Junzhou Huang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
177
Venues
28
Active years
2003–2026
Best venue rank
A*
Where they publish
- AMICCAI49 papers
- A*AAAI24 papers
- A*CVPR16 papers
- A*ICML13 papers
- A*ICCV9 papers
- A*ECCV8 papers
- BICPR7 papers
- A*ICLR6 papers
- A*WWW6 papers
- AWACV5 papers
- ACIKM5 papers
- A*KDD4 papers
- BICIP4 papers
- AAISTATS3 papers
- A*ICDE2 papers
- BDASFAA2 papers
- A*IJCAI2 papers
- ABMVC2 papers
- A*ACL1 paper
- AICS1 paper
- A*ICDM1 paper
- A*SIGIR1 paper
- BWISE1 paper
- BRECOMB1 paper
- CACML1 paper
- NationalPSB1 paper
- AECAI1 paper
- NationalACSSC1 paper
Papers
177 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | GenePheno: Interpretable Gene Knockout-Induced Phenotype Abnormality Prediction from Gene Sequences. | Jingquan Yan, Yuwei Miao, Lei Yu, Yuzhi Guo, Xue Xiao, Lin Xu, Junzhou Huang |
| 2026 | AAAI | Learning from Guidelines: Structured Prompt Optimization for Expert Annotation Tasks. | Wenliang Zhong, Haiqing Li, Thao M. Dang, Feng Jiang, Hehuan Ma, Yuzhi Guo, Jean Gao, Junzhou Huang |
| 2026 | ACL | Guidelines as Environments: A World Model Approach to Rule Following. | Haiqing Li, Wenliang Zhong, Yinhao Wu, Hehuan Ma, Yuzhi Guo, Thao M. Dang, Junzhou Huang |
| 2026 | WACV | DICE: Discrete Inversion Enabling Controllable Editing for Masked Generative Models. | Xiaoxiao He, Quan Dao, Ligong Han, Song Wen, Minhao Bai, Di Liu, Han Zhang, Felix Juefei-Xu, Chaowei Tan, Bo Liu, Martin Renqiang Min, Kang Li, Faez Ahmed, Akash Srivastava, Hongdong Li, Junzhou Huang, Dimitris N. Metaxas |
| 2025 | AAAI | 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 |
| 2025 | ICCV | Learning a Unified Template for Gait Recognition. | Panjian Huang, Saihui Hou, Junzhou Huang, Yongzhen Huang |
| 2025 | ICCV | Zero-Shot Composed Image Retrieval via Dual-Stream Instruction-Aware Distillation. | Wenliang Zhong, Robert A. Barton, Weizhi An, Feng Jiang, Hehuan Ma, Yuzhi Guo, Abhishek Dan, Shioulin Sam, Karim Bouyarmane, Junzhou Huang |
| 2025 | ICLR | 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 |
| 2025 | ICS | NeurLZ: An Online Neural Learning-based Method to Enhance Scientific Lossy Compression. | Wenqi Jia, Zhewen Hu, Youyuan Liu, Boyuan Zhang, Jinzhen Wang, Jinyang Liu, Wei Niu, Stavros Kalafatis, Junzhou Huang, Sian Jin, Daoce Wang, Jiannan Tian, Miao Yin |
| 2025 | MICCAI | HAGE: Hierarchical Alignment Gene-Enhanced Pathology Representation Learning with Spatial Transcriptomics. | Thao M. Dang, Haiqing Li, Yuzhi Guo, Hehuan Ma, Feng Jiang, Yuwei Miao, Qifeng Zhou, Jean Gao, Junzhou Huang |
| 2025 | MICCAI | Text-Guided Multi-instance Learning for Scoliosis Screening via Gait Video Analysis. | Haiqing Li, Yuzhi Guo, Feng Jiang, Thao M. Dang, Hehuan Ma, Qifeng Zhou, Jean Gao, Junzhou Huang |
| 2025 | WACV | 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 N. Metaxas |
| 2024 | CIKM | Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation. | Tian Bian, Yifan Niu, Heng Chang, Divin Yan, Junzhou Huang, Yu Rong, Tingyang Xu, Jia Li, Hong Cheng |
| 2024 | CIKM | Natural Language-Assisted Multi-modal Medication Recommendation. | Jie Tan, Yu Rong, Kangfei Zhao, Tian Bian, Tingyang Xu, Junzhou Huang, Hong Cheng, Helen Meng |
| 2024 | ECCV | Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks. | Weizhi An, Wenliang Zhong, Feng Jiang, Hehuan Ma, Junzhou Huang |
