苏航｜清华大学｜学者主页

2026

具有误差约束的机械臂系统自适应强化学习控制

苏航，张滋林

《控制与决策》

2026

基于改进匈牙利匹配算法的激光雷达与摄像机目标高精度融合研究

王小超，刘世杰，于宗晓，王孝润，高孝舵，苏航

《电子器件》

2026

ReflexDiffusion: Reflection-Enhanced Trajectory Planning for High-lateral-acceleration Scenarios in Autonomous Driving

Xuemei Yao, Xiao Yang, Jian-Bin Sun, Liuwei Xie, Xue-Bin Shao, Xi-Yu Fang, Hang Su, Kewei Yang

AAAI Conference on Artificial Intelligence

DOI

2026

Geometry-Aware Rotary Position Embedding for Consistent Video World Model

Chendong Xiang, Jiajun Liu, Jintao Zhang, Xiao Yang, Zheng-Wei Fang, Shizun Wang, Zi-Jun Wang, Ying-Tian Zou, Hang Su, Jun Zhu

arXiv.org

DOI

2026

Improving Viewpoint Robustness for Visual Recognition via Adversarial Training

Shouwei Ruan, Yinpeng Dong, Hang Su, Ning Chen, Haibin Duan, Xingxing Wei

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2026

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents

Hang Su, Jun Luo, Chang Liu, Xiao Hui Yang, Yichi Zhang, Yinpeng Dong, Jun Jie Zhu

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2026

Crafting Physical Adversarial Examples by Combining Differentiable and Physically Based Renders

Yuqiu Liu, Huanqian Yan, Xiaopei Zhu, Xiaolin Hu, Liang Tang, Hang Su, Chen Lv

IEEE/CAA Journal of Automatica Sinica

DOI

2025

Visual Generation Without Guidance

Hua-Yu Chen, Kai Jiang, Kaiwen Zheng, Jian-Fei Chen, Hang Su, Jun Zhu

International Conference on Machine Learning

DOI

2025

Understanding and Improving Information Preservation in Prompt Compression for LLMs

Weronika Lajewska, Momchil Hardalov, Laura Aina, Neha Anna John, Hang Su, Lluís Màrquez I. Villodre

Conference on Empirical Methods in Natural Language Processing

DOI

2025

AgentBay: A Hybrid Interaction Sandbox for Seamless Human-AI Intervention in Agentic Systems

Y. Piao, Hongbo Min, Hang Su, Leilei Zhang, Lei Wang, Yue Yin, Xiao Wu, Zhe-Jing Xu, Liwei Qu, Hang Li, Xin-Xin Zeng, Wei Tian, Fei Yu, Xiao-Wei Li, Jiayi Jiang, Tong-Xuan Liu, Haoxiang Tian, Yufei Que, Xiao-Qing Tu, B. Suo, Yuebing Li, Xiang-Hui Chen, Ze-Yu Zhao, Jia-Xiang Tang, Wei Huang, Xu-Guang Li, Jing Zhao, Jin Li, Jie Shen, Jin-Kui Ren, Xian-Tao Zhang

arXiv.org

DOI

2025

VASP Agent: An Agentic Framework for Autonomous First-principles Calculations

Zeyu Xia, Jinzhe Ma, Cong-Jie Zheng, Zhong-Yao Wang, Shu-Fei Zhang, Yu-Qiang Li, Hang Su, P. Hu, Chang Zhang, Xingao Gong, Wan-Li Ouyang, Lei Bai, Dong-Zhan Zhou, Mao Su

2025

DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Kaiwen Zheng, Hua-Yu Chen, Hao-Tian Ye, Hao-Xiang Wang, Qinsheng Zhang, Kai Jiang, Hang Su, Stefano Ermon, Jun Zhu, Mingying Liu

arXiv.org

DOI

2025

From reactive to cognitive: brain-inspired spatial intelligence for embodied agents

Shou-Wei Ruan, Li-Yuan Wang, Cai Kang, Qi-Hui Zhu, Songming Liu, Xing-Xing Wei, Hang Su

arXiv.org

DOI

2025

Vidar: Embodied Video Diffusion Model for Generalist Bimanual Manipulation

Yao Feng, Heng-Kai Tan, Xin-Yi Mao, Guo-Dong Liu, Shu-He Huang, Chendong Xiang, Hang Su, Jun Zhu

arXiv.org

DOI

2025

Towards the Worst-case Robustness of Large Language Models

Huan-Ran Chen, Yin-Peng Dong, Zeming Wei, Hang Su, Jun Zhu

arXiv.org

DOI

2025

HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning

Liyuan Wang, Jingyi Xie, Xingxing Zhang, Hang Su, Jun Zhu

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2025

Distributionally Location-Aware Transferable Adversarial Patches for Facial Images

Xingxing Wei, Shouwei Ruan, Yinpeng Dong, Hang Su, Xiaochun Cao

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2025

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning

Xinning Zhou, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu

International Joint Conference on Artificial Intelligence

DOI

2025

ImAdv: Transferable Implicit Adversarial Attack for 3D Object Detectors in Autonomous Driving

Zijian Zhu, Xiao Q. Yang, Hang Su, Shu Guo Zhao, Shibao Zheng

IEEE Transactions on Big Data

DOI

2025

Improving model generalization by on-manifold adversarial augmentation in the frequency domain

Chang Liu, Wenzhao Xiang, Yuan He, Hui Xue, Shibao Zheng, Hang Su

Journal of Visual Communication and Image Representation

DOI

2025

RobustPrompt: Learning to defend against adversarial attacks with adaptive visual prompts

Chang Liu, Wenzhao Xiang, Yinpeng Dong, Xingxing Zhang, Liyuan Wang, Ranjie Duan, Shibao Zheng, Hang Su

Pattern Recognition Letters

DOI

2025

Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre-Training Models With Contrastive Learning

Youze Wang, Wenbo Hu, Yinpeng Dong, Hanwang Zhang, Hang Su, Richang Hong

IEEE Transactions on Multimedia

DOI

2025

RoboEngine: Plug-and-Play Robot Data Augmentation with Semantic Robot Segmentation and Background Generation

Chengbo Yuan, Suraj Joshi, Shaoting Zhu, Hang Su, Hang Zhao, Yang Gao

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

DOI

2024

利用SAM大模型对SAR影像配准的深度学习方法

张犁宝，苏航，高红雨

《遥感信息》

2024

基于深度强化学习的多无人机协同打击方法研究

苏航

《西安电子科技大学》

2024

MicroDreamer: Efficient 3D Generation in $\sim$20 Seconds by Score-based Iterative Reconstruction.

