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ORCIDJun Zhu 0001
Person information
- affiliation: Tsinghua University, State Key Laboratory of Intelligent Technology and Systems, TNList, Beijing, China
- affiliation: Tsinghua University, Department of Computer Science and Technology, Beijing, China
- affiliation (former): Carnegie Mellon University, Machine Learning Department, Pittsburgh, PA, USA
Other persons with the same name
- Jun Zhu — disambiguation page
- Jun Zhu 0002 — University of North Carolina at Charlotte, Charlotte, NC, USA
- Jun Zhu 0003 — Technical University of Eindhoven, The Netherlands
- Jun Zhu 0004 — Nanjing Normal University, China
- Jun Zhu 0005
![[0000-0002-1773-548X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-1773-548X")
— The University of British Columbia, Department of Electrical and Computer Engineering, Vancouver, BC, Canada - Jun Zhu 0006 — Xiamen University, Department of Chemistry, China (and 1 more)
- Jun Zhu 0007 — Southwest Jiaotong University, Faculty of Geosciences and Environmental Engineering, Chengdu, China
- Jun Zhu 0008 — Nanjing University of Information Science and Technology, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, China (and 2 more)
- Jun Zhu 0009 — University of Electronic Science and Technology of China, School of Electronic Engineering, Chengdu, China
- Jun Zhu 0010 — Jinling Institute of Technology, Nanjing, China (and 1 more)
- Jun Zhu 0011 — Royal Institute of Technology, Stockholm, Sweden
- Jun Zhu 0012 — Northwestern Polytechnical University, Department of Civil Aviation, Xi'an, China (and 1 more)
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2020 – today
- 2023
[j52]Bo Zhang, Jun Zhu, Hang Su:
Toward the third generation artificial intelligence. Sci. China Inf. Sci. 66(2) (2023)- [j51]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) - [i207]Liyuan Wang, Xingxing Zhang, Hang Su, Jun Zhu:
A Comprehensive Survey of Continual Learning: Theory, Method and Application. CoRR abs/2302.00487 (2023) - [i206]Chenyu Zheng, Guoqiang Wu, Fan Bao, Yue Cao, Chongxuan Li, Jun Zhu:
Revisiting Discriminative vs. Generative Classifiers: Theory and Implications. CoRR abs/2302.02334 (2023) - [i205]Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu:
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels. CoRR abs/2302.10586 (2023) - [i204]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) - [i203]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) - [i202]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) - [i201]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) - [i200]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) - [i199]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) - [i198]Huanran Chen, Yichi Zhang, Yinpeng Dong, Jun Zhu:
Rethinking Model Ensemble in Transfer-based Adversarial Attacks. CoRR abs/2303.09105 (2023) - [i197]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) - [i196]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) - [i195]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) - [i194]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) - [i193]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 abs/2304.10263 (2023) - [i192]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) - [i191]Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu:
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs. CoRR abs/2305.03935 (2023) - 2022
- [j50]Zhanhao Hu, Jun Zhu, Bo Zhang, Xiaolin Hu:
Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness. Neurocomputing 505: 142-153 (2022) - [j49]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): 9536-9548 (2022) - [j48]Chongxuan Li, Kun Xu, Jun Zhu, Jiashuo Liu, Bo Zhang:
Triple Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9629-9640 (2022) - [j47]Hongyang Gu, Jianmin Li, Guangyuan Fu, Min Yue, Jun Zhu:
Loss function search for person re-identification. Pattern Recognit. 124: 108432 (2022) - [j46]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: 108466 (2022) - [j45]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: 98-104 (2022) - [j44]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): 1925-1934 (2022) - [j43]Weikai Yang, Xi Ye, Xingxing Zhang, Lanxi Xiao, Jiazhi Xia, Zhongyuan Wang, Jun Zhu, Hanspeter Pfister, Shixia Liu:
Diagnosing Ensemble Few-Shot Classifiers. IEEE Trans. Vis. Comput. Graph. 28(9): 3292-3306 (2022) - [c204]Jialian Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu:
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model. AAAI 2022: 7417-7425 - [c203]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: 4734-4743 - [c202]Nanyang Ye, Kaican Li, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu:
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization. CVPR 2022: 7937-7948 - [c201]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: 15202-15212 - [c200]Liyuan Wang, Xingxing Zhang, Qian Li, Jun Zhu, Yi Zhong:
CoSCL: Cooperation of Small Continual Learners is Stronger Than a Big One. ECCV (26) 2022: 254-271 - [c199]Shih-Han Chan, Yinpeng Dong, Jun Zhu, Xiaolu Zhang, Jun Zhou:
BadDet: Backdoor Attacks on Object Detection. ECCV Workshops (1) 2022: 396-412 - [c198]Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu:
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks. ECCV (4) 2022: 725-742 - [c197]Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang:
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models. ICLR 2022 - [c196]Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu:
Exploring Memorization in Adversarial Training. ICLR 2022 - [c195]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 - [c194]Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu:
Memory Replay with Data Compression for Continual Learning. ICLR 2022 - [c193]Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang:
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models. ICML 2022: 1555-1584 - [c192]Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jian Song, Jun Zhu:
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing. ICML 2022: 8465-8483 - [c191]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: 14429-14460 - [c190]Tianyu Pang, Min Lin, Xiao Yang, Jun Zhu, Shuicheng Yan:
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition. ICML 2022: 17258-17277 - [c189]Siyu Wang, Jianfei Chen, Chongxuan Li, Jun Zhu, Bo Zhang:
Fast Lossless Neural Compression with Integer-Only Discrete Flows. ICML 2022: 22562-22575 - [c188]Zhengyi Wang, Zhongkai Hao, Ziqiao Wang, Hang Su, Jun Zhu:
Cluster Attack: Query-based Adversarial Attacks on Graph with Graph-Dependent Priors. IJCAI 2022: 768-775 - [c187]Chengyang Ying, Xinning Zhou, Hang Su, Dong Yan, Ning Chen, Jun Zhu:
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk. IJCAI 2022: 3673-3680 - [c186]Xingxing Zhang, Zhizhe Liu, Weikai Yang, Liyuan Wang, Jun Zhu:
The More, The Better? Active Silencing of Non-Positive Transfer for Efficient Multi-Domain Few-Shot Classification. ACM Multimedia 2022: 1993-2001 - [c185]Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu:
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations. NeurIPS 2022 - [c184]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 - [c183]Peng Cui, Yang Yue, Zhijie Deng, Jun Zhu:
Confidence-based Reliable Learning under Dual Noises. NeurIPS 2022 - [c182]Zhijie Deng, Feng Zhou, Jun Zhu:
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning. NeurIPS 2022 - [c181]Yinpeng Dong, Shouwei Ruan, Hang Su, Caixin Kang, Xingxing Wei, Jun Zhu:
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints. NeurIPS 2022 - [c180]Yibo Miao, Yinpeng Dong, Jun Zhu, Xiao-Shan Gao:
Isometric 3D Adversarial Examples in the Physical World. NeurIPS 2022 - [c179]Ziyu Wang, Yuhao Zhou, Jun Zhu:
Fast Instrument Learning with Faster Rates. NeurIPS 2022 - [c178]Qi-An Fu, Yinpeng Dong, Hang Su, Jun Zhu, Chao Zhang:
AutoDA: Automated Decision-based Iterative Adversarial Attacks. USENIX Security Symposium 2022: 3557-3574 - [i190]Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang:
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models. CoRR abs/2201.06503 (2022) - [i189]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. CoRR abs/2201.12329 (2022) - [i188]Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu:
Memory Replay with Data Compression for Continual Learning. CoRR abs/2202.06592 (2022) - [i187]Tianyu Pang, Min Lin, Xiao Yang, Jun Zhu, Shuicheng Yan:
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition. CoRR abs/2202.10103 (2022) - [i186]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 abs/2203.03605 (2022) - [i185]Xiao Yang, Yinpeng Dong, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu:
Controllable Evaluation and Generation of Physical Adversarial Patch on Face Recognition. CoRR abs/2203.04623 (2022) - [i184]Yinpeng Dong, Shuyu Cheng, Tianyu Pang, Hang Su, Jun Zhu:
Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Prior. CoRR abs/2203.06560 (2022) - [i183]Jialian Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu:
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model. CoRR abs/2203.06587 (2022) - [i182]Zhijie Deng, Feng Zhou, Jianfei Chen, Guoqiang Wu, Jun Zhu:
Deep Ensemble as a Gaussian Process Approximate Posterior. CoRR abs/2205.00163 (2022) - [i181]Ziyu Wang, Yuhao Zhou, Jun Zhu:
Fast Instrument Learning with Faster Rates. CoRR abs/2205.10772 (2022) - [i180]Shih-Han Chan, Yinpeng Dong, Jun Zhu, Xiaolu Zhang, Jun Zhou:
BadDet: Backdoor Attacks on Object Detection. CoRR abs/2205.14497 (2022) - [i179]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 abs/2206.00927 (2022) - [i178]Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jun Zhu, Jian Song:
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing. CoRR abs/2206.04310 (2022) - [i177]Weikai Yang, Xi Ye, Xingxing Zhang, Lanxi Xiao, Jiazhi Xia, Zhongyuan Wang, Jun Zhu, Hanspeter Pfister, Shixia Liu:
Diagnosing Ensemble Few-Shot Classifiers. CoRR abs/2206.04372 (2022) - [i176]Chengyang Ying, Xinning Zhou, Hang Su, Dong Yan, Ning Chen, Jun Zhu:
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk. CoRR abs/2206.04436 (2022) - [i175]You Qiaoben, Chengyang Ying, Xinning Zhou, Hang Su, Jun Zhu, Bo Zhang:
Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation. CoRR abs/2206.05751 (2022) - [i174]Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang:
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models. CoRR abs/2206.07309 (2022) - [i173]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. CoRR abs/2206.08265 (2022) - [i172]Siyu Wang, Jianfei Chen, Chongxuan Li, Jun Zhu, Bo Zhang:
Fast Lossless Neural Compression with Integer-Only Discrete Flows. CoRR abs/2206.08869 (2022) - [i171]Liyuan Wang, Xingxing Zhang, Qian Li, Jun Zhu, Yi Zhong:
CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One. CoRR abs/2207.06543 (2022) - [i170]Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu:
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations. CoRR abs/2207.06635 (2022) - [i169]Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Dong Yan, Jun Zhu:
On the Reuse Bias in Off-Policy Reinforcement Learning. CoRR abs/2209.07074 (2022) - [i168]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 abs/2209.07075 (2022) - [i167]Fan Bao, Chongxuan Li, Yue Cao, Jun Zhu:
All are Worth Words: a ViT Backbone for Score-based Diffusion Models. CoRR abs/2209.12152 (2022) - [i166]Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu:
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling. CoRR abs/2209.14548 (2022) - [i165]Fan Bao, Min Zhao, Zhongkai Hao, Peiyao Li, Chongxuan Li, Jun Zhu:
Equivariant Energy-Guided SDE for Inverse Molecular Design. CoRR abs/2209.15408 (2022) - [i164]Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Ze Cheng:
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs. CoRR abs/2210.03526 (2022) - [i163]Yinpeng Dong, Shouwei Ruan, Hang Su, Caixin Kang, Xingxing Wei, Jun Zhu:
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints. CoRR abs/2210.03895 (2022) - [i162]Yibo Miao, Yinpeng Dong, Jun Zhu, Xiao-Shan Gao:
Isometric 3D Adversarial Examples in the Physical World. CoRR abs/2210.15291 (2022) - [i161]Ziyu Wang, Yucen Luo, Yueru Li, Jun Zhu, Bernhard Schölkopf:
Spectral Representation Learning for Conditional Moment Models. CoRR abs/2210.16525 (2022) - [i160]Yao Feng, Yuhong Jiang, Hang Su, Dong Yan, Jun Zhu:
Model-based Reinforcement Learning with a Hamiltonian Canonical ODE Network. CoRR abs/2211.00942 (2022) - [i159]Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu:
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models. CoRR abs/2211.01095 (2022) - [i158]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 abs/2211.08064 (2022) - [i157]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 abs/2211.15516 (2022) - [i156]Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu:
Why Are Conditional Generative Models Better Than Unconditional Ones? CoRR abs/2212.00362 (2022) - 2021
- [j42]Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Yuan Yao, Ao Zhang, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu:
Pre-trained models: Past, present and future. AI Open 2: 225-250 (2021) - [j41]Hongyang Gu, Guangyuan Fu, Jianmin Li, Jun Zhu:
Auto-ReID+: Searching for a multi-branch ConvNet for person re-identification. Neurocomputing 435: 53-66 (2021) - [j40]Hongyang Gu, Guangyuan Fu, Xu Wang, Jun Zhu:
Learning auto-scale representations for person re-identification. Image Vis. Comput. 112: 104241 (2021) - [j39]Yueqiao Li, Hang Su, Jun Zhu:
AdvCapsNet: To defense adversarial attacks based on Capsule networks. J. Vis. Commun. Image Represent. 75: 103037 (2021) - [j38]Kelei Cao, Mengchen Liu, Hang Su, Jing Wu, Jun Zhu, Shixia Liu:
Analyzing the Noise Robustness of Deep Neural Networks. IEEE Trans. Vis. Comput. Graph. 27(7): 3289-3304 (2021) - [c177]Yong Ren, Yucen Luo, Jun Zhu:
Improving Generative Moment Matching Networks with Distribution Partition. AAAI 2021: 9403-9410 - [c176]Haosheng Zou, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu:
Learning Task-Distribution Reward Shaping with Meta-Learning. AAAI 2021: 11210-11218 - [c175]Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf:
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings. AISTATS 2021: 1828-1836 - [c174]Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu:
Mining Cross Features for Financial Credit Risk Assessment. CIKM 2021: 1069-1078 - [c173]Zhijie Deng, Xiao Yang, Shizhen Xu, Hang Su, Jun Zhu:
LiBRe: A Practical Bayesian Approach to Adversarial Detection. CVPR 2021: 972-982 - [c172]Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu:
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning. CVPR 2021: 5383-5392 - [c171]Shilong Liu, Lei Zhang, Xiao Yang, Hang Su, Jun Zhu:
Unsupervised Part Segmentation Through Disentangling Appearance and Shape. CVPR 2021: 8355-8364 - [c170]Zihao Xiao, Xianfeng Gao, Chilin Fu, Yinpeng Dong, Wei Gao, Xiaolu Zhang, Jun Zhou, Jun Zhu:
Improving Transferability of Adversarial Patches on Face Recognition With Generative Models. CVPR 2021: 11845-11854 - [c169]Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu, Yuefeng Chen, Hui Xue:
Towards Face Encryption by Generating Adversarial Identity Masks. ICCV 2021: 3877-3887 - [c168]Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu:
Black-box Detection of Backdoor Attacks with Limited Information and Data. ICCV 2021: 16462-16471 - [c167]Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu:
Implicit Normalizing Flows. ICLR 2021 - [c166]Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu:
Bag of Tricks for Adversarial Training. ICLR 2021 - [c165]Tsung Wei Tsai, Chongxuan Li, Jun Zhu:
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering. ICLR 2021 - [c164]Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang:
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models. ICML 2021: 651-661 - [c163]Yunsheng Zhang, Dong Yan, Bei Shi, Haobo Fu, Qiang Fu, Hang Su, Jun Zhu, Ning Chen:
Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu. IJCAI 2021: 3413-3419 - [c162]Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu:
Accumulative Poisoning Attacks on Real-time Data. NeurIPS 2021: 2899-2912 - [c161]Fan Bao, Guoqiang Wu, Chongxuan Li, Jun Zhu, Bo Zhang:
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization. NeurIPS 2021: 4529-4541 - [c160]Ziyu Wang, Yuhao Zhou, Tongzheng Ren, Jun Zhu:
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression. NeurIPS 2021: 10469-10482 - [c159]Guoqiang Wu, Chongxuan Li, Kun Xu, Jun Zhu:
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization. NeurIPS 2021: 14332-14344 - [c158]Shuyu Cheng, Guoqiang Wu, Jun Zhu:
On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms. NeurIPS 2021: 14620-14631 - [c157]Liyuan Wang, Mingtian Zhang, Zhongfan Jia, Qian Li, Chenglong Bao, Kaisheng Ma, Jun Zhu, Yi Zhong:
AFEC: Active Forgetting of Negative Transfer in Continual Learning. NeurIPS 2021: 22379-22391 - [c156]Shiyu Huang, Bin Wang, Hang Su, Dong Li, Jianye Hao, Jun Zhu, Ting Chen:
Off-Policy Training for Truncated TD(λ) Boosted Soft Actor-Critic. PRICAI (3) 2021: 46-59 - [i155]Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu:
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning. CoRR abs/2101.00407 (2021) - [i154]