Hang Su

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 206

Top Venues

Publications

Hengkai Tan, Songming Liu, Kai Ma, Chengyang Ying, Xingxing Zhang, Hang Su, Jun Zhu
Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning. CoRR (2024)
Yu Tian, Xiao Yang, Yinpeng Dong, Heming Yang, Hang Su, Jun Zhu
BSPA: Exploring Black-box Stealthy Prompt Attacks against Image Generators. CoRR (2024)
Huayu Chen, Cheng Lu, Zhengyi Wang, Hang Su, Jun Zhu
Score Regularized Policy Optimization through Diffusion Behavior. ICLR (2024)
Bowen Sun, Hang Su, Shibao Zheng
Black-box attacks on face recognition via affine-invariant training. Neural Comput. Appl. 36 (15) (2024)
Ke Su, Hang Su, Chongxuan Li, Jun Zhu, Bo Zhang
Probabilistic Neural-Symbolic Models With Inductive Posterior Constraints. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Huanran Chen, Yichi Zhang, Yinpeng Dong, Xiao Yang, Hang Su, Jun Zhu
Rethinking Model Ensemble in Transfer-based Adversarial Attacks. ICLR (2024)
Liyuan Wang, Jingyi Xie, Xingxing Zhang, Hang Su, Jun Zhu
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning. CoRR (2024)
Lingxuan Wu, Xiao Yang, Yinpeng Dong, Liuwei Xie, Hang Su, Jun Zhu
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches. ICLR (2024)
Zhengyi Wang, Yikai Wang, Yifei Chen, Chendong Xiang, Shuo Chen, Dajiang Yu, Chongxuan Li, Hang Su, Jun Zhu
CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model. CoRR (2024)
Jiawei Chen, Xiao Yang, Zhengwei Fang, Yu Tian, Yinpeng Dong, Zhaoxia Yin, Hang Su
AutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization. CoRR (2024)
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
Benchmarking Trustworthiness of Multimodal Large Language Models: A Comprehensive Study. CoRR (2024)
Xianghao Kong, Jinyu Chen, Wenguan Wang, Hang Su, Xiaolin Hu, Yi Yang, Si Liu
Controllable Navigation Instruction Generation with Chain of Thought Prompting. CoRR (2024)
Runqi Lin, Chaojian Yu, Bo Han, Hang Su, Tongliang Liu
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency. CoRR (2024)
Luxi Chen, Zhengyi Wang, Chongxuan Li, Tingting Gao, Hang Su, Jun Zhu
MicroDreamer: Zero-shot 3D Generation in ~20 Seconds by Score-based Iterative Reconstruction. CoRR (2024)
Liyuan Wang, Xingxing Zhang, Hang Su, Jun Zhu
A Comprehensive Survey of Continual Learning: Theory, Method and Application. IEEE Trans. Pattern Anal. Mach. Intell. 46 (8) (2024)
Lingxuan Wu, Xiao Yang, Yinpeng Dong, Liuwei Xie, Hang Su, Jun Zhu
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches. CoRR (2024)
Shengfang Zhai, Weilong Wang, Jiajun Li, Yinpeng Dong, Hang Su, Qingni Shen
Discovering Universal Semantic Triggers for Text-to-Image Synthesis. CoRR (2024)
Chendong Xiang, Armando Teles Fortes, Khang Hui Chua, Hang Su, Jun Zhu
FeedFace: Efficient Inference-based Face Personalization via Diffusion Models. Tiny Papers @ ICLR (2024)
Zhongkai Hao, Chang Su, Songming Liu, Julius Berner, Chengyang Ying, Hang Su, Anima Anandkumar, Jian Song, Jun Zhu
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training. CoRR (2024)
Hai Chen, Fulan Qian, Chang Liu, Yanping Zhang, Hang Su, Shu Zhao
Training Robust Deep Collaborative Filtering Models via Adversarial Noise Propagation. ACM Trans. Inf. Syst. 42 (1) (2024)
Shengfang Zhai, Huanran Chen, Yinpeng Dong, Jiajun Li, Qingni Shen, Yansong Gao, Hang Su, Yang Liu
Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy. CoRR (2024)
Shuyuan Liu, Jiawei Chen, Shouwei Ruan, Hang Su, Zhaoxia Yin
Exploring the Robustness of Decision-Level Through Adversarial Attacks on LLM-Based Embodied Models. CoRR (2024)
Shouwei Ruan, Yinpeng Dong, Hanqing Liu, Yao Huang, Hang Su, Xingxing Wei
Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models. CoRR (2024)