Lu-Xi Chen, Zhengyi Wang, Zihan Zhou, Ting-Ting Gao, Hang Su, Jun Zhu, Chong-Xuan Li

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2024

DIFFender: Diffusion-Based Adversarial Defense Against Patch Attacks

Caixin Kang, Yinpeng Dong, Zhengyi Wang, Shouwei Ruan, Yubo Chen, Hang Su, Xingxing Wei

Lecture notes in computer science

DOI

2024

Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment

Hua-Yu Chen, Hang Su, Peize Sun, Jun Zhu

International Conference on Learning Representations

DOI

2024

BlobGEN-3D: Compositional 3D-Consistent Freeview Image Generation with 3D Blobs

Chao Liu, Weili Nie, Sifei Liu, Abhishek Badki, Hang Su, Morteza Mardani, Benjamin Eckart, Arash Vahdat

ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia

DOI

2024

CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model

Zhengyi Wang, Yi-Kai Wang, Yi-Fei Chen, Chendong Xiang, Shuo Chen, Dajiang Yu, Chong-Xuan Li, Hang Su, Jun Zhu

European Conference on Computer Vision

DOI

2024

Noise Contrastive Alignment of Language Models with Explicit Rewards

Hua-Yu Chen, Guande He, Lifan Yuan, Hang Su, Jun Zhu

Neural Information Processing Systems

DOI

2024

RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

Songming Liu, Lingxuan Wu, Bangguo Li, Heng-Kai Tan, Hua-Yu Chen, Zhengyi Wang, Ke Xu, Hang Su, Jun Zhu

International Conference on Learning Representations

DOI

2024

Diffusion Models are Certifiably Robust Classifiers

Huanran Chen, Yin-Peng Dong, Shi-Tong Shao, Zhongkai Hao, Xiao Yang, Hang Su, Jun Zhu

Neural Information Processing Systems

DOI

2024

Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control

Hua-Yu Chen, Kaiwen Zheng, Hang Su, Jun Zhu

Neural Information Processing Systems

DOI

2024

LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models

Zhengyi Wang, Jonathan Lorraine, Yi-Kai Wang, Hang Su, Jun Zhu, Sanja Fidler, Xiaohui Zeng

arXiv.org

DOI

2024

FeedFace: Efficient Inference-based Face Personalization via Diffusion Models

Chendong Xiang, Armando Fortes, K. H. Chua, Hang Su, Jun Zhu

Tiny Papers @ ICLR

2024

Face3DAdv: Exploiting Robust Adversarial 3D Patches on Physical Face Recognition

Xiao Hui Yang, Longlong Xu, Tianyu Pang, Yinpeng Dong, Yikai Wang, Hang Su, Jun Zhu

International Journal of Computer Vision

DOI

2024

CamoEnv: Transferable and environment-consistent adversarial camouflage in autonomous driving

Zijian Zhu, Xiao Hui Yang, Hang Su, Shibao Zheng

Pattern Recognition Letters

DOI

2024

Empowering Object Detection: Unleashing the Potential of Decoupled and Interactive Distillation

Fulan Qian, Jiacheng Hong, Huanqian Yan, Hai Chen, Chonghao Zhang, Hang Su, Shu Guo Zhao

IEEE Transactions on Intelligent Transportation Systems

DOI

2024

Controllable Navigation Instruction Generation with Chain of Thought Prompting

Xianghao Kong, Jinyu Chen, Wenguan Wang, Hang Su, Xiaolin Hu, Yi Yang, Si Liu

Lecture notes in computer science

DOI

2024

Exploring the Robustness of Decision-Level Through Adversarial Attacks on LLM-Based Embodied Models

Shuyuan Liu, Jiawei Chen, Shouwei Ruan, Hang Su, Zhaoxia Yin

ACM International Conference on Multimedia (ACM MM)

DOI

2024

ANF: Crafting Transferable Adversarial Point Clouds via Adversarial Noise Factorization

Hai Chen, Shu Guo Zhao, Xiao Q. Yang, Huanqian Yan, Yuan He, Hui Xue, Fulan Qian, Hang Su

IEEE Transactions on Big Data

DOI

2024

Towards Transferable Targeted 3D Adversarial Attack in the Physical World

Yao Huang, Yinpeng Dong, Shouwei Ruan, Xiao Fang Yang, Hang Su, Xingxing Wei

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2024

Exploring the Transferability of Visual Prompting for Multimodal Large Language Models

Yichi Zhang, Yinpeng Dong, Siyuan Zhang, Tianzan Min, Hang Su, Jun Zhu

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2024

WFSS: weighted fusion of spectral transformer and spatial self-attention for robust hyperspectral image classification against adversarial attacks

Lichun Tang, Zhaoxia Yin, Hang Su, Wanli Lyu, Bin Luo

Visual Intelligence

DOI

2023

基于深度学习的足球精彩视频检测技术的研究与应用

苏航

《沈阳工业大学》

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

International Conference on Machine Learning

DOI

2023

Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning

Cheng Lu, Hua-Yu Chen, Jian-Fei Chen, Hang Su, Chong-Xuan Li, Jun Zhu

International Conference on Machine Learning

DOI

2023

GNOT: A General Neural Operator Transformer for Operator Learning

Zhongkai Hao, Chengyang Ying, Zheng-Yi Wang, Hang Su, Yin-Peng Dong, Songming Liu, Ze Cheng, Jun Zhu, Jian Song

International Conference on Machine Learning

DOI

2023

Robust Classification via a Single Diffusion Model

Huanran Chen, Yin-Peng Dong, Zheng-Yi Wang, X. Yang, Chengqi Duan, Hang Su, Jun Zhu

International Conference on Machine Learning

DOI

2023

A Comprehensive Survey of Continual Learning: Theory, Method and Application

Liyuan Wang, Xingxing Zhang, Hang Su, Jun Zhu

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2023

A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking

Chang Liu, Yin-Peng Dong, Wen-Zhao Xiang, X. Yang, Hang Su, Junyi Zhu, Yue-Feng Chen, Yuan He, H. Xue, Shibao Zheng

