RecycleGAN

Shiwei Zhou, Jinyu Yang, Krishna Konduri, Junzhou Huang , Lifeng Yu and Mingwu Jin

Biomedical Physics & Engineering Express , Volume 9, September 2023. · journal

2023

Recent Advances in Toxicity Prediction: Applications of Deep Graph Learning

Yuwei Miao, Hehuan Ma and Junzhou Huang

Chemical Research in Toxicology , Volume 36, pp. 1206-1226, August 2023. · journal

2023

Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions

Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Yixuan Li and Junzhou Huang

Transactions on Machine Learning Research , June 2023. · journal

2023

Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge

Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu and Junzhou Huang

IEEE Transactions on Knowledge and Data Engineering , Volume 35, Issue 5, pp. 4499-4513, May 2023. · journal

2023

A Generalizable and Robust Deep Learning Algorithm for Mitosis Detection in Multicenter Breast Histopathological Images

Xiyue Wang, Jun Zhang, Sen Yang, Jingxi Xiang, Feng Luo, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang and Xiao Han

Medical Image Analysis , Volume 84, February 2023. · journal

2023

NuSegDA: Domain Adaptation for Nuclei Segmentation

Mohammad Minhazul Haq, Hehuan Ma and Junzhou Huang

Frontiers in Big Data-Medicine and Public Health , Volume 6, February 2023. · journal

2023

Merging Nucleus Datasets by Correlation-based Cross-Training

Wenhua Zhang, Jun Zhang, Xiyue Wang, Sen Yang, Junzhou Huang , Wei Yang, Wenping Wang and Xiao Han

Medical Image Analysis , Volume 84, February 2023. · journal

2023

Finding Critical Users in Social Communities via Graph Convolutions

Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Yu and Junzhou Huang

IEEE Transactions on Knowledge and Data Engineering , Volume 35, Issue 1, pp. 456-468, January 2023. · journal

2023

Learning Representations by Graphical Mutual Information Estimation and Maximization

Zhen Peng, Minnan Luo, Wenbing Huang, Jundong Li, Qinghua Zheng, Fuchun Sun and Junzhou Huang

IEEE Transactions on Pattern Analysis and Machine Intelligence , Volume 45, Issue 1, pp. 722-737, January 2023. · journal

2023

RetCCL: Clustering-guided Contrastive Learning for Whole-slide Image Retrieval

Xiyue Wang, Yuexi Du, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang and Xiao Han

Medical Image Analysis , Volume 83, January 2023. · journal

2023

Retaining Beneficial Information from Detrimental Data for Neural Network Repair

Long-Kai Huang, Peilin Zhao, Junzhou Huang and Sinno Pan

In Proc. of the 36th Annual Conference on Neural Information Processing Systems , NeurIPS'23, New Orleans, Louisiana, USA, December 2023. · conference

2023

ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs

Yucheng Shi, Hehuan Ma, Wenliang Zhong, Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming Liu and Junzhou Huang

IEEE International Conference on Data Mining Workshops on Learning with Knowledge Graphs: Opportunities and Challenges with ChatGPT , Shanghai, China, December 2023. · workshop

2023

Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study

Lu Zhang, Saiyang Na, Dajiang Zhu and Junzhou Huang

In Proc. of the 26th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'23, Vancouver, Canada, October 2023. · conference

2023

IIB-MIL: Integrated Instance-level and Bag-level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis

Qin Ren, Yu Zhao, Bing He, Bingzhe Wu, Sijie Mai, Fan Xu, Yueshan Huang, Yonghong He, Junzhou Huang and Jianhua Yao

In Proc. of the 26th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'23, Vancouver, Canada, October 2023. · conference

2023

An Unsupervised Multispectral Image Registration Network for Skin Diseases

Songhui Diao, Wenxue Zhou, Chenchen Qin, Jun Liao, Junzhou Huang , Wenming Yang and Jianhua Yao

In Proc. of the 26th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'23, Vancouver, Canada, October 2023. · conference

2023

Enhancing Catalog Relationship Problems with Heterogeneous Graphs and Graph Neural Networks Distillation

Boxin Du, Rob Barton, Grant Galloway, Junzhou Huang , Ismail Tutar and Changhe Yuan

In Proc. of the 32th ACM International Conference on Information and Knowledge Management , CIKM'23, Birmingham, United Kingdom, October 2023. · conference

2023

CoSSL: A Context-based Semi-Supervised Framework for Molecular Property Prediction

Wenliang Zhong, Hehuan Ma, Yu Rong, Yatao Bian, Long-Kai Huang, Yuzhi Guo, Peilin Zhao and Junzhou Huang

ICML Workshop on Computational Biology , Honolulu, Hawaii, USA, July 2023. · workshop

2023

Pareto-Aware Neural Architecture Generation for Diverse Computational Budgets

Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Junzhou Huang , Jian Chen, Mingkui Tan

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , Vancouver, Canada, June 2023. · workshop

2023

Curriculum Graph Poisoning

Hanwen Liu, Peilin Zhao, Tingyang Xu, Yatao Bian, Junzhou Huang , Yuesheng Zhu and Yadong Mu

In Proc. of the International World Wide Web Conference , WWW'23, Austin, Texas, USA, May 2023. · conference

2023

Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning

Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang and Mingkui Tan

In Proc. of the 39th IEEE International Conference on Data Engineering , ICDE'23, Anaheim, California, USA, April 2023. · conference

2023

DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations

Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Lanqing Li, Long-Kai Huang, Tingyang Xu, Yu Rong, Jie Ren, Ding Xue, Houtim Lai, Wei Liu, Junzhou Huang , Shuigeng Zhou, Ping Luo, Peilin Zhao and Yatao Bian

In Proc. of the 37th AAAI Conference on Artificial Intelligence , AAAI'23, Washington, DC, USA, February 2023. · conference

2023

TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation

Jinyu Yang, Jingjing Liu, Ning Xu and Junzhou Huang

IEEE Winter Conference on Applications of Computer Vision , WACV'23, Waikoloa, Hawaii, USA, January 2023. · conference

2023

Adaptive Graph Convolutional Neural Network and Its Biomedical Applications

Junzhou Huang and Ruoyu Li

State of the Art in Neural Networks and Their Applications , Volume 2, ISBN: 9780128198728, Elsevier, January 2023. · journal

2022

Knowledge-Based Representation Learning for Nucleus Instance Classification from Histopathological Images

Wenhua Zhang, Jun Zhang, Sen Yang, Xiyue Wang, Wei Yang, Junzhou Huang , Wenping Wang and Xiao Han

IEEE Transactions on Medical Imaging , Volume 41, Issue 12, pp. 3939-3951, December 2022. · journal

2022

DeepNoise: Signal and Noise Disentanglement based on Classifying Fluorescent Microscopy Images via Deep Learning

Sen Yang, Tao Shen, Yuqi Fang, Xiyue Wang, Jun Zhang, Wei Yang, Junzhou Huang and Xiao Han

Genomics, Proteomics & Bioinformatics , Volume 20, Issue 5, pp. 989-1001, October 2022. · journal

2022

Towards Accurate and Compact Architectures via Neural Architecture Transformer

Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao and Junzhou Huang

IEEE Transactions on Pattern Analysis and Machine Intelligence , Volume: 44, Issue: 10, pp. 6501-6516, October 2022. · journal

2022

Graph Convolutional Module for Temporal Action Localization in Videos

Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang and Chuang Gan

IEEE Transactions on Pattern Analysis and Machine Intelligence , Volume: 44, Issue 10, pp.6209-6223, October 2022. · journal

2022

Hierachical Multi-Agent Reinforcement Learning for Allocating Guaranteed Display Ads

Lu Wang, Lei Han, Xinru Chen, Chengchang Li, Junzhou Huang , Weinan Zhang, Wei Zhang, Xiaofeng He and Dijun Luo

IEEE Transactions on Neural Networks and Learning Systems , Volume 33, Issu 10, pp. 5361-5373, October · journal

2022

Transformer-based Unsupervised Contrastive Learning for Histopathological Image Classification

Xiyue Wang, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang and Xiao Han

Medical Image Analysis , Volume 81, October 2022. · journal

2022

scBERT as a Large-scale Pretrained Deep Language Model for Cell Type Annotation of Single-cell RNA-seq Data

Fan Yang, Wenchuan Wang, Fang Wang, Yuan Fang, Duyu Tang, Junzhou Huang , Hui Lu and Jianhua Yao

Nature Machine Intelligence , Volume 4, pp. 852- 866, September 2022. · journal

2022

RetroComposer: Composing Templates for Template-based Retrosynthesis Prediction

Chaochao Yan, Peilin Zhao, Chan Lu, Yang Yu and Junzhou Huang

Biomolecules , Volume 12, September 2022. · journal

2022

Survival Prediction in Triple Negative Breast Cancer Using Multiple Instance Learning of Histopathological Images

Piumi Sandarenu, Ewan KA Millar, Yang Song, Lois H Browne, Julia Beretov, Jodi Lynch, Peter Graham, Jitendra Jonnagaddala, Nick Hawkins, Junzhou Huang and Erik Meijering

Scientific Reports , Volume 12, August 2022. · journal

2022

Molecule Sequence Generation with Rebalanced Variational Loss

Chaochao Yan, Jinyu Yang, Hehuan Ma and Junzhou Huang

Journal of Computational Biology , Volume 29, August 2022. · journal

2022

Discrimination-aware Channel Pruning for Deep Model Compression

Jing Liu, Bohan Zhuang, Zhuangwei Zhuang, Yong Guo, Junzhou Huang , Jinhui Zhu and Mingkui Tan

IEEE Transactions on Pattern Analysis and Machine Intelligence , Volume: 44, Issue: 8, pp. 4035-4051, August 2022. · journal

2022

Prenatal Development of Neonatal Vocalizations

Darshana Narayanan, Daniel Takahashi, Lauren Kelly, Sabina Hlavaty, Junzhou Huang and Asif Ghazanfar

Elife , 11:e78485, July 2022. · other

2022

Blood-Brain Barrier Penetration Prediction Enhanced by Uncertainty Estimation

Xiaochu Tong, Dingyan Wang, Xiaoyu Ding, Xiaoqin Tan, Qun Ren, Geng Chen, Yu Rong, Tingyang Xu, Junzhou Huang , Hualiang Jiang, Mingyue Zheng and Xutong Li

Journal of Cheminformatics , Volume 14, Number 44, July 2022. · journal

2022

Application Advances of Deep Learning Methods for De Novo Drug Design and Molecular Dynamics Simulation

Qifeng Bai, Shuo Liu, Yanan Tian, Tingyang Xu, Antonio Jesús Banegas-Luna, Horacio Pérez-Sánchez, Junzhou Huang , Huanxiang Liu and Xiaojun Yao

WIREs Computational Molecular Science , Volume 12, Issue 3, June 2022. · journal

2022

Deep Learning Model for Predicting the Pathological Complete Response to Neoadjuvant Chemoradiotherapy of Locally Advanced Rectal Cancer

Xiaoying Lou, Niyun Zhou, Lili Feng, Zhenhui Li, Yuqi Fang, Xinjuan Fan, Yihong Ling, Hailing Liu, Xuan Zou, Jing Wang, Junzhou Huang , Jingping Yun, Jianhua Yao and Yan Huang

Frontiers in Oncology , June 2022. · other

2022

Deep Ensemble Learning with Atrous Spatial Pyramid Networks for Protein Secondary Structure Prediction

Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang and Junzhou Huang

Biomolecules , 12, 774 , June 2022. · other

2022

Structure-aware Conditional Variational Auto-encoder for Constrained Molecule Optimization

Junchi Yu, Tingyang Xu, Yu Rong, Junzhou Huang and Ran He

Pattern Recognition , Volume 126, June 2022. · journal

2022

Multi-Level Attention Graph Neural Network Based on Co-expression Gene Modules for Disease Diagnosis and Prognosis

Xiaohan Xing, Fan Yang, Hang Li, Jun Zhang, Yu Zhao, Mingxuan Gao, Junzhou Huang and Jianhua Yao

Bioinformatics , Volume 38, Issue 8, pp. 2178-2186, April 2022. · journal

2022

Cross-Dependent Graph Neural Networks for Molecular Property Prediction

Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye and Junzhou Huang

Bioinformatics , Volume 38, Issue 7, pp. 2003-2009, April 2022. · journal

2022

Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer with Deep Learning

Hailing Liu, Yu Zhao, Fan Yang, Xiaoying Lou, Feng Wu, Hang Li, Xiaohan Xing, Tingying Peng, Bjoern Menze, Junzhou Huang , Shujun Zhang, Anjia Han, Jianhua Yao and Xinjuan Fan