| 2024 | MICCAI | PathM3: A Multimodal Multi-task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning. | Qifeng Zhou, Wenliang Zhong, Yuzhi Guo, Michael Xiao, Hehuan Ma, Junzhou Huang |
| 2024 | WACV | MIVC: Multiple Instance Visual Component for Visual-Language Models. | Wenyi Wu, Qi Li, Wenliang Zhong, Junzhou Huang |
| 2023 | AAAI | 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 |
| 2023 | CIKM | Enhancing Catalog Relationship Problems with Heterogeneous Graphs and Graph Neural Networks Distillation. | Boxin Du, Robert A. Barton, Grant Galloway, Junzhou Huang, Shioulin Sam, Ismail B. Tutar, Changhe Yuan |
| 2023 | CVPR | 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 |
| 2023 | ICDE | Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (Extended Abstract). | Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan |
| 2023 | ICDM | ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. | Yucheng Shi, Hehuan Ma, Wenliang Zhong, Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang |
| 2023 | MICCAI | An Unsupervised Multispectral Image Registration Network for Skin Diseases. | Songhui Diao, Wenxue Zhou, Chenchen Qin, Jun Liao, Junzhou Huang, Wenming Yang, Jianhua Yao |
| 2023 | MICCAI | IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis. | Qin Ren, Yu Zhao, Bing He, Bingzhe Wu, Sijie Mai, Fan Xu, Yueshan Huang, Yonghong He, Junzhou Huang, Jianhua Yao |
| 2023 | MICCAI | Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study. | Lu Zhang, Saiyang Na, Tianming Liu, Dajiang Zhu, Junzhou Huang |
| 2023 | WWW | Curriculum Graph Poisoning. | Hanwen Liu, Peilin Zhao, Tingyang Xu, Yatao Bian, Junzhou Huang, Yuesheng Zhu, Yadong Mu |
| 2023 | WACV | TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation. | Jinyu Yang, Jingjing Liu, Ning Xu, Junzhou Huang |
| 2022 | AAAI | GNN-Retro: Retrosynthetic Planning with Graph Neural Networks. | Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang |
| 2022 | AAAI | Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures. | Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Junzhou Huang |
| 2022 | AAAI | Deep Implicit Statistical Shape Models for 3D Medical Image Delineation. | Ashwin Raju, Shun Miao, Dakai Jin, Le Lu, Junzhou Huang, Adam P. Harrison |
| 2022 | CVPR | 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 |
| 2022 | CVPR | Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification. | Zongbo Han, Fan Yang, Junzhou Huang, Changqing Zhang, Jianhua Yao |
| 2022 | CVPR | 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 |
| 2022 | ECCV | ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images. | Jiawei Yang, Hanbo Chen, Yuan Liang, Junzhou Huang, Lei He, Jianhua Yao |
| 2022 | ICDE | Finding Critical Users in Social Communities via Graph Convolutions (Extended Abstract). | Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang |
| 2022 | ICLR | Equivariant Graph Mechanics Networks with Constraints. | Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang |
| 2022 | ICLR | 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 |
| 2022 | ICML | Frustratingly Easy Transferability Estimation. | Long-Kai Huang, Junzhou Huang, Yu Rong, Qiang Yang, Ying Wei |
| 2022 | ICML | Local Augmentation for Graph Neural Networks. | Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu |
| 2022 | ICPR | Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics. | Chunyuan Li, Xinliang Zhu, Jiawen Yao, Junzhou Huang |
| 2022 | KDD | Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. | Bingzhe Wu, Yatao Bian, Hengtong Zhang, Jintang Li, Junchi Yu, Liang Chen, Chaochao Chen, Junzhou Huang |
| 2022 | MICCAI | Self-supervised Pre-training for Nuclei Segmentation. | Mohammad MinHazul Haq, Junzhou Huang |
| 2022 | MICCAI | SETMIL: Spatial Encoding Transformer-Based Multiple Instance Learning for Pathological Image Analysis. | Yu Zhao, Zhenyu Lin, Kai Sun, Yidan Zhang, Junzhou Huang, Liansheng Wang, Jianhua Yao |
| 2022 | WWW | Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media. | Erxue Min, Yu Rong, Yatao Bian, Tingyang Xu, Peilin Zhao, Junzhou Huang, Sophia Ananiadou |
| 2022 | SIGIR | Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer. | Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Da Luo, Kangyi Lin, Junzhou Huang, Sophia Ananiadou, Peilin Zhao |
| 2021 | AAAI | 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 |
| 2021 | AAAI | 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 |
| 2021 | AAAI | 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 |
| 2021 | AAAI | Hierarchical Graph Capsule Network. | Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang |
| 2021 | CIKM | Spectral Graph Attention Network with Fast Eigen-approximation. | Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu |
| 2021 | CIKM | Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding. | Zhehan Liang, Yu Rong, Chenxin Li, Yunlong Zhang, Yue Huang, Tingyang Xu, Xinghao Ding, Junzhou Huang |
| 2021 | DASFAA | Towards Expectation-Maximization by SQL in RDBMS. | Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, Ming Liao, Junzhou Huang |
| 2021 | ICCV | 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 |
| 2021 | ICLR | Graph Information Bottleneck for Subgraph Recognition. | Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He |
| 2021 | ICML | Learning Diverse-Structured Networks for Adversarial Robustness. | Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama |
| 2021 | ICML | Meta-learning Hyperparameter Performance Prediction with Neural Processes. | Ying Wei, Peilin Zhao, Junzhou Huang |
| 2021 | ICML | 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 |
| 2021 | IJCAI | On Self-Distilling Graph Neural Network. | Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang |
| 2021 | MICCAI | From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded Networks. | Hanbo Chen, Kang Wang, Yuyao Zhu, Jiangpeng Yan, Yan Ji, Jingjing Li, Dong Xie, Junzhou Huang, Shuqun Cheng, Jianhua Yao |
| 2021 | MICCAI | Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical Information. | Hang Li, Fan Yang, Xiaohan Xing, Yu Zhao, Jun Zhang, Yueping Liu, Mengxue Han, Junzhou Huang, Liansheng Wang, Jianhua Yao |
| 2021 | MICCAI | DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image. | Hang Li, Fan Yang, Yu Zhao, Xiaohan Xing, Jun Zhang, Mingxuan Gao, Junzhou Huang, Liansheng Wang, Jianhua Yao |
| 2021 | MICCAI | TransPath: Transformer-Based Self-supervised Learning for Histopathological Image Classification. | Xiyue Wang, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Junzhou Huang, Wei Yang, Xiao Han |
