Hu, Han

101 publications

ICLR 2026 AgentMath: Empowering Mathematical Reasoning for Large Language Models via Tool-Augmented Agent Haipeng Luo, Huawen Feng, Qingfeng Sun, Can Xu, Kai Zheng, Yufei Wang, Tao Yang, Han Hu, Yansong Tang

ICLR 2026 Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs Yi Zhang, Bolin Ni, Xin-Sheng Chen, Hengrui Zhang, Yongming Rao, Houwen Peng, Qinglin Lu, Han Hu, Meng-Hao Guo, Shi-min Hu

TMLR 2026 Subspace Based Federated Unlearning Guanghao Li, Li Shen, Yan Sun, Yue Hu, Han Hu, Dacheng Tao

ICLR 2026 WebDevJudge: Evaluating (M)LLMs as Critiques for Web Development Quality Chunyang Li, Yilun Zheng, Xinting Huang, Tianqing Fang, Jiahao Xu, Lihui Chen, Yangqiu Song, Han Hu

ICLR 2025 BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions Terry Yue Zhuo, Vu Minh Chien, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, James Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, Binyuan Hui, Niklas Muennighoff, David Lo, Daniel Fried, Xiaoning Du, Harm de Vries, Leandro Von Werra

AAAI 2025 Cross-Silo Feature Space Alignment for Federated Learning on Clients with Imbalanced Data Zhuang Qi, Lei Meng, Zhaochuan Li, Han Hu, Xiangxu Meng

WACV 2025 DeepMIM: Deep Supervision for Masked Image Modeling Sucheng Ren, Fangyun Wei, Samuel Albanie, Zheng Zhang, Han Hu

NeurIPS 2025 Efficient Federated Learning Against Byzantine Attacks and Data Heterogeneity via Aggregating Normalized Gradients Shiyuan Zuo, Xingrun Yan, Rongfei Fan, Li Shen, Puning Zhao, Jie Xu, Han Hu

IJCAI 2025 Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization Zhuang Qi, Sijin Zhou, Lei Meng, Han Hu, Han Yu, Xiangxu Meng

NeurIPS 2025 Merging on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging Anke Tang, Enneng Yang, Li Shen, Yong Luo, Han Hu, Lefei Zhang, Bo Du, Dacheng Tao

NeurIPS 2025 MixPrompt: Efficient Mixed Prompting for Multimodal Semantic Segmentation Zhiwei Hao, Zhongyu Xiao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Dan Zeng

ICCV 2025 Neural Architecture Search Driven by Locally Guided Diffusion for Personalized Federated Learning Peng Liao, Xilu Wang, Yaochu Jin, Wenli Du, Han Hu

CVPR 2025 Noise-Resistant Video Anomaly Detection via RGB Error-Guided Multiscale Predictive Coding and Dynamic Memory Han Hu, Wenli Du, Peng Liao, Bing Wang, Siyuan Fan

NeurIPS 2025 RBench-V: A Primary Assessment for Visual Reasoning Models with Multimodal Outputs Meng-Hao Guo, Xuanyu Chu, Qianrui Yang, Zhe-Han Mo, Yiqing Shen, Pei-lin Li, Xinjie Lin, Jinnian Zhang, Xin-Sheng Chen, Yi Zhang, Kiyohiro Nakayama, Zhengyang Geng, Houwen Peng, Han Hu, Shi-min Hu

ICML 2025 RBench: Graduate-Level Multi-Disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation Meng-Hao Guo, Jiajun Xu, Yi Zhang, Jiaxi Song, Haoyang Peng, Yi-Xuan Deng, Xinzhi Dong, Kiyohiro Nakayama, Zhengyang Geng, Chen Wang, Bolin Ni, Guo-Wei Yang, Yongming Rao, Houwen Peng, Han Hu, Gordon Wetzstein, Shi-Min Hu

ICLR 2025 Revisit the Open Nature of Open Vocabulary Semantic Segmentation Qiming Huang, Han Hu, Jianbo Jiao

NeurIPS 2025 Self-Evolving Pseudo-Rehearsal for Catastrophic Forgetting with Task Similarity in LLMs Jun Wang, Liang Ding, Shuai Wang, Hongyu Li, Yong Luo, Huangxuan Zhao, Han Hu, Bo Du

ICML 2025 Targeted Low-Rank Refinement: Enhancing Sparse Language Models with Precision Li Shen, Anke Tang, Yong Luo, Tao Sun, Han Hu, Xiaochun Cao

TMLR 2025 What Time Tells Us? an Explorative Study of Time Awareness Learned from Static Images Dongheng Lin, Han Hu, Jianbo Jiao