BME Frontiers , Volume 2022, pp. 1-12, March 2022. · journal

2022

Improving Generative Adversarial Networks with Local Coordinate Coding

Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang and Mingkui Tan

IEEE Transactions on Pattern Analysis and Machine Intelligence , Volume 44, Issue 1, pp. 211-227, January 2022. · journal

2022

Training a Deep Multiview Model Using Small Samples of Medical Data

Junzhou Huang , Xinliang Zhu, Jiawen Yao

Artificial Intelligence in Cancer Diagnosis and Prognosis, Volume 1: Lung and Kidney Cancer , IOP Publishing, 2022. · journal

2022

Graph Neural Networks: Scalability

Hehuan Ma, Yu Rong and Junzhou Huang

Graph Neural Networks: Foundations, Frontiers, and Applications , Springer, 2022. · other

2022

SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification

Xiyue Wang, Jinxi Xiang, Jun Zhang, Sen Yang, Zhongyi Yang, Ming-Hui Wang, Jing Zhang, Yang Wei, Junzhou Huang , Xiao Han

In Proc. of the 36th Annual Conference on Neural Information Processing Systems , NeurIPS'22, New Orleans, Louisiana, USA, December 2022. · conference

2022

D3RF: Distributionally Robust Federated Drug Discovery with Inter-client Noise

Bingzhe Wu, Zhipeng Liang, Yuxuan Han, Yatao Bian, Peilin Zhao, Junzhou Huang and Chaochao Chen

The 1st International Workshop on Federated Learning with Graph Data at ACM CIKM , Atlanta, Georgia, United States, October 2022. · workshop

2022

ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images

Jiawei Yang, Hanbo Chen, Yuan Liang, Junzhou Huang , Lei He and Jianhua Yao

In Proc. of the 17th European Conference on Computer Vision , ECCV'22, Tel Aviv, Israel, October 2022. · conference

2022

Self-Supervised Pre-Training for Nuclei Segmentation

Mohammad Minhazul Haq and Junzhou Huang

In Proc. of the 25th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'22, Singapore, September 2022. · conference

2022

SETMIL: Spatial Encoding Transformer-based Multiple Instance Learning for Pathological Image Analysis

Yu Zhao, Zhenyu Lin, Kai Sun, Yidan Zhang, Junzhou Huang , Liansheng Wang and Jianhua Yao

In Proc. of the 25th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'22, Singapore, September 2022. · conference

2022

Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed

Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao and Junzhou Huang

In Proc. of the 48th International Conference on Very Large Data Bases , VLDB'22, Sydney, Australia, September 2022. · conference

2022

Robust Self-training Strategy for Various Molecular Biology Prediction Tasks

Hehuan Ma, Feng Jiang, Yu Rong, Yuzhi Guo and Junzhou Huang

In Proc. of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics , ACM BCB'22, Chicago, Illinois, USA, August 2022. · conference

2022

MoDNA: Motif-Oriented Pre-training for DNA Language Model

Weizhi An, Yuzhi Guo, Yatao Bian, Hehuan Ma, Jinyu Yang, Chunyuan Li and Junzhou Huang

In Proc. of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics , ACM BCB'22, Chicago, Illinois, USA, August 2022. · conference

2022

Hierarchical Transformer for Survival Prediction Using Multi-modality Whole Slide Images and Genomics

Chunyuan Li, Xinliang Zhu, Jiawen Yao and Junzhou Huang

In Proc. of the 26th International Conference on Pattern Recognition , ICPR'22, Montral Qubec, Canada, August 2022. · conference

2022

Frustratingly Easy Transferability Estimation

Long-Kai Huang, Ying Wei, Yu Rong, Qiang Yang and Junzhou Huang

In Proc. of the 39th International Conference on Machine Learning , ICML'22, Baltimore, Maryland, USA, July 2022. · conference

2022

Local Augmentation for Graph Neural Networks

Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang and Dinghao Wu

In Proc. of the 39th International Conference on Machine Learning , ICML'22, Baltimore, Maryland, USA, July 2022. · conference

2022

Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer

Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Peilin Zhao, Luo Da, Kangyi Lin, Sophia Ananiadou and Junzhou Huang

In Proc. of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval , SIGIR'22, Madrid, Spain, July · conference

2022

Vision-Language Pre-Training with Triple Contrastive Learning

Jinyu Yang, Jiali Duan, Son Tran, Yi Xu, Liqun Chen, Belinda Zeng, Trishul Chilimbi, Sampath Chanda and Junzhou Huang

In Proc. of IEEE Conference on Computer Vision and Pattern Recognition , CVPR'22, New Orleans, Louisiana, USA, June 2022. · conference

2022

Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification

Yonghang Guan, Jun Zhang, Kuan Tian, Sen Yang, Pei Dong, Jinxi Xiang, Wei Yang, Junzhou Huang , Yuyao Zhang and Xiao Han

In Proc. of IEEE Conference on Computer Vision and Pattern Recognition , CVPR'22, New Orleans, Louisiana, USA, June 2022. · conference

2022

Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification

Zongbo Han, Fan Yang, Junzhou Huang , Changqing Zhang and Jianhua Yao

In Proc. of IEEE Conference on Computer Vision and Pattern Recognition , CVPR'22, New Orleans, Louisiana, USA, June 2022. · conference

2022

Constrained Graph Mechanics Networks

Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun and Junzhou Huang

In Proc. of the Tenth International Conference on Learning Representations , ICLR'22, April 2022. · conference

2022

Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning

Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause and Junzhou Huang

In Proc. of the Tenth International Conference on Learning Representations , ICLR'22, April 2022. · conference

2022

Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media

Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Peilin Zhao, Junzhou Huang and Sophia Ananiadou

In Proc. of International World Wide Web Conference , WWW'22, Lyon, France, April 2022. · conference

2022

Self-supervised Pretraining for Protein Embeddings Using Tertiary Structures

Yuzhi Guo, Jiaxiang Wu, Hehuan Ma and Junzhou Huang

In Proc. of the Thirty-Sixth AAAI Conference on Artificial Intelligence , AAAI'22, Vancouver, Canada, February 2022. · conference

2022

Deep Implicit Statistical Shape Models for 3D Medical Image Delineation

Ashwin Raju, Shun Miao, Dakai Jin, Le Lu, Junzhou Huang , Adam Harrison

In Proc. of the Thirty-Sixth AAAI Conference on Artificial Intelligence , AAAI'22, Vancouver, Canada, February 2022. · conference

2022

GNN-Retro: Retrosynthetic planning with Graph Neural Networks

Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang , Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang

In Proc. of the Thirty-Sixth AAAI Conference on Artificial Intelligence , AAAI'22, Vancouver, Canada, February 2022. · conference

2021

When Homologous Sequences Meet Structural Decoys: Accurate Contact Prediction by tFold in CASP14

Tao Shen, Jiaxiang Wu, Haidong Lan, Liangzhen Zheng, Jianguo Pei, Sheng Wang, Wei Liu and Junzhou Huang

PROTEINS: Structure, Function, and Bioinformatics , Volume89, Issue12, pp. 1901-1910, December 2021. · journal

2021

Disturbance-immune Weight Sharing for Neural Architecture Search

Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang , Mingkui Tan

Neural Networks , Volume 144, pp. 553-564, December 2021. · journal

2021

Molecular Graph Enhanced Transformer for Retrosynthesis Prediction

Kelong Mao, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang and Peilin Zhao

Neurocomputing , Volume 457, pp. 193-202, October 2021. · journal

2021

A Novel Scalarized Scaffold Hopping Algorithm with Graph-based Variational Autoencoder for Discovery of JAK1 Inhibitors

Yang Yu, Tingyang Xu, Jiawen Li, Yaping Qiu, Yu Rong, Zhen Gong, Xuemin Cheng, Liming Dong, Wei Liu, Jin Li, Dengfeng Dou and Junzhou Huang

ACS Omega , Volume 6, pp. 22945-22954, August 2021. · journal

2021

Can AI-assisted Microscope Facilitate Breast HER2 Interpretation? A Multi-institutional Ring Study

Meng Yue, Jun Zhang, Xinran Wang, Kezhou Yan, Lijing Cai, Kuan Tian, Shuyao Niu, Xiao Han, Yongqiang Yu, Junzhou Huang , Dandan Han, Jianhua Yao, Yueping Liu

Virchows Archiv , 479, pp. 443-449, July 2021. · other

2021

WADDAICA: A Webserver for Aiding Protein Drug Design by Artificial Intelligence and Classical Algorithm

Qifeng Bai, Jian Ma, Shuo Liu, Tingyang Xud, Antonio Jess Banegas-Luna, Horacio Prez-Snchez, Yanan Tian, Junzhou Huang , Huanxiang Liu and Xiaojun Yao

Computational and Structural Biotechnology Journal , Volume 19, pp. 3573-3579, June 2021. · journal

2021

Online Adaptive Asymmetric Active Learning with Limited Budgets

Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang and Mingkui Tan

IEEE Transactions on Knowledge and Data Engineering , Volume 33, Issue 6, June 2021. · journal

2021

How Can Artificial Intelligence Models Assist PD-L1 Expression Scoring in Breast Cancer: Results of Multi-institutional Ring Studies

Yueping Liu, Xinran Wang, Liang Wang, Hong Bu, Ningning Zhang, Meng Yue, Zhanli Jia, Lijing Cai, Jiankun He, Yanan Wang, Xin Xu, Shengshui Li, Kaiwen Xiao, Kezhou Yan, Kuan Tian, Xiao Han, Junzhou Huang and Jianhua Yao

NPJ Breast Cancer 7 , 61, Volume 7, Issue 1, May 2021. · journal

2021

EPTool: A New Enhancing PSSM Tool for Protein Secondary Structure Prediction

Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang and Junzhou Huang

Journal of Computational Biology , Volume 28, Number 4, April 2021. · journal

2021

Comprehensive Study of Bagging MSA Learning for Protein Structure Property Prediction

Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang and Junzhou Huang

Journal of Computational Biology ,Volume 28, Number 4, April 2021. · journal

2021

Improving Ki-67 Assessment Concordance with AI-Empowered Microscope: A Multi-institutional Ring Study

Lijing Cai, Kezhou Yan, Hong Bu, Meng Yue, Pei Dong, Xinran Wang, Lina Li, Kuan Tian, Haocheng Shen, Jun Zhang, Jiuyan Shang, Shuyao Niu, Dandan Han, Chen Ren, Junzhou Huang , Xiao Han, Jianhua Yao, Yueping Liu

Histopathology , April 2021. · other

2021

Investigation of Low-Dose CT Image Denoising Using Unpaired Deep Learning Methods

Zeheng Li, Shiwei Zhou, Junzhou Huang , Lifeng Yu and Mingwu Jin

IEEE Transactions on Radiation and Plasma Medical Sciences , Volume 5, Issue 2, March 2021. · journal

2021

Deep Graph Learning with Property Augmentation for Predicting Drug-Induced Liver Injury

Hehuan Ma, Weizhi An, Yuhong Wang, Hongmao Sun, Ruili Huang and Junzhou Huang

Chemical Research in Toxicology , Volume 34, Issue 2, pp. 495-506, February 2021. · journal

2021

Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation

Peng Sun, Jiaxiang Wu, Songyuan Li, Peiwen Lin, Junzhou Huang and Xi Li

International Journal of Computer Vision , Volume 129, pp.1506-1525, February 2021. · journal

2021

Gradient-Norm Based Attentive Loss for Molecular Property Prediction

Hehuan Ma, Yu Rong, Boyang Liu, Yuzhi Guo, Chaochao Yan, and Junzhou Huang

In Proc. of IEEE International Conference on Bioinformatics and Biomedicine , BIBM'21, December 2021. · conference

2021

An Interpretable Multi-Level Enhanced Graph Attention Network for Disease Diagnosis with Gene Expression Data

Xiaohan Xing, Fan Yang, Hang Li, Jun Zhang, Yu Zhao, Mingxuan Gao, Junzhou Huang , and Jianhua Yao

In Proc. of IEEE International Conference on Bioinformatics and Biomedicine , BIBM'21, December 2021. · conference

2021

Not All Low-Pass Filters are Robust in Graph Convolutional Networks

Heng Chang, Yu Rong, Tingyang Xu, Yatao Bian, Shiji Zhou, Xin Wang, Junzhou Huang , Wenwu Zhu

