Junzhou Huang - RankMe

467 papers A* 99A 16B 15C 1Misc 1Journal 220Unranked 114

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Breaking the Correlation Plateau: On the Optimization and Capacity Limits of Attention-Based Regressors. CoRR Jingquan Yan, Yuwei Miao, Peiran Yu, Junzhou Huang
2026	A*	`conf`	GenePheno: Interpretable Gene Knockout-Induced Phenotype Abnormality Prediction from Gene Sequences. AAAI Jingquan Yan, Yuwei Miao, Lei Yu, Yuzhi Guo, Xue Xiao, Lin Xu, Junzhou Huang
2026	A*	`conf`	Learning from Guidelines: Structured Prompt Optimization for Expert Annotation Tasks. AAAI Wenliang Zhong, Haiqing Li, Thao M. Dang, Feng Jiang, Hehuan Ma, Yuzhi Guo, Jean Gao, Junzhou Huang
2025	J	`jnl`	A Unified Random Walk, Its Induced Laplacians and Spectral Convolutions for Deep Hypergraph Learning. IEEE Trans. Pattern Anal. Mach. Intell. Jiying Zhang, Fuyang Li, Xi Xiao, Guanzi Chen, Tingyang Xu, Yu Rong, Junzhou Huang, Yatao Bian
2025	J	`jnl`	AI-Assisted Decision-Making for Clinical Assessment of Auto-Segmented Contour Quality. CoRR Biling Wang, Austen Maniscalco, Ti Bai, Siqiu Wang, Michael Dohopolski, Mu-Han Lin, Chenyang Shen, Dan Nguyen, Junzhou Huang, Steve B. Jiang, Xinlei Wang
2025	J	`jnl`	AdaRing: Towards Ultra-Light Vision-Language Adaptation via Cross-Layer Tensor Ring Decomposition. CoRR Ying Huang, Yuanbin Man, Wenqi Jia, Zhengzhong Tu, Junzhou Huang, Miao Yin
2025	—	`conf`	Contrastive Pretraining for Computational Pathology with Visual-Language Models. ISBI Qifeng Zhou, Thao M. Dang, Yuzhi Guo, Hehuan Ma, Wenliang Zhong, Saiyang Na, Jean Gao, Junzhou Huang
2025	J	`jnl`	DELST: Dual Entailment Learning for Hyperbolic Image-Gene Pretraining in Spatial Transcriptomics. CoRR Xulin Chen, Junzhou Huang
2025	—	`conf`	Deconvolution-Enhanced Contrastive Pretraining of Histology Images and Gene Expressions in Spatial Transcriptomics. BCB Xulin Chen, Junzhou Huang
2025	—	`conf`	Fine-Grained Interaction and Task-Driven Fusion of Histology Images and Genomics for Multimodal Cancer Survival Prediction. BCB Xulin Chen, Junzhou Huang
2025	J	`jnl`	GRAM-TDI: adaptive multimodal representation learning for drug target interaction prediction. CoRR Feng Jiang, Amina Mollaysa, Hehuan Ma, Tommaso Mansi, Junzhou Huang, Mangal Prakash, Rui Liao
2025	J	`jnl`	GenePheno: Interpretable Gene Knockout-Induced Phenotype Abnormality Prediction from Gene Sequences. CoRR Jingquan Yan, Yuwei Miao, Lei Yu, Yuzhi Guo, Xue Xiao, Lin Xu, Junzhou Huang
2025	A*	`conf`	GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction. AAAI Yuwei Miao, Yuzhi Guo, Hehuan Ma, Jingquan Yan, Feng Jiang, Rui Liao, Junzhou Huang
2025	J	`jnl`	GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction. CoRR Yuwei Miao, Yuzhi Guo, Hehuan Ma, Jingquan Yan, Feng Jiang, Rui Liao, Junzhou Huang
2025	—	`conf`	HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics. MICCAI (1) Thao M. Dang, Haiqing Li, Yuzhi Guo, Hehuan Ma, Feng Jiang, Yuwei Miao, Qifeng Zhou, Jean Gao, Junzhou Huang
2025	A*	`conf`	InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization. ICLR Yifan Niu, Ziqi Gao, Tingyang Xu, Yang Liu, Yatao Bian, Yu Rong, Junzhou Huang, Jia Li
2025	J	`jnl`	InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization. CoRR Yifan Niu, Ziqi Gao, Tingyang Xu, Yang Liu, Yatao Bian, Yu Rong, Junzhou Huang, Jia Li
2025	J	`jnl`	Learning With Noisy Labels Over Imbalanced Subpopulations. IEEE Trans. Neural Networks Learn. Syst. Mingcai Chen, Yu Zhao, Bing He, Zongbo Han, Junzhou Huang, Bingzhe Wu, Jianhua Yao
2025	J	`jnl`	Leveraging Gait Patterns as Biomarkers: An attention-guided Deep Multiple Instance Learning Network for Scoliosis Classification. CoRR Haiqing Li, Yuzhi Guo, Feng Jiang, Qifeng Zhou, Hehuan Ma, Junzhou Huang
2025	J	`jnl`	MLLM4PUE: Toward Universal Embeddings in Computational Pathology through Multimodal LLMs. CoRR Qifeng Zhou, Thao M. Dang, Wenliang Zhong, Yuzhi Guo, Hehuan Ma, Saiyang Na, Junzhou Huang
2025	J	`jnl`	Multimodal analysis of whole slide images in colorectal cancer. npj Digit. Medicine Jitendra Jonnagaddala, Miljana Shulajkovska, Anton Gradisek, Toni Rose Jue, Qifeng Zhou, Yuzhi Guo, Jamil Mahmoud El Chayeb, Ruijiang Li, Jana Lipková, Jakob Nikolas Kather, Junzhou Huang
2025	J	`jnl`	Natural Language-Assisted Multi-modal Medication Recommendation. CoRR Jie Tan, Yu Rong, Kangfei Zhao, Tian Bian, Tingyang Xu, Junzhou Huang, Hong Cheng, Helen Meng
2025	A	`conf`	NeurLZ: An Online Neural Learning-based Method to Enhance Scientific Lossy Compression. ICS 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
2025	A	`conf`	SODA: Spectral Orthogonal Decomposition Adaptation for Diffusion Models. WACV Xinxi Zhang, Song Wen, Ligong Han, Felix Juefei-Xu, Akash Srivastava, Junzhou Huang, Vladimir Pavlovic, Hao Wang, Molei Tao, Dimitris N. Metaxas
2025	A*	`conf`	Seeing from Magic Mirror: Contrastive Learning from Reconstruction for Pose-based Gait Recognition. ACM Multimedia Shibei Meng, Saihui Hou, Yang Fu, Xuecai Hu, Junzhou Huang, Yongzhen Huang
2025	J	`jnl`	Segment Any Cell: A SAM-Based Auto-Prompting Fine-Tuning Framework for Nuclei Segmentation. IEEE Trans. Neural Networks Learn. Syst. Saiyang Na, Yuzhi Guo, Feng Jiang, Hehuan Ma, Jean Gao, Junzhou Huang
2025	J	`jnl`	TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence. CoRR Feng Jiang, Mangal Prakash, Hehuan Ma, Jianyuan Deng, Yuzhi Guo, Amina Mollaysa, Tommaso Mansi, Rui Liao, Junzhou Huang
2025	J	`jnl`	Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis. CoRR Haiqing Li, Yuzhi Guo, Feng Jiang, Thao M. Dang, Hehuan Ma, Qifeng Zhou, Jean Gao, Junzhou Huang
2025	—	`conf`	Text-Guided Multi-instance Learning for Scoliosis Screening via Gait Video Analysis. MICCAI (6) Haiqing Li, Yuzhi Guo, Feng Jiang, Thao M. Dang, Hehuan Ma, Qifeng Zhou, Jean Gao, Junzhou Huang
2024	—	`conf`	AlphaEpi: Enhancing B Cell Epitope Prediction with AlphaFold 3. BCB Feng Jiang, Yuzhi Guo, Hehuan Ma, Saiyang Na, Weizhi An, Bing Song, Yi Han, Jean Gao, Tao Wang, Junzhou Huang
2024	A*	`conf`	CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models. NeurIPS 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 Y. Zou, Huaxiu Yao
2024	J	`jnl`	CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models. CoRR 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, Huaxiu Yao
2024	—	`conf`	Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks. ECCV (88) Weizhi An, Wenliang Zhong, Feng Jiang, Hehuan Ma, Junzhou Huang
2024	J	`jnl`	Compositional Image Retrieval via Instruction-Aware Contrastive Learning. CoRR Wenliang Zhong, Weizhi An, Feng Jiang, Hehuan Ma, Yuzhi Guo, Junzhou Huang
2024	J	`jnl`	DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models. CoRR Xiaoxiao He, Ligong Han, Quan Dao, Song Wen, Minhao Bai, Di Liu, Han Zhang, Martin Renqiang Min, Felix Juefei-Xu, Chaowei Tan, Bo Liu, Kang Li, Hongdong Li, Junzhou Huang, Faez Ahmed, Akash Srivastava, Dimitris N. Metaxas
2024	J	`jnl`	Distribution-Free Fair Federated Learning with Small Samples. CoRR Qichuan Yin, Junzhou Huang, Huaxiu Yao, Linjun Zhang
2024	J	`jnl`	Enhancing Multimodal Large Language Models with Multi-instance Visual Prompt Generator for Visual Representation Enrichment. CoRR Wenliang Zhong, Wenyi Wu, Qi Li, Robert A. Barton, Boxin Du, Shioulin Sam, Karim Bouyarmane, Ismail B. Tutar, Junzhou Huang
2024	J	`jnl`	Evaluation Method of the Impact of Twin Shield Tunneling Construction on Elevated Bridges: Case Study. Symmetry Junzhou Huang, Jizhixian Liu, Kai Guo, Shan Yang, Yani Lu, Ying Wang, Cai Wu
2024	J	`jnl`	GTE: a graph learning framework for prediction of T-cell receptors and epitopes binding specificity. Briefings Bioinform. Feng Jiang, Yuzhi Guo, Hehuan Ma, Saiyang Na, Wenliang Zhong, Yi Han, Tao Wang, Junzhou Huang
2024	J	`jnl`	HiCervix: An Extensive Hierarchical Dataset and Benchmark for Cervical Cytology Classification. IEEE Trans. Medical Imaging 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, Xiyue Wang
2024	A	`conf`	Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation. CIKM Tian Bian, Yifan Niu, Heng Chang, Divin Yan, Junzhou Huang, Yu Rong, Tingyang Xu, Jia Li, Hong Cheng
2024	J	`jnl`	MARS: a motif-based autoregressive model for retrosynthesis prediction. Bioinform. Jiahan Liu, Chaochao Yan, Yang Yu, Chan Lu, Junzhou Huang, Le Ou-Yang, Peilin Zhao
2024	—	`conf`	MFMF: Multiple Foundation Model Fusion Networks for Whole Slide Image Classification. BCB Thao M. Dang, Yuzhi Guo, Hehuan Ma, Qifeng Zhou, Saiyang Na, Jean Gao, Junzhou Huang
2024	A	`conf`	MIVC: Multiple Instance Visual Component for Visual-Language Models. WACV Wenyi Wu, Qi Li, Wenliang Zhong, Junzhou Huang
2024	A	`conf`	Natural Language-Assisted Multi-modal Medication Recommendation. CIKM Jie Tan, Yu Rong, Kangfei Zhao, Tian Bian, Tingyang Xu, Junzhou Huang, Hong Cheng, Helen Meng
2024	J	`jnl`	NeurLZ: On Enhancing Lossy Compression Performance based on Error-Controlled Neural Learning for Scientific Data. CoRR Wenqi Jia, Youyuan Liu, Zhewen Hu, Jinzhen Wang, Boyuan Zhang, Wei Niu, Junzhou Huang, Stavros Kalafatis, Sian Jin, Miao Yin
2024	J	`jnl`	PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning. CoRR Qifeng Zhou, Wenliang Zhong, Yuzhi Guo, Michael Xiao, Hehuan Ma, Junzhou Huang
2024	—	`conf`	PathM3: A Multimodal Multi-task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning. MICCAI (4) Qifeng Zhou, Wenliang Zhong, Yuzhi Guo, Michael Xiao, Hehuan Ma, Junzhou Huang
2024	J	`jnl`	Recognizing Predictive Substructures With Subgraph Information Bottleneck. IEEE Trans. Pattern Anal. Mach. Intell. Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He