ICML 2024 Data-Efficient Large Vision Models Through Sequential Autoregression Zhiwei Hao, Jianyuan Guo, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu

ICLR 2024 GAIA: Zero-Shot Talking Avatar Generation Tianyu He, Junliang Guo, Runyi Yu, Yuchi Wang, Jialiang Zhu, Kaikai An, Leyi Li, Xu Tan, Chunyu Wang, Han Hu, HsiangTao Wu, Sheng Zhao, Jiang Bian

CVPR 2024 InstructDiffusion: A Generalist Modeling Interface for Vision Tasks Zigang Geng, Binxin Yang, Tiankai Hang, Chen Li, Shuyang Gu, Ting Zhang, Jianmin Bao, Zheng Zhang, Houqiang Li, Han Hu, Dong Chen, Baining Guo

IJCAI 2024 Joint Input and Output Coordination for Class-Incremental Learning Shuai Wang, Yibing Zhan, Yong Luo, Han Hu, Wei Yu, Yonggang Wen, Dacheng Tao

CVPR 2024 MotionEditor: Editing Video Motion via Content-Aware Diffusion Shuyuan Tu, Qi Dai, Zhi-Qi Cheng, Han Hu, Xintong Han, Zuxuan Wu, Yu-Gang Jiang

CVPR 2024 Multiple View Geometry Transformers for 3D Human Pose Estimation Ziwei Liao, Jialiang Zhu, Chunyu Wang, Han Hu, Steven L. Waslander

CVPR 2024 POCE: Primal Policy Optimization with Conservative Estimation for Multi-Constraint Offline Reinforcement Learning Jiayi Guan, Li Shen, Ao Zhou, Lusong Li, Han Hu, Xiaodong He, Guang Chen, Changjun Jiang

ICLR 2024 Parameter-Efficient Multi-Task Model Fusion with Partial Linearization Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao

CVPR 2024 Segment and Caption Anything Xiaoke Huang, Jianfeng Wang, Yansong Tang, Zheng Zhang, Han Hu, Jiwen Lu, Lijuan Wang, Zicheng Liu

CVPR 2024 SimDA: Simple Diffusion Adapter for Efficient Video Generation Zhen Xing, Qi Dai, Han Hu, Zuxuan Wu, Yu-Gang Jiang

WACV 2024 Unsupervised Graphic Layout Grouping with Transformers Jialiang Zhu, Danqing Huang, Chunyu Wang, Mingxi Cheng, Ji Li, Han Hu, Xin Geng, Baining Guo

ICLR 2024 V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection Yichao Shen, Zigang Geng, Yuhui Yuan, Yutong Lin, Ze Liu, Chunyu Wang, Han Hu, Nanning Zheng, Baining Guo

ICCV 2023 All in Tokens: Unifying Output Space of Visual Tasks via Soft Token Jia Ning, Chen Li, Zheng Zhang, Chunyu Wang, Zigang Geng, Qi Dai, Kun He, Han Hu

ICCV 2023 Attentive Mask CLIP Yifan Yang, Weiquan Huang, Yixuan Wei, Houwen Peng, Xinyang Jiang, Huiqiang Jiang, Fangyun Wei, Yin Wang, Han Hu, Lili Qiu, Yuqing Yang

ICCVW 2023 ClipCrop: Conditioned Cropping Driven by Vision-Language Model Zhihang Zhong, Mingxi Cheng, Zhirong Wu, Yuhui Yuan, Yinqiang Zheng, Ji Li, Han Hu, Stephen Lin, Yoichi Sato, Imari Sato

ICCV 2023 DETR Does Not Need Multi-Scale or Locality Design Yutong Lin, Yuhui Yuan, Zheng Zhang, Chen Li, Nanning Zheng, Han Hu

CVPR 2023 DETRs with Hybrid Matching Ding Jia, Yuhui Yuan, Haodi He, Xiaopei Wu, Haojun Yu, Weihong Lin, Lei Sun, Chao Zhang, Han Hu

ICCV 2023 Efficient Diffusion Training via Min-SNR Weighting Strategy Tiankai Hang, Shuyang Gu, Chen Li, Jianmin Bao, Dong Chen, Han Hu, Xin Geng, Baining Guo

CVPR 2023 EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention Xinyu Liu, Houwen Peng, Ningxin Zheng, Yuqing Yang, Han Hu, Yixuan Yuan

AAAI 2023 FedABC: Targeting Fair Competition in Personalized Federated Learning Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao

NeurIPS 2023 Federated Learning with Manifold Regularization and Normalized Update Reaggregation Xuming An, Li Shen, Han Hu, Yong Luo