In Proc. of the 35th Annual Conference on Neural Information Processing Systems , NeurIPS'21, December 2021. · conference

2021

Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery

Huaxiu Yao, Ying Wei, Long-Kai Huang, Ding Xue, Junzhou Huang , Zhenhui Li

In Proc. of the 35th Annual Conference on Neural Information Processing Systems , NeurIPS'21, December 2021. · conference

2021

Towards Diversified and Self-Corrected Graph Representation Learning

Yuzhao Chen, Yatao Bian, Jiying Zhang, Xi Xiao, Tingyang Xu, Yu Rong and Junzhou Huang

In Proc. of the IEEE International Conference on Big Knowledge , ICBK'21, Auckland, New Zealand, December 2021. · conference

2021

Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding

Zhehan Liang, Chenxin Li, Yunlong Zhang, Yu Rong, Yue Huang, Tingyang Xu, Xinghao Ding and Junzhou Huang

In Proc. of the 30th ACM International Conference on Information and Knowledge Management , CIKM'21, November 2021. · conference

2021

Spectral Graph Attention Network with Fast Eigen-approximation

Heng Chang, Yu Rong, Wenbing Huang, Tingyang Xu, Somayeh Sojoudi, Junzhou Huang and Wenwu Zhu

In Proc. of the 30th ACM International Conference on Information and Knowledge Management , CIKM'21, November 2021. · conference

2021

Graph Ordering: Towards the Optimal by Learning

Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Wenbing Huang, Junzhou Huang and Hao Zhang

In Proc. of International Conference on Web Information Systems Engineering , WISE'21, Melbourne, Australia, October 2021. · conference

2021

Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation

Jinyu Yang, Chunyuan Li, Weizhi, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang

In Proc. of International Conference on Computer Vision , ICCV'21, October 2021. · conference

2021

DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image

Hang Li, Fan Yang, Yu Zhao, Xiaohan Xing, Jun Zhang, Mingxuan Gao, Junzhou Huang , Liansheng Wang and Jianhua Yao

In Proc. of the 24th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'21, Strasbourg, France, September 2021. · conference

2021

Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation

Jiangpeng Yan, Hanbo Chen, Kang Wang, Yan Ji, Yuyao Zhu, Jingjing Li, Dong Xie, Zhe Xu, Junzhou Huang , Shuqun Cheng, Xiu Li and Jianhua Yao

In Proc. of the 24th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'21, Strasbourg, France, September 2021. · conference

2021

TransPath: Transformer-based Self-supervised Learning for Histopathological Image Classification

Xiyue Wang, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang and Xiao Han

In Proc. of the 24th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'21, Strasbourg, France, September 2021. · conference

2021

From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded Networks

Hanbo Chen, Kang Wang, Yuyao Zhu, Jiangpeng Yan, Yan Ji, Jingjing Li, Dong Xie, Junzhou Huang , Shuqun Cheng and Jianhua Yao

In Proc. of the 24th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'21, Strasbourg, France, September 2021. · conference

2021

Multi-modal Multi-instance Learning using Weakly Correlated Histopathological Images and Tabular Clinical Information

Hang Li, Fan Yang, Xiaohan Xing, Yu Zhao, Jun Zhang, Yueping Liu, Mengxue Han, Junzhou Huang , Liansheng Wang and Jianhua Yao

In Proc. of the 24th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'21, Strasbourg, France, September 2021. · conference

2021

Spectral Graph Attention Network with Fast Eigen-approximation

Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang and Wenwu Zhu

The KDD Workshop on Deep Learning on Graphs: Method and Applications , DGL'21, Singapore, August 2021. · workshop

2021

Meta-learning Hyperparameter Performance Prediction with Neural Processes

Ying Wei, Peilin Zhao and Junzhou Huang

In Proc. of the 38th International Conference on Machine Learning , ICML'21, July 2021. · conference

2021

Learning Diverse-Structured Networks for Adversarial Robustness

Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang and Masashi Sugiyama

In Proc. of the 38th International Conference on Machine Learning , ICML'21, July 2021. · conference

2021

Improving Generalization in Meta-learning via Task Augmentation

Huaxiu Yao, Long-Kai Huang, Linjun Zhang, Ying Wei, Li Tian, James Zou, Junzhou Huang and Zhenhui Li

In Proc. of the 38th International Conference on Machine Learning , ICML'21, July 2021. · conference

2021

On Self-Distilling Graph Neural Network

Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu and Junzhou Huang

In Proc. of the 30th International Joint Conference on Artificial Intelligence , IJCAI'21, Montreal, Canada, August 2021. · conference

2021

Graph Information Bottleneck for Subgraph Recognition

Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang and Ran He

In Proc. of International Conference on Learning Representations, ICLR'21, Vienna, Austria, May 2021. · conference

2021

FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang , Murali Annavaram and Salman Avestimehr

The ICLR Workshop on Distributed and Private Machine Learning , DPML'21, Vienna, Austria, May 2021. · workshop

2021

Towards Expectation-Maximization by SQL in RDBMS

Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, Ming Liao and Junzhou Huang

In Proc. of International Conference on Database Systems for Advanced Applications , DASFAA'21, Taibei, Taiwan, April 2021. · conference

2021

Strongly Supervised Mitosis Detection in Breast Histopathology Images Using Weak Labels

Zihan Wu, Rongbo Shen, Junzhou Huang , Liangsheng Wang and Jianhua Yao

In Proc. of the IEEE International Symposium on Biomedical Imaging , ISBI'21, April 2021. · conference

2021

Hierarchical Graph Capsule Network

Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma and Junzhou Huang

In Proc. of the Thirty-Fifth AAAI Conference on Artificial Intelligence , AAAI'21, Vancouver, Canada, February 2021. · conference

2021

PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning

Qin Wang, Boyuan Wang, Zhenlei Xu, Jiaxiang Wu, Peilin Zhao, Zhen Li, Sheng Wang, Junzhou Huang and Shuguang Cui

In Proc. of the Thirty-Fifth AAAI Conference on Artificial Intelligence , AAAI'21, Vancouver, Canada, February 2021. · conference

2021

Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring

Zhen Chen, Jun Zhang, Shuanlong Che, Junzhou Huang , Xiao Han, Yixuan Yuan

In Proc. of the Thirty-Fifth AAAI Conference on Artificial Intelligence , AAAI'21, Vancouver, Canada, February 2021. · conference

2021

Minimizing Labeling Cost for Nuclei Instance Segmentation and Classificationwith Cross domain Images and Weak Labels

Siqi Yang, Jun Zhang, Junzhou Huang , Brian Lovell and Xiao Han

In Proc. of the Thirty-Fifth AAAI Conference on Artificial Intelligence , AAAI'21, Vancouver, Canada, February 2021. · conference

2021

Context-Aware Domain Adaptation in Semantic Segmentation

Jinyu Yang, Weizhi An, Chaochao Yan, Peilin Zhao and Junzhou Huang

In Proc. of the IEEE Winter Conference on Applications of Computer Vision , WACV'21, January 2021. · conference

2020

Fast Regions-of-Interest Detection in Whole Slide Histopathology Images

Junzhou Huang and Ruoyu Li

Histopathology and Liquid Biopsy , IntechOpen, November 2020. · other

2020

Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Networks

Jiawen Yao, Xinliang Zhu, Jitendra Jonnagaddala, Nicholas Hawkins and Junzhou Huang

Medical Image Analysis , Volume 65, October 2020. · journal

2020

Structure of Human Steroid 5a-reductase 2 with the Anti-androgen Drug Finasteride

Qingpin Xiao, Lei Wang, Shreyas Supekar, Tao Shen, Heng Liu, Fei Ye, Junzhou Huang , Hao Fan, Zhiyi Wei and Cheng Zhang

Nature Communications , 11-5430, October 2020. · journal

2020

Development and Interpretation of a Pathomics-based Model for the Prediction of Microsatellite Instability in Colorectal Cancer

Rui Cao, Fan Yang, Si-Cong Ma, Li Liu, Yu Zhao, Yan Li, De-Hua Wu, Tongxin Wang, Wei-Jia Lu, Wei-Jing Cai, Hong-Bo Zhu, Xue-Jun Guo, Yu-Wen Lu, Jun-Jie Kuang, Wen-Jing Huan, Wei-Min Tang, Kun Huang, Junzhou Huang , Jianhua Yao, Zhong-Yi Dong

Theranostics , Volume 10(24), pp.11080-11091, October 2020. · journal

2020

MolAICal: a Soft Tool for 3D Drug Design of Protein Targets by Artificial Intelligence and Classical Algorithm

Qifeng Bai, Shuoyan Tan, Tingyang Xu, Huanxiang Liu, Junzhou Huang , Xiaojun Yao

Briefings in Bioinformatics , August 2020. · journal

2020

Early Triage of Critically Ill COVID-19 Patients Using Deep Learning

Wenhua Liang, Jianhua Yao, Ailan Chen, Qingquan Lv, Mark Zanin, Jun Liu, SookSan Wong, Yimin Li, Jiatao Lu, Hengrui Liang, Guoqiang Chen, Haiyan Guo, Jun Guo, Rong Zhou, Limin Ou, Niyun Zhou, Hanbo Chen, Fan Yang, Xiao Han, Wenjing Huan, Weimin Tang, Weijie Guan, Zisheng Chen, Yi Zhao, Ling Sang, Yuanda Xu, Wei Wang, Shiyue Li, Ligong Lu, Nuofu Zhang, Nanshan Zhong*, Junzhou Huang * and Jianxing He*

Nature Communications, 11-3543, July 2020. · journal

2020

Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis

Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang and Mingkui Tan

IEEE Transactions on Image Processing , Volume 29, pp. 7834-7844, July 2020. · journal

2020

A Generalized Locally Linear Factorization Machine with Supervised Variational Encoding

Xiaoshuang Chen, Yin Zheng, Peilin Zhao, Zhuxi Jiang, Wenye Ma and Junzhou Huang

IEEE Transactions on Knowledge and Data Engineering , Volume 32, pp. 1036-1049, June 2020. · journal

2020

Nonparametric Topic Modeling with Neural Inference

Xuefei Ning, Yin Zheng, Zhuxi Jiang, Yu Wang, Huazhong Yang, Junzhou Huang and Peilin Zhao

Neurocomputing , Volume 399, pp. 296-306, 2020. · journal

2020

WeightAln: Weighted Homologous Alignment for Protein Structure Property Prediction

Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Jinyu Yang, Xinliang Zhu, and Junzhou Huang

IEEE International Conference on Bioinformatics and Biomedicine , BIBM'20, Seout, Korea, December 2020. · conference

2020

Protein Ensemble Learning with Atrous Spatial Pyramid Networks for Secondary Structure Prediction

Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, and Junzhou Huang

IEEE International Conference on Bioinformatics and Biomedicine , BIBM'20, Seout, Korea, December 2020. · conference

2020

Improving Molecular Property Prediction on Limited Data with Deep Multi-Label Learning

Hehuan Ma, Chaochao Yan, Yuzhi Guo, Sheng Wang, Yuhong Wang, Hongmao Sun and Junzhou Huang

IEEE BIBM Workshop on Machine Learning and Artificial Intelligence in Bioinformatics and Medical Informatics , MABM'20, Seout, Korea, December 2020. · workshop

2020

Multi-View Graph Neural Networks for Molecular Property Prediction

Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye and Junzhou Huang

In Proc. of the Machine Learning for Molecules Workshop at NeurIPS 2020 , Vancouver, Canada, December 2020. · workshop

2020

RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist

Chaochao Yan, Qianggang Ding, Peilin Zhao, Shuangjia Zheng, Jinyu Yang, Yang Yu and Junzhou Huang

In Proc. of the 34th Annual Conference on Neural Information Processing Systems , NIPS'20, Vancouver, Canada, December 2020. · conference

2020

Deep Multimodal Fusion by Channel Exchanging

Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong and Junzhou Huang

In Proc. of the 34th Annual Conference on Neural Information Processing Systems , NIPS'20, Vancouver, Canada, December 2020. · conference

2020

GROVER: Self-Supervised Message Passing Transformer on Large-scale Molecular Graphs

Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang and Junzhou Huang

In Proc. of the 34th Annual Conference on Neural Information Processing Systems , NIPS'20, Vancouver, Canada, December 2020. · conference

2020

Revisiting Parameter Sharing for Automatic Neural Channel Number Search

Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Xupeng Shi, Junzhou Huang , Irwin King, Michael Lyu and Jian Cheng

In Proc. of the 34th Annual Conference on Neural Information Processing Systems , NIPS'20, Vancouver, Canada, December 2020. · conference

