Huang, Junzhou

105 publications

AAAI 2025 GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction Yuwei Miao, Yuzhi Guo, Hehuan Ma, Jingquan Yan, Feng Jiang, Rui Liao, Junzhou Huang

ICLR 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, Jia Li

ICCV 2025 Learning a Unified Template for Gait Recognition Panjian Huang, Saihui Hou, Junzhou Huang, Yongzhen Huang

WACV 2025 SODA: Spectral Orthogonal Decomposition Adaptation for Diffusion Models Xinxi Zhang, Song Wen, Ligong Han, Felix Juefei-Xu, Akash Srivastava, Junzhou Huang, Vladimir Pavlovic, Hao Wang, Molei Tao, Dimitris Metaxas

NeurIPS 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

ICCV 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, Junzhou Huang

NeurIPS 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, Huaxiu Yao

ICMLW 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

ECCV 2024 Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks Weizhi An, Wenliang Zhong, Feng Jiang, Hehuan Ma, Junzhou Huang

WACV 2024 MIVC: Multiple Instance Visual Component for Visual-Language Models Wenyi Wu, Qi Li, Wenliang Zhong, Junzhou Huang

AAAI 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, Yatao Bian

TMLR 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, Junzhou Huang

CVPRW 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

NeurIPS 2023 Retaining Beneficial Information from Detrimental Data for Neural Network Repair Long-Kai Huang, Peilin Zhao, Junzhou Huang, Sinno Pan

WACV 2023 TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation Jinyu Yang, Jingjing Liu, Ning Xu, Junzhou Huang

ECCV 2022 ConCL: Concept Contrastive Learning for Dense Prediction Pre-Training in Pathology Images Jiawei Yang, Hanbo Chen, Yuan Liang, Junzhou Huang, Lei He, Jianhua Yao

AAAI 2022 Deep Implicit Statistical Shape Models for 3D Medical Image Delineation Ashwin Raju, Shun Miao, Dakai Jin, Le Lu, Junzhou Huang, Adam P. Harrison

ICLR 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, Junzhou Huang

ICLR 2022 Equivariant Graph Mechanics Networks with Constraints Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang

ICML 2022 Frustratingly Easy Transferability Estimation Long-Kai Huang, Junzhou Huang, Yu Rong, Qiang Yang, Ying Wei

AAAI 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

ICML 2022 Local Augmentation for Graph Neural Networks Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu

CVPR 2022 Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification Zongbo Han, Fan Yang, Junzhou Huang, Changqing Zhang, Jianhua Yao

CVPR 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, Xiao Han

NeurIPS 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, Wei Yang, Junzhou Huang, Xiao Han

AAAI 2022 Self-Supervised Pre-Training for Protein Embeddings Using Tertiary Structures Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Junzhou Huang

CVPR 2022 Vision-Language Pre-Training with Triple Contrastive Learning Jinyu Yang, Jiali Duan, Son Tran, Yi Xu, Sampath Chanda, Liqun Chen, Belinda Zeng, Trishul Chilimbi, Junzhou Huang

WACV 2021 Context-Aware Domain Adaptation in Semantic Segmentation Jinyu Yang, Weizhi An, Chaochao Yan, Peilin Zhao, Junzhou Huang

AAAI 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

ICCV 2021 Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang

NeurIPS 2021 Functionally Regionalized Knowledge Transfer for Low-Resource Drug Discovery Huaxiu Yao, Ying Wei, Long-Kai Huang, Ding Xue, Junzhou Huang, Zhenhui Li

ICLR 2021 Graph Information Bottleneck for Subgraph Recognition Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He

AAAI 2021 Hierarchical Graph Capsule Network Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang

ICML 2021 Improving Generalization in Meta-Learning via Task Augmentation Huaxiu Yao, Long-Kai Huang, Linjun Zhang, Ying Wei, Li Tian, James Zou, Junzhou Huang, Zhenhui () Li

ICML 2021 Learning Diverse-Structured Networks for Adversarial Robustness Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama

ICML 2021 Meta-Learning Hyperparameter Performance Prediction with Neural Processes Ying Wei, Peilin Zhao, Junzhou Huang

AAAI 2021 Minimizing Labeling Cost for Nuclei Instance Segmentation and Classification with Cross-Domain Images and Weak Labels Siqi Yang, Jun Zhang, Junzhou Huang, Brian C. Lovell, Xiao Han

NeurIPS 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

IJCAI 2021 On Self-Distilling Graph Neural Network Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang

AAAI 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, Shuguang Cui

AAAI 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, Junzhou Huang

NeurIPS 2020 Adversarial Sparse Transformer for Time Series Forecasting Sifan Wu, Xi Xiao, Qianggang Ding, Peilin Zhao, Ying Wei, Junzhou Huang

ICML 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, Mingkui Tan

ECCV 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, Adam P. Harrison

NeurIPS 2020 Deep Multimodal Fusion by Channel Exchanging Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong, Junzhou Huang

NeurIPS 2020 Dirichlet Graph Variational Autoencoder Jia Li, Jianwei Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang

ICLR 2020 DropEdge: Towards Deep Graph Convolutional Networks on Node Classification Yu Rong, Wenbing Huang, Tingyang Xu, Junzhou Huang

AAAI 2020 Graph Few-Shot Learning via Knowledge Transfer Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li

ECCV 2020 Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, Junzhou Huang

AAAI 2020 Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection Zeping Yu, Rui Cao, Qiyi Tang, Sen Nie, Junzhou Huang, Shi Wu

NeurIPS 2020 RetroXpert: Decompose Retrosynthesis Prediction like a Chemist Chaochao Yan, Qianggang Ding, Peilin Zhao, Shuangjia Zheng, Jinyu Yang, Yang Yu, Junzhou Huang

NeurIPS 2020 Revisiting Parameter Sharing for Automatic Neural Channel Number Search Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Xupeng Shi, Junzhou Huang, Irwin King, Michael Lyu, Jian Cheng

AAAI 2020 Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang

NeurIPS 2020 Self-Supervised Graph Transformer on Large-Scale Molecular Data Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang, Junzhou Huang

ICLR 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

AAAI 2020 Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses Xiaoming Shi, Haifeng Hu, Wanxiang Che, Zhongqian Sun, Ting Liu, Junzhou Huang

AAAI 2019 An Efficient Approach to Informative Feature Extraction from Multimodal Data Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang

ICML 2019 Collaborative Channel Pruning for Deep Networks Hanyu Peng, Jiaxiang Wu, Shifeng Chen, Junzhou Huang

AISTATS 2019 Complexities in Projection-Free Stochastic Non-Convex Minimization Zebang Shen, Cong Fang, Peilin Zhao, Junzhou Huang, Hui Qian

AAAI 2019 Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong

NeurIPS 2019 DTWNet: A Dynamic Time Warping Network Xingyu Cai, Tingyang Xu, Jinfeng Yi, Junzhou Huang, Sanguthevar Rajasekaran

AISTATS 2019 Distributed Inexact Newton-Type Pursuit for Non-Convex Sparse Learning Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Junzhou Huang, Dimitris N. Metaxas

AISTATS 2019 Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks Yue Yu, Jiaxiang Wu, Junzhou Huang

ICML 2019 Hierarchically Structured Meta-Learning Huaxiu Yao, Ying Wei, Junzhou Huang, Zhenhui Li

NeurIPS 2019 Hyperparameter Learning via Distributional Transfer Ho Chung Law, Peilin Zhao, Leung Sing Chan, Junzhou Huang, Dino Sejdinovic

NeurIPS 2019 Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement Chao Yang, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Huaping Liu, Junzhou Huang, Chuang Gan

NeurIPS 2019 NAT: Neural Architecture Transformer for Accurate and Compact Architectures Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang

ICML 2019 RaFM: Rank-Aware Factorization Machines Xiaoshuang Chen, Yin Zheng, Jiaxing Wang, Wenye Ma, Junzhou Huang

AAAI 2018 Adaptive Graph Convolutional Neural Networks Ruoyu Li, Sheng Wang, Feiyun Zhu, Junzhou Huang

NeurIPS 2018 Adaptive Sampling Towards Fast Graph Representation Learning Wenbing Huang, Tong Zhang, Yu Rong, Junzhou Huang

ICML 2018 Adversarial Learning with Local Coordinate Coding Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan

ACML 2018 Deep Multi-Instance Learning with Dynamic Pooling Yongluan Yan, Xinggang Wang, Xiaojie Guo, Jiemin Fang, Wenyu Liu, Junzhou Huang

NeurIPS 2018 Discrimination-Aware Channel Pruning for Deep Neural Networks Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jinhui Zhu

ICML 2018 Error Compensated Quantized SGD and Its Applications to Large-Scale Distributed Optimization Jiaxiang Wu, Weidong Huang, Junzhou Huang, Tong Zhang

ICML 2018 Transfer Learning via Learning to Transfer Ying Wei, Yu Zhang, Junzhou Huang, Qiang Yang