| 2021 | MICCAI | Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation. | Jiangpeng Yan, Hanbo Chen, Kang Wang, Yan Ji, Yuyao Zhu, Jingjing Li, Dong Xie, Zhe Xu, Junzhou Huang, Shuqun Cheng, Xiu Li, Jianhua Yao |
| 2021 | WACV | Context-Aware Domain Adaptation in Semantic Segmentation. | Jinyu Yang, Weizhi An, Chaochao Yan, Peilin Zhao, Junzhou Huang |
| 2021 | WISE | Graph Ordering: Towards the Optimal by Learning. | Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Wenbing Huang, Junzhou Huang, Hao Zhang |
| 2020 | AAAI | 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 |
| 2020 | AAAI | 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 |
| 2020 | AAAI | Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses. | Xiaoming Shi, Haifeng Hu, Wanxiang Che, Zhongqian Sun, Ting Liu, Junzhou Huang |
| 2020 | AAAI | Graph Few-Shot Learning via Knowledge Transfer. | Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li |
| 2020 | AAAI | Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection. | Zeping Yu, Rui Cao, Qiyi Tang, Sen Nie, Junzhou Huang, Shi Wu |
| 2020 | ECCV | 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, Chien-Hung Liao, Adam P. Harrison |
| 2020 | ECCV | Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation. | Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, Junzhou Huang |
| 2020 | ICLR | 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 |
| 2020 | ICLR | DropEdge: Towards Deep Graph Convolutional Networks on Node Classification. | Yu Rong, Wenbing Huang, Tingyang Xu, Junzhou Huang |
| 2020 | ICML | 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 |
| 2020 | KDD | Deep Graph Learning: Foundations, Advances and Applications. | Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma |
| 2020 | KDD | TranSlider: Transfer Ensemble Learning from Exploitation to Exploration. | Kuo Zhong, Ying Wei, Chun Yuan, Haoli Bai, Junzhou Huang |
| 2020 | MICCAI | User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation. | Ashwin Raju, Zhanghexuan Ji, Chi-Tung Cheng, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison |
| 2020 | MICCAI | Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging. | Ashwin Raju, Jiawen Yao, Mohammad MinHazul Haq, Jitendra Jonnagaddala, Junzhou Huang |
| 2020 | MICCAI | Asynchronous in Parallel Detection and Tracking (AIPDT): Real-Time Robust Polyp Detection. | Zijian Zhang, Hong Shang, Han Zheng, Xiaoning Wang, Jiajun Wang, Zhongqian Sun, Junzhou Huang, Jianhua Yao |
| 2020 | RECOMB | Bagging MSA Learning: Enhancing Low-Quality PSSM with Deep Learning for Accurate Protein Structure Property Prediction. | Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang |
| 2020 | WWW | Adversarial Attack on Community Detection by Hiding Individuals. | Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang |
| 2020 | WWW | Graph Representation Learning via Graphical Mutual Information Maximization. | Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang |
| 2019 | AAAI | Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation. | Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong |
| 2019 | AAAI | 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 |
| 2019 | AISTATS | Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning. | Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Junzhou Huang, Dimitris N. Metaxas |