2020

Adversarial Sparse Transformer for Time Series Forecasting

Sifan Wu, Xi Xiao, Qianggang Ding, Peilin Zhao, Ying Wei and Junzhou Huang

In Proc. of the 34th Annual Conference on Neural Information Processing Systems , NIPS'20, Vancouver, Canada, December 2020. · conference

2020

Dirichlet Graph Variational Autoencoder

Jia Li, Jianwei Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng and Junzhou Huang

In Proc. of the 34th Annual Conference on Neural Information Processing Systems , NIPS'20, Vancouver, Canada, December 2020. · conference

2020

Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging

Ashwin Raju, Jiawen Yao, Mohammad Minhazul Haq, Jitendra Jonnagaddala and Junzhou Huang

In Proc. of the 22nd Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'20, Lima, Peru, October 2020. · conference

2020

User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation

Ashwin Raju, Zhanghexuan Ji, Chi Tung Cheng, Jinzheng Cai, Junzhou Huang , Jing Xiao, Le Lu, ChienHung Liao and Adam Harrison

In Proc. of the 22nd Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'20, Lima, Peru, October 2020. · conference

2020

Asynchronous in Parallel Detection and Tracking (AIPDT): Real-time Robust Polyp Detection

Zijian Zhang, Hong Shang, Han Zheng, Xiaoning Wang, Jiajun Wang, Zhongqian Sun, Junzhou Huang and Jianhua Yao

In Proc. of the 22nd Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'20, Lima, Peru, October 2020. · conference

2020

Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation

Chaochao Yan, Sheng Wang, Jinyu Yang, Tingyang Xu and Junzhou Huang

In Proc. of the 11th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics , ACM BCB'20, September 2020. · conference

2020

Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation

Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan and Junzhou Huang

In Proc. of The 16th European Conference on Computer Vision , ECCV'20, Glasgow, United Kingdom, August 2020. · conference

2020

Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation

Ashwin Raju, Chi-Tung Cheng, Yuankai Huo, Jinzheng Cai, Junzhou Huang , Jing Xiao, Le Lu, ChienHung Liao and Adam P Harrison

In Proc. of The 16th European Conference on Computer Vision , ECCV'20, Glasgow, United Kingdom, August 2020. · conference

2020

TranSlider: Transfer Ensemble Learning from Exploitation to Exploration

Kuo Zhong, Ying Wei, Chun Yuan, Haoli Bai and Junzhou Huang

In Proc. of The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , KDD'20, San Diego, CA, USA, August 2020. · conference

2020

Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search

Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang and Mingkui Tan

In Proc. of International Conference on Machine Learning , ICML'20, Vienna, Austria, July 2020. · conference

2020

Adversarial Domain Adaptation for Cell Segmentation

Mohammad Minhazul Haq and Junzhou Huang

In Proc. of The Conference on Medical Imaging with Deep Learning , Montreal, Canada, July 2020. · conference

2020

Bagging MSA Learning: Enhancing Low-quality PSSM with Deep Learning for Accurate Protein Structure Property Prediction

Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang and Junzhou Huang

In Proc. of The 24th International Conference on Research in Computational Molecular Biology , RECOMB'20, Padova, Italy, May 2020. · conference

2020

Supervised Augmentation: Leverage Strong Annotation for Limited Data

Han Zheng, Hong Shang, Zhongqian Sun, Xinghui Fu, Jianhua Yao, Junzhou Huang

In Proc. of The Sixteenth IEEE International Symposium on Biomedical Imaging , ISBI'20, Coralville, IA, April 2020. · conference

2020

Graph Representation Learning via Graphical Mutual Information Maximization

Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu and Junzhou Huang

In Proc. of International World Wide Web Conference , WWW'20, Taibei, Tanwan, China, April 2020. · conference

2020

Adversarial Attack on Community Detection by Hiding Individuals

Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng and Junzhou Huang

In Proc. of International World Wide Web Conference , WWW'20, Taibei, Tanwan, China, April 2020. · conference

2020

DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Yu Rong, Wenbing Huang, Tingyang Xu, Junzhou Huang

In Proc. of International Conference on Learning Representations , ICLR'20, Addis Ababa, Ethiopia, April 2020. · conference

2020

Towards Fast Adaptation of Neural Architectures with Meta Learning

Dongze Lian, Yin Zheng, Yintao Xu, Yanxiong Lu, Leyu Lin, Peilin Zhao, Junzhou Huang , Shenghua Gao

In Proc. of International Conference on Learning Representations , ICLR'20, Addis Ababa, Ethiopia, April 2020. · conference

2020

Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection

Zeping Yu, Rui Cao,Qiyi Tang, Sen Nie, Junzhou Huang and Shi Wu

In Proc. of the Thirty-Fourth AAAI Conference on Artificial Intelligence , AAAI'20, NYC, New York, USA, February 2020. · conference

2020

Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses

Xiaoming Shi, Haifeng Hu, Wanxiang Che, Zhongqian Sun, Ting Liu and Junzhou Huang

In Proc. of the Thirty-Fourth AAAI Conference on Artificial Intelligence , AAAI'20, NYC, New York, USA, February 2020. · conference

2020

Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks

Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong and Junzhou Huang

In Proc. of the Thirty-Fourth AAAI Conference on Artificial Intelligence , AAAI'20, NYC, New York, USA, February 2020. · conference

2020

Graph Few-shot Learning via Knowledge Transfer

Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang , Nitesh Chawla, Zhenhui Li

In Proc. of the Thirty-Fourth AAAI Conference on Artificial Intelligence , AAAI'20, NYC, New York, USA, February 2020. · conference

2020

A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models

Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu and Junzhou Huang

In Proc. of the Thirty-Fourth AAAI Conference on Artificial Intelligence , AAAI'20, NYC, New York, USA, February 2020. · conference

2019

50 FPS Object-Level Saliency Detection via Maximally Stable Region

Xiaoming Huang, Yin Zheng, Junzhou Huang , Yu-Jin Zhang

IEEE Transactions on Image Processing , Volume 29, pp. 1384-1396, September 2019. · journal

2019

Weakly Supervised Mitosis Detection in Breast Histopathology Images Using Concentric Loss

Chao Li, Xinggang Wang, Wenyu Liu, Longin Jan Lateckib, Bo Wang and Junzhou Huang

Medical Image Analysis , Volume 53, pp.165-178, April 2019. · journal

2019

Adaptive Cost-sensitive Online Classification

Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan and Junzhou Huang

IEEE Transactions on Knowledge and Data Engineering , Volume 31, No. 2, pp.214-228, February 2019. · journal

2019

Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement

Chao Yang, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Huaping Liu, Junzhou Huang and Chuang Gan

In Proc. of the 33rd Annual Conference on Neural Information Processing Systems , NIPS'19, Vancouver, Canada, December 2019. · conference

2019

NAT: Neural Architecture Transformer for Accurate and Compact Architectures

Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao and Junzhou Huang

In Proc. of the 33rd Annual Conference on Neural Information Processing Systems , NIPS'19, Vancouver, Canada, December 2019. · conference

2019

Hyperparameter Learning via Distributional Transfer

Ho Chung Leon Law, Peilin Zhao, Lucian Chan, Junzhou Huang and Dino Sejdinovic

In Proc. of the 33rd Annual Conference on Neural Information Processing Systems , NIPS'19, Vancouver, Canada, December 2019. · conference

2019

DTWNet: a Dynamic Time Warping Network

Xingyu Cai, Tingyang Xu, Jinfeng Yi, Junzhou Huang and Sanguthevar Rajasekaran

In Proc. of the 33rd Annual Conference on Neural Information Processing Systems , NIPS'19, Vancouver, Canada, December 2019. · conference

2019

Accelerating Distributed Stochastic L-BFGS by sampled 2nd-Order Information

Jie Liu, Yu Rong, Martin Takác and Junzhou Huang

The NeurIPS Workshop on Beyond First Order Methods in Machine Learning Systems , Vancouver, Canada, December 2019. · workshop

2019

Transferable Neural Processes for Hyperparameter Optimization

Ying Wei, Peilin Zhao, Huaxiu Yao, Junzhou Huang

The NeurIPS Workshop on Meta Learning , Vancouver, Canada, December 2019. · workshop

2019

Graph Few-shot Learning via Knowledge Transfer

Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang , Nitesh Chawla, Zhenhui Li

The NeurIPS Workshop on Graph Representation Learning , Vancouver, Canada, December 2019. · workshop

2019

Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis

Yifan Zhang, Ying Wei, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Mingkui Tan, Junzhou Huang

The NeurIPS Workshop on Medical Imaging Meets NeurIPS , Vancouver, Canada, December 2019. · workshop

2019

Low-Dose CT Image Denoising Using Cycle-Consistent Adversarial Networks

Zeheng Li, Junzhou Huang , Lifeng Yu, Yujie Chi, Mingwu Jin

In Proc. of IEEE Nuclear Science Symposium and Medical Imaging Conference , NSSMIC’19, Manchester, UK, October 2019. · conference

2019

Facial Image-to-Video Translation by a Hidden Affine Transformation

Guangyao Shen, Wenbing Huang, Chuang Gan, Mingkui Tan, Junzhou Huang , Wenwu Zhu, Boqing Gong

In Proc. of the 27th ACM International Conference on Multimedia , Nice, France, October 2019. · conference

2019

Graph Convolutional Networks for Temporal Action Localization

Runhao Zeng, Wenbing Huang, Chuang Gan, Mingkui Tan, Yu Rong, Peilin Zhao and Junzhou Huang

In Proc. of the 17th International Conference on Computer Vision , ICCV'19, Seoul, Korea, October 2019. · conference

2019

Integrating 3D Geometry of Organ for Improving Medical Imaging Segmentation

Jiawen Yao, Jinzheng Cai, Dong Yang, Daguang Xu and Junzhou Huang

In Proc. of the 21st Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'19, Shenzhen, China, October 2019. · conference

2019

Deep Multi-Instance Learning for Survival prediction from Whole Slide Images

Jiawen Yao, Xinliang Zhu and Junzhou Huang

In Proc. of the 21st Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'19, Shenzhen, China, October 2019. · conference

2019

From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification

Yifan Zhang, Hanbo Chen, Ying Wei, Peilin Zhao, Jiezhang Cao, Mingkui Tan, Qingyao Wu, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Jinlong Hou, Xiao Han, Jianhua Yao and Junzhou Huang

In Proc. of the 21st Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'19, Shenzhen, China, October 2019. · conference

2019

Rectified Cross-Entropy and Upper Transition Loss for Weakly Supervised Whole Slide Image Classifier

Hanbo Chen, Xiao Han, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Junzhou Huang and Jianhua Yao

In Proc. of the 21st Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'19, Shenzhen, China, October 2019. · conference

2019

Leveraging Other Datasets for Medical Imaging Classification: Evaluation of Transfer, Multi-task and Semi-supervised Learning

Hong Shang, Zhongqian Sun, Wei Yang, Xinghui Fu, Han Zheng, Jia Chang and Junzhou Huang

In Proc. of the 21st Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'19, Shenzhen, China, October 2019. · conference

2019

SMILES-BERT: Large Scale Unsupervised Pre-Training for Molecular Property Prediction

Sheng Wang, Yuzhi Guo, Yuhong Wang, Hongmao Sun and Junzhou Huang

In Proc. of The 10th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics , BCB'19, Niagara Falls, NY, USA, September 2019. · conference

2019

Collaborative Channel Pruning for Deep Networks

Hanyu Peng, Jiaxiang Wu, Shifeng Chen and Junzhou Huang

In Proc. of International Conference on Machine Learning , ICML'19, Long Beach, CA, USA, June 2019. · conference

2019

RaFM: Rank-Aware Factorization Machines

Xiaoshuang Chen, Yin Zheng, Jiaxing Wang, Wenye Ma and Junzhou Huang

In Proc. of International Conference on Machine Learning , ICML'19, Long Beach, CA, USA, June 2019. · conference

2019

Hierarchically Structured Meta-learning

Huaxiu Yao, Ying Wei, Junzhou Huang and Zhenhui Li

In Proc. of International Conference on Machine Learning , ICML'19, Long Beach, CA, USA, June 2019. · conference

2019

Graph Convolutional Nets for Tool Presence Detection in Surgical Videos

Sheng Wang, Zheng Xu, Chaochao Yan and Junzhou Huang

In Proc. of The 26th International Conference on Information Processing in Medical Imaging , IPMI'19, Hong Kong, China, June 2019. · conference