International Journal of Computer Vision

DOI

2023

One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale

Fan Bao, Shen Nie, Kaiwen Xue, Chong-Xuan Li, Shiliang Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu

International Conference on Machine Learning

DOI

2023

Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning

Mingyang Wang, Zhen-Shan Bing, Xiang-Tong Yao, Shuai Wang, Hang Su, Chenguang Yang, Kai Huang, Alois Knoll

AAAI Conference on Artificial Intelligence

DOI

2023

On the Reuse Bias in Off-Policy Reinforcement Learning

Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Dong Yan, Jun Zhu

International Joint Conference on Artificial Intelligence

DOI

2023

Distributional Modeling for Location-Aware Adversarial Patches

Xingxing Wei, Shou-Wei Ruan, Yin-Peng Dong, Hang Su

arXiv.org

DOI

2023

Reward Informed Dreamer for Task Generalization in Reinforcement Learning

Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Songming Liu, J. Li, Dong Yan, Jun Zhu

arXiv.org

DOI

2023

Competition on robust deep learning

Yin-Peng Dong, Chang Liu, Wen-Zhao Xiang, Hang Su, Jun Zhu

National Science Review

DOI

2023

PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs

Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fan Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, Jun Zhu

Neural Information Processing Systems

DOI

2023

Incorporating neuro-inspired adaptability for continual learning in artificial intelligence

Liyuan Wang, Xingxing Zhang, Qian Li, Mingtian Zhang, Hang Su, Jun Zhu, Yi Zhong

Nature Machine Intelligence

DOI

2023

A Closer Look at Parameter-Efficient Tuning in Diffusion Models

Chendong Xiang, Fan Bao, Chong-Xuan Li, Hang Su, Jun Zhu

arXiv.org

DOI

2023

Toward the third generation artificial intelligence

Bo Zhang, Jun Zhu, Hang Su

Science China Information Sciences

DOI

2023

DIVA: A Dirichlet Process Mixtures Based Incremental Deep Clustering Algorithm via Variational Auto-Encoder

Zhen-Shan Bing, Y. Meng, Yuqi Yun, Hang Su, Xiao-Jie Su, Kai Huang, Alois Knoll

2023

To Make Yourself Invisible with Adversarial Semantic Contours

Yichi Zhang, Zi-Jian Zhu, Hang Su, Jun Zhu, Shibao Zheng, Yuan He, H. Xue

Computer Vision and Image Understanding

DOI

2023

How Robust is Google's Bard to Adversarial Image Attacks?

Yin-Peng Dong, Huanran Chen, Jiawei Chen, Zheng-Wei Fang, X. Yang, Yi-Chi Zhang, Yu Tian, Hang Su, Jun Zhu

arXiv.org

DOI

2023

Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving

Yin-Peng Dong, Cai Kang, Jinlai Zhang, Zi-Jian Zhu, Yi-Kai Wang, X. Yang, Hang Su, Xingxing Wei, Jun Zhu

Computer Vision and Pattern Recognition

DOI

2023

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation

Zheng-Yi Wang, Cheng Lu, Yi-Kai Wang, Fan Bao, Chong-Xuan Li, Hang Su, Jun Zhu

Neural Information Processing Systems

DOI

2023

Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition

X. Yang, Chang Liu, Long-Long Xu, Yi-Kai Wang, Yin-Peng Dong, Ning Chen, Hang Su, Jun Zhu

Computer Vision and Pattern Recognition

DOI

2023

Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning

Sheng-Fang Zhai, Yin-Peng Dong, Qing-Ni Shen, Shih-Chieh Pu, Yue-Jian Fang, Hang Su

ACM Multimedia

DOI

2023

COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts

Xiaofeng Mao, Yue-Feng Chen, Yao Zhu, Da Chen, Hang Su, Rong Zhang, H. Xue

IEEE International Conference on Computer Vision

DOI

2023

Score Regularized Policy Optimization through Diffusion Behavior

Hua-Yu Chen, Cheng Lu, Zheng-Yi Wang, Hang Su, Jun Zhu

International Conference on Learning Representations

DOI

2023

Towards Viewpoint-Invariant Visual Recognition via Adversarial Training

Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei

IEEE/CVF International Conference on Computer Vision (ICCV)

DOI

2023

FTG: Score-based black-box watermarking by fragile trigger generation for deep model integrity verification

Heng Yin, Zhaoxia Yin, Zhenzhe Gao, Hang Su, Xinpeng Zhang, Bin Luo

Journal of Information and Intelligence

DOI

2023

AdvFAS: A robust face anti-spoofing framework against adversarial examples

Jiawei Chen, Xiao Hui Yang, Heng Yin, Mingzhi Ma, Bihui Chen, Jianteng Peng, Yandong Guo, Zhaoxia Yin, Hang Su

Computer Vision and Image Understanding

DOI

2023

Improving the robustness of adversarial attacks using an affine-invariant gradient estimator