| 2019 | AISTATS | Complexities in Projection-Free Stochastic Non-convex Minimization. | Zebang Shen, Cong Fang, Peilin Zhao, Junzhou Huang, Hui Qian |
| 2019 | AISTATS | Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks. | Yue Yu, Jiaxiang Wu, Junzhou Huang |
| 2019 | CVPR | Progressive Feature Alignment for Unsupervised Domain Adaptation. | Chaoqi Chen, Weiping Xie, Wenbing Huang, Yu Rong, Xinghao Ding, Yue Huang, Tingyang Xu, Junzhou Huang |
| 2019 | ICCV | Graph Convolutional Networks for Temporal Action Localization. | Runhao Zeng, Wenbing Huang, Chuang Gan, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang |
| 2019 | ICML | RaFM: Rank-Aware Factorization Machines. | Xiaoshuang Chen, Yin Zheng, Jiaxing Wang, Wenye Ma, Junzhou Huang |
| 2019 | ICML | Collaborative Channel Pruning for Deep Networks. | Hanyu Peng, Jiaxiang Wu, Shifeng Chen, Junzhou Huang |
| 2019 | ICML | Hierarchically Structured Meta-learning. | Huaxiu Yao, Ying Wei, Junzhou Huang, Zhenhui Li |
| 2019 | MICCAI | Rectified Cross-Entropy and Upper Transition Loss for Weakly Supervised Whole Slide Image Classifier. | Hanbo Chen, Xiao Han, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Junzhou Huang, Jianhua Yao |
| 2019 | MICCAI | Leveraging Other Datasets for Medical Imaging Classification: Evaluation of Transfer, Multi-task and Semi-supervised Learning. | Hong Shang, Zhongqian Sun, Wei Yang, Xinghui Fu, Han Zheng, Jia Chang, Junzhou Huang |
| 2019 | MICCAI | Integrating 3D Geometry of Organ for Improving Medical Image Segmentation. | Jiawen Yao, Jinzheng Cai, Dong Yang, Daguang Xu, Junzhou Huang |
| 2019 | MICCAI | Deep Multi-instance Learning for Survival Prediction from Whole Slide Images. | Jiawen Yao, Xinliang Zhu, Junzhou Huang |
| 2019 | MICCAI | From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification. | Yifan Zhang, Hanbo Chen, Ying Wei, Peilin Zhao, Jiezhang Cao, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Jinlong Hou, Xiao Han, Jianhua Yao, Qingyao Wu, Mingkui Tan, Junzhou Huang |
| 2019 | WWW | Semi-Supervised Graph Classification: A Hierarchical Graph Perspective. | Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang |
| 2018 | AAAI | Adaptive Graph Convolutional Neural Networks. | Ruoyu Li, Sheng Wang, Feiyun Zhu, Junzhou Huang |
| 2018 | ACML | Deep Multi-instance Learning with Dynamic Pooling. | Yongluan Yan, Xinggang Wang, Xiaojie Guo, Jiemin Fang, Wenyu Liu, Junzhou Huang |
| 2018 | CVPR | End-to-End Learning of Motion Representation for Video Understanding. | Lijie Fan, Wen-bing Huang, Chuang Gan, Stefano Ermon, Boqing Gong, Junzhou Huang |
| 2018 | DASFAA | Exploiting Ranking Consistency Principle in Representation Learning for Location Promotion. | Siyuan Zhang, Yu Rong, Yu Zheng, Hong Cheng, Junzhou Huang |
| 2018 | ECCV | Weakly Supervised Region Proposal Network and Object Detection. | Peng Tang, Xinggang Wang, Angtian Wang, Yongluan Yan, Wenyu Liu, Junzhou Huang, Alan L. Yuille |
| 2018 | ICML | Adversarial Learning with Local Coordinate Coding. | Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan |
| 2018 | ICML | Transfer Learning via Learning to Transfer. | Ying Wei, Yu Zhang, Junzhou Huang, Qiang Yang |
| 2018 | ICML | Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization. | Jiaxiang Wu, Weidong Huang, Junzhou Huang, Tong Zhang |