2019

Progressive Feature Alignment for Unsupervised Domain Adaptation

Chaoqi Chen, Weiping Xie, Tingyang Xu, Wenbing Huang, Yu Rong, Xinghao Ding, Yue Huang and Junzhou Huang

In Proc. of IEEE Conference on Computer Vision and Pattern Recognition , CVPR'19, Long Beach, CA, USA, June 2019. · conference

2019

Semi-Supervised Graph Classification: A Hierarchical Graph Perspective

Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wenbing Huang and Junzhou Huang

In Proc. of International World Wide Web Conference , WWW'19, San Francisco, CA, USA, May 2019. · conference

2019

Polyp Tracking in Video Colonoscopy Using Optical Flow With an On-The-Fly Trained CNN

He Zheng, Hanbo Chen, Junzhou Huang , Xuzhi Li, Xiao Han and Jianhua Yao

In Proc. of The Sixteenth IEEE International Symposium on Biomedical Imaging , ISBI'19, Venice, Italy, April 2019. · conference

2019

Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning

Bo Liu, Xiaotong Yuan, Lezi Wang, Qingshan Liu, Junzhou Huang , Dimitris Metaxas

In Proc. of The 22nd International Conference on Artificial Intelligence and Statistics , AISTATS'19, Naha, Okinawa, Japan, April 2019. · conference

2019

Exploring Fast and Communication Efficient Algorithms in Large-scale Distributed Networks

Yue Yu, Jiaxiang Wu and Junzhou Huang

In Proc. of The 22nd International Conference on Artificial Intelligence and Statistics , AISTATS'19, Naha, Okinawa, Japan, April 2019. · conference

2019

Complexities in Projection-Free Stochastic Non-convex Minimization

Zebang Shen, Hui Qian, Cong Fang, Peilin Zhao and Junzhou Huang

In Proc. of The 22nd International Conference on Artificial Intelligence and Statistics , AISTATS'19, Naha, Okinawa, Japan, April 2019. · conference

2019

Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation

Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang and Boqing Gong

In Proc. of The Thirty-Third AAAI Conference on Artificial Intelligence , AAAI'19, Honolulu, Hawaii, USA, February 2019. (Oral Presentation) · conference

2019

An Efficient Approach to Informative Feature Extraction from Multimodal Data

Lichen Wang, Jiaxiang Wu, Shaolun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang and Junzhou Huang

In Proc. of The Thirty-Third AAAI Conference on Artificial Intelligence , AAAI'19, Honolulu, Hawaii, USA, February 2019. · conference

2018

PRIM: An Efficient Preconditioning Iterative Reweighted Least Squares Method for Parallel Brain MRI Reconstruction

Zheng Xu, Sheng Wang, Yeqing Li, Feiyun Zhu and Junzhou Huang

Neuroinformatics , Volume 16, Issue 3-4, pp. 425-430, October 2018. · journal

2018

Fast Iteratively Reweighted Least Squares Algorithms for Analysis-Based Sparse Reconstruction

Chen Chen, Lei He, Hongsheng Li and Junzhou Huang

Medical Image Analysis , Volume 49, pp.141-152, October 2018. · journal

2018

Hierarchical Sparse Representation for Robust Image Registration

Yeqing Li, Chen Chen, Fei Yang and Junzhou Huang

IEEE Transactions on Pattern Analysis and Machine Intelligence , Volume 40, Issue 9, pp.2151-2164, September 2018. · journal

2018

A Minimum Barrier Distance Based Saliency Box for Object Proposals Generation

Xiaoming Huang, Yin Zheng, Junzhou Huang and Yujin Zhang

IEEE Signal Processing Letters , Volume 25, Issue 8, pp. 1126-1130, August 2018. · journal

2018

Sub-Selective Quantization for Learning Binary Code in Large-Scale Image Search

Yeqing Li, Wei Liu and Junzhou Huang

IEEE Transactions on Pattern Analysis and Machine Intelligence , Volume 40, Issue 6, pp. 1526-1532, June 2018. · journal

2018

A Simple Primal-dual Algorithm for Nuclear Norm and Total Variation Regularization

Zhibin Zhu, JiawenYao, Zheng Xu, Junzhou Huang and Benxin Zhang

Neurocomputing , Volume 289, pp. 1-12, May 2018. · journal

2018

An Efficient Algorithm for Dynamic MRI Using Low-rank and Total Variation Regularization

Jiawen Yao, Zheng Xu, Xiaolei Huang and Junzhou Huang

Medical Image Analysis , Volume 44, pp. 14-27, February 2018. [ CODE ] · journal

2018

Adaptive Sampling Towards Fast Graph Representation Learning

Wenbing Huang, Tong Zhang, Yu Rong and Junzhou Huang

In Proc. of the 32nd Annual Conference on Neural Information Processing Systems , NIPS'18, Montreal, Canada, December 2018. · conference

2018

Discrimination-aware Channel Pruning for Deep Neural Networks

Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Jiezhang Cao, Qingyao Wu, Junzhou Huang , Jinhui Zhu

In Proc. of the 32nd Annual Conference on Neural Information Processing Systems , NIPS'18, Montreal, Canada, December 2018. · conference

2018

Weakly Supervised Dense Event Captioning in Videos

Xuguang Duan, Wenbing Huang, Chuang Gan, Jingdong Wang, Wenwu Zhu and Junzhou Huang

In Proc. of the 32nd Annual Conference on Neural Information Processing Systems , NIPS'18, Montreal, Canada, December 2018. · conference

2018

Hyperparameter Learning via Distributional Transfer

Ho Chung Leon Law, Peilin Zhao, Junzhou Huang and Dino Sejdinovic

In The NIPS 2018 Workshop on Meta-Learning , Montreal, Canada, December 2018. · workshop

2018

PocketFlow: An Automated Framework for Compressing and Accelerating Deep Neural Networks

Jiaxiang Wu, Yao Zhang, Haoli Bai, Huasong Zhong, Jinlong Hou, Wei Liu, Wenbing Huang and Junzhou Huang

In The NIPS 2018 Workshop on Compact Deep Neural Networks with Industrial Applications , Montreal, Canada, December 2018. · workshop

2018

Deep Multi-instance Learning with Dynamic Pooling

Yongluan Yan, Xinggang Wang, Xiaojie Guo, Jiemin Fang, Wenyu Liu and Junzhou Huang

In Proc. of the 10th Asian Conference on Machine Learning , ACML'18, Beijing, China, November 2018. · conference

2018

Weakly Supervised Region Proposed Network and Object Detection

Peng Tang, Xinggang Wang, Angtian Wang, Yongluan Yan, Wenyu Liu, Junzhou Huang and Alan Yuille

In Proc. of The 15th European Conference on Computer Vision , ECCV'18, Munich, Germany, September 2018. · conference

2018

Weakly-supervised Deep Learning for Thoracic Disease Classi cation and Localization on Chest X-rays

Chaochao Yan, Jiawen Yao, Ruoyu Li, Zheng Xu and Junzhou Huang

In Proc. of The 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics , BCB'18, Washington DC, USA, September 2018. · conference

2018

Seq3seq Fingerprint: Towards End-to-end Semi-supervised Deep Drug Discovery

Xiaoyu Zhang, Sheng Wang, Feiyun Zhu, Zheng Xu, Yuhong Wang and Junzhou Huang

In Proc. of The 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics , BCB'18, Washington DC, USA, September 2018. · conference

2018

Cohesion-driven Online Actor-Critic Reinforcement Learning for mHealth Intervention

Feiyun Zhu, Peng Liao, Xinliang Zhu, Jiawen Yao and Junzhou Huang

In Proc. of The 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics , BCB'18, Washington DC, USA, September · conference

2018

Robust Actor-Critic Contextual Bandit for Mobile Health (mHealth) Interventions

Feiyun Zhu, Jun Guo, Ruoyu Li and Junzhou Huang

In Proc. of The 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics , BCB'18, Washington DC, USA, September 2018. · conference

2018

Graph CNN for Survival Analysis on Whole Slide Pathological Images

Ruoyu Li, Jiawen Yao, Xinliang Zhu, Yeqing Li and Junzhou Huang

In Proc. of the 20th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'18, Granada, Spain, September 2018. · conference

2018

Group-driven Reinforcement Learning for Personalized mHealth Intervention

Feiyun Zhu, Jun Guo, Zheng Xu, Peng Liao and Junzhou Huang

In Proc. of the 20th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'18, Granada, Spain, September 2018. · conference

2018

Robust Contextual Bandit via the Capped-L2 Norm for Mobile Health Intervention

Feiyun Zhu, Xinliang Zhu, Sheng Wang, Jiawen Yao, Zhichun Xiao and Junzhou Huang

In The 9th International Workshop on Machine Learning in Medical Imaging , MLMI'18, Granada, Spain, September 2018. · workshop

2018

Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization

JiaxiangWu, Weidong Huang, Junzhou Huang and Tong Zhang

In Proc. of International Conference on Machine Learning , ICML'18, Stockholm, Sweden, July 2018. · conference

2018

Transfer Learning via Learning to Transfer

Ying Wei, Yu Zhang, Junzhou Huang , Qiang Yang

In Proc. of International Conference on Machine Learning , ICML'18, Stockholm, Sweden, July 2018. · conference

2018

Adversarial Learning with Local Coordinate Coding

Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang , Mingkui Tan

In Proc. of International Conference on Machine Learning , ICML'18, Stockholm, Sweden, July 2018. · conference

2018

Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data

Yifan Zhang, Peilin Zhao, Jiezhang Cao, Wenye Ma, Junzhou Huang , Qingyao Wu and Mingkui Tan

In Proc. of ACM SIGKDD Conference on Knowledge Discovery and Data Mining , KDD'18, London, UK, August 2018. · conference

2018

End-to-End Learning of Motion Representation for Video Understanding

Lijie Fan, Wenbing Huang, Chuang Gan, Stefano Ermon, Boqing Gong and Junzhou Huang

In Proc. of IEEE Conference on Computer Vision and Pattern Recognition , CVPR'18, Salt Lake, Utah, USA, June 2018. (Spotlight) · conference

2018

Exploiting Ranking Consistency Principle in Representation Learning for Location Promotion

Siyuan Zhang, Yu Rong, Yu Zheng, Hong Cheng and Junzhou Huang

In Proc. of The 23rd International Conference on Database Systems for Advanced Applications , DASFAA'18, Gold Coast, Australia, May 2018. · conference

2018

Online Compact Convexified Factorization Machine

Xiao Lin, Wenpeng Zhang, Min Zhang, Peilin Zhao, Wenwu Zhu, Jian Pei and Junzhou Huang

International World Wide Web Conference , WWW'18, Lyon, France, April 2018. · conference

2018

Adaptive Graph Convolutional Neural Networks

Ruoyu Li, Sheng Wang, Feiyun Zhu and Junzhou Huang

In Proc. of The Thirty-Second AAAI Conference on Artificial Intelligence , AAAI'18, New Orleans, USA, February 2018. (Oral Presentation) · conference

2017

Specific and Intrinsic Sequence Patterns Extracted by Deep Learning from Intra-Protein Binding and Non-binding Peptide Fragments

Yuhong Wang, Junzhou Huang , Wei Li, Sheng Wang and Chuanfan Ding

Scientific Reports , November 2017. · other

2017

Automatic Extraction of Cell Nuclei from H&E-stained Histopathological Images

Faliu Yi, Junzhou Huang , Lin Yang, Yang Xie and Guanghua Xiao

Journal of Medical Imaging , Volume 4, pp. 4-12, June 2017. · journal

2017

Comprehensive Computational Pathological Image Analysis Predicts Lung Cancer Prognosis

Xin Luo, Xiao Zang, Lin Yang, Junzhou Huang , Faming Liang, Jaime Rodriguez Canales, Ignacio I. Wistuba, Adi Gazdar, Yang Xie, Guanghua Xiao

Journal of Thoracic Oncology, Volume 12, pp.501-509, March 2017. · journal

2017

TENDER: TEnsor Non-local Deconvolution Enabled Radiation Reduction in CT Perfusion

Ruogu Fang, Ajay Gupta, Junzhou Huang , Pina Sanelli

NeuroComputing , Volume 229, pp. 13-22, March 2017. · journal

2017

Accelerated Cell Detection with Sparse Convolution Kernels

Junzhou Huang , Zheng Xu

book chapter, Deep Learning and Convolutional Neural Networks for Medical Image Computing , ISBN: 9783319429984, Springer, 2017. · other

2017

Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding

Wenbing Huang, Mehrtash Harandi, Tong Zhang, Lijie Fan, Fuchun Sun and Junzhou Huang