Wenzhao Xiang, Hang Su, Chang Liu, Yandong Guo, Shibao Zheng

Computer Vision and Image Understanding

DOI

2023

Multi-Label Adversarial Attack Based on Label Correlation

Mingzhi Ma, Weijie Zheng, Wanli Lv, Lu Ren, Hang Su, Zhaoxia Yin

Proceedings - International Conference on Image Processing

DOI

2022

基于深度学习的行为识别方法综述

袁首，乔勇军，苏航，陈青华，刘星

《微电子学与计算机》

2022

面向对抗样本的深度神经网络可解释性分析

董胤蓬，苏航，朱军

《自动化学报》

DOI

2022

Probabilistic Neural–Symbolic Models With Inductive Posterior Constraints

Ke Su, Hang Su, Chong-Xuan Li, Jun Zhu, Bo Zhang

IEEE Transactions on Neural Networks and Learning Systems

DOI

2022

Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model

J. Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu

AAAI Conference on Artificial Intelligence

DOI

2022

GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing

Zhongkai Hao, Chengyang Ying, Yin-Peng Dong, Hang Su, Jun Zhu, Jian Song

International Conference on Machine Learning

DOI

2022

A Roadmap for Big Model

Sha Yuan, Hanyu Zhao, Shuai Zhao, Jiahong Leng, Yangxiao Liang, Xiao-Zhi Wang, Ji-Fan Yu, Xin Lv, Zhou Shao, Jiaao He, Yan-Kai Lin, Xu Han, Zheng-Hao Liu, Ning Ding, Yongming Rao, Yizhao Gao, L. Zhang, Ming Ding, Cong Fang, Yisen Wang, Ming-Sheng Long, Jing Zhang, Yin-Peng Dong, Tianyu Pang, Peng Cui, Lingxiao Huang, Zhengxuan Liang, Hua-Wei Shen, Hui Zhang, Quanshi Zhang, Qing-Xiu Dong, Zhi-Xing Tan, Mingxuan Wang, Shuo Wang, Long Zhou, Hao-Ran Li, Junwei Bao, Ying-Wei Pan, Weinan Zhang, Zhou Yu, Rui Yan, Chence Shi, Minghao Xu, Zuo-Bai Zhang, Guoqiang Wang, X. Pan, Meng-Jie Li, Xiaoyu Chu, Zijun Yao, Fangwei Zhu, S. Cao, Wei-Cheng Xue, Zi-Xuan Ma, Zheng-Yan Zhang, Sheng-Ding Hu, Yu-Jia Qin, Chao-Jun Xiao, Zhe-Ni Zeng, Ganqu Cui, Weize Chen, Weilin Zhao, Yuan Yao, Peng Li, Wen-Zhao Zheng, Wen-Liang Zhao, Ziyi Wang, Borui Zhang, Nanyi Fei, Anwen Hu, Zenan Ling, Hao-Yang Li, Bo-Xi Cao, Xian-Pei Han, W. Zhan, Bao-Bao Chang, Hao Sun, Jia Deng, Chu-Jie Zheng, Juan-Zi Li, Lei Hou, Xi-Gong Cao, Ji-Dong Zhai, Zhi-Yuan Liu, Maosong Sun, Ji-Wen Lu, Zhi-Gang Lu, Qing-Yu Jin, Rui-Hua Song, Jiaxin Wen, Zhou Lin, Liwei Wang, Hang Su, Junting Zhu, Zhi-Fang Sui, Jia-Jun Zhang, Yang Liu, Xiao-Dong He, Minlie Huang, Jian Tang, Jie Tang

arXiv.org

DOI

2022

ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints

Yin-Peng Dong, Shou-Wei Ruan, Hang Su, Cai Kang, Xingxing Wei, Junyi Zhu

Neural Information Processing Systems

DOI

2022

Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Zhongkai Hao, Songming Liu, Yi-Chi Zhang, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu

arXiv.org

DOI

2022

Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling

Hua-Yu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu

International Conference on Learning Representations

DOI

2022

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

International Conference on Learning Representations

DOI

2022

All are Worth Words: A ViT Backbone for Diffusion Models

Fan Bao, Shen Nie, Kaiwen Xue, Yue Cao, Chong-Xuan Li, Hang Su, Jun Zhu

Computer Vision and Pattern Recognition

DOI

2022

Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation

Chengyang Ying, Qiao-Ben You, Xinning Zhou, Hang Su, Wen-Bo Ding, Jian-Yong Ai

Pattern Recognition Letters

DOI

2022

Towards generalizable detection of face forgery via self-guided model-agnostic learning

X. Yang, Siyi Liu, Yin-Peng Dong, Hang Su, Lei Zhang, Junyi Zhu

Pattern Recognition Letters

DOI

2022

Model-based Reinforcement Learning with a Hamiltonian Canonical ODE Network

Yao Feng, Yuhong Jiang, Hang Su, Dong Yan, Jun Zhu

arXiv.org

DOI

2022

A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs

Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Ze Cheng

Neural Information Processing Systems

DOI

2022

AutoDA: Automated Decision-based Iterative Adversarial Attacks

Qi-An Fu, Yin-Peng Dong, Hang Su, Jun Zhu, Chao Zhang

USENIX Security Symposium

2022

Controllable Evaluation and Generation of Physical Adversarial Patch on Face Recognition

X. Yang, Yin-Peng Dong, Tianyu Pang, Zi-Hao Xiao, Hang Su, Junyi Zhu

arXiv.org

DOI

2022

Editorial: Applying robotics and AI in pandemics (COVID-19): Detection, diagnosis and delivery

Bin Fang, Hang Su, John Oluwagbemiga Oyekan

Frontiers in Robotics and AI

DOI

2021

Learning Task-Distribution Reward Shaping with Meta-Learning

Haosheng Zou, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu

AAAI Conference on Artificial Intelligence

DOI

2021

Off-Policy Training for Truncated TD(λ) Boosted Soft Actor-Critic

Shiyu Huang, Bin Wang, Hang Su, Dong Li, Jian-Ye Hao, Jun Zhu, Tingling Chen

Pacific Rim International Conference on Artificial Intelligence

DOI

2021

Cluster Attack: Query-based Adversarial Attacks on Graph with Graph-Dependent Priors

Zheng-Yi Wang, Zhongkai Hao, Zi-Qiao Wang, Hang Su, Jun Zhu

International Joint Conference on Artificial Intelligence

DOI

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

International Joint Conference on Artificial Intelligence

DOI

2021

Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Prior

Yin-Peng Dong, Shuyu Cheng, Tianyu Pang, Hang Su, Jun Zhu

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2021

Denoised Internal Models: A Brain-inspired Autoencoder Against Adversarial Attacks

Kaiyuan Liu, Xingyu Li, Yu-Rui Lai, Hang Su, Jiacheng Wang, Chun-Le Guo, Hong Xie, Ji-Song Guan, Yi Zhou

Machine Intelligence Research

DOI

2021

Understanding adversarial attacks on observations in deep reinforcement learning

Qiao-Ben You, Chengyang Ying, Xinning Zhou, Hang Su, Jun Zhu, Bo Zhang

Science China Information Sciences

DOI

2021

Adversarial Training with Rectified Rejection

Tianyu Pang, Huishuai Zhang, Di He, Yin-Peng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu

arXiv.org

2021

Accumulative Poisoning Attacks on Real-time Data

Tianyu Pang, Xiao Yang, Yin-Peng Dong, Hang Su, Jun Zhu

Neural Information Processing Systems

2021

Adversarial Attacks on ML Defense Models Competition

Yin-Peng Dong, Qi-An Fu, Xiao Yang, Wen-Zhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Jia-Yu Tang, Yue-Feng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Ye Liu, Qilong Zhang, Lian-Li Gao, yunrui yu, Xi-Tong Gao, Zhe Zhao, Daquan Lin, Jiadong Lin, Chuan-Biao Song, Zihao Wang, Zhennan Wu, Yang Guo, Jiequan Cui, Xiao-Gang Xu, Peng-Guang Chen

arXiv.org

2021

Query-based Adversarial Attacks on Graph with Fake Nodes

Zheng-Yi Wang, Zhongkai Hao, Hang Su, Jun Zhu

arXiv.org

2021

Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart

Tianyu Pang, Huishuai Zhang, Di He, Yin-Peng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu

Computer Vision and Pattern Recognition

DOI

2021

QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval

Xiao-Dan Li, Jinfeng Li, Yue-Feng Chen, Shao-Kai Ye, Yuan He, Shuhui Wang, Hang Su, Hui Xue

Computer Vision and Pattern Recognition

DOI

2021

Query2Label: A Simple Transformer Way to Multi-Label Classification

Shilong Liu, Lei Zhang, Xiao Yang, Hang Su, Jun Zhu

arXiv.org

2021

Unsupervised Part Segmentation through Disentangling Appearance and Shape

Shilong Liu, Lei Zhang, X. Yang, Hang Su, Jun Zhu

Computer Vision and Pattern Recognition

DOI

2021

Tianshou: a Highly Modularized Deep Reinforcement Learning Library

Jiayi Weng, Hua-Yu Chen, Dong Yan, Kaichao You, Alexis Duburcq, Minghao Zhang, Yi Su, Hang Su, Jun Zhu

Journal of machine learning research

2021

Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness

Xiao Yang, Yin-Peng Dong, Wen-Zhao Xiang, Tianyu Pang, Hang Su, Jun Zhu

arXiv.org

2021

AdvCapsNet: To defense adversarial attacks based on Capsule networks

Yueqiao Li, Hang Su, Jun Zhu

Journal of Visual Communication and Image Representation

DOI

2021

Black-box Detection of Backdoor Attacks with Limited Information and Data

Yin-Peng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zi-Hao Xiao, Hang Su, Jun Zhu

IEEE International Conference on Computer Vision

DOI

2021

Exploring Memorization in Adversarial Training

Yin-Peng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu

International Conference on Learning Representations

2021

Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks

Xiao Yang, Yin-Peng Dong, Tianyu Pang, Hang Su, Jun Zhu

European Conference on Computer Vision

DOI

2021

LiBRe: A Practical Bayesian Approach to Adversarial Detection

Zhijie Deng, Xiao Yang, Shi-Zhen Xu, Hang Su, Jun Zhu

Computer Vision and Pattern Recognition

DOI

2021

Deep reinforcement learning with credit assignment for combinatorial optimization

Dong Yan, Jiayi Weng, Shiyu Huang, Chong-Xuan Li, Yichi Zhou, Hang Su, Jun Zhu

Pattern Recognition

DOI

2021

Unrestricted Adversarial Attacks on ImageNet Competition

Yue-Feng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Yin-Peng Dong, Qi-An Fu, Xiao Yang, Wen-Zhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Fangcheng Liu, Chao Zhang, Hongyang Zhang, Yichi Zhang, Shilong Liu, Chang Liu, Wen-Zhao Xiang, Ya-Jie Wang, Huipeng Zhou, Haoran Lyu, Yidan Xu, Zixuan Xu, Taoyu Zhu, Wen Li, Xianfeng Gao, Guo-Qiu Wang, Huanqian Yan, Yingjie Guo, Chao-Ning Zhang, Zheng Fang, Yang Wang, Bingyang Fu, Yunfei Zheng, Ye-Kui Wang, Hao Luo, Zhen Yang

arXiv.org

2021

Adaptive N-step Bootstrapping with Off-policy Data

Guan Wang, Dong Yan, Hang Su, Jun Zhu

2021

User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization

Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor

IEEE Transactions on Mobile Computing

DOI

2021

Rethinking the Effectiveness of Selective Attention in Neural Networks

Yulong Wang, Xiaolu Zhang, Jun Zhou, Hang Su

Lecture notes in computer science

DOI

2020

基于深度学习的多车道大场景车牌识别研究

苏航，李顶根

《武汉理工大学学报》

2020

Triple-Memory Networks: A Brain-Inspired Method for Continual Learning

Liyuan Wang, Bo Lei, Qian Li, Hang Su, Jun Zhu, Yi Zhong

IEEE Transactions on Neural Networks and Learning Systems

DOI

2020

Dynamic Network Pruning with Interpretable Layerwise Channel Selection

Yulong Wang, Xiaolu Zhang, Xiao-Lin Hu, Bo Zhang, Hang Su

AAAI Conference on Artificial Intelligence

DOI

2020

Composite Adversarial Attacks

Xiaofeng Mao, Yue-Feng Chen, Shuhui Wang, Hang Su, Yuan He, Hui Xue

AAAI Conference on Artificial Intelligence

DOI

2020

Delving into the Adversarial Robustness on Face Recognition

Xiao Yang, Dingcheng Yang, Yin-Peng Dong, Wenjian Yu, Hang Su, Jun Zhu

arXiv.org

2020

Discrete Memory Addressing Variational Autoencoder for Visual Concept Learning

Yanze Min, Hang Su, Jun Zhu, Bo Zhang

IEEE International Joint Conference on Neural Network

DOI

2020

SVQN: Sequential Variational Soft Q-Learning Networks

Shi-Yu Huang, Hang Su, Jun Zhu, Tingling Chen

International Conference on Learning Representations

2020

Interpret Neural Networks by Extracting Critical Subnetworks

Yulong Wang, Hang Su, Bo Zhang, Xiao-Lin Hu

IEEE Transactions on Image Processing

DOI

2020

Toward Accurate Visual Reasoning With Dual-Path Neural Module Networks

Ke Su, Hang Su, Jianguo Li, Jun Zhu

Frontiers in Robotics and AI

DOI

2020

Benchmarking Adversarial Robustness on Image Classification

Yin-Peng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zi-Hao Xiao, Jun Zhu

Computer Vision and Pattern Recognition

DOI

2020

Boosting the Robustness of Capsule Networks with Diverse Ensemble

Yueqiao Li, Hang Su, Jun Zhu, Jun Zhou

International Conference on Information and Software Technologies

DOI

2020

Bi-level Score Matching for Learning Energy-based Latent Variable Models

Fan Bao, Chong-Xuan Li, Kun Xu, Hang Su, Jun Zhu, Bo Zhang

Neural Information Processing Systems

2020

Visual Genealogy of Deep Neural Networks

Qian-Wen Wang, Jun Yuan, Shuxin Chen, Hang Su, Hua-Min Qu, Shi-Xia Liu

IEEE Transactions on Visualization and Computer Graphics

DOI

2020

Defense Against Adversarial Attacks via Controlling Gradient Leaking on Embedded Manifolds