You Qiaoben, Chengyang Ying, Xinning Zhou, Hang Su, Jun Zhu, Bo Zhang
Understanding adversarial attacks on observations in deep reinforcement learning. Sci. China Inf. Sci. 67 (5) (2024)
Chengyang Ying, Zhongkai Hao, Xinning Zhou, Xuezhou Xu, Hang Su, Xingxing Zhang, Jun Zhu
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning. CoRR (2024)
Yichi Zhang, Yinpeng Dong, Siyuan Zhang, Tianzan Min, Hang Su, Jun Zhu
Exploring the Transferability of Visual Prompting for Multimodal Large Language Models. CoRR (2024)
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation. NeurIPS (2023)
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
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents. CoRR (2023)
Xingxing Wei, Shouwei Ruan, Yinpeng Dong, Hang Su
Distributional Modeling for Location-Aware Adversarial Patches. CoRR (2023)
Yichi Zhang, Zijian Zhu, Hang Su, Jun Zhu, Shibao Zheng, Yuan He, Hui Xue
To Make Yourself Invisible with Adversarial Semantic Contours. CoRR (2023)
Zipeng Xiao, Zhongkai Hao, Bokai Lin, Zhijie Deng, Hang Su
Improved Operator Learning by Orthogonal Attention. CoRR (2023)
Zhuo Huang, Chang Liu, Yinpeng Dong, Hang Su, Shibao Zheng, Tongliang Liu
Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning. CoRR (2023)
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation. CoRR (2023)
Yinpeng Dong, Huanran Chen, Jiawei Chen, Zhengwei Fang, Xiao Yang, Yichi Zhang, Yu Tian, Hang Su, Jun Zhu
How Robust is Google's Bard to Adversarial Image Attacks? CoRR (2023)
Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei
Improving Viewpoint Robustness for Visual Recognition via Adversarial Training. CoRR (2023)
Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling. ICLR (2023)
Jiachen Yao, Chang Su, Zhongkai Hao, Songming Liu, Hang Su, Jun Zhu
MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks. ICML (2023)
Mingzhi Ma, Weijie Zheng, Wanli Lv, Lu Ren, Hang Su, Zhaoxia Yin
Multi-Label Adversarial Attack Based on Label Correlation. ICIP (2023)
Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Jian Song, Ze Cheng
Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients. ICLR (2023)
Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training. CoRR (2023)
Fan Bao, Shen Nie, Kaiwen Xue, Yue Cao, Chongxuan Li, Hang Su, Jun Zhu
All are Worth Words: A ViT Backbone for Diffusion Models. CVPR (2023)
Hao Zhang, Feng Li, Shilong Liu, Lei Zhang, Hang Su, Jun Zhu, Lionel M. Ni, Heung-Yeung Shum
DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection. ICLR (2023)
Xiaofeng Mao, Yuefeng Chen, Yao Zhu, Da Chen, Hang Su, Rong Zhang, Hui Xue
COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts. CoRR (2023)
Chengyang Ying, You Qiaoben, Xinning Zhou, Hang Su, Wenbo Ding, Jianyong Ai
Consistent attack: Universal adversarial perturbation on embodied vision navigation. Pattern Recognit. Lett. 168 (2023)
Jiawei Chen, Xiao Yang, Heng Yin, Mingzhi Ma, Bihui Chen, Jianteng Peng, Yandong Guo, Zhaoxia Yin, Hang Su
AdvFAS: A robust face anti-spoofing framework against adversarial examples. CoRR (2023)
Shilong Liu, Shijia Huang, Feng Li, Hao Zhang, Yaoyuan Liang, Hang Su, Jun Zhu, Lei Zhang
DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding. AAAI (2023)
Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning. ICML (2023)
Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale. ICML (2023)
Shengfang Zhai, Yinpeng Dong, Qingni Shen, Shi Pu, Yuejian Fang, Hang Su
Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning. CoRR (2023)
Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning. CoRR (2023)
Yinpeng Dong, Caixin Kang, Jinlai Zhang, Zijian Zhu, Yikai Wang, Xiao Yang, Hang Su, Xingxing Wei, Jun Zhu