In Proc. of the 31st Annual Conference on Neural Information Processing Systems , NIPS'17, Long Beach, Los Angeles, California, USA, December 2017. · conference

2017

Deep Correlational Learning for Survival Prediction from Multi-modality Data

Jiawen Yao, Xinliang Zhu, Feiyun Zhu and Junzhou Huang

In Proc. of the 19th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'17, Quebec City, Quebec, Canada, September 2017. (Oral Presentation) · conference

2017

Seq2seq Fingerprint: An Unsupervised Deep Molecular Embedding for Drug Discovery

Zheng Xu, Sheng Wang, Feiyun Zhu and Junzhou Huang

In Proc. of the 8th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics , BCB'17, Boston, MA, August 2017. · conference

2017

WSISA: Making Survival Prediction from Whole Slide Pathology Images

Xinliang Zhu, Jiawen Yao, Feiyun Zhu and Junzhou Huang

In Proc. of IEEE Conference on Computer Vision and Pattern Recognition , CVPR'17, Honolulu, Hawaii, USA, July 2017. · conference

2017

Deep Learning Based Multi-label Classification for Surgical Tool Presence Detection in Laparoscopic Videos

Sheng Wang, Ashwin Raju and Junzhou Huang

In Proc. of the International Symposium on Biomedical Imaging, ISBI'17, Melbourne, Australia, April 2017. · conference

2017

Adaptive Proximal Average Approximation for Composite Convex Minimization

Li Shen, Wei Liu, Junzhou Huang , Yugang Jiang and Shiqian Ma

In Proc. of the Thirty-First AAAI Conference on Artificial Intelligence, AAAI'17, San Francisco, California USA, February 2017. · conference

2017

A General Efficient Hyperparameter-free Algorithm for Convolutional Sparse Learning

Zheng Xu and Junzhou Huang

In Proc. of the Thirty-First AAAI Conference on Artificial Intelligence, AAAI'17, San Francisco, California USA, February 2017. · conference

2016

Scalable Histopathological Image Analysis via Supervised Hashing with Multiple Features

Menglin Jiang, Shaoting Zhang, Junzhou Huang , Lin Yang, Dimitris Metaxas

Medical Image Analysis , Volume 34, pp. 3-12, December 2016. · journal

2016

Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model

Xiang Yu, Junzhou Huang , Shaoting Zhang, Dimitris Metaxas

IEEE Transactions on Pattern Analysis and Machine Intelligence , Volume 38, Issue 11, pp. 2212-2226, November 2016. · journal

2016

Real Time Dynamic MRI by Exploiting Spatial and Temporal Sparsity

Chen Chen, Yeqing Li, Leon Axel and Junzhou Huang

Magnetic Resonance Imaging , Volume 34, Issue 4, pp. 473-482, May 2016. · journal

2016

Advanced Sparsity Techniques in Magnetic Resonance Imaging

Junzhou Huang , Yeqing Li

book chapter, Machine Learning and Medical Imaging , ISBN: 978-0-12-804076-8, Elsevier Press, · other

2016

Deep Convolutional Neural Network for Survival Analysis with Pathological Images

Xinliang Zhu, Jiawen Yao and Junzhou Huang

IEEE International Conference on Bioinformatics and Biomedicine , BIBM'16, Shenzhen, China, December 2016. · conference

2016

Imaging-Genetic Data Mapping for Clinical Outcome Prediction via Supervised Conditional Gaussian Graphical Model

Xinliang Zhu, Jiawen Yao, Guanghua Xiao, Yang Xie, Jaime Rodriguez-Canales, Edwin R. Parra, Carmen Behrens, Ignacio I. Wistuba and Junzhou Huang

IEEE International Conference on Bioinformatics and Biomedicine , BIBM'16, Shenzhen, China, December 2016. · conference

2016

Accelerated Sparse Optimization for Missing Data Completion

Zheng Xu, Yeqing Li and Junzhou Huang

In Proc. of the 23rd International Conference on Pattern Recognition , ICPR'16, Cancun, Mexico, December · conference

2016

Detecting 10,000 Cells in One Second

Zheng Xu, Junzhou Huang

In Proc. of the 19th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'16, Athens, Greece, October 2016. · conference

2016

Subtype Cell Detection with an Accelerated Deep Convolution Neural Network

Sheng Wang, Jiawen Yao, Zheng Xu, Junzhou Huang

In Proc. of the 19th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'16, Athens, Greece, October 2016. · conference

2016

Clinical Imaging Biomarker Discovery for Survival Prediction on Lung Cancer Imaging Genetic Data

Jiawen Yao, Sheng Wang, Xinliang Zhu, Junzhou Huang

In Proc. of the 19th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'16, Athens, Greece, October 2016. (Oral Presentation) · conference

2016

Track Facial Points in Unconstrained Videos

Xi Peng, Qiong Hu, Junzhou Huang , Dimitris Metaxas

The 27th British Machine Vision Conference , BMVC'16, York, UK, September 2016. · conference

2016

Semi-supervised Group Sparse Representation: Model, Algorithm and Applications

Longwen Gao, Yeqing Li, Junzhou Huang , Shuigeng Zhou

In Proc. of the 22st European Conference on Artificial Intelligence , ECAI'16, Hague, August 2016. · conference

2016

Sequential Face Alignment via Person-Specific Modeling in the Wild

Xi Peng, Junzhou Huang , Dimitris Metaxas

In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition Workshops , CVPRW'16, Las Vegas, USA, June · workshop

2016

Lung Cancer Survival Prediction from Pathological Images and Genetic Data - An Integration Study

Xinliang Zhu, Jianwen Yao, Xin Luo, Guanghua Xiao, Yang Xie, Adi Gazdar and Junzhou Huang

In Proc. of The International Symposium on Biomedical Imaging, ISBI'16, Prague, Czech Republic, April 2016. · conference

2016

RSPIRiT: Robust Self-Consistent Parallel Imaging Reconstruction Based on Generalized Lasso

Zhongxing Peng, Zheng Xu, Junzhou Huang

In Proc. of The International Symposium on Biomedical Imaging, ISBI'16, Prague, Czech Republic, April 2016. · conference

2016

Scalable Sequential Spectral Clustering

Yeqing Li, Junzhou Huang , Wei Liu

In Proc. of The Thirtieth AAAI Conference on Artificial Intelligence, AAAI'16, Phoenix, Arizona, USA, February 2016. · conference

2015

Automated Compromised right Lung Segmentation Method Using a Robust Atlas-based Active Volume Model with Sparse Shape Composition Prior in CT

Jinghao Zhou, Zhennan Yan, Giovanni Lasio, Junzhou Huang , Baoshe Zhang, Navesh Sharma, Karl Prado, Warren D’Souza

Computerized Medical Imaging and Graphics, Volume 46, pp. 47-55, December 2015. · journal

2015

Tissue-Specific Sparse Deconvolution for Brain CT Perfusion

Ruogu Fang, Haodi Jiang, Junzhou Huang

Computerized Medical Imaging and Graphics , Volume 46, pp. 64-72, December 2015. · journal

2015

SIRF: Simultaneous Satellite Image Registration and Fusion in A Unified Framework

Chen Chen, Yeqing Li, Wei Liu and Junzhou Huang

IEEE Transactions on Imaging Processing , Vol. 24, No.11, November 2015. · journal

2015

Learning Multi-scale Active Facial Patches for Expression Analysis

Lin Zhong, Qingshan Liu, Peng Yang, Junzhou Huang and Dimitris Metaxas

IEEE Transaction on Cybernetics , Volume 45, Number 8, pp.1499-1510, August 2015. · journal

2015

From Circle to 3-Sphere: Head Pose Estimation by Instance Parameterization

Xi Peng, Junzhou Huang , Qiong Hu, Shaoting Zhang, Ahmed Elgammal and Dimitris Metaxas

Computer Vision and Image Understanding , Volume 136, pp.92-102, July 2015. · journal

2015

Is Interactional Dissynchrony a Clue to Deception? Insights from Automated Analysis of Nonverbal Visual Cues

Xiang Yu, Shaoting Zhang, Zhenan Yan, Fei Yang, Junzhou Huang , Norah Dunbar, Matthew Jensen, Judee K. Burgoon and Dimitris N. Metaxas

IEEE Transactions on Cybernetics , Volume 45, Issue 3, pp. 506-520, March 2015. · journal

2015

Computer-assisted Diagnosis of Lung Cancer Using Quantitative Topology Features

Jiawen Yao, Dheeraj Ganti, Xin Luo, Guanghua Xiao, Yang Xie, Shirley Yan and Junzhou Huang

6th International Workshop on Machine Learning in Medical Imaging , MLMI'15, Munich, Germany, October 2015. · workshop

2015

Efficient Lung Cancer Cell Detection with Deep Convolution Neural Network

Zheng Xu, Junzhou Huang

1st International Workshop on Patch-based Techniques in Medical Imaging , PMI'15, Munich, Germany, October 2015. · workshop

2015

An Effective Approach for Robust Lung Cancer Cell Detection

Hao Pan, Zheng Xu, Junzhou Huang

1st International Workshop on Patch-based Techniques in Medical Imaging , PMI'15, Munich, Germany, October 2015. · workshop

2015

Fast Regions-of-Interest Detection in Whole Slide Histopathology Images

Ruoyu Li, Junzhou Huang

1st International Workshop on Patch-based Techniques in Medical Imaging , PMI'15, Munich, Germany, October 2015. · workshop

2015

A Efficient 4D Non-Local Tensor Total-Variation for Low-Dose CT Perfusion Deconvolution

Ruogu Fang, Ming Ni, Junzhou Huang , Qianmu Li, Tao Li

MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data , MCV'15, Munich, Germany, October 2015. · workshop

2015

Efficient Preconditioning in Joint Total Variation Regularized Parallel MRI Reconstruction

Zheng Xu, Yeqing Li, Leon Axel, Junzhou Huang

In Proc. of the 18th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'15, Munich, Germany, October 2015. · conference

2015

Fast Preconditioning for Accelerated Multi-Contrast MRI Reconstruction

Ruoyu Li, Yeqing Li, Ruogu Fang, Shaoting Zhang, Hao Pan, Junzhou Huang

In Proc. of the 18th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'15, Munich, Germany, October 2015. (Oral presentation 36/810 = ~4% ) · conference

2015

Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis

Menglin Jiang, Shaoting Zhang, Junzhou Huang , Lin Yang, Dimitris Metaxas

In Proc. of the 18th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'15, Munich, Germany, October 2015. (MICCAI Young Scientist Award, 4 out of 810 submissions) · conference

2015

Accelerated Dynamic MRI Reconstruction with Total Variation and Nuclear Norm Regularization

Jiawen Yao, Zheng Xu, Xiaolei Huang, Junzhou Huang

In Proc. of the 18th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'15, Munich, Germany, October 2015. [ CODE ] · conference

2015

Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information

Cheng Deng, Zongting Lv , Wei Liu, Junzhou Huang , Dacheng Tao, Xinbo Gao

In Proc. of International Joint Conference on Artificial Intelligence , IJCAI'15, Buenos Aires, Argentina, July 2015. · conference

2015

Deep Sparse Representation for Robust Image Registration

Yeqing Li, Chen Chen, Fei Yang and Junzhou Huang

In Proc. of IEEE Conference on Computer Vision and Pattern Recognition , CVPR'15, Boston, USA, June 2015. · conference

2015

A Spatio-Temporal Low-rank Total Variation Approach for Denoising Arterial Spin Labeling MRI Data

Ruogu Fang, Junzhou Huang , Wen-Ming Luh

In Proc. of IEEE International Symposium on Biomedical Imaging , ISBI'15, Brooklyn Bridge, NY, USA, April 2015. · conference

2015

Multi-frequency Diffuse Optical Tomography for Cancer Detection

Chen Chen, Venkaiah Chowdary Kavuri, Xinlong Wang, Ruoyu Li, Hanli Liu, Junzhou Huang

In Proc. of IEEE International Symposium on Biomedical Imaging , ISBI'15, Brooklyn Bridge, NY, USA, April 2015. · conference

2015

Robust Image Registration in the Gradient Domain

Yeqing Li, Chen Chen, Jinghao Zhou, Junzhou Huang

In Proc. of IEEE International Symposium on Biomedical Imaging , ISBI'15, Brooklyn Bridge, NY, USA, April 2015. · conference