2024	J	`jnl`	Reply to: Deeper evaluation of a single-cell foundation model. Nat. Mac. Intell. Fan Yang, Fang Wang, Longkai Huang, Linjing Liu, Junzhou Huang, Jianhua Yao
2024	J	`jnl`	Segment Any Cell: A SAM-based Auto-prompting Fine-tuning Framework for Nuclei Segmentation. CoRR Saiyang Na, Yuzhi Guo, Feng Jiang, Hehuan Ma, Junzhou Huang
2024	J	`jnl`	Solving the non-submodular network collapse problems via Decision Transformer. Neural Networks Kaili Ma, Han Yang, Shanchao Yang, Kangfei Zhao, Lanqing Li, Yongqiang Chen, Junzhou Huang, James Cheng, Yu Rong
2024	J	`jnl`	Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models. CoRR Xinxi Zhang, Song Wen, Ligong Han, Felix Juefei-Xu, Akash Srivastava, Junzhou Huang, Hao Wang, Molei Tao, Dimitris N. Metaxas
2024	J	`jnl`	Structure-Aware DropEdge Toward Deep Graph Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. Jiaqi Han, Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang
2024	J	`jnl`	Toward Robust Self-Training Paradigm for Molecular Prediction Tasks. J. Comput. Biol. Hehuan Ma, Feng Jiang, Yu Rong, Yuzhi Guo, Junzhou Huang
2024	J	`jnl`	UniEntrezDB: Large-scale Gene Ontology Annotation Dataset and Evaluation Benchmarks with Unified Entrez Gene Identifiers. CoRR Yuwei Miao, Yuzhi Guo, Hehuan Ma, Jingquan Yan, Feng Jiang, Weizhi An, Jean Gao, Junzhou Huang
2023	J	`jnl`	A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images. Medical Image Anal. Xiyue Wang, Jun Zhang, Sen Yang, Jingxi Xiang, Feng Luo, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han
2023	J	`jnl`	Adversarial Attack Framework on Graph Embedding Models With Limited Knowledge. IEEE Trans. Knowl. Data Eng. Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang
2023	—	`conf`	An Unsupervised Multispectral Image Registration Network for Skin Diseases. MICCAI (10) Songhui Diao, Wenxue Zhou, Chenchen Qin, Jun Liao, Junzhou Huang, Wenming Yang, Jianhua Yao
2023	—	`conf`	ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. ICDM (Workshops) Yucheng Shi, Hehuan Ma, Wenliang Zhong, Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang
2023	J	`jnl`	ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. CoRR Yucheng Shi, Hehuan Ma, Wenliang Zhong, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang
2023	A*	`conf`	Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (Extended Abstract). ICDE Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan
2023	A*	`conf`	Curriculum Graph Poisoning. WWW Hanwen Liu, Peilin Zhao, Tingyang Xu, Yatao Bian, Junzhou Huang, Yuesheng Zhu, Yadong Mu
2023	A*	`conf`	DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. AAAI 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, Yatao Bian
2023	A	`conf`	Enhancing Catalog Relationship Problems with Heterogeneous Graphs and Graph Neural Networks Distillation. CIKM Boxin Du, Robert A. Barton, Grant Galloway, Junzhou Huang, Shioulin Sam, Ismail B. Tutar, Changhe Yuan
2023	J	`jnl`	Finding Critical Users in Social Communities via Graph Convolutions. IEEE Trans. Knowl. Data Eng. Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang
2023	—	`conf`	IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis. MICCAI (6) Qin Ren, Yu Zhao, Bing He, Bingzhe Wu, Sijie Mai, Fan Xu, Yueshan Huang, Yonghong He, Junzhou Huang, Jianhua Yao
2023	J	`jnl`	Learning Representations by Graphical Mutual Information Estimation and Maximization. IEEE Trans. Pattern Anal. Mach. Intell. Zhen Peng, Minnan Luo, Wenbing Huang, Jundong Li, Qinghua Zheng, Fuchun Sun, Junzhou Huang
2023	J	`jnl`	MIVC: Multiple Instance Visual Component for Visual-Language Models. CoRR Wenyi Wu, Qi Li, Wenliang Zhong, Junzhou Huang
2023	J	`jnl`	Merging nucleus datasets by correlation-based cross-training. Medical Image Anal. Wenhua Zhang, Jun Zhang, Xiyue Wang, Sen Yang, Junzhou Huang, Wei Yang, Wenping Wang, Xiao Han
2023	J	`jnl`	Molecule Sequence Generation with Rebalanced Variational Autoencoder Loss. J. Comput. Biol. Chaochao Yan, Jinyu Yang, Hehuan Ma, Sheng Wang, Junzhou Huang
2023	—	`conf`	Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study. MICCAI (5) Lu Zhang, Saiyang Na, Tianming Liu, Dajiang Zhu, Junzhou Huang
2023	J	`jnl`	Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions. Trans. Mach. Learn. Res. Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Yixuan Li, Junzhou Huang
2023	J	`jnl`	NuSegDA: Domain adaptation for nuclei segmentation. Frontiers Big Data Mohammad MinHazul Haq, Hehuan Ma, Junzhou Huang
2023	—	`conf`	Pareto-aware Neural Architecture Generation for Diverse Computational Budgets. CVPR Workshops Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Junzhou Huang, Jian Chen, Mingkui Tan
2023	J	`jnl`	RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval. Medical Image Anal. Xiyue Wang, Yuexi Du, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han
2023	A*	`conf`	Retaining Beneficial Information from Detrimental Data for Neural Network Repair. NeurIPS Long-Kai Huang, Peilin Zhao, Junzhou Huang, Sinno Jialin Pan
2023	J	`jnl`	Structure-Aware DropEdge Towards Deep Graph Convolutional Networks. CoRR Jiaqi Han, Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang
2023	A	`conf`	TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation. WACV Jinyu Yang, Jingjing Liu, Ning Xu, Junzhou Huang
2022	J	`jnl`	A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, Chaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, Guangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao
2022	J	`jnl`	Blood-brain barrier penetration prediction enhanced by uncertainty estimation. J. Cheminformatics Xiaochu Tong, Dingyan Wang, Xiaoyu Ding, Xiaoqin Tan, Qun Ren, Geng Chen, Yu Rong, Tingyang Xu, Junzhou Huang, Hualiang Jiang, Mingyue Zheng, Xutong Li
2022	J	`jnl`	Boost Test-Time Performance with Closed-Loop Inference. CoRR Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Guanghui Xu, Haokun Li, Peilin Zhao, Junzhou Huang, Yaowei Wang, Mingkui Tan
2022	—	`conf`	ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images. ECCV (21) Jiawei Yang, Hanbo Chen, Yuan Liang, Junzhou Huang, Lei He, Jianhua Yao
2022	J	`jnl`	ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images. CoRR Jiawei Yang, Hanbo Chen, Yuan Liang, Junzhou Huang, Lei He, Jianhua Yao
2022	J	`jnl`	Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning. IEEE Trans. Knowl. Data Eng. Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan
2022	J	`jnl`	Cross-dependent graph neural networks for molecular property prediction. Bioinform. Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, Junzhou Huang
2022	J	`jnl`	DRFLM: Distributionally Robust Federated Learning with Inter-client Noise via Local Mixup. CoRR Bingzhe Wu, Zhipeng Liang, Yuxuan Han, Yatao Bian, Peilin Zhao, Junzhou Huang
2022	A*	`conf`	Deep Implicit Statistical Shape Models for 3D Medical Image Delineation. AAAI Ashwin Raju, Shun Miao, Dakai Jin, Le Lu, Junzhou Huang, Adam P. Harrison
2022	J	`jnl`	DeepNoise: Signal and Noise Disentanglement Based on Classifying Fluorescent Microscopy Images via Deep Learning. Genom. Proteom. Bioinform. Sen Yang, Tao Shen, Yuqi Fang, Xiyue Wang, Jun Zhang, Wei Yang, Junzhou Huang, Xiao Han
2022	J	`jnl`	Discrimination-Aware Network Pruning for Deep Model Compression. IEEE Trans. Pattern Anal. Mach. Intell. Jing Liu, Bohan Zhuang, Zhuangwei Zhuang, Yong Guo, Junzhou Huang, Jin-Hui Zhu, Mingkui Tan
2022	A*	`conf`	Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media. WWW Erxue Min, Yu Rong, Yatao Bian, Tingyang Xu, Peilin Zhao, Junzhou Huang, Sophia Ananiadou
2022	J	`jnl`	DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations. CoRR Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Long-Kai Huang, Tingyang Xu, Yu Rong, Lanqing Li, Jie Ren, Ding Xue, Houtim Lai, Shaoyong Xu, Jing Feng, Wei Liu, Ping Luo, Shuigeng Zhou, Junzhou Huang, Peilin Zhao, Yatao Bian
2022	A*	`conf`	Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning. ICLR Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause, Junzhou Huang
2022	A*	`conf`	Equivariant Graph Mechanics Networks with Constraints. ICLR Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang
2022	J	`jnl`	Equivariant Graph Mechanics Networks with Constraints. CoRR Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang
2022	A*	`conf`	Finding Critical Users in Social Communities via Graph Convolutions (Extended Abstract). ICDE Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang
2022	A*	`conf`	Frustratingly Easy Transferability Estimation. ICML Long-Kai Huang, Junzhou Huang, Yu Rong, Qiang Yang, Ying Wei
2022	A*	`conf`	GNN-Retro: Retrosynthetic Planning with Graph Neural Networks. AAAI Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang
2022	J	`jnl`	Graph Convolutional Module for Temporal Action Localization in Videos. IEEE Trans. Pattern Anal. Mach. Intell. Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan
2022	J	`jnl`	Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads. IEEE Trans. Neural Networks Learn. Syst. Lu Wang, Lei Han, Xinru Chen, Chengchang Li, Junzhou Huang, Weinan Zhang, Wei Zhang, Xiaofeng He, Dijun Luo
2022	B	`conf`	Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics. ICPR Chunyuan Li, Xinliang Zhu, Jiawen Yao, Junzhou Huang
2022	J	`jnl`	Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics. CoRR Chunyuan Li, Xinliang Zhu, Jiawen Yao, Junzhou Huang
2022	J	`jnl`	Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs. CoRR Jiying Zhang, Fuyang Li, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang, Yatao Bian
2022	J	`jnl`	Improving Generative Adversarial Networks With Local Coordinate Coding. IEEE Trans. Pattern Anal. Mach. Intell. Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan
2022	J	`jnl`	Knowledge-Based Representation Learning for Nucleus Instance Classification From Histopathological Images. IEEE Trans. Medical Imaging Wenhua Zhang, Jun Zhang, Sen Yang, Xiyue Wang, Wei Yang, Junzhou Huang, Wenping Wang, Xiao Han
2022	A*	`conf`	Local Augmentation for Graph Neural Networks. ICML Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu
2022	J	`jnl`	MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction. CoRR Jiahan Liu, Chaochao Yan, Yang Yu, Chan Lu, Junzhou Huang, Le Ou-Yang, Peilin Zhao
2022	J	`jnl`	Masked Transformer for Neighhourhood-aware Click-Through Rate Prediction. CoRR Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Peilin Zhao, Junzhou Huang, Da Luo, Kangyi Lin, Sophia Ananiadou
2022	—	`conf`	MoDNA: motif-oriented pre-training for DNA language model. BCB Weizhi An, Yuzhi Guo, Yatao Bian, Hehuan Ma, Jinyu Yang, Chunyuan Li, Junzhou Huang
2022	J	`jnl`	Multi-level attention graph neural network based on co-expression gene modules for disease diagnosis and prognosis. Bioinform. Xiaohan Xing, Fan Yang, Hang Li, Jun Zhang, Yu Zhao, Mingxuan Gao, Junzhou Huang, Jianhua Yao
2022	A*	`conf`	Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification. CVPR Zongbo Han, Fan Yang, Junzhou Huang, Changqing Zhang, Jianhua Yao
2022	A*	`conf`	Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer. SIGIR Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Da Luo, Kangyi Lin, Junzhou Huang, Sophia Ananiadou, Peilin Zhao
2022	A*	`conf`	Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification. CVPR Yonghang Guan, Jun Zhang, Kuan Tian, Sen Yang, Pei Dong, Jinxi Xiang, Wei Yang, Junzhou Huang, Yuyao Zhang, Xiao Han
2022	J	`jnl`	Pan-cancer computational histopathology reveals tumor mutational burden status through weakly-supervised deep learning. CoRR Siteng Chen, Jinxi Xiang, Xiyue Wang, Jun Zhang, Sen Yang, Junzhou Huang, Wei Yang, Junhua Zheng, Xiao Han
2022	J	`jnl`	Pareto-aware Neural Architecture Generation for Diverse Computational Budgets. CoRR Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan
2022	J	`jnl`	Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed. Proc. VLDB Endow. Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang
2022	J	`jnl`	Recent Advances in Reliable Deep Graph Learning: Adversarial Attack, Inherent Noise, and Distribution Shift. CoRR Bingzhe Wu, Jintang Li, Chengbin Hou, Guoji Fu, Yatao Bian, Liang Chen, Junzhou Huang
2022	—	`conf`	Robust self-training strategy for various molecular biology prediction tasks. BCB Hehuan Ma, Feng Jiang, Yu Rong, Yuzhi Guo, Junzhou Huang
2022	A*	`conf`	SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification. NeurIPS Xiyue Wang, Jinxi Xiang, Jun Zhang, Sen Yang, Zhongyi Yang, Ming-Hui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han
2022	—	`conf`	SETMIL: Spatial Encoding Transformer-Based Multiple Instance Learning for Pathological Image Analysis. MICCAI (2) Yu Zhao, Zhenyu Lin, Kai Sun, Yidan Zhang, Junzhou Huang, Liansheng Wang, Jianhua Yao
2022	J	`jnl`	Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI Reconstruction. CoRR Jiangpeng Yan, ChengHui Yu, Hanbo Chen, Zhe Xu, Junzhou Huang, Xiu Li, Jianhua Yao
2022	A*	`conf`	Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures. AAAI Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Junzhou Huang
2022	—	`conf`	Self-supervised Pre-training for Nuclei Segmentation. MICCAI (2) Mohammad MinHazul Haq, Junzhou Huang
2022	J	`jnl`	Similarity-aware Positive Instance Sampling for Graph Contrastive Pre-training. CoRR Xueyi Liu, Yu Rong, Tingyang Xu, Fuchun Sun, Wenbing Huang, Junzhou Huang
2022	J	`jnl`	Structure-aware conditional variational auto-encoder for constrained molecule optimization. Pattern Recognit. Junchi Yu, Tingyang Xu, Yu Rong, Junzhou Huang, Ran He
2022	J	`jnl`	Towards Accurate and Compact Architectures via Neural Architecture Transformer. IEEE Trans. Pattern Anal. Mach. Intell. Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang
2022	J	`jnl`	Transformer for Graphs: An Overview from Architecture Perspective. CoRR Erxue Min, Runfa Chen, Yatao Bian, Tingyang Xu, Kangfei Zhao, Wenbing Huang, Peilin Zhao, Junzhou Huang, Sophia Ananiadou, Yu Rong
2022	J	`jnl`	Transformer-based unsupervised contrastive learning for histopathological image classification. Medical Image Anal. Xiyue Wang, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han
2022	A*	`conf`	Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. KDD Bingzhe Wu, Yatao Bian, Hengtong Zhang, Jintang Li, Junchi Yu, Liang Chen, Chaochao Chen, Junzhou Huang
2022	A*	`conf`	Vision-Language Pre-Training with Triple Contrastive Learning. CVPR Jinyu Yang, Jiali Duan, Son Tran, Yi Xu, Sampath Chanda, Liqun Chen, Belinda Zeng, Trishul Chilimbi, Junzhou Huang
2022	J	`jnl`	Vision-Language Pre-Training with Triple Contrastive Learning. CoRR Jinyu Yang, Jiali Duan, Son Tran, Yi Xu, Sampath Chanda, Liqun Chen, Belinda Zeng, Trishul Chilimbi, Junzhou Huang
2022	J	`jnl`	scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data. Nat. Mac. Intell. Fan Yang, Wenchuan Wang, Fang Wang, Yuan Fang, Duyu Tang, Junzhou Huang, Hui Lu, Jianhua Yao
2021	J	`jnl`	Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge. CoRR Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang
2021	—	`conf`	An Interpretable Multi-Level Enhanced Graph Attention Network for Disease Diagnosis with Gene Expression Data. BIBM Xiaohan Xing, Fan Yang, Hang Li, Jun Zhang, Yu Zhao, Mingxuan Gao, Junzhou Huang, Jianhua Yao
2021	J	`jnl`	CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning. CoRR Xin Zhang, Zixuan Liu, Kaiwen Xiao, Tian Shen, Junzhou Huang, Wei Yang, Dimitris Samaras, Xiao Han
2021	J	`jnl`	Comprehensive Study on Enhancing Low-Quality Position-Specific Scoring Matrix with Deep Learning for Accurate Protein Structure Property Prediction: Using Bagging Multiple Sequence Alignment Learning. J. Comput. Biol. Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang
2021	A	`conf`	Context-Aware Domain Adaptation in Semantic Segmentation. WACV Jinyu Yang, Weizhi An, Chaochao Yan, Peilin Zhao, Junzhou Huang
2021	—	`conf`	DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image. MICCAI (8) Hang Li, Fan Yang, Yu Zhao, Xiaohan Xing, Jun Zhang, Mingxuan Gao, Junzhou Huang, Liansheng Wang, Jianhua Yao
2021	J	`jnl`	Deep Implicit Statistical Shape Models for 3D Medical Image Delineation. CoRR Ashwin Raju, Shun Miao, Chi-Tung Cheng, Le Lu, Mei Han, Jing Xiao, Chien-Hung Liao, Junzhou Huang, Adam P. Harrison
2021	A*	`conf`	Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring. AAAI Zhen Chen, Jun Zhang, Shuanlong Che, Junzhou Huang, Xiao Han, Yixuan Yuan
2021	J	`jnl`	Disturbance-immune weight sharing for neural architecture search. Neural Networks Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan
2021	J	`jnl`	Diversified Multiscale Graph Learning with Graph Self-Correction. CoRR Yuzhao Chen, Yatao Bian, Jiying Zhang, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang
2021	J	`jnl`	EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models. CoRR Jiaxiang Wu, Shitong Luo, Tao Shen, Haidong Lan, Sheng Wang, Junzhou Huang
2021	J	`jnl`	EPTool: A New Enhancing PSSM Tool for Protein Secondary Structure Prediction. J. Comput. Biol. Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang
2021	J	`jnl`	Energy-Based Learning for Cooperative Games, with Applications to Feature/Data/Model Valuations. CoRR Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause, Junzhou Huang
2021	A*	`conf`	Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation. ICCV Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang
2021	J	`jnl`	Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation. CoRR Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang
2021	J	`jnl`	FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks. CoRR Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr
2021	—	`conf`	From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded Networks. MICCAI (8) Hanbo Chen, Kang Wang, YuYao Zhu, Jiangpeng Yan, Yan Ji, Jingjing Li, Dong Xie, Junzhou Huang, Shuqun Cheng, Jianhua Yao
2021	J	`jnl`	Frustratingly Easy Transferability Estimation. CoRR Long-Kai Huang, Ying Wei, Yu Rong, Qiang Yang, Junzhou Huang
2021	A*	`conf`	Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery. NeurIPS Huaxiu Yao, Ying Wei, Long-Kai Huang, Ding Xue, Junzhou Huang, Zhenhui Li
2021	J	`jnl`	Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis. CoRR Bingzhe Wu, Zhicong Liang, Yatao Bian, Chaochao Chen, Junzhou Huang, Yuan Yao
2021	—	`conf`	Gradient-Norm Based Attentive Loss for Molecular Property Prediction. BIBM Hehuan Ma, Yu Rong, Boyang Liu, Yuzhi Guo, Chaochao Yan, Junzhou Huang
2021	J	`jnl`	Graph Convolutional Module for Temporal Action Localization in Videos. CoRR Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan
2021	A*	`conf`	Graph Information Bottleneck for Subgraph Recognition. ICLR Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He
2021	—	`conf`	Graph Ordering: Towards the Optimal by Learning. WISE (1) Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Wenbing Huang, Junzhou Huang, Hao Zhang
2021	—	`conf`	Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation. MICCAI (8) Jiangpeng Yan, Hanbo Chen, Kang Wang, Yan Ji, YuYao Zhu, Jingjing Li, Dong Xie, Zhe Xu, Junzhou Huang, Shuqun Cheng, Xiu Li, Jianhua Yao
2021	A*	`conf`	Hierarchical Graph Capsule Network. AAAI Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang
2021	A*	`conf`	Improving Generalization in Meta-learning via Task Augmentation. ICML Huaxiu Yao, Long-Kai Huang, Linjun Zhang, Ying Wei, Li Tian, James Zou, Junzhou Huang, Zhenhui Li
2021	A*	`conf`	Learning Diverse-Structured Networks for Adversarial Robustness. ICML Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama
2021	J	`jnl`	Learning Diverse-Structured Networks for Adversarial Robustness. CoRR Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama
2021	J	`jnl`	Learning Graphon Autoencoders for Generative Graph Modeling. CoRR Hongteng Xu, Peilin Zhao, Junzhou Huang, Dixin Luo
2021	J	`jnl`	Local Augmentation for Graph Neural Networks. CoRR Songtao Liu, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu
2021	A*	`conf`	Meta-learning Hyperparameter Performance Prediction with Neural Processes. ICML Ying Wei, Peilin Zhao, Junzhou Huang
2021	A*	`conf`	Minimizing Labeling Cost for Nuclei Instance Segmentation and Classification with Cross-domain Images and Weak Labels. AAAI Siqi Yang, Jun Zhang, Junzhou Huang, Brian C. Lovell, Xiao Han
2021	J	`jnl`	MolAICal: a soft tool for 3D drug design of protein targets by artificial intelligence and classical algorithm. Briefings Bioinform. Qifeng Bai, Shuoyan Tan, Tingyang Xu, Huanxiang Liu, Junzhou Huang, Xiaojun Yao
2021	J	`jnl`	Molecular graph enhanced transformer for retrosynthesis prediction. Neurocomputing Kelong Mao, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang, Peilin Zhao
2021	—	`conf`	Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical Information. MICCAI (8) Hang Li, Fan Yang, Xiaohan Xing, Yu Zhao, Jun Zhang, Yueping Liu, Mengxue Han, Junzhou Huang, Liansheng Wang, Jianhua Yao
2021	A*	`conf`	Not All Low-Pass Filters are Robust in Graph Convolutional Networks. NeurIPS Heng Chang, Yu Rong, Tingyang Xu, Yatao Bian, Shiji Zhou, Xin Wang, Junzhou Huang, Wenwu Zhu
2021	A*	`conf`	On Self-Distilling Graph Neural Network. IJCAI Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang
2021	J	`jnl`	Online Adaptive Asymmetric Active Learning With Limited Budgets. IEEE Trans. Knowl. Data Eng. Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan
2021	J	`jnl`	PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels. CoRR Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Junzhou Huang
2021	A*	`conf`	PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning. AAAI Qin Wang, Boyuan Wang, Zhenlei Xu, Jiaxiang Wu, Peilin Zhao, Zhen Li, Sheng Wang, Junzhou Huang, Shuguang Cui
2021	J	`jnl`	Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets. CoRR Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan
2021	J	`jnl`	QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search. CoRR Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang
2021	J	`jnl`	Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation. Int. J. Comput. Vis. Peng Sun, Jiaxiang Wu, Songyuan Li, Peiwen Lin, Junzhou Huang, Xi Li
2021	J	`jnl`	Recognizing Predictive Substructures with Subgraph Information Bottleneck. CoRR Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He
2021	J	`jnl`	RetroComposer: Discovering Novel Reactions by Composing Templates for Retrosynthesis Prediction. CoRR Chaochao Yan, Peilin Zhao, Chan Lu, Yang Yu, Junzhou Huang
2021	A	`conf`	Spectral Graph Attention Network with Fast Eigen-approximation. CIKM Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu
2021	—	`conf`	Strongly Supervised Mitosis Detection In Breast Histopathology Images Using Weak Labels. ISBI Zihan Wu, Rongbo Shen, Junzhou Huang, Liansheng Wang, Jianhua Yao
2021	J	`jnl`	TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation. CoRR Jinyu Yang, Jingjing Liu, Ning Xu, Junzhou Huang
2021	J	`jnl`	Towards Accurate and Compact Architectures via Neural Architecture Transformer. CoRR Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang
2021	—	`conf`	Towards Expectation-Maximization by SQL in RDBMS. DASFAA (2) Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, Ming Liao, Junzhou Huang
2021	J	`jnl`	Towards Expectation-Maximization by SQL in RDBMS. CoRR Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, Ming Liao, Junzhou Huang
2021	—	`conf`	TransPath: Transformer-Based Self-supervised Learning for Histopathological Image Classification. MICCAI (8) Xiyue Wang, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Junzhou Huang, Wei Yang, Xiao Han
2021	A	`conf`	Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding. CIKM Zhehan Liang, Yu Rong, Chenxin Li, Yunlong Zhang, Yue Huang, Tingyang Xu, Xinghao Ding, Junzhou Huang
2021	J	`jnl`	tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement. CoRR Liangzhen Zheng, Haidong Lan, Tao Shen, Jiaxiang Wu, Sheng Wang, Wei Liu, Junzhou Huang
2020	J	`jnl`	50 FPS Object-Level Saliency Detection via Maximally Stable Region. IEEE Trans. Image Process. Xiaoming Huang, Yin Zheng, Junzhou Huang, Yu-Jin Zhang
2020	J	`jnl`	A Generalized Locally Linear Factorization Machine with Supervised Variational Encoding. IEEE Trans. Knowl. Data Eng. Xiaoshuang Chen, Yin Zheng, Peilin Zhao, Zhuxi Jiang, Wenye Ma, Junzhou Huang
2020	A*	`conf`	A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models. AAAI Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang
2020	A*	`conf`	Adversarial Attack on Community Detection by Hiding Individuals. WWW Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang
2020	J	`jnl`	Adversarial Attack on Community Detection by Hiding Individuals. CoRR Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang
2020	—	`conf`	Adversarial Domain Adaptation for Cell Segmentation. MIDL Mohammad MinHazul Haq, Junzhou Huang
2020	A*	`conf`	Adversarial Sparse Transformer for Time Series Forecasting. NeurIPS Sifan Wu, Xi Xiao, Qianggang Ding, Peilin Zhao, Ying Wei, Junzhou Huang
2020	—	`conf`	Asynchronous in Parallel Detection and Tracking (AIPDT): Real-Time Robust Polyp Detection. MICCAI (3) Zijian Zhang, Hong Shang, Han Zheng, Xiaoning Wang, Jiajun Wang, Zhongqian Sun, Junzhou Huang, Jianhua Yao
2020	B	`conf`	Bagging MSA Learning: Enhancing Low-Quality PSSM with Deep Learning for Accurate Protein Structure Property Prediction. RECOMB Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang
2020	A*	`conf`	Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search. ICML Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan
2020	J	`jnl`	Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search. CoRR Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan
2020	J	`jnl`	COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19. CoRR Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying Wei, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan
2020	J	`jnl`	Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation. CoRR Ashwin Raju, Chi-Tung Cheng, Yuankai Huo, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison
2020	—	`conf`	Co-heterogeneous and Adaptive Segmentation from Multi-source and Multi-phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation. ECCV (23) Ashwin Raju, Chi-Tung Cheng, Yuankai Huo, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison
2020	J	`jnl`	Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan
2020	J	`jnl`	Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. IEEE Trans. Image Process. Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan
2020	J	`jnl`	Context-Aware Domain Adaptation in Semantic Segmentation. CoRR Jinyu Yang, Weizhi An, Chaochao Yan, Peilin Zhao, Junzhou Huang
2020	J	`jnl`	Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning. CoRR Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan
2020	A*	`conf`	Deep Graph Learning: Foundations, Advances and Applications. KDD Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma
2020	A*	`conf`	Deep Multimodal Fusion by Channel Exchanging. NeurIPS Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong, Junzhou Huang
2020	J	`jnl`	Deep Multimodal Fusion by Channel Exchanging. CoRR Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong, Junzhou Huang
2020	A*	`conf`	Dirichlet Graph Variational Autoencoder. NeurIPS Jia Li, Jianwei Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang
2020	J	`jnl`	Dirichlet Graph Variational Autoencoder. CoRR Jia Li, Tomas Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang
2020	J	`jnl`	Discrimination-aware Network Pruning for Deep Model Compression. CoRR Jing Liu, Bohan Zhuang, Zhuangwei Zhuang, Yong Guo, Junzhou Huang, Jin-Hui Zhu, Mingkui Tan
2020	J	`jnl`	Disturbance-immune Weight Sharing for Neural Architecture Search. CoRR Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan
2020	J	`jnl`	Don't Overlook the Support Set: Towards Improving Generalization in Meta-learning. CoRR Huaxiu Yao, Longkai Huang, Ying Wei, Li Tian, Junzhou Huang, Zhenhui Li
2020	A*	`conf`	DropEdge: Towards Deep Graph Convolutional Networks on Node Classification. ICLR Yu Rong, Wenbing Huang, Tingyang Xu, Junzhou Huang
2020	J	`jnl`	Dual Message Passing Neural Network for Molecular Property Prediction. CoRR Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, Junzhou Huang
2020	J	`jnl`	GROVER: Self-supervised Message Passing Transformer on Large-scale Molecular Data. CoRR Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang, Junzhou Huang
2020	—	`conf`	Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging. MICCAI (5) Ashwin Raju, Jiawen Yao, Mohammad MinHazul Haq, Jitendra Jonnagaddala, Junzhou Huang
2020	A*	`conf`	Graph Few-Shot Learning via Knowledge Transfer. AAAI Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li
2020	J	`jnl`	Graph Information Bottleneck for Subgraph Recognition. CoRR Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He