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving. CVPR (2023)
Jiawei Chen, Xiao Yang, Heng Yin, Mingzhi Ma, Bihui Chen, Jianteng Peng, Yandong Guo, Zhaoxia Yin, Hang Su
AdvFAS: A robust face anti-spoofing framework against adversarial examples. Comput. Vis. Image Underst. 235 (2023)
Xiao Yang, Chang Liu, Longlong Xu, Yikai Wang, Yinpeng Dong, Ning Chen, Hang Su, Jun Zhu
Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition. CVPR (2023)
Yichi Zhang, Zijian Zhu, Hang Su, Jun Zhu, Shibao Zheng, Yuan He, Hui Xue
To make yourself invisible with Adversarial Semantic Contours. Comput. Vis. Image Underst. 230 (2023)
Chang Liu, Yinpeng Dong, Wenzhao Xiang, Xiao Yang, Hang Su, Jun Zhu, Yuefeng Chen, Yuan He, Hui Xue, Shibao Zheng
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking. CoRR (2023)
Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training. ICCV (2023)
Zhongkai Hao, Chengyang Ying, Zhengyi Wang, Hang Su, Yinpeng Dong, Songming Liu, Ze Cheng, Jun Zhu, Jian Song
GNOT: A General Neural Operator Transformer for Operator Learning. CoRR (2023)
Shengfang Zhai, Yinpeng Dong, Qingni Shen, Shi Pu, Yuejian Fang, Hang Su
Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning. ACM Multimedia (2023)
Liang Han, Hang Su, Zhaozheng Yin
Phase Contrast Image Restoration by Formulating Its Imaging Principle and Reversing the Formulation With Deep Neural Networks. IEEE Trans. Medical Imaging 42 (4) (2023)
Wenzhao Xiang, Hang Su, Chang Liu, Yandong Guo, Shibao Zheng
Improving the robustness of adversarial attacks using an affine-invariant gradient estimator. Comput. Vis. Image Underst. 229 (2023)
Liyuan Wang, Xingxing Zhang, Hang Su, Jun Zhu
A Comprehensive Survey of Continual Learning: Theory, Method and Application. CoRR (2023)
Chang Liu, Wenzhao Xiang, Yuan He, Hui Xue, Shibao Zheng, Hang Su
Improving Model Generalization by On-manifold Adversarial Augmentation in the Frequency Domain. CoRR (2023)
Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Dong Yan, Jun Zhu
On the Reuse Bias in Off-Policy Reinforcement Learning. IJCAI (2023)
Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu
Exploring Memorization in Adversarial Training. ICLR (2022)
Zhongkai Hao, Songming Liu, Yichi Zhang, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications. CoRR (2022)
Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Ze Cheng
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs. CoRR (2022)
Jialian Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model. AAAI (2022)
Yinpeng Dong, Shouwei Ruan, Hang Su, Caixin Kang, Xingxing Wei, Jun Zhu
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints. CoRR (2022)
Yinpeng Dong, Shouwei Ruan, Hang Su, Caixin Kang, Xingxing Wei, Jun Zhu
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints. NeurIPS (2022)
You Qiaoben, Chengyang Ying, Xinning Zhou, Hang Su, Jun Zhu, Bo Zhang
Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation. CoRR (2022)
Zhengyi Wang, Zhongkai Hao, Ziqiao Wang, Hang Su, Jun Zhu
Cluster Attack: Query-based Adversarial Attacks on Graph with Graph-Dependent Priors. IJCAI (2022)
Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Dong Yan, Jun Zhu
On the Reuse Bias in Off-Policy Reinforcement Learning. CoRR (2022)
Jiayi Weng, Huayu Chen, Dong Yan, Kaichao You, Alexis Duburcq, Minghao Zhang, Yi Su, Hang Su, Jun Zhu
Tianshou: A Highly Modularized Deep Reinforcement Learning Library. J. Mach. Learn. Res. 23 (2022)
Xiao Yang, Shilong Liu, Yinpeng Dong, Hang Su, Lei Zhang, Jun Zhu
Towards generalizable detection of face forgery via self-guided model-agnostic learning. Pattern Recognit. Lett. 160 (2022)
Shilong Liu, Yaoyuan Liang, Feng Li, Shijia Huang, Hao Zhang, Hang Su, Jun Zhu, Lei Zhang
DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding. CoRR (2022)
Qi-An Fu, Yinpeng Dong, Hang Su, Jun Zhu, Chao Zhang
AutoDA: Automated Decision-based Iterative Adversarial Attacks. USENIX Security Symposium (2022)
Liyuan Wang, Bo Lei, Qian Li, Hang Su, Jun Zhu, Yi Zhong
Triple-Memory Networks: A Brain-Inspired Method for Continual Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (5) (2022)
Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart. CVPR (2022)
Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jian Song, Jun Zhu
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing. ICML (2022)
Yi Zhou, Hang Su, Shuai Tian, Xiaoming Liu, Jidong Suo
Multiple-Kernelized-Correlation-Filter-Based Track-Before-Detect Algorithm for Tracking Weak and Extended Target in Marine Radar Systems. IEEE Trans. Aerosp. Electron. Syst. 58 (4) (2022)
Jialian Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model. CoRR (2022)
Chengyang Ying, Xinning Zhou, Hang Su, Dong Yan, Ning Chen, Jun Zhu
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk. IJCAI (2022)
Hao Zhang, Feng Li, Shilong Liu, Lei Zhang, Hang Su, Jun Zhu, Lionel M. Ni, Heung-Yeung Shum
DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection. CoRR (2022)
Dong Yan, Jiayi Weng, Shiyu Huang, Chongxuan Li, Yichi Zhou, Hang Su, Jun Zhu
Deep reinforcement learning with credit assignment for combinatorial optimization. Pattern Recognit. 124 (2022)
Yinpeng Dong, Shuyu Cheng, Tianyu Pang, Hang Su, Jun Zhu
Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Prior. CoRR (2022)
Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling. CoRR (2022)
Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Jian Song, Ze Cheng
Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients. CoRR (2022)
Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jun Zhu, Jian Song
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing. CoRR (2022)
Xiao Yang, Yinpeng Dong, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu
Controllable Evaluation and Generation of Physical Adversarial Patch on Face Recognition. CoRR (2022)
Yao Feng, Yuhong Jiang, Hang Su, Dong Yan, Jun Zhu
Model-based Reinforcement Learning with a Hamiltonian Canonical ODE Network. CoRR (2022)
Yinpeng Dong, Shuyu Cheng, Tianyu Pang, Hang Su, Jun Zhu
Query-Efficient Black-Box Adversarial Attacks Guided by a Transfer-Based Prior. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Shilong Liu, Feng Li, Hao Zhang, Xiao Yang, Xianbiao Qi, Hang Su, Jun Zhu, Lei Zhang
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR. ICLR (2022)
Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks. ECCV (4) (2022)
Chengyang Ying, Xinning Zhou, Hang Su, Dong Yan, Ning Chen, Jun Zhu
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk. CoRR (2022)
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization. IEEE Trans. Mob. Comput. 21 (9) (2022)
Jiayi Weng, Huayu Chen, Dong Yan, Kaichao You, Alexis Duburcq, Minghao Zhang, Hang Su, Jun Zhu
Tianshou: a Highly Modularized Deep Reinforcement Learning Library. CoRR (2021)
Qi-An Fu, Yinpeng Dong, Hang Su, Jun Zhu
Automated Decision-based Adversarial Attacks. CoRR (2021)
Haosheng Zou, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu
Learning Task-Distribution Reward Shaping with Meta-Learning. AAAI (2021)
Yulong Wang, Xiaolu Zhang, Jun Zhou, Hang Su
Rethinking the Effectiveness of Selective Attention in Neural Networks. ICONIP (3) (2021)
Hongtian Zhao, Di Wu, Hang Su, Shibao Zheng, Jie Chen
Gradient-based conditional generative adversarial network for non-uniform blind deblurring via DenseResNet. J. Vis. Commun. Image Represent. 74 (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hang Su