2015

Three-Dimensional Head Pose Estimation in-the-Wild

Xi Peng, Junzhou Huang , Qiong Hu, Shaoting Zhang, Dimitris Metaxas

In Proc. the 11th IEEE International Conference on Automatic Face and Gesture Recognition , FG'15, Ljubljana, Slovenia, May 2015. · conference

2015

Large-Scale Multi-View Spectral Clustering via Bipartite Graph

Yeqing Li, Feiping Nie, Heng Huang and Junzhou Huang

In Proc. of the Twenty-Ninth AAAI Conference on Artificial Intelligence , AAAI'15, Austin, TX, USA, Januanry 2015. · conference

2014

Diffuse Optical Tomography Enhanced by Clustered Sparsity for Functional Brain Imaging

Chen Chen, Fenghua Tian, Hanli Liu and Junzhou Huang

IEEE Transactions on Medical Imaging , Volume 33, Issue 12, pp. 2323-2331, December 2014. · journal

2014

Feature Matching with Affine-Function Transformation Models

Hongsheng Li, Xiaolei Huang, Junzhou Huang , Shaoting Zhang

IEEE Transactions on Pattern Analysis and Machine Intelligence , Volume 36, Issue 12, pp. 2407-2422, December 2014. · journal

2014

Fast Multi-contrast MRI Reconstruction

Junzhou Huang , Chen Chen, Leon Axel

Magnetic Resonance Imaging , Volume 32, Issue 10, pp. 1344-1352, December 2014. · journal

2014

Exploiting the wavelet structure in Compressed Sensing MRI

Chen Chen and Junzhou Huang

Magnetic Resonance Imaging , Volume 32, Issue 10, pp. 1377-1389, December 2014. · journal

2014

The Benefit of Tree Sparsity in Accelerated MRI

Chen Chen and Junzhou Huang

Medical Image Analysis , Volume 18, Issue 6, pp. 834-842, August 2014. · journal

2014

Forest Sparsity for Multi-channel Compressive Sensing

Chen Chen, Yeqing Li, and Junzhou Huang

IEEE Transactions on Signal Processing , Volume 62, Issue 11, pp. 2803-2813, June 2014. · journal

2014

Multimodal Sparse Representation Classification with Fisher Discriminative Sample Reduction

Soheil Shafiee, Farhad Kamangar, Vassilis Athitsos, Junzhou Huan g and Laleh Ghandehari

In Proc. of IEEE International Conference on Image Processing, ICIP'14, Paris, France, October 2014. · conference

2014

Real Time Dynamic MRI with Dynamic Total Variation

Chen Chen, Yeqing Li, Leon Axel and Junzhou Huang

In Proc. of the 16th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'14, Boston, USA, September 2014. · conference

2014

Instrument Tracking via Online Learning in Retinal Microsurgery

Yeqing Li, Chen Chen, Xiaolei Huang and Junzhou Huang

In Proc. of the 16th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'14, Boston, USA, September 2014. (Oral Presentation) (Best Student Paper Award Runners Up) · conference

2014

Sub-SelectiveQuantization for Large-Scale Image Search

Yeqing Li, Chen Chen, Wei Liu, and Junzhou Huang

In Proc. of the Twenty-Eighth AAAI Conference on Artificial Intelligence , AAAI'14, Québec, Canada, July 2014. (Oral Presentation) · conference

2014

O(1) Algorithms for Overlapping Group Sparsity

Chen Chen, Zhongxing Peng, and Junzhou Huang

In Proc. of International Conference on Pattern Recognition , ICPR'14, Stockholm, Sweden, August 2014. (Oral Presentation) · conference

2014

Transformation-invariant Collaborative Sub-representation

Yeqing Li, Chen Chen, and Junzhou Huang

In Proc. of International Conference on Pattern Recognition , ICPR'14, Stockholm, Sweden, August 2014. · conference

2014

Head Pose Estimation by Instance Parameterization

Xi Peng, Junzhou Huang , Qiong Hu, Shaoting Zhang and Dimitris N. Metaxas

In Proc. of International Conference on Pattern Recognition , ICPR'14, Stockholm, Sweden, August 2014. · conference

2014

Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction

Chen Chen, Junzhou Huang , Lei He, and Hongsheng Li

In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, CVPR'14, Columbus, Ohio, USA, June 2014. (Oral Presentation) · conference

2014

Image Fusion with Local Spectral Consistency and Dynamic Gradient Sparsity

Chen Chen, Yeqing Li, Wei Liu, and Junzhou Huang

In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, CVPR'14, Columbus, Ohio, USA, June 2014. (Oral Presentation) · conference

2014

Energy Disaggregation via Hierarchical Factorial HMM

Yeqing Li, Zhongxing Peng, Junzhou Huang , Zhilin Zhang and Jae Hyun Son

The Second International Workshop on Non-Intrusive Load Monitoring , NILM'14, Austin, TX, USA, June 2014.. · workshop

2014

Sparsity Driven Background Modeling and Foreground Detection

Junzhou Huang , Chen Chen, and Xinyi Cui

book chapter, to appear in "Background Modeling and Foreground Detection for Video Surveillance", CRC Press, July 2014. · other

2014

Exploiting Both Intra-quadtree and Inter-spatial Structures for Multi-contrast MRI

Chen Chen and Junzhou Huang

In Proc. of IEEE International Symposium on Biomedical Imaging , ISBI'14, Beijing, China, April 2014. · conference

2014

2D Diffuse Optical Imaging Using Clustered Sparsity

Chen Chen, Fenghua Tian, Jixing Yao, Hanli Liu and Junzhou Huang

In Proc. of IEEE International Symposium on Biomedical Imaging , ISBI'14, Beijing, China, April 2014. (Oral Presentation) · conference

2013

3D Anatomical Shape Atlas Construction using Mesh Quality Preserved Deformable Models

Shaoting Zhang, Yiqiang Zhan, Xinyi Cui, Mingchen Gao, Junzhou Huang , Dimitris Metaxas

Computer Vision and Image Understanding , Volume 117, Issue 9, pp. 1061-1071, September 2013. · journal

2013

Robust Visual Tracking Using Local Sparse Appearance Model and K-Selection

Baiyang Liu, Junzhou Huang , Casimir Kulikowski, Lin Yang

IEEE Transactions on Pattern Analysis and Machine Intelligence , Volume 35, Issue 12, pp. 2968-2981, December 2013. · journal

2013

Calibrationless Parallel MRI with Joint Total Variation Regularization

Chen Chen, Yeqing Li and Junzhou Huang

In Proc. of the 16th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'13, Nagoya, Japan, September 2013. · conference

2013

Pose-free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model

Xiang Yu, Junzhou Huang , Shaoting Zhang, Wang Yan and Dimitris Metaxas

In Proc. of the 14th International Conference on Computer Vision , ICCV'13, Sydney, Australia, December 2013. · conference

2013

The Role of Dictionary Learning on Sparse Representation-based Classification

Soheil Shafiee, Farhad Kamangar, Vassilis Athitsos and Junzhou Huan g

In Proc. of the 6th International Conference on Pervasive Technologies Related to Assistive Environments , PETRA'13, Rhodes Island, Greece, May 2013. · conference

2013

Efficient Sparse Representation Using Adaptive K-means Clustering

Soheil Shafiee, Farhad Kamangar, Vassilis Athitsos and Junzhou Huang

In International Conference on Image Processing, Computer Vision, and Pattern Recognition , IPCV'13, Las Vegas, USA, July 2013. · conference

2013

Sparse Deformable Models with Application to Cardiac Motion Analysis

Yang Yu, Shaoting Zhang, Junzhou Huang , Dimitris Metaxas and Leon Axel

In Proc. of the 23rd Biennial International Conference on Information Processing in Medical Imaging , IPMI'13, Asilomar, CA, June 2013. · conference

2013

Papillary Muscles Analysis from High Resolution CT using Spatial-Temporal Skeleton Extraction

Lin Zhong, Shaoting Zhang, Mingchen Gao, Junzhou Huang , Zhen Qian, Dimitris Metaxas and Leon Axel

In Proc. of the IEEE International Symposium on Biomedical Imaging , ISBI'13, San Francisco, CA, USA, April 2013. · conference

2013

Explicit Occlusion Detection based Deformable Fitting for Facial Landmark Localization

Xiang Yu, Fei Yang, Junzhou Huang and Dimitris Metaxas

In Proc. of the IEEE International Conference on Automatic Face and Gesture Recognition , FG'13, Shanghai, China, April 2013. · conference

2013

Is Interactional Dissynchrony a Clue to Deception: Insights from Automated Analysis of Nonverbal Visual Cues

Xiang Yu, Shaoting Zhang, Zhennan Yan, Fei Yang, Junzhou Huang , Norah Dunbar, Matthew Jensen, Judee K. Burgoon and Dimitris N. Metaxas

In Proc. of the 46th Hawaii International Conference on System Sciences , HICSS'13, Wailea, HI, USA, January 2013. · conference

2012

Compressive Sensing MRI with Wavelet Tree Sparsity

Chen Chen, Junzhou Huang

In Proc. of the 26th Annual Conference on Neural Information Processing Systems , NIPS'12, Lake Tahoe, Nevada, USA, December 2012. · conference

2012

Fast Multi-contrast MRI Reconstruction

Junzhou Huang , Chen Chen, Leon Axel

In Proc. of the 15th Annual International Conf. on Medical Image Com puting and Computer Assisted Intervention , MICCAI’12, Nice, France, October 2012. · conference

2012

Simplified Labeling Process for Medical Image Segmentation

Mingchen Gao, Junzhou Huang , Xiaolei Huang, Shaoting Zhang, Dimitris Metaxas

In Proc. of the 15th Annual International Conf. on Medical Image Computing and Computer Assisted Intervention , MICCAI'12, Nice, France, October 2012. · conference

2012

The Benefit of Tree Sparsity in Accelerated MRI

Chen Chen, Junzhou Huang

In MICCAI Workshop on Sparsity Techniques in Medical Imaging , STMI'12, Nice, France, October 2012. (Oral Presentation) ( Best Paper Award ) · workshop

2012

Accelerated Parallel Magnetic Resonance Imaging with Joint Gradient and Wavelet Sparsity

Chen Chen, Junzhou Huang and Leon Axel

In MICCAI Workshop on Sparsity Techniques in Medical Imaging , STMI'12, Nice, France, October 2012. · workshop

2012

3D Anatomical Shape Atlas Construction using Mesh Quality Preserved Deformable Models

Xinyi Cui, Shaoting Zhang, Yiqiang Zhan, Mingchen Gao, Junzhou Huang and Dimitris Metaxas

In MICCAI Workshop on Mesh Processing in Medical Image Analysis , MeshMed'12, Nice, France, October 2012. · workshop

2012

Background Subtraction using Group Sparsity and Low Rank Constraint

Xinyi Cui, Junzhou Huang , Shaoting Zhang and Dimitris Metaxas

In Proc. of the 12th European Conference on Computer Vision , ECCV'12, Firenze, Italy, October 2012. · conference

2012

Robust Face Tracking with a Consumer Depth Camera

Fei Yang, Junzhou Huang , Xiang Yu, Dimitris Metaxas

IEEE International Conference on Image Processing , ICIP'12, Orlando, Florida, USA, September 2012. · conference

2012

Robust Eyelid Tracking for Fatigue Detection

Fei Yang, Xiang Yu, Junzhou Huang , Peng Yang, Dimitris Metaxas

IEEE International Conference on Image Processing , ICIP'12, Orlando, Florida, USA, September 2012. · conference

2012

Learning Active Facial Patches for Expression Analysis

Lin Zhong, Qingshan Liu, Peng Yang, Bo Liu, Junzhou Huang and Dimitris Metaxas

. In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition , CVPR'12, Providence, Rhode Island, USA, June 2012. · conference

2012

L eft Endocardium Segmentation using Spatio-temporal Metamorphs

Xinyi Cui, Shaoting Zhang, Junzhou Huang , Xiaolei Huang, Dimitris Metaxas, Leon Axel

. IEEE International Symposium on Biomedical Imaging , ISBI'12, Barcelona, Spain, May 2012. · conference

2012

Compressed Magnetic Resonace Imaging Based on Wavelet Sparsity and Nonlocal Total Variation

Junzhou Huang , Fei Yang

. IEEE International Symposium on Biomedical Imaging , ISBI'12, Barcelona, Spain, May 2012. [ CODE ] · conference

2012

Automatic Image Annotation and Retrieval Using Group Sparsity

Shaoting Zhang, Junzhou Huang , Hongsheng Li and Dimitris Metaxas

. IEEE Transactions on Systems, Man, and Cybernetics : Part B (TSMC), Volume 42, Issue 3, pp. 838-849, June 2012. [ CODE ] · journal

2012

Towards Robust and Effective Shape Modeling: Sparse Shape Composition

Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang , Dimitris Metaxas and Xiang Zhou

. Medical Image Analysis , Volume 16, Issue 1, pp. 265-277, January 2012. [ CODE ] · journal

2011

Learning With Structured Sparsity

Junzhou Huang , Tong Zhang and Dimitris Metaxas.