Yue-Ru Li, Shuyu Cheng, Hang Su, Jun Zhu

European Conference on Computer Vision

DOI

2020

OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples

Changjian Chen, Jun Yuan, Yafeng Lu, Yang Liu, Hang Su, Songtao Yuan, Shi-Xia Liu

IEEE Transactions on Visualization and Computer Graphics

DOI

2020

Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters

Haoyun Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shutao Xia, Jun Zhu, Bo Zhang

European Conference on Computer Vision

DOI

2020

Analyzing the Noise Robustness of Deep Neural Networks

Kelei Cao, Mengchen Liu, Hang Su, Jing Wu, Jun Zhu, Shi-Xia Liu

IEEE Transactions on Visualization and Computer Graphics

DOI

2020

Model-based Credit Assignment for Model-free Deep Reinforcement Learning

Dong Yan, Jiayi Weng, Shi-Yu Huang, Chong-Xuan Li, Yichi Zhou, Hang Su, Jun Zhu

2020

Towards Face Encryption by Generating Adversarial Identity Masks

Xiao Yang, Yin-Peng Dong, Tianyu Pang, Hang Su, Jun Zhu, Yue-Feng Chen, H. Xue

IEEE International Conference on Computer Vision

DOI

2020

Boosting Adversarial Training with Hypersphere Embedding

Tianyu Pang, Xiao Yang, Yin-Peng Dong, Kun Xu, Hang Su, Jun Zhu

Neural Information Processing Systems

2020

Bag of Tricks for Adversarial Training

Tianyu Pang, Xiao Yang, Yin-Peng Dong, Hang Su, Jun Zhu

International Conference on Learning Representations

2020

Adversarial Distributional Training for Robust Deep Learning

Yin-Peng Dong, Zhijie Deng, Tianyu Pang, Jun Zhu, Hang Su

Neural Information Processing Systems

2020

Learning Reliable Visual Saliency For Model Explanations

Yulong Wang, Hang Su, Bo Zhang, Xiao-Lin Hu

IEEE transactions on multimedia

DOI

2020

Error-Silenced Quantization: Bridging Robustness and Compactness

Zhi-Cong Tang, Yin-Peng Dong, Hang Su

AISafety@IJCAI

2020

Error-Silenced Quantization: Bridging Robustness and Compactness.

Zhicong Tang, Yinpeng Dong, Hang Su

International Joint Conference on Artificial Intelligence

2020

Gradient-based conditional generative adversarial network for non-uniform blind deblurring via DenseResNet

Hongtian Zhao, Di Wu, Hang Su, Shibao Zheng, Jie Chen

Journal of Visual Communication and Image Representation

DOI

2020

Convolutional neural network with adaptive inferential framework for skeleton-based action recognition

Hong’en Huang, Hang Su, Zhigang Chang, Mingyang Yu, Jialin Gao, Xinzhe Li, Shibao Zheng

Journal of Visual Communication and Image Representation

DOI

2020

GlobalInsight: An LSTM Based Model for Multi-Vehicle Trajectory Prediction

Wenquan Xu, Zhikang Chen, Chuwen Zhang, Xuefeng Ji, Yunsheng Wang, Hang Su, Bin Liu

International Conference on Communications

DOI

2020

Weighted bilinear coding over salient body parts for person re-identification

Zhigang Chang, Qin Zhou, Heng Fan, Hang Su, Hua Yang, Shibao Zheng, Haibin Ling

Neurocomputing

DOI

2020

Natural Image Deblurring Based on Ringing Artifacts Removal via Knowledge-Driven Gradient Distribution Priors

Hongtian Zhao, Hua Shu Yang, Hang Su, Shibao Zheng

IEEE Access

DOI

2019

Pruning from Scratch

Yulong Wang, Xiaolu Zhang, Ling-Xi Xie, Jun Zhou, Hang Su, Bo Zhang, Xiao-Lin Hu

AAAI Conference on Artificial Intelligence

DOI

2019

Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning

Shihong Song, Jiayi Weng, Hang Su, Dong Yan, Haosheng Zou, Jun Zhu

International Joint Conference on Artificial Intelligence

DOI

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

CVPR Workshops

2019

Learn a Robust Policy in Adversarial Games via Playing with an Expert Opponent

J. Li, Tongzheng Ren, Hang Su, Jun Zhu

Adaptive Agents and Multi-Agent Systems

DOI

2019

Towards controllable image descriptions with semi-supervised VAE

Nikolai Zakharov, Hang Su, Jun Zhu, Jan Gläscher

Journal of Visual Communication and Image Representation

DOI

2019

Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition

Yin-Peng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, W. Liu, Tong Zhang, Jun Zhu

Computer Vision and Pattern Recognition

DOI

2019

Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks

Yin-Peng Dong, Tianyu Pang, Hang Su, Jun Zhu

Computer Vision and Pattern Recognition

DOI

2019

Boosting Generative Models by Leveraging Cascaded Meta-Models

Fan Bao, Hang Su, Jun Zhu

arXiv.org

2019

Interpretable Disentanglement of Neural Networks by Extracting Class-Specific Subnetwork

Yulong Wang, Xiao-Lin Hu, Hang Su

arXiv.org

2019

Improving Black-box Adversarial Attacks with a Transfer-based Prior

Shuyu Cheng, Yin-Peng Dong, Tianyu Pang, Hang Su, Jun Zhu

Neural Information Processing Systems

2019

Pixel-Adaptive Convolutional Neural Networks

Hang Su, V. Jampani, Deqing Sun, O. Gallo, Erik G. Learned-Miller, Jan Kautz

Computer Vision and Pattern Recognition

DOI

2019

Robust and Efficient Graph Correspondence Transfer for Person Re-Identification

Qin Zhou, Heng Fan, Hua Yang, Hang Su, Shibao Zheng, Shuang Wu, Haibin Ling

IEEE Transactions on Image Processing

DOI

2018

Adaptive fuzzy control for pure-feedback stochastic nonlinear systems with unknown dead zone outputs

