Su, Hang

111 publications

ICCV 2025 A Linear N-Point Solver for Structure and Motion from Asynchronous Tracks Hang Su, Yunlong Feng, Daniel Gehrig, Panfeng Jiang, Ling Gao, Xavier Lagorce, Laurent Kneip

ICML 2025 Accelerating PDE-Constrained Optimization by the Derivative of Neural Operators Ze Cheng, Zhuoyu Li, Wang Xiaoqiang, Jianing Huang, Zhizhou Zhang, Zhongkai Hao, Hang Su

ICCV 2025 AdvDreamer Unveils: Are Vision-Language Models Truly Ready for Real-World 3D Variations? Shouwei Ruan, Hanqing Liu, Yao Huang, Xiaoqi Wang, Caixin Kang, Hang Su, Yinpeng Dong, Xingxing Wei

ICML 2025 Graph Diffusion for Robust Multi-Agent Coordination Xianghua Zeng, Hang Su, Zhengyi Wang, Zhiyuan Lin

WACV 2025 HybridDepth: Robust Metric Depth Fusion by Leveraging Depth from Focus and Single-Image Priors Ashkan Ganj, Hang Su, Tian Guo

ECML-PKDD 2025 Knowledge Distillation for Job Title Prediction and Project Recommendation in Open Source Communities Xin Liu, Hang Su, Xuesong Lu

ICLR 2025 RDT-1B: A Diffusion Foundation Model for Bimanual Manipulation Songming Liu, Lingxuan Wu, Bangguo Li, Hengkai Tan, Huayu Chen, Zhengyi Wang, Ke Xu, Hang Su, Jun Zhu

IJCAI 2025 Self-Consistent Model-Based Adaptation for Visual Reinforcement Learning Xinning Zhou, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu

ICLR 2025 Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment Huayu Chen, Hang Su, Peize Sun, Jun Zhu

ICML 2025 Visual Generation Without Guidance Huayu Chen, Kai Jiang, Kaiwen Zheng, Jianfei Chen, Hang Su, Jun Zhu

CVPR 2025 Zero-Shot Monocular Scene Flow Estimation in the Wild Yiqing Liang, Abhishek Badki, Hang Su, James Tompkin, Orazio Gallo

NeurIPS 2024 Aligning Diffusion Behaviors with Q-Functions for Efficient Continuous Control Huayu Chen, Kaiwen Zheng, Hang Su, Jun Zhu

CVPR 2024 An N-Point Linear Solver for Line and Motion Estimation with Event Cameras Ling Gao, Daniel Gehrig, Hang Su, Davide Scaramuzza, Laurent Kneip

ECCV 2024 CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model Zhengyi Wang, Yikai Wang, Yifei Chen, Chendong Xiang, Shuo Chen, Dajiang Yu, Chongxuan Li, Hang Su, Jun Zhu

ECCV 2024 Controllable Contextualized Image Captioning: Directing the Visual Narrative Through User-Defined Highlights Shunqi Mao, Chaoyi Zhang, Hang Su, Hwanjun Song, Igor Shalyminov, Weidong Cai

ECCV 2024 Controllable Navigation Instruction Generation with Chain of Thought Prompting Xianghao Kong, Jinyu Chen, Wenguan Wang, Hang Su, Xiaolin Hu, Yi Yang, Si Liu

ECCV 2024 DIFFender: Diffusion-Based Adversarial Defense Against Patch Attacks Caixin Kang, Yinpeng Dong, Zhengyi Wang, Shouwei Ruan, Yubo Chen, Hang Su, Xingxing Wei

ICML 2024 DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training Zhongkai Hao, Chang Su, Songming Liu, Julius Berner, Chengyang Ying, Hang Su, Anima Anandkumar, Jian Song, Jun Zhu

NeurIPS 2024 Diffusion Models Are Certifiably Robust Classifiers Huanran Chen, Yinpeng Dong, Shitong Shao, Zhongkai Hao, Xiao Yang, Hang Su, Jun Zhu