2020	J	`jnl`	Graph Ordering: Towards the Optimal by Learning. CoRR Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Junzhou Huang, Hao Zhang
2020	A*	`conf`	Graph Representation Learning via Graphical Mutual Information Maximization. WWW Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang
2020	J	`jnl`	Graph Representation Learning via Graphical Mutual Information Maximization. CoRR Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang
2020	J	`jnl`	Hierarchical Graph Capsule Network. CoRR Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang
2020	J	`jnl`	Improving Generative Adversarial Networks with Local Coordinate Coding. CoRR Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan
2020	—	`conf`	Improving Molecular Property Prediction on Limited Data with Deep Multi-Label Learning. BIBM Hehuan Ma, Chaochao Yan, Yuzhi Guo, Sheng Wang, Yuhong Wang, Hongmao Sun, Junzhou Huang
2020	J	`jnl`	Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels? CoRR Tian Bian, Xi Xiao, Tingyang Xu, Yu Rong, Wenbing Huang, Peilin Zhao, Junzhou Huang
2020	J	`jnl`	Joint Wasserstein Distribution Matching. CoRR Jiezhang Cao, Langyuan Mo, Qing Du, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan
2020	—	`conf`	Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation. ECCV (27) Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, Junzhou Huang
2020	J	`jnl`	Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation. CoRR Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, Junzhou Huang
2020	J	`jnl`	Microscope Based HER2 Scoring System. CoRR Jun Zhang, Kuan Tian, Pei Dong, Haocheng Shen, Kezhou Yan, Jianhua Yao, Junzhou Huang, Xiao Han
2020	J	`jnl`	Nonparametric Topic Modeling with Neural Inference. Neurocomputing Xuefei Ning, Yin Zheng, Zhuxi Jiang, Yu Wang, Huazhong Yang, Junzhou Huang, Peilin Zhao
2020	J	`jnl`	On Self-Distilling Graph Neural Network. CoRR Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang
2020	A*	`conf`	Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection. AAAI Zeping Yu, Rui Cao, Qiyi Tang, Sen Nie, Junzhou Huang, Shi Wu
2020	—	`conf`	Protein Ensemble Learning with Atrous Spatial Pyramid Networks for Secondary Structure Prediction. BIBM Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang
2020	—	`conf`	Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation. BCB Chaochao Yan, Sheng Wang, Jinyu Yang, Tingyang Xu, Junzhou Huang
2020	J	`jnl`	Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation. CoRR Peng Sun, Jiaxiang Wu, Songyuan Li, Peiwen Lin, Junzhou Huang, Xi Li
2020	A*	`conf`	RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist. NeurIPS Chaochao Yan, Qianggang Ding, Peilin Zhao, Shuangjia Zheng, Jinyu Yang, Yang Yu, Junzhou Huang
2020	J	`jnl`	RetroXpert: Decompose Retrosynthesis Prediction like a Chemist. CoRR Chaochao Yan, Qianggang Ding, Peilin Zhao, Shuangjia Zheng, Jinyu Yang, Yang Yu, Junzhou Huang
2020	A*	`conf`	Revisiting Parameter Sharing for Automatic Neural Channel Number Search. NeurIPS Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Xupeng Shi, Junzhou Huang, Irwin King, Michael R. Lyu, Jian Cheng
2020	A*	`conf`	Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. AAAI Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang
2020	J	`jnl`	Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. CoRR Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang
2020	A*	`conf`	Self-Supervised Graph Transformer on Large-Scale Molecular Data. NeurIPS Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang, Junzhou Huang
2020	J	`jnl`	Spectral Graph Attention Network. CoRR Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu
2020	—	`conf`	Supervised Augmentation: Leverage Strong Annotation for Limited Data. ISBI Han Zheng, Hong Shang, Zhongqian Sun, Xinghui Fu, Jianhua Yao, Junzhou Huang
2020	J	`jnl`	Tackling Over-Smoothing for General Graph Convolutional Networks. CoRR Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang
2020	A*	`conf`	Towards Fast Adaptation of Neural Architectures with Meta Learning. ICLR Dongze Lian, Yin Zheng, Yintao Xu, Yanxiong Lu, Leyu Lin, Peilin Zhao, Junzhou Huang, Shenghua Gao
2020	A*	`conf`	TranSlider: Transfer Ensemble Learning from Exploitation to Exploration. KDD Kuo Zhong, Ying Wei, Chun Yuan, Haoli Bai, Junzhou Huang
2020	A*	`conf`	Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses. AAAI Xiaoming Shi, Haifeng Hu, Wanxiang Che, Zhongqian Sun, Ting Liu, Junzhou Huang
2020	—	`conf`	User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation. MICCAI (1) Ashwin Raju, Zhanghexuan Ji, Chi-Tung Cheng, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison
2020	J	`jnl`	User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation. CoRR Ashwin Raju, Zhanghexuan Ji, Chi-Tung Cheng, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison
2020	—	`conf`	WeightAln: Weighted Homologous Alignment for Protein Structure Property Prediction. BIBM Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Jinyu Yang, Xinliang Zhu, Junzhou Huang
2020	J	`jnl`	Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks. CoRR Jiawen Yao, Xinliang Zhu, Jitendra Jonnagaddala, Nicholas J. Hawkins, Junzhou Huang
2020	J	`jnl`	Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks. Medical Image Anal. Jiawen Yao, Xinliang Zhu, Jitendra Jonnagaddala, Nicholas J. Hawkins, Junzhou Huang
2019	J	`jnl`	Adaptive Cost-Sensitive Online Classification. IEEE Trans. Knowl. Data Eng. Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan, Junzhou Huang
2019	J	`jnl`	Adversarial Representation Learning on Large-Scale Bipartite Graphs. CoRR Chaoyang He, Tian Xie, Yu Rong, Wen-bing Huang, Junzhou Huang, Xiang Ren, Cyrus Shahabi
2019	A*	`conf`	An Efficient Approach to Informative Feature Extraction from Multimodal Data. AAAI Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang
2019	A*	`conf`	Collaborative Channel Pruning for Deep Networks. ICML Hanyu Peng, Jiaxiang Wu, Shifeng Chen, Junzhou Huang
2019	J	`jnl`	Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR Yifan Zhang, Ying Wei, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Mingkui Tan, Junzhou Huang
2019	A	`conf`	Complexities in Projection-Free Stochastic Non-convex Minimization. AISTATS Zebang Shen, Cong Fang, Peilin Zhao, Junzhou Huang, Hui Qian
2019	A*	`conf`	Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation. AAAI Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong
2019	A*	`conf`	DTWNet: a Dynamic Time Warping Network. NeurIPS Xingyu Cai, Tingyang Xu, Jinfeng Yi, Junzhou Huang, Sanguthevar Rajasekaran
2019	—	`conf`	Deep Multi-instance Learning for Survival Prediction from Whole Slide Images. MICCAI (1) Jiawen Yao, Xinliang Zhu, Junzhou Huang
2019	A	`conf`	Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning. AISTATS Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Junzhou Huang, Dimitris N. Metaxas
2019	A	`conf`	Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks. AISTATS Yue Yu, Jiaxiang Wu, Junzhou Huang
2019	A*	`conf`	Facial Image-to-Video Translation by a Hidden Affine Transformation. ACM Multimedia Guangyao Shen, Wenbing Huang, Chuang Gan, Mingkui Tan, Junzhou Huang, Wenwu Zhu, Boqing Gong
2019	—	`conf`	From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification. MICCAI (1) Yifan Zhang, Hanbo Chen, Ying Wei, Peilin Zhao, Jiezhang Cao, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Jinlong Hou, Xiao Han, Jianhua Yao, Qingyao Wu, Mingkui Tan, Junzhou Huang
2019	—	`conf`	Graph Convolutional Nets for Tool Presence Detection in Surgical Videos. IPMI Sheng Wang, Zheng Xu, Chaochao Yan, Junzhou Huang
2019	A*	`conf`	Graph Convolutional Networks for Temporal Action Localization. ICCV Runhao Zeng, Wenbing Huang, Chuang Gan, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang
2019	J	`jnl`	Graph Convolutional Networks for Temporal Action Localization. CoRR Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan
2019	J	`jnl`	Graph Few-shot Learning via Knowledge Transfer. CoRR Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li
2019	A*	`conf`	Hierarchically Structured Meta-learning. ICML Huaxiu Yao, Ying Wei, Junzhou Huang, Zhenhui Li
2019	J	`jnl`	Hierarchically Structured Meta-learning. CoRR Huaxiu Yao, Ying Wei, Junzhou Huang, Zhenhui Li
2019	A*	`conf`	Hyperparameter Learning via Distributional Transfer. NeurIPS Ho Chung Leon Law, Peilin Zhao, Leung Sing Chan, Junzhou Huang, Dino Sejdinovic
2019	A*	`conf`	Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement. NeurIPS Chao Yang, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Huaping Liu, Junzhou Huang, Chuang Gan
2019	J	`jnl`	Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement. CoRR Chao Yang, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Huaping Liu, Junzhou Huang, Chuang Gan
2019	—	`conf`	Integrating 3D Geometry of Organ for Improving Medical Image Segmentation. MICCAI (5) Jiawen Yao, Jinzheng Cai, Dong Yang, Daguang Xu, Junzhou Huang
2019	—	`conf`	Leveraging Other Datasets for Medical Imaging Classification: Evaluation of Transfer, Multi-task and Semi-supervised Learning. MICCAI (5) Hong Shang, Zhongqian Sun, Wei Yang, Xinghui Fu, Han Zheng, Jia Chang, Junzhou Huang
2019	A*	`conf`	NAT: Neural Architecture Transformer for Accurate and Compact Architectures. NeurIPS Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang
2019	J	`jnl`	NAT: Neural Architecture Transformer for Accurate and Compact Architectures. CoRR Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang
2019	J	`jnl`	Online Adaptive Asymmetric Active Learning with Limited Budgets. CoRR Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan
2019	—	`conf`	Polyp Tracking in Video Colonoscopy Using Optical Flow With an On-The-Fly Trained CNN. ISBI He Zheng, Hanbo Chen, Junzhou Huang, XuZhi Li, Xiao Han, Jianhua Yao
2019	A*	`conf`	Progressive Feature Alignment for Unsupervised Domain Adaptation. CVPR Chaoqi Chen, Weiping Xie, Wenbing Huang, Yu Rong, Xinghao Ding, Yue Huang, Tingyang Xu, Junzhou Huang
2019	A*	`conf`	RaFM: Rank-Aware Factorization Machines. ICML Xiaoshuang Chen, Yin Zheng, Jiaxing Wang, Wenye Ma, Junzhou Huang
2019	J	`jnl`	RaFM: Rank-Aware Factorization Machines. CoRR Xiaoshuang Chen, Yin Zheng, Jiaxing Wang, Wenye Ma, Junzhou Huang
2019	J	`jnl`	Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation. CoRR Chaochao Yan, Sheng Wang, Jinyu Yang, Tingyang Xu, Junzhou Huang
2019	—	`conf`	Rectified Cross-Entropy and Upper Transition Loss for Weakly Supervised Whole Slide Image Classifier. MICCAI (1) Hanbo Chen, Xiao Han, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Junzhou Huang, Jianhua Yao
2019	—	`conf`	SMILES-BERT: Large Scale Unsupervised Pre-Training for Molecular Property Prediction. BCB Sheng Wang, Yuzhi Guo, Yuhong Wang, Hongmao Sun, Junzhou Huang
2019	A*	`conf`	Semi-Supervised Graph Classification: A Hierarchical Graph Perspective. WWW Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang
2019	J	`jnl`	Semi-Supervised Graph Classification: A Hierarchical Graph Perspective. CoRR Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang
2019	J	`jnl`	Semi-supervised Learning with Contrastive Predicative Coding. CoRR Jiaxing Wang, Yin Zheng, Xiaoshuang Chen, Junzhou Huang, Jian Cheng
2019	J	`jnl`	Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning. CoRR Baoyuan Wu, Weidong Chen, Yanbo Fan, Yong Zhang, Jinlong Hou, Jie Liu, Junzhou Huang, Wei Liu, Tong Zhang
2019	J	`jnl`	The General Black-box Attack Method for Graph Neural Networks. CoRR Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang
2019	J	`jnl`	The Truly Deep Graph Convolutional Networks for Node Classification. CoRR Yu Rong, Wenbing Huang, Tingyang Xu, Junzhou Huang
2019	J	`jnl`	Transferable Neural Processes for Hyperparameter Optimization. CoRR Ying Wei, Peilin Zhao, Huaxiu Yao, Junzhou Huang
2019	J	`jnl`	Unsupervised Adversarial Graph Alignment with Graph Embedding. CoRR Chaoqi Chen, Weiping Xie, Tingyang Xu, Yu Rong, Wen-bing Huang, Xinghao Ding, Yue Huang, Junzhou Huang
2019	J	`jnl`	Weakly supervised mitosis detection in breast histopathology images using concentric loss. Medical Image Anal. Chao Li, Xinggang Wang, Wenyu Liu, Longin Jan Latecki, Bo Wang, Junzhou Huang
2018	J	`jnl`	A Minimum Barrier Distance Based Saliency Box for Object Proposals Generation. IEEE Signal Process. Lett. Xiaoming Huang, Yin Zheng, Junzhou Huang, Yu-Jin Zhang
2018	J	`jnl`	A simple primal-dual algorithm for nuclear norm and total variation regularization. Neurocomputing Zhibin Zhu, Jiawen Yao, Zheng Xu, Junzhou Huang, Benxin Zhang
2018	J	`jnl`	Adaptive Cost-sensitive Online Classification. CoRR Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan, Junzhou Huang
2018	A*	`conf`	Adaptive Graph Convolutional Neural Networks. AAAI Ruoyu Li, Sheng Wang, Feiyun Zhu, Junzhou Huang
2018	J	`jnl`	Adaptive Graph Convolutional Neural Networks. CoRR Ruoyu Li, Sheng Wang, Feiyun Zhu, Junzhou Huang
2018	A*	`conf`	Adaptive Sampling Towards Fast Graph Representation Learning. NeurIPS Wen-bing Huang, Tong Zhang, Yu Rong, Junzhou Huang
2018	J	`jnl`	Adaptive Sampling Towards Fast Graph Representation Learning. CoRR Wen-bing Huang, Tong Zhang, Yu Rong, Junzhou Huang
2018	A*	`conf`	Adversarial Learning with Local Coordinate Coding. ICML Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan
2018	J	`jnl`	Adversarial Learning with Local Coordinate Coding. CoRR Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan
2018	J	`jnl`	An Efficient Approach to Informative Feature Extraction from Multimodal Data. CoRR Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang
2018	J	`jnl`	An efficient algorithm for dynamic MRI using low-rank and total variation regularizations. Medical Image Anal. Jiawen Yao, Zheng Xu, Xiaolei Huang, Junzhou Huang
2018	—	`conf`	Cohesion-driven Online Actor-Critic Reinforcement Learning for mHealth Intervention. BCB Feiyun Zhu, Peng Liao, Xinliang Zhu, Jiawen Yao, Junzhou Huang
2018	J	`jnl`	Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation. CoRR Lijie Fan, Wen-bing Huang, Chuang Gan, Junzhou Huang, Boqing Gong
2018	C	`conf`	Deep Multi-instance Learning with Dynamic Pooling. ACML Yongluan Yan, Xinggang Wang, Xiaojie Guo, Jiemin Fang, Wenyu Liu, Junzhou Huang
2018	A*	`conf`	Discrimination-aware Channel Pruning for Deep Neural Networks. NeurIPS Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jin-Hui Zhu
2018	J	`jnl`	Discrimination-aware Channel Pruning for Deep Neural Networks. CoRR Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jin-Hui Zhu
2018	J	`jnl`	Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss. CoRR Yong Guo, Qi Chen, Jian Chen, Junzhou Huang, Yanwu Xu, Jiezhang Cao, Peilin Zhao, Mingkui Tan
2018	A*	`conf`	End-to-End Learning of Motion Representation for Video Understanding. CVPR Lijie Fan, Wen-bing Huang, Chuang Gan, Stefano Ermon, Boqing Gong, Junzhou Huang
2018	J	`jnl`	End-to-End Learning of Motion Representation for Video Understanding. CoRR Lijie Fan, Wen-bing Huang, Chuang Gan, Stefano Ermon, Boqing Gong, Junzhou Huang
2018	A*	`conf`	Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization. ICML Jiaxiang Wu, Weidong Huang, Junzhou Huang, Tong Zhang
2018	J	`jnl`	Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization. CoRR Jiaxiang Wu, Weidong Huang, Junzhou Huang, Tong Zhang
2018	—	`conf`	Exploiting Ranking Consistency Principle in Representation Learning for Location Promotion. DASFAA (2) Siyuan Zhang, Yu Rong, Yu Zheng, Hong Cheng, Junzhou Huang
2018	J	`jnl`	Fast iteratively reweighted least squares algorithms for analysis-based sparse reconstruction. Medical Image Anal. Chen Chen, Lei He, Hongsheng Li, Junzhou Huang
2018	—	`conf`	Graph CNN for Survival Analysis on Whole Slide Pathological Images. MICCAI (2) Ruoyu Li, Jiawen Yao, Xinliang Zhu, Yeqing Li, Junzhou Huang
2018	—	`conf`	Group-Driven Reinforcement Learning for Personalized mHealth Intervention. MICCAI (1) Feiyun Zhu, Jun Guo, Zheng Xu, Peng Liao, Liu Yang, Junzhou Huang
2018	J	`jnl`	Hierarchical Sparse Representation for Robust Image Registration. IEEE Trans. Pattern Anal. Mach. Intell. Yeqing Li, Chen Chen, Fei Yang, Junzhou Huang
2018	J	`jnl`	Hyperparameter Learning via Distributional Transfer. CoRR Ho Chung Leon Law, Peilin Zhao, Junzhou Huang, Dino Sejdinovic
2018	J	`jnl`	Nonparametric Topic Modeling with Neural Inference. CoRR Xuefei Ning, Yin Zheng, Zhuxi Jiang, Yu Wang, Huazhong Yang, Junzhou Huang
2018	J	`jnl`	On the Acceleration of L-BFGS with Second-Order Information and Stochastic Batches. CoRR Jie Liu, Yu Rong, Martin Takác, Junzhou Huang
2018	A*	`conf`	Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data. KDD Yifan Zhang, Peilin Zhao, Jiezhang Cao, Wenye Ma, Junzhou Huang, Qingyao Wu, Mingkui Tan
2018	A*	`conf`	Online Compact Convexified Factorization Machine. WWW Xiao Lin, Wenpeng Zhang, Min Zhang, Wenwu Zhu, Jian Pei, Peilin Zhao, Junzhou Huang
2018	J	`jnl`	PRIM: An Efficient Preconditioning Iterative Reweighted Least Squares Method for Parallel Brain MRI Reconstruction. Neuroinformatics Zheng Xu, Sheng Wang, Yeqing Li, Feiyun Zhu, Junzhou Huang
2018	J	`jnl`	Progressive Feature Alignment for Unsupervised Domain Adaptation. CoRR Chaoqi Chen, Weiping Xie, Tingyang Xu, Wen-bing Huang, Yu Rong, Xinghao Ding, Yue Huang, Junzhou Huang
2018	—	`conf`	Robust Actor-Critic Contextual Bandit for Mobile Health (mHealth) Interventions. BCB Feiyun Zhu, Jun Guo, Ruoyu Li, Junzhou Huang
2018	J	`jnl`	Robust Actor-Critic Contextual Bandit for Mobile Health (mHealth) Interventions. CoRR Feiyun Zhu, Jun Guo, Ruoyu Li, Junzhou Huang
2018	—	`conf`	Robust Contextual Bandit via the Capped- ℓ _2 ℓ 2 Norm for Mobile Health Intervention. MLMI@MICCAI Feiyun Zhu, Xinliang Zhu, Sheng Wang, Jiawen Yao, Zhichun Xiao, Junzhou Huang
2018	—	`conf`	Seq3seq Fingerprint: Towards End-to-end Semi-supervised Deep Drug Discovery. BCB Xiaoyu Zhang, Sheng Wang, Feiyun Zhu, Zheng Xu, Yuhong Wang, Junzhou Huang
2018	Misc	`conf`	Session introduction. PSB Heng Huang, Li Shen, Paul M. Thompson, Kun Huang, Junzhou Huang, Lin Yang
2018	J	`jnl`	Sub-Selective Quantization for Learning Binary Codes in Large-Scale Image Search. IEEE Trans. Pattern Anal. Mach. Intell. Yeqing Li, Wei Liu, Junzhou Huang
2018	A*	`conf`	Transfer Learning via Learning to Transfer. ICML Ying Wei, Yu Zhang, Junzhou Huang, Qiang Yang
2018	—	`conf`	Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays. BCB Chaochao Yan, Jiawen Yao, Ruoyu Li, Zheng Xu, Junzhou Huang
2018	J	`jnl`	Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays. CoRR Chaochao Yan, Jiawen Yao, Ruoyu Li, Zheng Xu, Junzhou Huang
2018	A*	`conf`	Weakly Supervised Dense Event Captioning in Videos. NeurIPS Xuguang Duan, Wen-bing Huang, Chuang Gan, Jingdong Wang, Wenwu Zhu, Junzhou Huang
2018	J	`jnl`	Weakly Supervised Dense Event Captioning in Videos. CoRR Xuguang Duan, Wen-bing Huang, Chuang Gan, Jingdong Wang, Wenwu Zhu, Junzhou Huang
2018	—	`conf`	Weakly Supervised Region Proposal Network and Object Detection. ECCV (11) Peng Tang, Xinggang Wang, Angtian Wang, Yongluan Yan, Wenyu Liu, Junzhou Huang, Alan L. Yuille
2017	A*	`conf`	A General Efficient Hyperparameter-Free Algorithm for Convolutional Sparse Learning. AAAI Zheng Xu, Junzhou Huang
2017	A*	`conf`	Adaptive Proximal Average Approximation for Composite Convex Minimization. AAAI Li Shen, Wei Liu, Junzhou Huang, Yu-Gang Jiang, Shiqian Ma
2017	—	`ch.`	Cell Detection with Deep Learning Accelerated by Sparse Kernel. Deep Learning and Convolutional Neural Networks for Medical Image Computing Junzhou Huang, Zheng Xu
2017	J	`jnl`	Cohesion-based Online Actor-Critic Reinforcement Learning for mHealth Intervention. CoRR Feiyun Zhu, Peng Liao, Xinliang Zhu, Yaowen Yao, Junzhou Huang
2017	—	`conf`	Deep Correlational Learning for Survival Prediction from Multi-modality Data. MICCAI (2) Jiawen Yao, Xinliang Zhu, Feiyun Zhu, Junzhou Huang
2017	—	`conf`	Deep learning based multi-label classification for surgical tool presence detection in laparoscopic videos. ISBI Sheng Wang, Ashwin Raju, Junzhou Huang
2017	—	`conf`	Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding. NIPS Wen-bing Huang, Mehrtash Harandi, Tong Zhang, Lijie Fan, Fuchun Sun, Junzhou Huang
2017	J	`jnl`	Group-driven Reinforcement Learning for Personalized mHealth Intervention. CoRR Feiyun Zhu, Jun Guo, Zheng Xu, Peng Liao, Junzhou Huang
2017	J	`jnl`	Guest Editorial: Special issue on advances in computing techniques for big medical image data. Neurocomputing Yuanjie Zheng, Shaoting Zhang, Junzhou Huang, Weidong Cai
2017	J	`jnl`	Learning Graph While Training: An Evolving Graph Convolutional Neural Network. CoRR Ruoyu Li, Junzhou Huang
2017	J	`jnl`	Robust Contextual Bandit via the Capped-$\ell_{2}$ norm. CoRR Feiyun Zhu, Xinliang Zhu, Sheng Wang, Jiawen Yao, Junzhou Huang
2017	—	`conf`	Seq2seq Fingerprint: An Unsupervised Deep Molecular Embedding for Drug Discovery. BCB Zheng Xu, Sheng Wang, Feiyun Zhu, Junzhou Huang
2017	J	`jnl`	TENDER: Tensor non-local deconvolution enabled radiation reduction in CT perfusion. Neurocomputing Ruogu Fang, Ajay Gupta, Junzhou Huang, Pina C. Sanelli
2017	A*	`conf`	WSISA: Making Survival Prediction from Whole Slide Histopathological Images. CVPR Xinliang Zhu, Jiawen Yao, Feiyun Zhu, Junzhou Huang
2016	B	`conf`	Accelerated sparse optimization for missing data completion. ICPR Zheng Xu, Yeqing Li, Junzhou Huang
2016	—	`conf`	Deep convolutional neural network for survival analysis with pathological images. BIBM Xinliang Zhu, Jiawen Yao, Junzhou Huang
2016	—	`conf`	Detecting 10, 000 Cells in One Second. MICCAI (2) Zheng Xu, Junzhou Huang
2016	J	`jnl`	Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model. IEEE Trans. Pattern Anal. Mach. Intell. Xiang Yu, Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas
2016	—	`conf`	Imaging Biomarker Discovery for Lung Cancer Survival Prediction. MICCAI (2) Jiawen Yao, Sheng Wang, Xinliang Zhu, Junzhou Huang
2016	—	`conf`	Imaging-genetic data mapping for clinical outcome prediction via supervised conditional Gaussian graphical model. BIBM Xinliang Zhu, Jiawen Yao, Guanghua Xiao, Yang Xie, Jaime Rodriguez-Canales, Edwin R. Parra, Carmen Behrens, Ignacio I. Wistuba, Junzhou Huang
2016	—	`conf`	Lung cancer survival prediction from pathological images and genetic data - An integration study. ISBI Xinliang Zhu, Jiawen Yao, Xin Luo, Guanghua Xiao, Yang Xie, Adi F. Gazdar, Junzhou Huang
2016	—	`conf`	RSPIRIT: Robust self-consistent parallel imaging reconstruction based on generalized Lasso. ISBI Zhongxing Peng, Zheng Xu, Junzhou Huang
2016	A*	`conf`	Scalable Sequential Spectral Clustering. AAAI Yeqing Li, Junzhou Huang, Wei Liu
2016	J	`jnl`	Scalable histopathological image analysis via supervised hashing with multiple features. Medical Image Anal. Menglin Jiang, Shaoting Zhang, Junzhou Huang, Lin Yang, Dimitris N. Metaxas
2016	A	`conf`	Semi-Supervised Group Sparse Representation: Model, Algorithm and Applications. ECAI Longwen Gao, Yeqing Li, Junzhou Huang, Shuigeng Zhou
2016	—	`conf`	Sequential Face Alignment via Person-Specific Modeling in the Wild. CVPR Workshops Xi Peng, Junzhou Huang, Dimitris N. Metaxas
2016	—	`conf`	Subtype Cell Detection with an Accelerated Deep Convolution Neural Network. MICCAI (2) Sheng Wang, Jiawen Yao, Zheng Xu, Junzhou Huang
2016	A	`conf`	Track Facial Points in Unconstrained Videos. BMVC Xi Peng, Qiong Hu, Junzhou Huang, Dimitris N. Metaxas
2016	J	`jnl`	Track Facial Points in Unconstrained Videos. CoRR Xi Peng, Qiong Hu, Junzhou Huang, Dimitris N. Metaxas
2015	—	`conf`	A spatio-temporal low-rank total variation approach for denoising arterial spin labeling MRI data. ISBI Ruogu Fang, Junzhou Huang, Wen-Ming Luh
2015	—	`conf`	Accelerated Dynamic MRI Reconstruction with Total Variation and Nuclear Norm Regularization. MICCAI (2) Jiawen Yao, Zheng Xu, Xiaolei Huang, Junzhou Huang
2015	—	`conf`	An Effective Approach for Robust Lung Cancer Cell Detection. Patch-MI@MICCAI Hao Pan, Zheng Xu, Junzhou Huang
2015	J	`jnl`	Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT. Comput. Medical Imaging Graph. Jinghao Zhou, Zhennan Yan, Giovanni Lasio, Junzhou Huang, Baoshe Zhang, Navesh Sharma, Karl Prado, Warren D. D'Souza
2015	—	`conf`	Computer-Assisted Diagnosis of Lung Cancer Using Quantitative Topology Features. MLMI Jiawen Yao, Dheeraj Ganti, Xin Luo, Guanghua Xiao, Yang Xie, Shirley Yan, Junzhou Huang
2015	A*	`conf`	Deep sparse representation for robust image registration. CVPR Yeqing Li, Chen Chen, Fei Yang, Junzhou Huang
2015	—	`conf`	Efficient 4D Non-local Tensor Total-Variation for Low-Dose CT Perfusion Deconvolution. MCV@MICCAI Ruogu Fang, Ming Ni, Junzhou Huang, Qianmu Li, Tao Li
2015	—	`conf`	Efficient Lung Cancer Cell Detection with Deep Convolution Neural Network. Patch-MI@MICCAI Zheng Xu, Junzhou Huang
2015	—	`conf`	Efficient Preconditioning in Joint Total Variation Regularized Parallel MRI Reconstruction. MICCAI (2) Zheng Xu, Yeqing Li, Leon Axel, Junzhou Huang
2015	—	`conf`	Fast Preconditioning for Accelerated Multi-contrast MRI Reconstruction. MICCAI (2) Ruoyu Li, Yeqing Li, Ruogu Fang, Shaoting Zhang, Hao Pan, Junzhou Huang
2015	—	`conf`	Fast Regions-of-Interest Detection in Whole Slide Histopathology Images. Patch-MI@MICCAI Ruoyu Li, Junzhou Huang
2015	J	`jnl`	From circle to 3-sphere: Head pose estimation by instance parameterization. Comput. Vis. Image Underst. Xi Peng, Junzhou Huang, Qiong Hu, Shaoting Zhang, Ahmed M. Elgammal, Dimitris N. Metaxas
2015	J	`jnl`	Is Interactional Dissynchrony a Clue to Deception? Insights From Automated Analysis of Nonverbal Visual Cues. IEEE Trans. Cybern. Xiang Yu, Shaoting Zhang, Zhennan Yan, Fei Yang, Junzhou Huang, Norah E. Dunbar, Matthew L. Jensen, Judee K. Burgoon, Dimitris N. Metaxas
2015	—	`conf`	Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis. MICCAI (3) Menglin Jiang, Shaoting Zhang, Junzhou Huang, Lin Yang, Dimitris N. Metaxas
2015	A*	`conf`	Large-Scale Multi-View Spectral Clustering via Bipartite Graph. AAAI Yeqing Li, Feiping Nie, Heng Huang, Junzhou Huang
2015	J	`jnl`	Learning Multiscale Active Facial Patches for Expression Analysis. IEEE Trans. Cybern. Lin Zhong, Qingshan Liu, Peng Yang, Junzhou Huang, Dimitris N. Metaxas
2015	A*	`conf`	Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information. IJCAI Cheng Deng, Zongting Lv, Wei Liu, Junzhou Huang, Dacheng Tao, Xinbo Gao
2015	—	`conf`	Multi-frequency diffuse optical tomography for cancer detection. ISBI Chen Chen, Venkaiah C. Kavuri, Xinlong Wang, Ruoyu Li, Hanli Liu, Junzhou Huang
2015	—	`conf`	Robust image registration in the gradient domain. ISBI Yeqing Li, Chen Chen, Jinghao Zhou, Junzhou Huang
2015	J	`jnl`	SIRF: Simultaneous Satellite Image Registration and Fusion in a Unified Framework. IEEE Trans. Image Process. Chen Chen, Yeqing Li, Wei Liu, Junzhou Huang
2015	B	`conf`	Three-dimensional head pose estimation in-the-wild. FG Xi Peng, Junzhou Huang, Qiong Hu, Shaoting Zhang, Dimitris N. Metaxas
2015	J	`jnl`	Tissue-specific sparse deconvolution for brain CT perfusion. Comput. Medical Imaging Graph. Ruogu Fang, Haodi Jiang, Junzhou Huang
2014	—	`conf`	2D diffuse optical imaging using clustered sparsity. ISBI Chen Chen, Fenghua Tian, Jixing Yao, Hanli Liu, Junzhou Huang
2014	J	`jnl`	Diffuse Optical Tomography Enhanced by Clustered Sparsity for Functional Brain Imaging. IEEE Trans. Medical Imaging Chen Chen, Fenghua Tian, Hanli Liu, Junzhou Huang
2014	—	`conf`	Exploiting both intra-quadtree and inter-spatial structures for multi-contrast MRI. ISBI Chen Chen, Junzhou Huang
2014	J	`jnl`	Fast Iteratively Reweighted Least Squares Algorithms for Analysis-Based Sparsity Reconstruction. CoRR Chen Chen, Junzhou Huang, Lei He, Hongsheng Li
2014	J	`jnl`	Feature Matching with Affine-Function Transformation Models. IEEE Trans. Pattern Anal. Mach. Intell. Hongsheng Li, Xiaolei Huang, Junzhou Huang, Shaoting Zhang
2014	J	`jnl`	Forest Sparsity for Multi-Channel Compressive Sensing. IEEE Trans. Signal Process. Chen Chen, Yeqing Li, Junzhou Huang
2014	B	`conf`	Head Pose Estimation by Instance Parameterization. ICPR Xi Peng, Junzhou Huang, Qiong Hu, Shaoting Zhang, Dimitris N. Metaxas
2014	A*	`conf`	Image Fusion with Local Spectral Consistency and Dynamic Gradient Sparsity. CVPR Chen Chen, Yeqing Li, Wei Liu, Junzhou Huang
2014	—	`conf`	Instrument Tracking via Online Learning in Retinal Microsurgery. MICCAI (1) Yeqing Li, Chen Chen, Xiaolei Huang, Junzhou Huang
2014	B	`conf`	Multimodal sparse representation classification with Fisher discriminative sample reduction. ICIP Soheil Shafiee, Farhad Kamangar, Vassilis Athitsos, Junzhou Huang, Laleh Shikh Gholamhossein Ghandehari
2014	B	`conf`	O(1) Algorithms for Overlapping Group Sparsity. ICPR Chen Chen, Zhongxing Peng, Junzhou Huang
2014	A*	`conf`	Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction. CVPR Chen Chen, Junzhou Huang, Lei He, Hongsheng Li