Hang Su, Weihai Zhang

International Journal Of Systems Science，Vol. 490, No. 14

DOI

2018

基于深度学习的学生课堂异常行为检测与分析系统

廖鹏，刘宸铭，苏航，李启芳，韩延巾

《电子世界》

2018

Interpret Neural Networks by Identifying Critical Data Routing Paths

Yulong Wang, Hang Su, Bo Zhang, Xiao-Lin Hu

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

DOI

2018

Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process

Haosheng Zou, Hang Su, Shihong Song, Jun Zhu

AAAI Conference on Artificial Intelligence

DOI

2018

Textbook Question Answering Under Instructor Guidance with Memory Networks

Ju-Zheng Li, Hang Su, Jun Zhu, Siyu Wang, Bo Zhang

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

DOI

2018

SPLATNet: Sparse Lattice Networks for Point Cloud Processing

Hang Su, V. Jampani, Deqing Sun, Subhransu Maji, E. Kalogerakis, Ming-Hsuan Yang, Jan Kautz

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

DOI

2018

Deep Structured Generative Models

Kun Xu, Haoyun Liang, Jun Zhu, Hang Su, Bo Zhang

arXiv.org

2018

Video-to-Video Translation with Global Temporal Consistency

Xingxing Wei, Jun Zhu, Si-Tong Feng, Hang Su

ACM Multimedia

DOI

2018

Evading Defenses to Transferable Adversarial Examples by Mitigating Attention Shift

Yin-Peng Dong, Tianyu Pang, Hang Su, Jun Zhu

2018

Learning to Assign Credit in Reinforcement Learning by Incorporating Abstract Relations

Dong Yan, Shi-Yu Huang, Hang Su, Jun Zhu

2018

Essay-Anchor Attentive Multi-Modal Bilinear Pooling for Textbook Question Answering

Ju-Zheng Li, Hang Su, Jun Zhu, Bo Zhang

IEEE International Conference on Multimedia and Expo

DOI

2018

Geometric Universality of Adversarial Examples in Deep Learning

Haosheng Zou, Hang Su, Tianyu Pang, Jun Zhu

2018

Sample-efficient policy learning in multi-agent Reinforcement Learning via meta-learning

Jia-Lian Li, Hang Su, Jun Zhu

2018

Noise Robustness

Kelei Cao, Mengchen Liu, Hang Su, Jing Wu, Jun Zhu, Shi-Xia Liu

The Speaker and Language Recognition Workshop

2018

Graph Correspondence Transfer for Person Re-Identification

Qin Zhou, Heng Fan, Shibao Zheng, Hang Su, Xinzhe Li, Shuang Wu, Haibin Ling

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2018

Recognizing Minimal Facial Sketch by Generating Photorealistic Faces With the Guidance of Descriptive Attributes

Xiao Yang, Hang Su, Qin Zhou, Xinzhe Li, Shibao Zheng

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2018

Recognizing Facial Sketches by Generating Photorealistic Faces Guided by Descriptive Attributes

Xinzhe Li, Xiao Yang, Hang Su, Qin Zhou, Shibao Zheng

IEEE Access

DOI

2017

Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization

Wenbo Hu, Jun Zhu, Hang Su, Jingwei Zhuo, Bo Zhang

International Joint Conference on Artificial Intelligence

DOI

2017

Boosting Adversarial Attacks with Momentum

Yin-Peng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiao-Lin Hu, Jianguo Li

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

DOI

2017

Learning to Write Stylized Chinese Characters by Reading a Handful of Examples

Danyang Sun, Tongzheng Ren, Chong-Xuan Li, Hang Su, Jun Zhu

International Joint Conference on Artificial Intelligence

DOI

2017

Forecast the Plausible Paths in Crowd Scenes

Hang Su, Jun Zhu, Yin-Peng Dong, Bo Zhang

International Joint Conference on Artificial Intelligence

DOI

2017

Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization

Yin-Peng Dong, Renkun Ni, Jianguo Li, Yurong Chen, Jun Zhu, Hang Su

British Machine Vision Conference

DOI

2017

SAM: Semantic Attribute Modulated Language Modeling

Wenbo Hu, Lifeng Hua, Lei Li, Tian Wang, Jun Zhu, Hang Su, Bo Zhang

arXiv.org

2017

Special Issue on Biomedical Big Data: Understanding, Learning and Applications

Jun Zhu, An-An Liu, Mei Chen, Tolga Tasdizen, Hang Su

IEEE Transactions on Big Data

DOI

2017

Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples

Yin-Peng Dong, Fan Bao, Hang Su, Jun Zhu

arXiv.org

2017

Improving Interpretability of Deep Neural Networks with Semantic Information

Yin-Peng Dong, Hang Su, Jun Zhu, Bo Zhang

Computer Vision and Pattern Recognition

DOI

2017

End-to-End Face Detection and Cast Grouping in Movies Using Erdös-Rényi Clustering

SouYoung Jin, Hang Su, C. Stauffer, Erik G. Learned-Miller

IEEE International Conference on Computer Vision

DOI

2017

Joint dictionary and metric learning for person re-identification

Qin Zhou, Shibao Zheng, Haibin Ling, Hang Su, Shuang Wu

Pattern Recognition

DOI

2017

Motion sketch based crowd video retrieval

Shuang Wu, Hua Yang, Shibao Zheng, Hang Su, Qin Zhou, Lu Xu

Multimedia Tools and Applications

DOI

2016

Crowd Scene Understanding with Coherent Recurrent Neural Networks

Hang Su, Yin-Peng Dong, Jun Zhu, H. Ling, Bo Zhang

International Joint Conference on Artificial Intelligence

2016

Neuron Segmentation Based on CNN with Semi-Supervised Regularization

Kun Xu, Hang Su, Jun Zhu, Ji-Song Guan, Bo Zhang

2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

DOI

2016

Efficient and Robust Semi-supervised Learning Over a Sparse-Regularized Graph

Hang Su, Jun Zhu, Zhaozheng Yin, Yin-Peng Dong, Bo Zhang

European Conference on Computer Vision

DOI

2016

Large-Scale 3D Shape Retrieval from ShapeNet Core55

M. Savva, Fisher Yu, Hao Su, Masaki Aono, Bao-Quan Chen, D. Cohen-Or, W. Deng, Hang Su, S. Bai, Xiang Bai, N. Fish, Jiajie Han, E. Kalogerakis, Erik G. Learned-Miller, Yangyan Li, Minghui Liao, Subhransu Maji, A. Tatsuma, Yida Wang, Nan Zhang, Zhi-Chao Zhou