ICLR 2024 Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches Lingxuan Wu, Xiao Yang, Yinpeng Dong, Liuwei Xie, Hang Su, Jun Zhu

CVPR 2024 Exploring the Transferability of Visual Prompting for Multimodal Large Language Models Yichi Zhang, Yinpeng Dong, Siyuan Zhang, Tianzan Min, Hang Su, Jun Zhu

ICML 2024 Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning Hengkai Tan, Songming Liu, Kai Ma, Chengyang Ying, Xingxing Zhang, Hang Su, Jun Zhu

NeurIPS 2024 Full-Distance Evasion of Pedestrian Detectors in the Physical World Zhi Cheng, Zhanhao Hu, Yuqiu Liu, Jianmin Li, Hang Su, Xiaolin Hu

ECCV 2024 Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Qing Jiang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang

ICML 2024 Improved Operator Learning by Orthogonal Attention Zipeng Xiao, Zhongkai Hao, Bokai Lin, Zhijie Deng, Hang Su

ECCV 2024 LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents Shilong Liu, Hao Cheng, Haotian Liu, Hao Zhang, Feng Li, Tianhe Ren, Xueyan Zou, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang, Jianfeng Gao, Chunyuan Li

ICML 2024 Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency Runqi Lin, Chaojian Yu, Bo Han, Hang Su, Tongliang Liu

ICML 2024 Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning Zhuo Huang, Chang Liu, Yinpeng Dong, Hang Su, Shibao Zheng, Tongliang Liu

NeurIPS 2024 Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy Shengfang Zhai, Huanran Chen, Yinpeng Dong, Jiajun Li, Qingni Shen, Yansong Gao, Hang Su, Yang Liu

NeurIPS 2024 MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models Yichi Zhang, Yao Huang, Yitong Sun, Chang Liu, Zhe Zhao, Zhengwei Fang, Yifan Wang, Huanran Chen, Xiao Yang, Xingxing Wei, Hang Su, Yinpeng Dong, Jun Zhu

NeurIPS 2024 Noise Contrastive Alignment of Language Models with Explicit Rewards Huayu Chen, Guande He, Lifan Yuan, Ganqu Cui, Hang Su, Jun Zhu

ECCV 2024 Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-Training Models Shouwei Ruan, Yinpeng Dong, Liu Hanqing, Yao Huang, Hang Su, Xingxing Wei

NeurIPS 2024 PEAC: Unsupervised Pre-Training for Cross-Embodiment Reinforcement Learning Chengyang Ying, Zhongkai Hao, Xinning Zhou, Xuezhou Xu, Hang Su, Xingxing Zhang, Jun Zhu

NeurIPS 2024 PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, Jun Zhu

ICML 2024 Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations Ze Cheng, Zhongkai Hao, Xiaoqiang Wang, Jianing Huang, Youjia Wu, Xudan Liu, Yiru Zhao, Songming Liu, Hang Su

ICLR 2024 Rethinking Model Ensemble in Transfer-Based Adversarial Attacks Huanran Chen, Yichi Zhang, Yinpeng Dong, Xiao Yang, Hang Su, Jun Zhu

ICML 2024 Robust Classification via a Single Diffusion Model Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu

ICLR 2024 Score Regularized Policy Optimization Through Diffusion Behavior Huayu Chen, Cheng Lu, Zhengyi Wang, Hang Su, Jun Zhu

CVPR 2024 Towards Transferable Targeted 3D Adversarial Attack in the Physical World Yao Huang, Yinpeng Dong, Shouwei Ruan, Xiao Yang, Hang Su, Xingxing Wei

ICCV 2023 A 5-Point Minimal Solver for Event Camera Relative Motion Estimation Ling Gao, Hang Su, Daniel Gehrig, Marco Cannici, Davide Scaramuzza, Laurent Kneip