NeurIPS 2023 GlyphControl: Glyph Conditional Control for Visual Text Generation Yukang Yang, Dongnan Gui, Yuhui Yuan, Weicong Liang, Haisong Ding, Han Hu, Kai Chen

CVPR 2023 Human Pose as Compositional Tokens Zigang Geng, Chunyu Wang, Yixuan Wei, Ze Liu, Houqiang Li, Han Hu

NeurIPS 2023 ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation Ya Sheng Sun, Yifan Yang, Houwen Peng, Yifei Shen, Yuqing Yang, Han Hu, Lili Qiu, Hideki Koike

ICCV 2023 Implicit Temporal Modeling with Learnable Alignment for Video Recognition Shuyuan Tu, Qi Dai, Zuxuan Wu, Zhi-Qi Cheng, Han Hu, Yu-Gang Jiang

ICCV 2023 Improving CLIP Fine-Tuning Performance Yixuan Wei, Han Hu, Zhenda Xie, Ze Liu, Zheng Zhang, Yue Cao, Jianmin Bao, Dong Chen, Baining Guo

IJCAI 2023 Improving Heterogeneous Model Reuse by Density Estimation Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao

ICCV 2023 Mask-Attention-Free Transformer for 3D Instance Segmentation Xin Lai, Yuhui Yuan, Ruihang Chu, Yukang Chen, Han Hu, Jiaya Jia

CVPR 2023 On Data Scaling in Masked Image Modeling Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Yixuan Wei, Qi Dai, Han Hu

NeurIPS 2023 One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation Zhiwei Hao, Jianyuan Guo, Kai Han, Yehui Tang, Han Hu, Yunhe Wang, Chang Xu

NeurIPS 2023 Pairwise GUI Dataset Construction Between Android Phones and Tablets Han Hu, Haolan Zhan, Yujin Huang, Di Liu

NeurIPS 2023 Rank-DETR for High Quality Object Detection Yifan Pu, Weicong Liang, Yiduo Hao, Yuhui Yuan, Yukang Yang, Chao Zhang, Han Hu, Gao Huang

CVPR 2023 ResFormer: Scaling ViTs with Multi-Resolution Training Rui Tian, Zuxuan Wu, Qi Dai, Han Hu, Yu Qiao, Yu-Gang Jiang

CVPR 2023 Revealing the Dark Secrets of Masked Image Modeling Zhenda Xie, Zigang Geng, Jingcheng Hu, Zheng Zhang, Han Hu, Yue Cao

NeurIPS 2023 Revisit the Power of Vanilla Knowledge Distillation: From Small Scale to Large Scale Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang

CVPR 2023 SVFormer: Semi-Supervised Video Transformer for Action Recognition Zhen Xing, Qi Dai, Han Hu, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang

CVPR 2023 SeqTrack: Sequence to Sequence Learning for Visual Object Tracking Xin Chen, Houwen Peng, Dong Wang, Huchuan Lu, Han Hu

CVPR 2023 Side Adapter Network for Open-Vocabulary Semantic Segmentation Mengde Xu, Zheng Zhang, Fangyun Wei, Han Hu, Xiang Bai

ICCV 2023 TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance Kan Wu, Houwen Peng, Zhenghong Zhou, Bin Xiao, Mengchen Liu, Lu Yuan, Hong Xuan, Michael Valenzuela, Xi Chen, Xinggang Wang, Hongyang Chao, Han Hu

CVPR 2023 TinyMIM: An Empirical Study of Distilling MIM Pre-Trained Models Sucheng Ren, Fangyun Wei, Zheng Zhang, Han Hu

CVPR 2023 iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual Recognition Yixuan Wei, Yue Cao, Zheng Zhang, Houwen Peng, Zhuliang Yao, Zhenda Xie, Han Hu, Baining Guo

ECCV 2022 A Simple Approach and Benchmark for 21,000-Category Object Detection Yutong Lin, Chen Li, Yue Cao, Zheng Zhang, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Han Hu

ECCV 2022 A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-Trained Vision-Language Model Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Han Hu, Xiang Bai

NeurIPS 2022 Could Giant Pre-Trained Image Models Extract Universal Representations? Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao

NeurIPS 2022 Expediting Large-Scale Vision Transformer for Dense Prediction Without Fine-Tuning Weicong Liang, Yuhui Yuan, Henghui Ding, Xiao Luo, Weihong Lin, Ding Jia, Zheng Zhang, Chao Zhang, Han Hu

NeurIPS 2022 Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation Zhiwei Hao, Jianyuan Guo, Ding Jia, Kai Han, Yehui Tang, Chao Zhang, Han Hu, Yunhe Wang

CoLLAs 2022 Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning Phung Lai, Han Hu, Hai Phan, Ruoming Jin, My Thai, An Chen