Journal of Machine Learning Research , Volume 12, pp. 3371-3412, November 2011. (Tech Report arXiv:0903.3002, March 2009). · journal

2011

Composite Splitting Algorithms for Convex Optimization

Junzhou Huang , Shaoting Zhang, Hongsheng Li, Dimitris Metaxas

Computer Vision and Image Understanding , Volume 115, Number 12, pp. 1610-1622, December 2011. [ CODE ] · journal

2011

Efficient MR Image Reconstruction for Compressed MR Imaging

Junzhou Huang , Shaoting Zhang, Dimitris Metaxas

Medical Image Analysis , Volume 15, Issue 5, pp. 670-679, October 2011. [ CODE ] · journal

2011

On Exploring Sparsity in Widely Separated MIMO Radar

Athina P. Petropulu, Yao Yu and Junzhou Huang

. In Proc. of Asilomar Conference on Signals, Systems & Computers , Asilomar'11, November 2011. · conference

2011

Optimal Object Matching via Convexification and Composition

Hongsheng Li, Junzhou Huang , Shaoting Zhang, and Xiaolei Huang

In Proc. of the 13th International Conference on Computer Vision , ICCV'11, Barcelona, Spain, November 2011. [ video 1 ] [ video 2 ] [ video 3 ] [ video 4 ] · conference

2011

A 3D Laplacian-Driven Parametric Deformable Model

Tian Shen, Xiaoleo Huang, Hongsheng Li, Edward Kim, Shaoting Zhang, and Junzhou Huang

In Proc. of the 13th International Conference on Computer Vision , ICCV'11, Barcelona, Spain, November 2011. · conference

2011

3D Segmentation of Rodent Brain Structures Using Hierarchical Shape Priors and Deformable Models

Shaoting Zhang, Junzhou Huang , Mustafa Uzunbas, Tian Shen, Foteini Delis, Xiaolei Huang, Nora Volkow, Panayotis Thanos and Dimitris N. Metaxas

In Proc. of the 14th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'11, Toronto, Canada, September 2011. · conference

2011

Deformable Segmentation via Sparse Shape Composition: Towards the Robustness to Weak Appearance Cues

Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang , Dimitris Metaxas and Xiang Zhou

In Proc. of the 14th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'11, Toronto, Canada, September 2011. (MICCAI Young Scientist Award Runners Up) · conference

2011

Robust Tracking Using Local Sparse Appearance Model and K-Selection

Baiyang Liu, Junzhou Huang , Casimir Kulikowski, Lin Yang

In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition , CVPR'11, Colorado Springs, Colorado, USA, June 2011. Oral presentation. · conference

2011

Sparse Shape Composition: A New Framework for Shape Prior Modeling

Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang , Dimitris Metaxas and Xiang Zhou

In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition , CVPR'11, Colorado Springs, Colorado, USA, June 2011. · conference

2011

4D Cardiac Reconstruction Using High Resolution CT Images

Mingchen Gao, Junzhou Huang , Shaoting Zhang, Zhen Qian, Szilard Voros, Dimitri Metaxas, Leon Axel

In Proc. of the 6th International Conference on Functional Imaging and Modeling of the Heart , FIMH'11, New York, USA, May 2011. (Oral presentation). (Best Paper Award) · conference

2011

Construction of Left Ventricle 3D Shape Atlas from Cardiac MRI

Shaoting Zhang, Mustafa Uzunbas, Zhennan Yan, Mingchen Gao, Junzhou Huang , Dimitri Metaxas, Leon Axel

In Proc. of the 6th International Conference on Functional Imaging and Modeling of the Heart , FIMH'11, New York, USA, May 2011. · conference

2011

3D Segmentation of Rodent Brain Structures Using Active Volume Model With Shape Priors

Shaoting Zhang, Junzhou Huang , Mustafa Uzunbas, Tian Shen, Foteini Delis, Xiaolei Huang, Nora Volkow, Panayotis Thanos, Dimitris Metaxas

In Proc. of IEEE Int'l Symposium on Biomedical Imaging: From Nano to Macro , ISBI’11, Chicago, Illinois, USA, March 2011. Oral presentation. · conference

2011

Group Sparsity Based Classification for Cervigram Segmentation

Yang Yu, Junzhou Huang , Shaoting Zhang, Christophe Restif, Xiaolei Huang, Dimitris Metaxas

In Proc. of IEEE Int'l Symposium on Biomedical Imaging: From Nano to Macro , ISBI’11, Chicago, Illinois, USA, March 2011. · conference

2011

Sparse Shape Registration for Occluded Facial Feature Localization

Fei Yang, Junzhou Huang , Dimitris Metaxas

In Proc. of the 9th Conference on Automatic Face and Gesture Recognition , FG'11, Santa Barbara, California, USA, March 2011. · conference

2011

Eye Localization through Multiscale Sparse Dictionaries

Fei Yang, Junzhou Huang , Peng Yang, Dimitris Metaxas

In Proc. the 9th Conference on Automatic Face and Gesture Recognition , FG' 11, Santa Barbara, California, USA, March 2011. · conference

2011

Robust Mesh Editing Using Laplacian Coordinates

Shaoting Zhang, Junzhou Huang and Dimitris Metaxas

Graphical Models, Volume 73, Issue 1, pp.10-19, January, 2011. [ CODE ] · journal

2010

Efficient MR Image Reconstruction for Compressed MR Imaging

Junzhou Huang , Shaoting Zhang and Dimitris Metaxas.

In Proc. of the 13th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'10, Beijing, China, Septerm 2010. Oral presentation. MICCAI Young Scientist Award . [ CODE ] · conference

2010

Robust and Fast Collaborative Tracking with Two Stage Sparse Optimization

Baiyang Liu, Lin Yang, Junzhou Huang , Peter Meer, Leiguang Gong, Casimir Kulikowski

In Proc. of the 11th European Conference on Computer Vision , ECCV'10, Crete, Greece, September 2010. · conference

2010

Fast Optimization for Mixture Prior Models

Junzhou Huang , Shaoting Zhang and Dimitris Metaxas.

In Proc. of the 11th European Conference on Computer Vision , ECCV'10, Crete, Greece, September 2010. [ CODE ] · conference

2010

The Benefit of Group Sparsity

Junzhou Huang and Tong Zhang.

Annals of Statistics , Volume 38, Number 4, pp.1978-2004, August 2010. · journal

2010

Integrating Shape and Texture in 3D Deformable Models: From Metamorphs to Active Volume Models

Tian Shen , Shaoting Zhang, Junzhou Huang , Xiaolei Huang and Dimitris Metaxas

book chapter, to appear in Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies , Springer , 2010. · other

2010

Automatic Image Annotation Using Group Sparsity

Shaoting Zhang, Junzhou Huang ,Yuchi Huang, Yang Yu, Hongsheng Li, Dimitris Metaxas

In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition , CVPR'10, San Francisco, USA, June 2010. Oral presentation. [ CODE ] · conference

2010

Cervigram Image Segmentation Based on Reconstructive Sparse Representations

Shaoting Zhang, Junzhou Huang , Wei Wang, Xiaolei Huang, Dimitris Metaxas

In Proc. of SPIE, Medical Imaging: Image Processing , San Diego, USA, February 2010. Oral presentation. · conference

2010

Discriminative Sparse Representations for Cervigram Image Segmentation

Shaoting Zhang, Junzhou Huang , Wei Wang, Xiaolei Huang, Dimitris Metaxas

In Proc. of IEEE International Symposium on Biomedical Imaging: From Nano to Macro , ISBI'10, Rotterdam, Netherlands, April 2010. · conference

2009

Learning with Structured Sparsity

Junzhou Huang , Tong Zhang, Dimitris Metaxas

In Proc. of the 26th International Conference on Machine Learning , ICML'09, Montreal, Quebec, Canada, June 2009. Oral presentation. · conference

2009

Learning with Dynamic Group Sparsity

Junzhou Huang , Xiaolei Huang, Dimitris Metaxas

In Proc. of the 12th International Conference on Computer Vision , ICCV'09, Kyoto, Japan, October 2009. Oral presentation. · conference

2008

Tag Separation in Cardiac Tagged MRI

Junzhou Huang , Zhen Qian , Xiaolei Huang, Dimitris Metaxas, Leon Axel

In Proc. of the 11th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'08, New York, USA, September 2008. · conference

2008

Active Volume Models with Probabilistic Object Boundary Prediction Module

Tian Shen , Yaoyao Zhu, Xiaolei Huang, Junzhou Huang , Dimitris Metaxas, Leon Axel

In Proc. of the 11th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'08, New York, USA, September 2008. · conference

2008

Simultaneous Image Transformation and Sparse Representation Recovery

Junzhou Huang , Xiaolei Huang, Dimitris Metaxas

In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition , CVPR'08, Anchorage, AL, USA, June 2008. · conference

2007

Optimization and Learning for Registration of Moving Dynamic Textures

Junzhou Huang , Xiaolei Huang, Dimitris Metaxas

In Proc. of the 11th International Conference on Computer Vision , ICCV'07, Rio de Janeiro, Brazil, October 2007. Oral presentation. · conference

2007

Adaptive Metamorphs Model for 3D Medical Image Segmentation

Junzhou Huang , Xiaolei Huang, Dimitris Metaxas, and Leon Axel

In Proc. of the 10th Annual International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI'07, pp. 302-310, Brisbane, Australia, October 2007. · conference

2007

Dynamic Texture Based Heart Location and Segmentation in 4-D Cardiac Images

Junzhou Huang , Xiaolei Huang, Dimitris Metaxas, Leon Axel

In Proc. of IEEE International Symposium on Biomedical Imaging: From Nano to Macro , ISBI'07, pp. 852-855, Washington DC, USA, April 2007. · conference

2006

3D Tumor Shape Reconstruction from 2D Bioluminescence Images and Registration with CT Images

Junzhou Huang , Xiaolei Huang, Dimitris Metaxas, Debarata Banerjee

In Proc. of the 1st Workshop on Microscopic Image Analysis with Applications in Biology , MIAAB'06, Arlington, Virginia, USA, April 2006. Oral presentation. · workshop

2006

3D Tumor Shape Reconstruction from 2D Bioluminescence Images

Junzhou Huang , Xiaolei Huang, Dimitris Metaxas, Debarata Banerjee

In Proc. of IEEE International Symposium on Biomedical Imaging: From Nano to Macro , ISBI'06, pp. 606-609, Arlington, Virginia, USA, April 2006. Oral presentation. · conference

2005

Phase Correlation Based Iris Image Registration Model

Junzhou Huang , Tieniu Tan, Li Ma, Yunhong Wang

Journal of Computer Science and Technology , Vol. 20, No. 2, pp. 419-425, March 2005 . · journal

2004

Noise Removal and Impainting Model for Iris Image

Junzhou Huang , Yunhong Wang, Jiali Cui, Tieniu Tan

In Proc. of International Conference on Image Processing , ICIP'04, pp. 869-872, October 2004. · conference

2004

A New Iris Segmentation Method for Recognition

Junzhou Huang , Yunhong Wang, Tieniu Tan, Jiali Cui

In Proc. of the 17th International Conference on Pattern Recognition , ICPR'04 (3), pp. 554-557, August 2004. · conference

2004

An Iris Image Synthesis Method Based on PCA and Super-Resolution

Jiali Cui, Yunhong Wang, Junzhou Huang , Tieniu Tan, Zenan Sun

In Proc. of the 17th International Conference on Pattern Recognition , ICPR'04 (4), pp. 471-474, August 2004. · conference

2004

Iris Recognition Based on Local Orientation Description

Junzhou Huang , Li Ma, and Yunhong Wang and Tieniu Tan

In Proc. of Asian Conference on Computer Vision , ACCV'04, pp. 954-959, Korea, January 2004. · conference

2003

Learning-based Resolution Enhancement of Iris Images

Junzhou Huang , Li Ma, Tieniu Tan and Yunhong Wang

In Proc. of the 14th British Machine Vision Conference , BMVC'03, pp. 153-162, Norwich, U.K., September 2003. · conference