CVPR 2023 All Are Worth Words: A ViT Backbone for Diffusion Models Fan Bao, Shen Nie, Kaiwen Xue, Yue Cao, Chongxuan Li, Hang Su, Jun Zhu

CVPR 2023 Benchmarking Robustness of 3D Object Detection to Common Corruptions Yinpeng Dong, Caixin Kang, Jinlai Zhang, Zijian Zhu, Yikai Wang, Xiao Yang, Hang Su, Xingxing Wei, Jun Zhu

ICLR 2023 Bi-Level Physics-Informed Neural Networks for PDE Constrained Optimization Using Broyden's Hypergradients Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Jian Song, Ze Cheng

ICCV 2023 COCO-O: A Benchmark for Object Detectors Under Natural Distribution Shifts Xiaofeng Mao, Yuefeng Chen, Yao Zhu, Da Chen, Hang Su, Rong Zhang, Hui Xue

ICML 2023 Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu

ICLR 2023 DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection Hao Zhang, Feng Li, Shilong Liu, Lei Zhang, Hang Su, Jun Zhu, Lionel Ni, Heung-Yeung Shum

AAAI 2023 DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding Shilong Liu, Shijia Huang, Feng Li, Hao Zhang, Yaoyuan Liang, Hang Su, Jun Zhu, Lei Zhang

ICCV 2023 Detection Transformer with Stable Matching Shilong Liu, Tianhe Ren, Jiayu Chen, Zhaoyang Zeng, Hao Zhang, Feng Li, Hongyang Li, Jun Huang, Hang Su, Jun Zhu, Lei Zhang

ICML 2023 GNOT: A General Neural Operator Transformer for Operator Learning Zhongkai Hao, Zhengyi Wang, Hang Su, Chengyang Ying, Yinpeng Dong, Songming Liu, Ze Cheng, Jian Song, Jun Zhu

NeurIPS 2023 Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-Optimality Liyuan Wang, Jingyi Xie, Xingxing Zhang, Mingyi Huang, Hang Su, Jun Zhu

NeurIPSW 2023 How Robust Is Google's Bard to Adversarial Image Attacks? Yinpeng Dong, Huanran Chen, Jiawei Chen, Zhengwei Fang, Xiao Yang, Yichi Zhang, Yu Tian, Hang Su, Jun Zhu

AAAI 2023 Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning Mingyang Wang, Zhenshan Bing, Xiangtong Yao, Shuai Wang, Kai Huang, Hang Su, Chenguang Yang, Alois Knoll

ICML 2023 MultiAdam: Parameter-Wise Scale-Invariant Optimizer for Multiscale Training of Physics-Informed Neural Networks Jiachen Yao, Chang Su, Zhongkai Hao, Songming Liu, Hang Su, Jun Zhu

ICML 2023 NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu

ICLR 2023 Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu

IJCAI 2023 On the Reuse Bias in Off-Policy Reinforcement Learning Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Dong Yan, Jun Zhu

ICML 2023 One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu

NeurIPS 2023 Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation Yilin Lyu, Liyuan Wang, Xingxing Zhang, Zicheng Sun, Hang Su, Jun Zhu, Liping Jing

NeurIPS 2023 ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu

CVPR 2023 Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition Xiao Yang, Chang Liu, Longlong Xu, Yikai Wang, Yinpeng Dong, Ning Chen, Hang Su, Jun Zhu

ICCV 2023 Towards Viewpoint-Invariant Visual Recognition via Adversarial Training Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei

NeurIPSW 2023 Towards a General Framework for Continual Learning with Pre-Training Liyuan Wang, Jingyi Xie, Xingxing Zhang, Hang Su, Jun Zhu

NeurIPS 2022 A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs Songming Liu, Hao Zhongkai, Chengyang Ying, Hang Su, Jun Zhu, Ze Cheng

ECCV 2022 Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu

IJCAI 2022 Cluster Attack: Query-Based Adversarial Attacks on Graph with Graph-Dependent Priors Zhengyi Wang, Zhongkai Hao, Ziqiao Wang, Hang Su, Jun Zhu

ICLR 2022 DAB-DETR: Dynamic Anchor Boxes Are Better Queries for DETR Shilong Liu, Feng Li, Hao Zhang, Xiao Yang, Xianbiao Qi, Hang Su, Jun Zhu, Lei Zhang

ICLR 2022 Exploring Memorization in Adversarial Training Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu

ICML 2022 GSmooth: Certified Robustness Against Semantic Transformations via Generalized Randomized Smoothing Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jian Song, Jun Zhu

AAAI 2022 Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model Jialian Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu

MLOSS 2022 Tianshou: A Highly Modularized Deep Reinforcement Learning Library Jiayi Weng, Huayu Chen, Dong Yan, Kaichao You, Alexis Duburcq, Minghao Zhang, Yi Su, Hang Su, Jun Zhu

IJCAI 2022 Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk Chengyang Ying, Xinning Zhou, Hang Su, Dong Yan, Ning Chen, Jun Zhu

CVPR 2022 Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu

NeurIPS 2022 ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints Yinpeng Dong, Shouwei Ruan, Hang Su, Caixin Kang, Xingxing Wei, Jun Zhu

NeurIPS 2021 Accumulative Poisoning Attacks on Real-Time Data Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu

ICLR 2021 Bag of Tricks for Adversarial Training Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu

ICCV 2021 Black-Box Detection of Backdoor Attacks with Limited Information and Data Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu

IJCAI 2021 Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu Yunsheng Zhang, Dong Yan, Bei Shi, Haobo Fu, Qiang Fu, Hang Su, Jun Zhu, Ning Chen

AAAI 2021 Composite Adversarial Attacks Xiaofeng Mao, Yuefeng Chen, Shuhui Wang, Hang Su, Yuan He, Hui Xue

AAAI 2021 Learning Task-Distribution Reward Shaping with Meta-Learning Haosheng Zou, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu

CVPR 2021 LiBRe: A Practical Bayesian Approach to Adversarial Detection Zhijie Deng, Xiao Yang, Shizhen Xu, Hang Su, Jun Zhu

CVPR 2021 QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval Xiaodan Li, Jinfeng Li, Yuefeng Chen, Shaokai Ye, Yuan He, Shuhui Wang, Hang Su, Hui Xue

ICCV 2021 Towards Face Encryption by Generating Adversarial Identity Masks Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu, Yuefeng Chen, Hui Xue

CVPR 2021 Unsupervised Part Segmentation Through Disentangling Appearance and Shape Shilong Liu, Lei Zhang, Xiao Yang, Hang Su, Jun Zhu

NeurIPS 2020 Adversarial Distributional Training for Robust Deep Learning Yinpeng Dong, Zhijie Deng, Tianyu Pang, Jun Zhu, Hang Su

ICLR 2020 Adversarially Robust Neural Networks via Optimal Control: Bridging Robustness with Lyapunov Stability Zhiyang Chen, Hang Su

NeurIPS 2020 Bi-Level Score Matching for Learning Energy-Based Latent Variable Models Fan Bao, Chongxuan Li, Kun Xu, Hang Su, Jun Zhu, Bo Zhang

NeurIPS 2020 Boosting Adversarial Training with Hypersphere Embedding Tianyu Pang, Xiao Yang, Yinpeng Dong, Kun Xu, Jun Zhu, Hang Su

ECCV 2020 Defense Against Adversarial Attacks via Controlling Gradient Leaking on Embedded Manifolds Yueru Li, Shuyu Cheng, Hang Su, Jun Zhu

AAAI 2020 Dynamic Network Pruning with Interpretable Layerwise Channel Selection Yulong Wang, Xiaolu Zhang, Xiaolin Hu, Bo Zhang, Hang Su