| 2018 | KDD | Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data. | Yifan Zhang, Peilin Zhao, Jiezhang Cao, Wenye Ma, Junzhou Huang, Qingyao Wu, Mingkui Tan |
| 2018 | MICCAI | Graph CNN for Survival Analysis on Whole Slide Pathological Images. | Ruoyu Li, Jiawen Yao, Xinliang Zhu, Yeqing Li, Junzhou Huang |
| 2018 | MICCAI | Group-Driven Reinforcement Learning for Personalized mHealth Intervention. | Feiyun Zhu, Jun Guo, Zheng Xu, Peng Liao, Liu Yang, Junzhou Huang |
| 2018 | MICCAI | Robust Contextual Bandit via the Capped- ℓ _2 ℓ 2 Norm for Mobile Health Intervention. | Feiyun Zhu, Xinliang Zhu, Sheng Wang, Jiawen Yao, Zhichun Xiao, Junzhou Huang |
| 2018 | PSB | Session introduction. | Heng Huang, Li Shen, Paul M. Thompson, Kun Huang, Junzhou Huang, Lin Yang |
| 2018 | WWW | Online Compact Convexified Factorization Machine. | Xiao Lin, Wenpeng Zhang, Min Zhang, Wenwu Zhu, Jian Pei, Peilin Zhao, Junzhou Huang |
| 2017 | AAAI | A General Efficient Hyperparameter-Free Algorithm for Convolutional Sparse Learning. | Zheng Xu, Junzhou Huang |
| 2017 | AAAI | Adaptive Proximal Average Approximation for Composite Convex Minimization. | Li Shen, Wei Liu, Junzhou Huang, Yu-Gang Jiang, Shiqian Ma |
| 2017 | CVPR | WSISA: Making Survival Prediction from Whole Slide Histopathological Images. | Xinliang Zhu, Jiawen Yao, Feiyun Zhu, Junzhou Huang |
| 2017 | MICCAI | Deep Correlational Learning for Survival Prediction from Multi-modality Data. | Jiawen Yao, Xinliang Zhu, Feiyun Zhu, Junzhou Huang |
| 2016 | AAAI | Scalable Sequential Spectral Clustering. | Yeqing Li, Junzhou Huang, Wei Liu |
| 2016 | BMVC | Track Facial Points in Unconstrained Videos. | Xi Peng, Qiong Hu, Junzhou Huang, Dimitris N. Metaxas |
| 2016 | CVPR | Sequential Face Alignment via Person-Specific Modeling in the Wild. | Xi Peng, Junzhou Huang, Dimitris N. Metaxas |
| 2016 | ECAI | Semi-Supervised Group Sparse Representation: Model, Algorithm and Applications. | Longwen Gao, Yeqing Li, Junzhou Huang, Shuigeng Zhou |
| 2016 | ICPR | Accelerated sparse optimization for missing data completion. | Zheng Xu, Yeqing Li, Junzhou Huang |
| 2016 | MICCAI | Subtype Cell Detection with an Accelerated Deep Convolution Neural Network. | Sheng Wang, Jiawen Yao, Zheng Xu, Junzhou Huang |
| 2016 | MICCAI | Detecting 10, 000 Cells in One Second. | Zheng Xu, Junzhou Huang |
| 2016 | MICCAI | Imaging Biomarker Discovery for Lung Cancer Survival Prediction. | Jiawen Yao, Sheng Wang, Xinliang Zhu, Junzhou Huang |
| 2015 | AAAI | Large-Scale Multi-View Spectral Clustering via Bipartite Graph. | Yeqing Li, Feiping Nie, Heng Huang, Junzhou Huang |
| 2015 | CVPR | Deep sparse representation for robust image registration. | Yeqing Li, Chen Chen, Fei Yang, Junzhou Huang |
| 2015 | IJCAI | Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information. | Cheng Deng, Zongting Lv, Wei Liu, Junzhou Huang, Dacheng Tao, Xinbo Gao |
| 2015 | MICCAI | Efficient 4D Non-local Tensor Total-Variation for Low-Dose CT Perfusion Deconvolution. | Ruogu Fang, Ming Ni, Junzhou Huang, Qianmu Li, Tao Li |
| 2015 | MICCAI | Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis. | Menglin Jiang, Shaoting Zhang, Junzhou Huang, Lin Yang, Dimitris N. Metaxas |
| 2015 | MICCAI | Fast Regions-of-Interest Detection in Whole Slide Histopathology Images. | Ruoyu Li, Junzhou Huang |
| 2015 | MICCAI | Fast Preconditioning for Accelerated Multi-contrast MRI Reconstruction. | Ruoyu Li, Yeqing Li, Ruogu Fang, Shaoting Zhang, Hao Pan, Junzhou Huang |
| 2015 | MICCAI | An Effective Approach for Robust Lung Cancer Cell Detection. | Hao Pan, Zheng Xu, Junzhou Huang |
| 2015 | MICCAI | Efficient Lung Cancer Cell Detection with Deep Convolution Neural Network. | Zheng Xu, Junzhou Huang |
| 2015 | MICCAI | Efficient Preconditioning in Joint Total Variation Regularized Parallel MRI Reconstruction. | Zheng Xu, Yeqing Li, Leon Axel, Junzhou Huang |
| 2015 | MICCAI | Computer-Assisted Diagnosis of Lung Cancer Using Quantitative Topology Features. | Jiawen Yao, Dheeraj Ganti, Xin Luo, Guanghua Xiao, Yang Xie, Shirley Yan, Junzhou Huang |
| 2015 | MICCAI | Accelerated Dynamic MRI Reconstruction with Total Variation and Nuclear Norm Regularization. | Jiawen Yao, Zheng Xu, Xiaolei Huang, Junzhou Huang |
| 2014 | AAAI | Sub-Selective Quantization for Large-Scale Image Search. | Yeqing Li, Chen Chen, Wei Liu, Junzhou Huang |
| 2014 | CVPR | Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction. | Chen Chen, Junzhou Huang, Lei He, Hongsheng Li |
| 2014 | CVPR | Image Fusion with Local Spectral Consistency and Dynamic Gradient Sparsity. | Chen Chen, Yeqing Li, Wei Liu, Junzhou Huang |
| 2014 | ICIP | Multimodal sparse representation classification with Fisher discriminative sample reduction. | Soheil Shafiee, Farhad Kamangar, Vassilis Athitsos, Junzhou Huang, Laleh Shikh Gholamhossein Ghandehari |
| 2014 | ICPR | O(1) Algorithms for Overlapping Group Sparsity. | Chen Chen, Zhongxing Peng, Junzhou Huang |
| 2014 | ICPR | Transformation-Invariant Collaborative Sub-representation. | Yeqing Li, Chen Chen, Junzhou Huang |
| 2014 | ICPR | Head Pose Estimation by Instance Parameterization. | Xi Peng, Junzhou Huang, Qiong Hu, Shaoting Zhang, Dimitris N. Metaxas |
| 2014 | MICCAI | Real Time Dynamic MRI with Dynamic Total Variation. | Chen Chen, Yeqing Li, Leon Axel, Junzhou Huang |
| 2014 | MICCAI | Instrument Tracking via Online Learning in Retinal Microsurgery. | Yeqing Li, Chen Chen, Xiaolei Huang, Junzhou Huang |
| 2013 | ICCV | 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 |
| 2013 | MICCAI | Calibrationless Parallel MRI with Joint Total Variation Regularization. | Chen Chen, Yeqing Li, Junzhou Huang |
| 2012 | CVPR | Learning active facial patches for expression analysis. | Lin Zhong, Qingshan Liu, Peng Yang, Bo Liu, Junzhou Huang, Dimitris N. Metaxas |
| 2012 | ECCV | Background Subtraction Using Low Rank and Group Sparsity Constraints. | Xinyi Cui, Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas |
| 2012 | ICIP | Robust face tracking with a consumer depth camera. | Fei Yang, Junzhou Huang, Xiang Yu, Xinyi Cui, Dimitris N. Metaxas |
| 2012 | ICIP | Robust eyelid tracking for fatigue detection. | Fei Yang, Xiang Yu, Junzhou Huang, Peng Yang, Dimitris N. Metaxas |
| 2012 | MICCAI | 3D Anatomical Shape Atlas Construction Using Mesh Quality Preserved Deformable Models. | Xinyi Cui, Shaoting Zhang, Yiqiang Zhan, Mingchen Gao, Junzhou Huang, Dimitris N. Metaxas |
| 2012 | MICCAI | Simplified Labeling Process for Medical Image Segmentation. | Mingchen Gao, Junzhou Huang, Xiaolei Huang, Shaoting Zhang, Dimitris N. Metaxas |