ECCV 2022 RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation Haodi He, Yuhui Yuan, Xiangyu Yue, Han Hu

CVPR 2022 SimMIM: A Simple Framework for Masked Image Modeling Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai, Han Hu

CVPR 2022 Swin Transformer V2: Scaling up Capacity and Resolution Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo

CVPR 2022 Video Swin Transformer Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, Han Hu

NeurIPS 2021 Aligning Pretraining for Detection via Object-Level Contrastive Learning Fangyun Wei, Yue Gao, Zhirong Wu, Han Hu, Stephen Lin

NeurIPS 2021 Bootstrap Your Object Detector via Mixed Training Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Stephen Lin, Han Hu, Xiang Bai

CVPR 2021 Capsule Network Is Not More Robust than Convolutional Network Jindong Gu, Volker Tresp, Han Hu

ICCV 2021 End-to-End Semi-Supervised Object Detection with Soft Teacher Mengde Xu, Zheng Zhang, Han Hu, Jianfeng Wang, Lijuan Wang, Fangyun Wei, Xiang Bai, Zicheng Liu

ICCV 2021 Group-Free 3D Object Detection via Transformers Ze Liu, Zheng Zhang, Yue Cao, Han Hu, Xin Tong

ICCVW 2021 Leveraging Batch Normalization for Vision Transformers Zhuliang Yao, Yue Cao, Yutong Lin, Ze Liu, Zheng Zhang, Han Hu

CVPR 2021 Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, Han Hu

NeurIPS 2021 Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning Hanzhe Hu, Fangyun Wei, Han Hu, Qiwei Ye, Jinshi Cui, Liwei Wang

ICCV 2021 Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo

ECCV 2020 A Closer Look at Local Aggregation Operators in Point Cloud Analysis Ze Liu, Han Hu, Yue Cao, Zheng Zhang, Xin Tong

ECCV 2020 Dense RepPoints: Representing Visual Objects with Dense Point Sets Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang Raquel Urtasun, Liwei Wang, Stephen Lin, Han Hu

ECCV 2020 Disentangled Non-Local Neural Networks Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu

CVPR 2020 Memory Enhanced Global-Local Aggregation for Video Object Detection Yihong Chen, Yue Cao, Han Hu, Liwei Wang

ECCV 2020 Negative Margin Matters: Understanding Margin in Few-Shot Classification Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu

NeurIPS 2020 Parametric Instance Classification for Unsupervised Visual Feature Learning Yue Cao, Zhenda Xie, Bin Liu, Yutong Lin, Zheng Zhang, Han Hu

NeurIPS 2020 RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder Cheng Chi, Fangyun Wei, Han Hu

NeurIPS 2020 RepPoints V2: Verification Meets Regression for Object Detection Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu

ICML 2020 Scalable Differential Privacy with Certified Robustness in Adversarial Learning Hai Phan, My T. Thai, Han Hu, Ruoming Jin, Tong Sun, Dejing Dou

ICCVW 2019 Deep Metric Transfer for Label Propagation with Limited Annotated Data Bin Liu, Zhirong Wu, Han Hu, Stephen Lin

CVPR 2019 Deformable ConvNets V2: More Deformable, Better Results Xizhou Zhu, Han Hu, Stephen Lin, Jifeng Dai

ICCVW 2019 GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu

ICCV 2019 Local Relation Networks for Image Recognition Han Hu, Zheng Zhang, Zhenda Xie, Stephen Lin

ICCV 2019 RepPoints: Point Set Representation for Object Detection Ze Yang, Shaohui Liu, Han Hu, Liwei Wang, Stephen Lin

ICCV 2019 Spatial-Temporal Relation Networks for Multi-Object Tracking Jiarui Xu, Yue Cao, Zheng Zhang, Han Hu

ECCV 2018 Learning Region Features for Object Detection Jiayuan Gu, Han Hu, Liwei Wang, Yichen Wei, Jifeng Dai

CVPR 2018 Relation Networks for Object Detection Han Hu, Jiayuan Gu, Zheng Zhang, Jifeng Dai, Yichen Wei

ICCV 2017 Deformable Convolutional Networks Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, Yichen Wei

ICCV 2017 WordSup: Exploiting Word Annotations for Character Based Text Detection Han Hu, Chengquan Zhang, Yuxuan Luo, Yuzhuo Wang, Junyu Han, Errui Ding

CVPR 2014 Smooth Representation Clustering Han Hu, Zhouchen Lin, Jianjiang Feng, Jie Zhou

CVPR 2013 Pose from Flow and Flow from Pose Katerina Fragkiadaki, Han Hu, Jianbo Shi

CVPR 2010 Trajectory Matching from Unsynchronized Videos Han Hu, Jie Zhou