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ORCIDHang Su 0006
Person information
- affiliation: Tsinghua University, Department of Computer Science and Technology, Beijing, China
- affiliation: Tsinghua University, Tsinghua-Bosch Joint Center for ML, BNRist Center, THBI Lab, Beijing, China
Other persons with the same name
- Hang Su — disambiguation page
- Hang Su 0001
![[0000-0002-6877-6783]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6877-6783")
— Politecnico di Milano, Milan, Italy (and 1 more) - Hang Su 0002 — Shandong University of Science and Technology, College of Electrical Engineering and Automation, Qingdao, China
- Hang Su 0003 — Beihang University, Beijing, China
- Hang Su 0004 — Queen Mary University of London, London, UK
- Hang Su 0005 — UMass Amherst, MA, USA (and 1 more)
- Hang Su 0007 — Texas A&M University, College Station, TX, USA
- Hang Su 0008 — The University of Texas at San Antonio, TX, USA
- Hang Su 0009 — Vanderbilt University, Nashville, TN, USA
- Hang Su 0010 — University of North Carolina, Chapel Hill, USA
- Hang Su 0011 — University of California, Berkeley, USA
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2020 – today
- 2024
[j52]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)- [j51]Bowen Sun, Hang Su, Shibao Zheng:
Black-box attacks on face recognition via affine-invariant training. Neural Comput. Appl. 36(15): 8549-8564 (2024) - [j50]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): 5362-5383 (2024) - [j49]Hai Chen, Huanqian Yan, Xiao Yang, Hang Su, Shu Zhao, Fulan Qian:
Efficient Adversarial Attack Strategy Against 3D Object Detection in Autonomous Driving Systems. IEEE Trans. Intell. Transp. Syst. 25(11): 16118-16132 (2024) - [j48]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): 2667-2679 (2024) - [j47]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): 9:1-9:27 (2024) - [j46]Changjian Chen, Yukai Guo, Fengyuan Tian, Shilong Liu, Weikai Yang, Zhaowei Wang, Jing Wu, Hang Su, Hanspeter Pfister, Shixia Liu:
A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision. IEEE Trans. Vis. Comput. Graph. 30(1): 76-86 (2024) - [j45]Lichun Tang, Zhaoxia Yin, Hang Su, Wanli Lyu, Bin Luo:
WFSS: weighted fusion of spectral transformer and spatial self-attention for robust hyperspectral image classification against adversarial attacks. Vis. Intell. 2(1) (2024) - [c119]Yichi Zhang, Yinpeng Dong, Siyuan Zhang, Tianzan Min, Hang Su, Jun Zhu:
Exploring the Transferability of Visual Prompting for Multimodal Large Language Models. CVPR 2024: 26552-26562 - [c118]Xianghao Kong, Jinyu Chen, Wenguan Wang, Hang Su, Xiaolin Hu, Yi Yang, Si Liu:
Controllable Navigation Instruction Generation with Chain of Thought Prompting. ECCV (29) 2024: 37-54 - [c117]Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Qing Jiang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang:
Grounding DINO: Marrying DINO with Grounded Pre-training for Open-Set Object Detection. ECCV (47) 2024: 38-55 - [c116]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. ECCV (31) 2024: 57-74 - [c115]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. ECCV (47) 2024: 126-142 - [c114]Shouwei Ruan, Yinpeng Dong, Hanqing Liu, Yao Huang, Hang Su, Xingxing Wei:
Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models. ECCV (26) 2024: 309-327 - [c113]Huayu Chen, Cheng Lu, Zhengyi Wang, Hang Su, Jun Zhu:
Score Regularized Policy Optimization through Diffusion Behavior. ICLR 2024 - [c112]Huanran Chen, Yichi Zhang, Yinpeng Dong, Xiao Yang, Hang Su, Jun Zhu:
Rethinking Model Ensemble in Transfer-based Adversarial Attacks. ICLR 2024 - [c111]Lingxuan Wu, Xiao Yang, Yinpeng Dong, Liuwei Xie, Hang Su, Jun Zhu:
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches. ICLR 2024 - [c110]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 - [c109]Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu:
Robust Classification via a Single Diffusion Model. ICML 2024 - [c108]Ze Cheng, Zhongkai Hao, Xiaoqiang Wang, Jianing Huang, Youjia Wu, Xudan Liu, Yiru Zhao, Songming Liu, Hang Su:
Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations. ICML 2024 - [c107]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. ICML 2024 - [c106]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. ICML 2024 - [c105]Runqi Lin, Chaojian Yu, Bo Han, Hang Su, Tongliang Liu:
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency. ICML 2024 - [c104]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. ICML 2024 - [c103]Zipeng Xiao, Zhongkai Hao, Bokai Lin, Zhijie Deng, Hang Su:
Improved Operator Learning by Orthogonal Attention. ICML 2024 - [c102]Shuyuan Liu, Jiawei Chen, Shouwei Ruan, Hang Su, Zhaoxia Yin:
Exploring the Robustness of Decision-Level Through Adversarial Attacks on LLM-Based Embodied Models. ACM Multimedia 2024: 8120-8128 - [i130]Songming Liu, Chang Su, Jiachen Yao, Zhongkai Hao, Hang Su, Youjia Wu, Jun Zhu:
Preconditioning for Physics-Informed Neural Networks. CoRR abs/2402.00531 (2024) - [i129]Huanran Chen, Yinpeng Dong, Shitong Shao, Zhongkai Hao, Xiao Yang, Hang Su, Jun Zhu:
Your Diffusion Model is Secretly a Certifiably Robust Classifier. CoRR abs/2402.02316 (2024) - [i128]Huayu Chen, Guande He, Hang Su, Jun Zhu:
Noise Contrastive Alignment of Language Models with Explicit Rewards. CoRR abs/2402.05369 (2024) - [i127]Shengfang Zhai, Weilong Wang, Jiajun Li, Yinpeng Dong, Hang Su, Qingni Shen:
Discovering Universal Semantic Triggers for Text-to-Image Synthesis. CoRR abs/2402.07562 (2024) - [i126]Yu Tian, Xiao Yang, Yinpeng Dong, Heming Yang, Hang Su, Jun Zhu:
BSPA: Exploring Black-box Stealthy Prompt Attacks against Image Generators. CoRR abs/2402.15218 (2024) - [i125]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 abs/2403.03542 (2024) - [i124]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 abs/2403.05034 (2024) - [i123]Lingxuan Wu, Xiao Yang, Yinpeng Dong, Liuwei Xie, Hang Su, Jun Zhu:
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches. CoRR abs/2404.00540 (2024) - [i122]Jiawei Chen, Xiao Yang, Yinpeng Dong, Hang Su, Jianteng Peng, Zhaoxia Yin:
FaceCat: Enhancing Face Recognition Security with a Unified Generative Model Framework. CoRR abs/2404.09193 (2024) - [i121]Yichi Zhang, Yinpeng Dong, Siyuan Zhang, Tianzan Min, Hang Su, Jun Zhu:
Exploring the Transferability of Visual Prompting for Multimodal Large Language Models. CoRR abs/2404.11207 (2024) - [i120]Shouwei Ruan, Yinpeng Dong, Hanqing Liu, Yao Huang, Hang Su, Xingxing Wei:
Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models. CoRR abs/2404.12139 (2024) - [i119]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 abs/2404.19525 (2024) - [i118]Chengyang Ying, Zhongkai Hao, Xinning Zhou, Xuezhou Xu, Hang Su, Xingxing Zhang, Jun Zhu:
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning. CoRR abs/2405.14073 (2024) - [i117]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 abs/2405.14800 (2024) - [i116]Runqi Lin, Chaojian Yu, Bo Han, Hang Su, Tongliang Liu:
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency. CoRR abs/2405.16262 (2024) - [i115]Ze Cheng, Zhongkai Hao, Xiaoqiang Wang, Jianing Huang, Youjia Wu, Xudan Liu, Yiru Zhao, Songming Liu, Hang Su:
Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations. CoRR abs/2405.17509 (2024) - [i114]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 abs/2405.19668 (2024) - [i113]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 abs/2405.19802 (2024) - [i112]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 abs/2405.19885 (2024) - [i111]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 abs/2406.07057 (2024) - [i110]Liyuan Wang, Jingyi Xie, Xingxing Zhang, Hang Su, Jun Zhu:
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning. CoRR abs/2407.05229 (2024) - [i109]Xianghao Kong, Jinyu Chen, Wenguan Wang, Hang Su, Xiaolin Hu, Yi Yang, Si Liu:
Controllable Navigation Instruction Generation with Chain of Thought Prompting. CoRR abs/2407.07433 (2024) - [i108]Huayu Chen, Kaiwen Zheng, Hang Su, Jun Zhu:
Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control. CoRR abs/2407.09024 (2024) - [i107]Wenzhao Xiang, Chang Liu, Hang Su, Hongyang Yu:
AEMIM: Adversarial Examples Meet Masked Image Modeling. CoRR abs/2407.11537 (2024) - [i106]Xingxing Wei, Caixin Kang, Yinpeng Dong, Zhengyi Wang, Shouwei Ruan, Yubo Chen, Hang Su:
Real-world Adversarial Defense against Patch Attacks based on Diffusion Model. CoRR abs/2409.09406 (2024) - [i105]Songming Liu, Lingxuan Wu, Bangguo Li, Hengkai Tan, Huayu Chen, Zhengyi Wang, Ke Xu, Hang Su, Jun Zhu:
RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation. CoRR abs/2410.07864 (2024) - 2023
- [j44]Bo Zhang, Jun Zhu, Hang Su:
Toward the third generation artificial intelligence. Sci. China Inf. Sci. 66(2) (2023) - [j43]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: 103647 (2023) - [j42]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: 103659 (2023) - [j41]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: 103779 (2023) - [j40]Liyuan Wang, Xingxing Zhang, Qian Li, Mingtian Zhang, Hang Su, Jun Zhu, Yi Zhong:
Incorporating neuro-inspired adaptability for continual learning in artificial intelligence. Nat. Mac. Intell. 5(12): 1356-1368 (2023) - [j39]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: 57-63 (2023) - [j38]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): 1068-1082 (2023) - [c101]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: 1728-1736 - [c100]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: 1022-1032 - [c99]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: 4119-4128 - [c98]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: 22669-22679 - [c97]Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei:
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training. ICCV 2023: 4686-4696 - [c96]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. ICCV 2023: 6316-6327 - [c95]Shilong Liu, Tianhe Ren, Jiayu Chen, Zhaoyang Zeng, Hao Zhang, Feng Li, Hongyang Li, Jun Huang, Hang Su, Jun Zhu, Lei Zhang:
Detection Transformer with Stable Matching. ICCV 2023: 6468-6477 - [c94]Mingzhi Ma, Weijie Zheng, Wanli Lv, Lu Ren, Hang Su, Zhaoxia Yin:
Multi-Label Adversarial Attack Based on Label Correlation. ICIP 2023: 2050-2054 - [c93]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 - [c92]Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu:
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling. ICLR 2023 - [c91]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 - [c90]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: 1692-1717 - [c89]Zhongkai Hao, Zhengyi Wang, Hang Su, Chengyang Ying, Yinpeng Dong, Songming Liu, Ze Cheng, Jian Song, Jun Zhu:
GNOT: A General Neural Operator Transformer for Operator Learning. ICML 2023: 12556-12569 - [c88]Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu:
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data. ICML 2023: 21658-21671 - [c87]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: 22825-22855 - [c86]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: 39702-39721 - [c85]Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Dong Yan, Jun Zhu:
On the Reuse Bias in Off-Policy Reinforcement Learning. IJCAI 2023: 4513-4521 - [c84]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: 1577-1587 - [c83]Yilin Lyu, Liyuan Wang, Xingxing Zhang, Zicheng Sun, Hang Su, Jun Zhu, Liping Jing:
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation. NeurIPS 2023 - [c82]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 - [c81]Liyuan Wang, Jingyi Xie, Xingxing Zhang, Mingyi Huang, Hang Su, Jun Zhu:
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality. NeurIPS 2023 - [i104]Liyuan Wang, Xingxing Zhang, Hang Su, Jun Zhu:
A Comprehensive Survey of Continual Learning: Theory, Method and Application. CoRR abs/2302.00487 (2023) - [i103]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 abs/2302.14301 (2023) - [i102]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 abs/2302.14302 (2023) - [i101]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 abs/2302.14376 (2023) - [i100]Yichi Zhang, Zijian Zhu, Hang Su, Jun Zhu, Shibao Zheng, Yuan He, Hui Xue:
To Make Yourself Invisible with Adversarial Semantic Contours. CoRR abs/2303.00284 (2023) - [i99]Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Songming Liu, Jialian Li, Dong Yan, Jun Zhu:
Reward Informed Dreamer for Task Generalization in Reinforcement Learning. CoRR abs/2303.05092 (2023) - [i98]Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang:
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection. CoRR abs/2303.05499 (2023) - [i97]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. CoRR abs/2303.06555 (2023) - [i96]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. CoRR abs/2303.11040 (2023) - [i95]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. CoRR abs/2303.15818 (2023) - [i94]Chendong Xiang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu:
A Closer Look at Parameter-Efficient Tuning in Diffusion Models. CoRR abs/2303.18181 (2023) - [i93]Shilong Liu, Tianhe Ren, Jiayu Chen, Zhaoyang Zeng, Hao Zhang, Feng Li, Hongyang Li, Jun Huang, Hang Su, Jun Zhu, Lei Zhang:
Detection Transformer with Stable Matching. CoRR abs/2304.04742 (2023) - [i92]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 abs/2304.12824 (2023) - [i91]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 abs/2305.04175 (2023) - [i90]Zhaoxia Yin, Shaowei Zhu, Hang Su, Jianteng Peng, Wanli Lyu, Bin Luo:
Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization. CoRR abs/2305.04436 (2023) - [i89]Zhaoxia Yin, Heng Yin, Hang Su, Xinpeng Zhang, Zhenzhe Gao:
Decision-based iterative fragile watermarking for model integrity verification. CoRR abs/2305.09684 (2023) - [i88]Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu:
Robust Classification via a Single Diffusion Model. CoRR abs/2305.15241 (2023) - [i87]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 abs/2305.16213 (2023) - [i86]Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu:
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data. CoRR abs/2305.18694 (2023) - [i85]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. CoRR abs/2306.02816 (2023) - [i84]Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, Jun Zhu:
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs. CoRR abs/2306.08827 (2023) - [i83]Caixin Kang, Yinpeng Dong, Zhengyi Wang, Shouwei Ruan, Hang Su, Xingxing Wei:
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks in the Physical World. CoRR abs/2306.09124 (2023) - [i82]Xingxing Wei, Shouwei Ruan, Yinpeng Dong, Hang Su:
Distributional Modeling for Location-Aware Adversarial Patches. CoRR abs/2306.16131 (2023) - [i81]Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei:
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training. CoRR abs/2307.10235 (2023) - [i80]Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei:
Improving Viewpoint Robustness for Visual Recognition via Adversarial Training. CoRR abs/2307.11528 (2023) - [i79]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 abs/2307.12730 (2023) - [i78]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 abs/2308.02116 (2023) - [i77]Changjian Chen, Yukai Guo, Fengyuan Tian, Shilong Liu, Weikai Yang, Zhaowei Wang, Jing Wu, Hang Su, Hanspeter Pfister, Shixia Liu:
A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision. CoRR abs/2308.05168 (2023) - [i76]Liyuan Wang, Xingxing Zhang, Qian Li, Mingtian Zhang, Hang Su, Jun Zhu, Yi Zhong:
Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligence. CoRR abs/2308.14991 (2023) - [i75]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 abs/2309.11751 (2023) - [i74]Liyuan Wang, Jingyi Xie, Xingxing Zhang, Mingyi Huang, Hang Su, Jun Zhu:
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality. CoRR abs/2310.07234 (2023) - [i73]Huayu Chen, Cheng Lu, Zhengyi Wang, Hang Su, Jun Zhu:
Score Regularized Policy Optimization through Diffusion Behavior. CoRR abs/2310.07297 (2023) - [i72]