| 2012 | MICCAI | Fast Multi-contrast MRI Reconstruction. | Junzhou Huang, Chen Chen, Leon Axel |
| 2011 | ACSSC | On exploring sparsity in widely separated MIMO radar. | Athina P. Petropulu, Yao Yu, Junzhou Huang |
| 2011 | CVPR | Robust tracking using local sparse appearance model and K-selection. | Baiyang Liu, Junzhou Huang, Lin Yang, Casimir A. Kulikowski |
| 2011 | CVPR | Sparse shape composition: A new framework for shape prior modeling. | Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang, Dimitris N. Metaxas, Xiang Sean Zhou |
| 2011 | ICCV | Optimal object matching via convexification and composition. | Hongsheng Li, Junzhou Huang, Shaoting Zhang, Xiaolei Huang |
| 2011 | ICCV | A 3D Laplacian-driven parametric deformable model. | Tian Shen, Xiaolei Huang, Hongsheng Li, Edward Kim, Shaoting Zhang, Junzhou Huang |
| 2011 | MICCAI | 3D Segmentation of Rodent Brain Structures Using Hierarchical Shape Priors and Deformable Models. | Shaoting Zhang, Junzhou Huang, Mustafa Gkhan Uzunbas, Tian Shen, Foteini Delis, Xiaolei Huang, Nora D. Volkow, Panayotis K. Thanos, Dimitris N. Metaxas |
| 2011 | MICCAI | Deformable Segmentation via Sparse Shape Representation. | Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang, Dimitris N. Metaxas, Xiang Sean Zhou |
| 2010 | CVPR | Automatic image annotation using group sparsity. | Shaoting Zhang, Junzhou Huang, Yuchi Huang, Yang Yu, Hongsheng Li, Dimitris N. Metaxas |
| 2010 | ECCV | Fast Optimization for Mixture Prior Models. | Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas |
| 2010 | ECCV | Robust and Fast Collaborative Tracking with Two Stage Sparse Optimization. | Baiyang Liu, Lin Yang, Junzhou Huang, Peter Meer, Leiguang Gong, Casimir A. Kulikowski |
| 2010 | MICCAI | Efficient MR Image Reconstruction for Compressed MR Imaging. | Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas |
| 2009 | ICCV | Learning with dynamic group sparsity. | Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas |
| 2009 | ICML | Learning with structured sparsity. | Junzhou Huang, Tong Zhang, Dimitris N. Metaxas |
| 2008 | CVPR | Simultaneous image transformation and sparse representation recovery. | Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas |
| 2008 | MICCAI | Tag Separation in Cardiac Tagged MRI. | Junzhou Huang, Zhen Qian, Xiaolei Huang, Dimitris N. Metaxas, Leon Axel |
| 2008 | MICCAI | Active Volume Models with Probabilistic Object Boundary Prediction Module. | Tian Shen, Yaoyao Zhu, Xiaolei Huang, Junzhou Huang, Dimitris N. Metaxas, Leon Axel |
| 2007 | ICCV | Optimization and Learning for Registration of Moving Dynamic Textures. | Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas |
| 2007 | MICCAI | Adaptive Metamorphs Model for 3D Medical Image Segmentation. | Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas, Leon Axel |
| 2004 | ICIP | Noise removal and impainting model for IRIS image. | Junzhou Huang, Yunhong Wang, Jiali Cui, Tieniu Tan |
| 2004 | ICPR | An Iris Image Synthesis Method Based on PCA and Super-Resolution. | Jiali Cui, Yunhong Wang, Junzhou Huang, Tieniu Tan, Zhenan Sun |
| 2004 | ICPR | A New Iris Segmentation Method for Recognition. | Junzhou Huang, Yunhong Wang, Tieniu Tan, Jiali Cui |
| 2003 | BMVC | Learning Based Resolution Enhancement of Iris Images. | Junzhou Huang, Li Ma, Tieniu Tan, Yunhong Wang |