NeurIPS 2018 Weakly Supervised Dense Event Captioning in Videos Xuguang Duan, Wenbing Huang, Chuang Gan, Jingdong Wang, Wenwu Zhu, Junzhou Huang

ECCV 2018 Weakly Supervised Region Proposal Network and Object Detection Peng Tang, Xinggang Wang, Angtian Wang, Yongluan Yan, Wenyu Liu, Junzhou Huang, Alan Yuille

AAAI 2017 A General Efficient Hyperparameter-Free Algorithm for Convolutional Sparse Learning Zheng Xu, Junzhou Huang

AAAI 2017 Adaptive Proximal Average Approximation for Composite Convex Minimization Li Shen, Wei Liu, Junzhou Huang, Yu-Gang Jiang, Shiqian Ma

NeurIPS 2017 Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding Wenbing Huang, Mehrtash Harandi, Tong Zhang, Lijie Fan, Fuchun Sun, Junzhou Huang

CVPR 2017 WSISA: Making Survival Prediction from Whole Slide Histopathological Images Xinliang Zhu, Jiawen Yao, Feiyun Zhu, Junzhou Huang

AAAI 2016 Scalable Sequential Spectral Clustering Yeqing Li, Junzhou Huang, Wei Liu

CVPRW 2016 Sequential Face Alignment via Person-Specific Modeling in the Wild Xi Peng, Junzhou Huang, Dimitris N. Metaxas

CVPR 2015 Deep Sparse Representation for Robust Image Registration Yeqing Li, Chen Chen, Fei Yang, Junzhou Huang

AAAI 2015 Large-Scale Multi-View Spectral Clustering via Bipartite Graph Yeqing Li, Feiping Nie, Heng Huang, Junzhou Huang

IJCAI 2015 Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information Cheng Deng, Zongting Lv, Wei Liu, Junzhou Huang, Dacheng Tao, Xinbo Gao

CVPR 2014 Image Fusion with Local Spectral Consistency and Dynamic Gradient Sparsity Chen Chen, Yeqing Li, Wei Liu, Junzhou Huang

CVPR 2014 Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction Chen Chen, Junzhou Huang, Lei He, Hongsheng Li

AAAI 2014 Sub-Selective Quantization for Large-Scale Image Search Yeqing Li, Chen Chen, Wei Liu, Junzhou Huang

ICCV 2013 Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model Xiang Yu, Junzhou Huang, Shaoting Zhang, Wang Yan, Dimitris N. Metaxas

ECCV 2012 Background Subtraction Using Low Rank and Group Sparsity Constraints Xinyi Cui, Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas

NeurIPS 2012 Compressive Sensing MRI with Wavelet Tree Sparsity Chen Chen, Junzhou Huang

CVPR 2012 Learning Active Facial Patches for Expression Analysis Lin Zhong, Qingshan Liu, Peng Yang, Bo Liu, Junzhou Huang, Dimitris N. Metaxas

ICCV 2011 A 3D Laplacian-Driven Parametric Deformable Model Tian Shen, Xiaolei Huang, Hongsheng Li, Edward Kim, Shaoting Zhang, Junzhou Huang

JMLR 2011 Learning with Structured Sparsity Junzhou Huang, Tong Zhang, Dimitris Metaxas

ICCV 2011 Optimal Object Matching via Convexification and Composition Hongsheng Li, Junzhou Huang, Shaoting Zhang, Xiaolei Huang

CVPR 2011 Robust Tracking Using Local Sparse Appearance Model and K-Selection Baiyang Liu, Junzhou Huang, Lin Yang, Casimir A. Kulikowski

CVPR 2011 Sparse Shape Composition: A New Framework for Shape Prior Modeling Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang, Dimitris N. Metaxas, Xiang Sean Zhou

CVPR 2010 Automatic Image Annotation Using Group Sparsity Shaoting Zhang, Junzhou Huang, Yuchi Huang, Yang Yu, Hongsheng Li, Dimitris N. Metaxas

ECCV 2010 Fast Optimization for Mixture Prior Models Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas

ECCV 2010 Robust and Fast Collaborative Tracking with Two Stage Sparse Optimization Baiyang Liu, Lin Yang, Junzhou Huang, Peter Meer, Leiguang Gong, Casimir A. Kulikowski

ICCV 2009 Learning with Dynamic Group Sparsity Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas

ICML 2009 Learning with Structured Sparsity Junzhou Huang, Tong Zhang, Dimitris N. Metaxas

CVPR 2008 Simultaneous Image Transformation and Sparse Representation Recovery Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas

ICCV 2007 Optimization and Learning for Registration of Moving Dynamic Textures Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas