Jun Zhu

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 378

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)
Jinlai Zhang, Yinpeng Dong, Jun Zhu, Jihong Zhu, Minchi Kuang, Xiaming Yuan
Improving transferability of 3D adversarial attacks with scale and shear transformations. Inf. Sci. 662 (2024)
Wentse Chen, Shiyu Huang, Yuan Chiang, Tim Pearce, Wei-Wei Tu, Ting Chen, Jun Zhu
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization. AAAI (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)
Fan Bao, Chendong Xiang, Gang Yue, Guande He, Hongzhou Zhu, Kaiwen Zheng, Min Zhao, Shilong Liu, Yaole Wang, Jun Zhu
Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models. CoRR (2024)
Shuyu Cheng, Yibo Miao, Yinpeng Dong, Xiao Yang, Xiao-Shan Gao, Jun Zhu
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior. CoRR (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)
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)
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)
Yibo Miao, Yifan Zhu, Yinpeng Dong, Lijia Yu, Jun Zhu, Xiao-Shan Gao
T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models. CoRR (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)
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)
Min Zhao, Hongzhou Zhu, Chendong Xiang, Kaiwen Zheng, Chongxuan Li, Jun Zhu
Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model. CoRR (2024)
Han Liu, Peng Cui, Bingning Wang, Jun Zhu, Xiaolin Hu
Accurate and Reliable Predictions with Mutual-Transport Ensemble. 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)
Jianhui Li, Shilong Liu, Zidong Liu, Yikai Wang, Kaiwen Zheng, Jinghui Xu, Jianmin Li, Jun Zhu
InstructPix2NeRF: Instructed 3D Portrait Editing from a Single Image. ICLR (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)
Tianjiao Luo, Tim Pearce, Huayu Chen, Jianfei Chen, Jun Zhu
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory. CoRR (2024)
Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations. KDD (2023)
Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs. ICML (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. NeurIPS (2023)
Ziyu Wang, Binjie Yuan, Jiaxun Lu, Bowen Ding, Yunfeng Shao, Qibin Wu, Jun Zhu
A constrained Bayesian approach to out-of-distribution prediction. UAI (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)
Yichi Zhang, Zijian Zhu, Hang Su, Jun Zhu, Shibao Zheng, Yuan He, Hui Xue
To Make Yourself Invisible with Adversarial Semantic Contours. CoRR (2023)
Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs. 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)
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) (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)
Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling. ICLR (2023)
Feng Zhou, Quyu Kong, Zhijie Deng, Fengxiang He, Peng Cui, Jun Zhu
Heterogeneous multi-task Gaussian Cox processes. Mach. Learn. 112 (12) (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)
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)
Fan Bao, Min Zhao, Zhongkai Hao, Peiyao Li, Chongxuan Li, Jun Zhu
Equivariant Energy-Guided SDE for Inverse Molecular Design. ICLR (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)
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)
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)
Yuhao Zhou, Chenglong Bao, Chao Ding, Jun Zhu
A semismooth Newton based augmented Lagrangian method for nonsmooth optimization on matrix manifolds. Math. Program. 201 (1) (2023)
Zehua Chen, Guande He, Kaiwen Zheng, Xu Tan, Jun Zhu
Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis. CoRR (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)
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)
Jianhui Li, Jianmin Li, Haoji Zhang, Shilong Liu, Zhengyi Wang, Zihao Xiao, Kaiwen Zheng, Jun Zhu
PREIM3D: 3D Consistent Precise Image Attribute Editing from a Single Image. CoRR (2023)
Min Zhao, Rongzhen Wang, Fan Bao, Chongxuan Li, Jun Zhu
ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing. CoRR (2023)
Zhanhao Hu, Jun Zhu, Bo Zhang, Xiaolin Hu
Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness. CoRR (2023)
Zhijie Deng, Peng Cui, Jun Zhu
Towards Accelerated Model Training via Bayesian Data Selection. NeurIPS (2023)
Liyuan Wang, Xingxing Zhang, Hang Su, Jun Zhu
A Comprehensive Survey of Continual Learning: Theory, Method and Application. 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)
Zhijie Deng, Yinpeng Dong, Jun Zhu
Batch virtual adversarial training for graph convolutional networks. AI Open 4 (2023)
Huanran Chen, Yichi Zhang, Yinpeng Dong, Jun Zhu
Rethinking Model Ensemble in Transfer-based Adversarial Attacks. CoRR (2023)
Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu
Exploring Memorization in Adversarial Training. ICLR (2022)
Shih-Han Chan, Yinpeng Dong, Jun Zhu, Xiaolu Zhang, Jun Zhou
BadDet: Backdoor Attacks on Object Detection. ECCV Workshops (1) (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)
Yibo Miao, Yinpeng Dong, Jun Zhu, Xiao-Shan Gao
Isometric 3D Adversarial Examples in the Physical World. NeurIPS (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)
Ziyu Wang, Yuhao Zhou, Jun Zhu
Fast Instrument Learning with Faster Rates. CoRR (2022)
Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching. ICML (2022)
Ziyu Wang, Yuhao Zhou, Jun Zhu
Fast Instrument Learning with Faster Rates. NeurIPS (2022)
Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Dong Yan, Jun Zhu
On the Reuse Bias in Off-Policy Reinforcement Learning. CoRR (2022)
Zhijie Deng, Feng Zhou, Jianfei Chen, Guoqiang Wu, Jun Zhu
Deep Ensemble as a Gaussian Process Approximate Posterior. 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)
Qi-An Fu, Yinpeng Dong, Hang Su, Jun Zhu, Chao Zhang
AutoDA: Automated Decision-based Iterative Adversarial Attacks. USENIX Security Symposium (2022)
Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations. NeurIPS (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)
Hongyang Gu, Jianmin Li, Guangyuan Fu, Min Yue, Jun Zhu
Loss function search for person re-identification. Pattern Recognit. 124 (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)
Siyu Wang, Jianfei Chen, Chongxuan Li, Jun Zhu, Bo Zhang
Fast Lossless Neural Compression with Integer-Only Discrete Flows. ICML (2022)
Siyu Wang, Jianfei Chen, Chongxuan Li, Jun Zhu, Bo Zhang
Fast Lossless Neural Compression with Integer-Only Discrete Flows. CoRR (2022)
Shih-Han Chan, Yinpeng Dong, Jun Zhu, Xiaolu Zhang, Jun Zhou
BadDet: Backdoor Attacks on Object Detection. CoRR (2022)
Zhijie Deng, Feng Zhou, Jun Zhu
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning. NeurIPS (2022)
Weikai Yang, Xi Ye, Xingxing Zhang, Lanxi Xiao, Jiazhi Xia, Zhongyuan Wang, Jun Zhu, Hanspeter Pfister, Shixia Liu
Diagnosing Ensemble Few-Shot Classifiers. CoRR (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)
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps. 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)
Hongyang Gu, Jianmin Li, Guangyuan Fu, Chifong Wong, Xinghao Chen, Jun Zhu
AutoLoss-GMS: Searching Generalized Margin-based Softmax Loss Function for Person Re-identification. CVPR (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)
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps. NeurIPS (2022)
Chongxuan Li, Kun Xu, Jun Zhu, Jiashuo Liu, Bo Zhang
Triple Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu
Why Are Conditional Generative Models Better Than Unconditional Ones? CoRR (2022)
Ziyu Wang, Yucen Luo, Yueru Li, Jun Zhu, Bernhard Schölkopf
Spectral Representation Learning for Conditional Moment Models. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jun Zhu