2014	—	`conf`	Real Time Dynamic MRI with Dynamic Total Variation. MICCAI (1) Chen Chen, Yeqing Li, Leon Axel, Junzhou Huang
2014	J	`jnl`	SIRF: Simultaneous Image Registration and Fusion in A Unified Framework. CoRR Chen Chen, Yeqing Li, Wei Liu, Junzhou Huang
2014	A*	`conf`	Sub-Selective Quantization for Large-Scale Image Search. AAAI Yeqing Li, Chen Chen, Wei Liu, Junzhou Huang
2014	J	`jnl`	The benefit of tree sparsity in accelerated MRI. Medical Image Anal. Chen Chen, Junzhou Huang
2014	B	`conf`	Transformation-Invariant Collaborative Sub-representation. ICPR Yeqing Li, Chen Chen, Junzhou Huang
2013	J	`jnl`	3D anatomical shape atlas construction using mesh quality preserved deformable models. Comput. Vis. Image Underst. Shaoting Zhang, Yiqiang Zhan, Xinyi Cui, Mingchen Gao, Junzhou Huang, Dimitris N. Metaxas
2013	—	`conf`	Calibrationless Parallel MRI with Joint Total Variation Regularization. MICCAI (3) Chen Chen, Yeqing Li, Junzhou Huang
2013	B	`conf`	Explicit occlusion detection based deformable fitting for facial landmark localization. FG Xiang Yu, Fei Yang, Junzhou Huang, Dimitris N. Metaxas
2013	—	`conf`	Papillary muscles analysis from high resolution CT using spatial-temporal skeleton extraction. ISBI Lin Zhong, Shaoting Zhang, Mingchen Gao, Junzhou Huang, Zhen Qian, Dimitris N. Metaxas, Leon Axel
2013	A*	`conf`	Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model. ICCV Xiang Yu, Junzhou Huang, Shaoting Zhang, Wang Yan, Dimitris N. Metaxas
2013	J	`jnl`	Robust Visual Tracking Using Local Sparse Appearance Model and K-Selection. IEEE Trans. Pattern Anal. Mach. Intell. Baiyang Liu, Junzhou Huang, Casimir A. Kulikowski, Lin Yang
2013	—	`conf`	Sparse Deformable Models with Application to Cardiac Motion Analysis. IPMI Yang Yu, Shaoting Zhang, Junzhou Huang, Dimitris N. Metaxas, Leon Axel
2013	—	`conf`	The role of dictionary learning on sparse representation-based classification. PETRA Soheil Shafiee, Farhad Kamangar, Vassilis Athitsos, Junzhou Huang
2012	—	`conf`	3D Anatomical Shape Atlas Construction Using Mesh Quality Preserved Deformable Models. MeshMed Xinyi Cui, Shaoting Zhang, Yiqiang Zhan, Mingchen Gao, Junzhou Huang, Dimitris N. Metaxas
2012	J	`jnl`	Automatic Image Annotation and Retrieval Using Group Sparsity. IEEE Trans. Syst. Man Cybern. Part B Shaoting Zhang, Junzhou Huang, Hongsheng Li, Dimitris N. Metaxas
2012	—	`conf`	Background Subtraction Using Low Rank and Group Sparsity Constraints. ECCV (1) Xinyi Cui, Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas
2012	—	`conf`	Compressed magnetic resonance imaging based on wavelet sparsity and nonlocal total variation. ISBI Junzhou Huang, Fei Yang
2012	—	`conf`	Compressive Sensing MRI with Wavelet Tree Sparsity. NIPS Chen Chen, Junzhou Huang
2012	—	`conf`	Fast Multi-contrast MRI Reconstruction. MICCAI (1) Junzhou Huang, Chen Chen, Leon Axel
2012	A*	`conf`	Learning active facial patches for expression analysis. CVPR Lin Zhong, Qingshan Liu, Peng Yang, Bo Liu, Junzhou Huang, Dimitris N. Metaxas
2012	J	`jnl`	Learning with Forest Sparsity CoRR Chen Chen, Yeqing Li, Junzhou Huang
2012	—	`conf`	Left endocardium segmentation using spatio-temporal Metamorphs. ISBI Xinyi Cui, Shaoting Zhang, Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas, Leon Axel
2012	B	`conf`	Robust eyelid tracking for fatigue detection. ICIP Fei Yang, Xiang Yu, Junzhou Huang, Peng Yang, Dimitris N. Metaxas
2012	B	`conf`	Robust face tracking with a consumer depth camera. ICIP Fei Yang, Junzhou Huang, Xiang Yu, Xinyi Cui, Dimitris N. Metaxas
2012	—	`conf`	Simplified Labeling Process for Medical Image Segmentation. MICCAI (2) Mingchen Gao, Junzhou Huang, Xiaolei Huang, Shaoting Zhang, Dimitris N. Metaxas
2012	J	`jnl`	Towards robust and effective shape modeling: Sparse shape composition. Medical Image Anal. Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang, Dimitris N. Metaxas, Xiang Sean Zhou
2011	—	`conf`	3D Segmentation of Rodent Brain Structures Using Hierarchical Shape Priors and Deformable Models. MICCAI (3) Shaoting Zhang, Junzhou Huang, Mustafa Gökhan Uzunbas, Tian Shen, Foteini Delis, Xiaolei Huang, Nora D. Volkow, Panayotis K. Thanos, Dimitris N. Metaxas
2011	—	`conf`	3D segmentation of rodent brain structures using Active Volume Model with shape priors. ISBI Shaoting Zhang, Junzhou Huang, Mustafa Gökhan Uzunbas, Tian Shen, Foteini Delis, Xiaolei Huang, Nora D. Volkow, Panayotis K. Thanos, Dimitris N. Metaxas
2011	—	`conf`	4D Cardiac Reconstruction Using High Resolution CT Images. FIMH Mingchen Gao, Junzhou Huang, Shaoting Zhang, Zhen Qian, Szilard Voros, Dimitris N. Metaxas, Leon Axel
2011	A*	`conf`	A 3D Laplacian-driven parametric deformable model. ICCV Tian Shen, Xiaolei Huang, Hongsheng Li, Edward Kim, Shaoting Zhang, Junzhou Huang
2011	J	`jnl`	Composite splitting algorithms for convex optimization. Comput. Vis. Image Underst. Junzhou Huang, Shaoting Zhang, Hongsheng Li, Dimitris N. Metaxas
2011	—	`conf`	Construction of Left Ventricle 3D Shape Atlas from Cardiac MRI. FIMH Shaoting Zhang, Mustafa Gökhan Uzunbas, Zhennan Yan, Mingchen Gao, Junzhou Huang, Dimitris N. Metaxas, Leon Axel
2011	—	`conf`	Deformable Segmentation via Sparse Shape Representation. MICCAI (2) Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang, Dimitris N. Metaxas, Xiang Sean Zhou
2011	J	`jnl`	Efficient MR image reconstruction for compressed MR imaging. Medical Image Anal. Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas
2011	B	`conf`	Eye localization through multiscale sparse dictionaries. FG Fei Yang, Junzhou Huang, Peng Yang, Dimitris N. Metaxas
2011	—	`conf`	Group sparsity based classification for cervigram segmentation. ISBI Yang Yu, Junzhou Huang, Shaoting Zhang, Christophe Restif, Xiaolei Huang, Dimitris N. Metaxas
2011	J	`jnl`	Learning with Structured Sparsity. J. Mach. Learn. Res. Junzhou Huang, Tong Zhang, Dimitris N. Metaxas
2011	—	`conf`	On exploring sparsity in widely separated MIMO radar. ACSCC Athina P. Petropulu, Yao Yu, Junzhou Huang
2011	A*	`conf`	Optimal object matching via convexification and composition. ICCV Hongsheng Li, Junzhou Huang, Shaoting Zhang, Xiaolei Huang
2011	J	`jnl`	Robust mesh editing using Laplacian coordinates. Graph. Model. Shaoting Zhang, Junzhou Huang, Dimitris N. Metaxas
2011	A*	`conf`	Robust tracking using local sparse appearance model and K-selection. CVPR Baiyang Liu, Junzhou Huang, Lin Yang, Casimir A. Kulikowski
2011	A*	`conf`	Sparse shape composition: A new framework for shape prior modeling. CVPR Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang, Dimitris N. Metaxas, Xiang Sean Zhou
2011	B	`conf`	Sparse shape registration for occluded facial feature localization. FG Fei Yang, Junzhou Huang, Dimitris N. Metaxas
2010	A*	`conf`	Automatic image annotation using group sparsity. CVPR Shaoting Zhang, Junzhou Huang, Yuchi Huang, Yang Yu, Hongsheng Li, Dimitris N. Metaxas
2010	B	`conf`	Cervigram image segmentation based on reconstructive sparse representations. Image Processing Shaoting Zhang, Junzhou Huang, Wei Wang, Xiaolei Huang, Dimitris N. Metaxas
2010	—	`conf`	Discriminative sparse representations for cervigram image segmentation. ISBI Shaoting Zhang, Junzhou Huang, Dimitris N. Metaxas, Wei Wang, Xiaolei Huang
2010	—	`conf`	Efficient MR Image Reconstruction for Compressed MR Imaging. MICCAI (1) Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas
2010	—	`conf`	Fast Optimization for Mixture Prior Models. ECCV (3) Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas
2010	—	`conf`	Robust and Fast Collaborative Tracking with Two Stage Sparse Optimization. ECCV (4) Baiyang Liu, Lin Yang, Junzhou Huang, Peter Meer, Leiguang Gong, Casimir A. Kulikowski
2009	A*	`conf`	Learning with dynamic group sparsity. ICCV Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas
2009	A*	`conf`	Learning with structured sparsity. ICML Junzhou Huang, Tong Zhang, Dimitris N. Metaxas
2008	—	`conf`	Active Volume Models with Probabilistic Object Boundary Prediction Module. MICCAI (1) Tian Shen, Yaoyao Zhu, Xiaolei Huang, Junzhou Huang, Dimitris N. Metaxas, Leon Axel
2008	A*	`conf`	Simultaneous image transformation and sparse representation recovery. CVPR Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas
2008	—	`conf`	Tag Separation in Cardiac Tagged MRI. MICCAI (2) Junzhou Huang, Zhen Qian, Xiaolei Huang, Dimitris N. Metaxas, Leon Axel
2007	—	`conf`	Adaptive Metamorphs Model for 3D Medical Image Segmentation. MICCAI (1) Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas, Leon Axel
2007	—	`conf`	Dynamic Texture Based Heart Localization and Segmentation in 4-D Cardiac Images. ISBI Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas, Leon Axel
2007	A*	`conf`	Optimization and Learning for Registration of Moving Dynamic Textures. ICCV Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas
2006	—	`conf`	3D tumor shape reconstruction from 2D bioluminescence images. ISBI Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas, Debarata Banerjee
2005	J	`jnl`	Phase Correlation Based Iris Image Registration Model. J. Comput. Sci. Technol. Junzhou Huang, Tieniu Tan, Li Ma, Yunhong Wang
2004	—	`conf`	A New Iris Segmentation Method for Recognition. ICPR (3) Junzhou Huang, Yunhong Wang, Tieniu Tan, Jiali Cui
2004	—	`conf`	An Iris Image Synthesis Method Based on PCA and Super-Resolution. ICPR (4) Jiali Cui, Yunhong Wang, Junzhou Huang, Tieniu Tan, Zhenan Sun
2004	B	`conf`	Noise removal and impainting model for IRIS image. ICIP Junzhou Huang, Yunhong Wang, Jiali Cui, Tieniu Tan
2003	A	`conf`	Learning Based Resolution Enhancement of Iris Images. BMVC Junzhou Huang, Li Ma, Tieniu Tan, Yunhong Wang