AAAI 2020 Pruning from Scratch Yulong Wang, Xiaolu Zhang, Lingxi Xie, Jun Zhou, Hang Su, Bo Zhang, Xiaolin Hu

ICLR 2020 SVQN: Sequential Variational Soft Q-Learning Networks Shiyu Huang, Hang Su, Jun Zhu, Ting Chen

ECCV 2020 Training Interpretable Convolutional Neural Networks by Differentiating Class-Specific Filters Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang

AAAI 2019 Combo-Action: Training Agent for FPS Game with Auxiliary Tasks Shiyu Huang, Hang Su, Jun Zhu, Ting Chen

CVPRW 2019 Half&Half: New Tasks and Benchmarks for Studying Visual Common Sense Ashish Singh, Hang Su, SouYoung Jin, Huaizu Jiang, Chetan Manjesh, Geng Luo, Ziwei He, Li Hong, Erik G. Learned-Miller, Rosie Cowell

NeurIPS 2019 Improving Black-Box Adversarial Attacks with a Transfer-Based Prior Shuyu Cheng, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu

IJCAI 2019 Playing FPS Games with Environment-Aware Hierarchical Reinforcement Learning Shihong Song, Jiayi Weng, Hang Su, Dong Yan, Haosheng Zou, Jun Zhu

AAAI 2019 Sparse Adversarial Perturbations for Videos Xingxing Wei, Jun Zhu, Sha Yuan, Hang Su

AAAI 2018 Graph Correspondence Transfer for Person Re-Identification Qin Zhou, Heng Fan, Shibao Zheng, Hang Su, Xinzhe Li, Shuang Wu, Haibin Ling

IJCAI 2018 Learning to Write Stylized Chinese Characters by Reading a Handful of Examples Danyang Sun, Tongzheng Ren, Chongxuan Li, Hang Su, Jun Zhu

AAAI 2018 Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process Haosheng Zou, Hang Su, Shihong Song, Jun Zhu

WACV 2017 Deep Learning Logo Detection with Data Expansion by Synthesising Context Hang Su, Xiatian Zhu, Shaogang Gong

ICCV 2017 End-to-End Face Detection and Cast Grouping in Movies Using Erdos-Renyi Clustering SouYoung Jin, Hang Su, Chris Stauffer, Erik Learned-Miller

IJCAI 2017 Forecast the Plausible Paths in Crowd Scenes Hang Su, Jun Zhu, Yinpeng Dong, Bo Zhang

CVPR 2017 Improving Interpretability of Deep Neural Networks with Semantic Information Yinpeng Dong, Hang Su, Jun Zhu, Bo Zhang

IJCAI 2017 Semi-Supervised Max-Margin Topic Model with Manifold Posterior Regularization Wenbo Hu, Jun Zhu, Hang Su, Jingwei Zhuo, Bo Zhang

ICCVW 2017 WebLogo-2m: Scalable Logo Detection by Deep Learning from the Web Hang Su, Shaogang Gong, Xiatian Zhu

IJCAI 2016 Crowd Scene Understanding with Coherent Recurrent Neural Networks Hang Su, Yinpeng Dong, Jun Zhu, Haibin Ling, Bo Zhang

ECCV 2016 Efficient and Robust Semi-Supervised Learning over a Sparse-Regularized Graph Hang Su, Jun Zhu, Zhaozheng Yin, Yinpeng Dong, Bo Zhang

CVPRW 2016 Neuron Segmentation Based on CNN with Semi-Supervised Regularization Kun Xu, Hang Su, Jun Zhu, Ji-Song Guan, Bo Zhang

CVPR 2015 Active Sample Selection and Correction Propagation on a Gradually-Augmented Graph Hang Su, Zhaozheng Yin, Takeo Kanade, Seungil Huh

ICCV 2015 Multi-View Convolutional Neural Networks for 3D Shape Recognition Hang Su, Subhransu Maji, Evangelos Kalogerakis, Erik Learned-Miller