3DOR@Eurographics

DOI

2016

Motion sketch based crowd video retrieval via motion structure coding

Shuang Wu, Hang Su, Shibao Zheng, Hua Yang, Qin Zhou

Proceedings - International Conference on Image Processing

DOI

2016

Resolution adaptive feature extracting and fusing framework for person re-identification

Hua Yang, Xinyu Wang, Ji Zhu, Wenqi Ma, Hang Su

Neurocomputing

DOI

2016

Joint instance and feature importance re-weighting for person reidentification

Qin Zhou, Shibao Zheng, Hua Yang, Yu Wang, Hang Su

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2015

Multi-view Convolutional Neural Networks for 3D Shape Recognition

Hang Su, Subhransu Maji, E. Kalogerakis, Erik G. Learned-Miller

IEEE International Conference on Computer Vision

DOI

2015

Active sample selection and correction propagation on a gradually-augmented graph

Hang Su, Zhaozheng Yin, Takeo Kanade A, Seungil Huh

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2015

Cell-sensitive phase contrast microscopy imaging by multiple exposures

Zhaozheng Yin, Hang Su, Dai Fei Elmer Ker, Mingzhong Li, Haohan Li

Medical Image Analysis

DOI

2015

Towards active annotation for detection of numerous and scattered objects

Hang Su, Hua Yang, Shibao Zheng, Sha Wei, Yu Wang, Shuang Wu

IEEE International Conference on Multimedia and Expo (ICME)

DOI

2014

The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding

G. Patterson, Chen Xu, Hang Su, James Hays

International Journal of Computer Vision

DOI

精选作品

期刊论文

具有误差约束的机械臂系统自适应强化学习控制

基于改进匈牙利匹配算法的激光雷达与摄像机目标高精度融合研究

ReflexDiffusion: Reflection-Enhanced Trajectory Planning for High-lateral-acceleration Scenarios in Autonomous Driving

Geometry-Aware Rotary Position Embedding for Consistent Video World Model

Improving Viewpoint Robustness for Visual Recognition via Adversarial Training

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents

Crafting Physical Adversarial Examples by Combining Differentiable and Physically Based Renders

Visual Generation Without Guidance

Understanding and Improving Information Preservation in Prompt Compression for LLMs

AgentBay: A Hybrid Interaction Sandbox for Seamless Human-AI Intervention in Agentic Systems

VASP Agent: An Agentic Framework for Autonomous First-principles Calculations

DiffusionNFT: Online Diffusion Reinforcement with Forward Process

From reactive to cognitive: brain-inspired spatial intelligence for embodied agents

Vidar: Embodied Video Diffusion Model for Generalist Bimanual Manipulation

Towards the Worst-case Robustness of Large Language Models

HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning

Distributionally Location-Aware Transferable Adversarial Patches for Facial Images

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning

ImAdv: Transferable Implicit Adversarial Attack for 3D Object Detectors in Autonomous Driving

Improving model generalization by on-manifold adversarial augmentation in the frequency domain

RobustPrompt: Learning to defend against adversarial attacks with adaptive visual prompts

Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre-Training Models With Contrastive Learning

RoboEngine: Plug-and-Play Robot Data Augmentation with Semantic Robot Segmentation and Background Generation

利用SAM大模型对SAR影像配准的深度学习方法

基于深度强化学习的多无人机协同打击方法研究

MicroDreamer: Efficient 3D Generation in $\sim$20 Seconds by Score-based Iterative Reconstruction.

DIFFender: Diffusion-Based Adversarial Defense Against Patch Attacks

Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment

BlobGEN-3D: Compositional 3D-Consistent Freeview Image Generation with 3D Blobs

CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model

Noise Contrastive Alignment of Language Models with Explicit Rewards

RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

Diffusion Models are Certifiably Robust Classifiers

Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control

LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models

FeedFace: Efficient Inference-based Face Personalization via Diffusion Models

Face3DAdv: Exploiting Robust Adversarial 3D Patches on Physical Face Recognition

CamoEnv: Transferable and environment-consistent adversarial camouflage in autonomous driving

Empowering Object Detection: Unleashing the Potential of Decoupled and Interactive Distillation

Controllable Navigation Instruction Generation with Chain of Thought Prompting

Exploring the Robustness of Decision-Level Through Adversarial Attacks on LLM-Based Embodied Models

ANF: Crafting Transferable Adversarial Point Clouds via Adversarial Noise Factorization

Towards Transferable Targeted 3D Adversarial Attack in the Physical World

Exploring the Transferability of Visual Prompting for Multimodal Large Language Models

WFSS: weighted fusion of spectral transformer and spatial self-attention for robust hyperspectral image classification against adversarial attacks

基于深度学习的足球精彩视频检测技术的研究与应用

NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data

Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning

GNOT: A General Neural Operator Transformer for Operator Learning

Robust Classification via a Single Diffusion Model

A Comprehensive Survey of Continual Learning: Theory, Method and Application

A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking

One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale

Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning

On the Reuse Bias in Off-Policy Reinforcement Learning

Distributional Modeling for Location-Aware Adversarial Patches

Reward Informed Dreamer for Task Generalization in Reinforcement Learning

Competition on robust deep learning

PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs

Incorporating neuro-inspired adaptability for continual learning in artificial intelligence

A Closer Look at Parameter-Efficient Tuning in Diffusion Models

Toward the third generation artificial intelligence

DIVA: A Dirichlet Process Mixtures Based Incremental Deep Clustering Algorithm via Variational Auto-Encoder

To Make Yourself Invisible with Adversarial Semantic Contours

How Robust is Google's Bard to Adversarial Image Attacks?

Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation

Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition

Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning

COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts

Score Regularized Policy Optimization through Diffusion Behavior

Towards Viewpoint-Invariant Visual Recognition via Adversarial Training

FTG: Score-based black-box watermarking by fragile trigger generation for deep model integrity verification

AdvFAS: A robust face anti-spoofing framework against adversarial examples

Improving the robustness of adversarial attacks using an affine-invariant gradient estimator

Multi-Label Adversarial Attack Based on Label Correlation

基于深度学习的行为识别方法综述

面向对抗样本的深度神经网络可解释性分析