Jun Zhu

750 papers A* 232A 12B 2C 3Journal 442Unranked 57
YearRankTypeTitle / Venue / Authors
2026 A* conf
Benchmarking Trustworthiness in Multimodal LLMs for Video Understanding.
AAAI
Youze Wang, Zijun Chen, Ruoyu Chen, Shishen Gu, Wenbo Hu, Jiayang Liu, Yinpeng Dong, Hang Su, Jun Zhu, Meng Wang, Richang Hong
2026 J jnl
Bootstrapping Large Language Models with Outsideknowledge for Knowledge-based Visual Question Answering.
Mach. Intell. Res.
Yanze Min, Yawei Sun, Yin Zhu, Jun Zhu, Bo Zhang
2026 J jnl
Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation.
CoRR
Hongzhou Zhu, Min Zhao, Guande He, Hang Su, Chongxuan Li, Jun Zhu
2026 J jnl
Deterministic Differentiable Structured Pruning for Large Language Models.
CoRR
Weiyu Huang, Pengle Zhang, Xiaolu Zhang, Jun Zhou, Jun Zhu, Jianfei Chen
2026 J jnl
Dummy-Aware Weighted Attack (DAWA): Breaking the Safe Sink in Dummy Class Defenses.
CoRR
Yunrui Yu, Xuxiang Feng, Pengda Qin, Pengyang Wang, Kafeng Wang, Cheng-Zhong Xu, Hang Su, Jun Zhu
2026 J jnl
Guideline-Grounded Evidence Accumulation for High-Stakes Agent Verification.
CoRR
Yichi Zhang, Nabeel Seedat, Yinpeng Dong, Peng Cui, Jun Zhu, Mihaela van der Schaar
2026 A* conf
H-RDT: Human Manipulation Enhanced Bimanual Robotic Manipulation.
AAAI
Hongzhe Bi, Lingxuan Wu, Tianwei Lin, Hengkai Tan, Zhizhong Su, Hang Su, Jun Zhu
2026 J jnl
Helix: Evolutionary Reinforcement Learning for Open-Ended Scientific Problem Solving.
CoRR
Chang Su, Zhongkai Hao, Zhizhou Zhang, Zeyu Xia, Youjia Wu, Hang Su, Jun Zhu
2026 J jnl
MePo: Meta Post-Refinement for Rehearsal-Free General Continual Learning.
CoRR
Guanglong Sun, Hongwei Yan, Liyuan Wang, Zhiqi Kang, Shuang Cui, Hang Su, Jun Zhu, Yi Zhong
2026 J jnl
Neural Eigenfunctions are Structured Representation Learners.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhijie Deng, Jiaxin Shi, Hao Zhang, Peng Cui, Cewu Lu, Jun Zhu
2026 J jnl
Omni2Sound: Towards Unified Video-Text-to-Audio Generation.
CoRR
Yusheng Dai, Zehua Chen, Yuxuan Jiang, Baolong Gao, Qiuhong Ke, Jun Zhu, Jianfei Cai
2026 J jnl
OoDBench+: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization.
IEEE Trans. Pattern Anal. Mach. Intell.
Nanyang Ye, Kaican Li, Fan Wu, Jundong Zhou, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu, Xinbing Wang, Chenghu Zhou
2026 J jnl
RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization.
CoRR
Songming Liu, Bangguo Li, Kai Ma, Lingxuan Wu, Hengkai Tan, Xiao Ouyang, Hang Su, Jun Zhu
2026 J jnl
SLA2: Sparse-Linear Attention with Learnable Routing and QAT.
CoRR
Jintao Zhang, Haoxu Wang, Kai Jiang, Kaiwen Zheng, Youhe Jiang, Ion Stoica, Jianfei Chen, Jun Zhu, Joseph E. Gonzalez
2026 J jnl
Safety Alignment as Continual Learning: Mitigating the Alignment Tax via Orthogonal Gradient Projection.
CoRR
Guanglong Sun, Siyuan Zhang, Liyuan Wang, Jun Zhu, Hang Su, Yi Zhong
2026 J jnl
SageBwd: A Trainable Low-bit Attention.
CoRR
Jintao Zhang, Marco Chen, Haoxu Wang, Kai Jiang, Ion Stoica, Joseph E. Gonzalez, Jianfei Chen, Jun Zhu
2026 J jnl
SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning.
CoRR
Jintao Zhang, Kai Jiang, Chendong Xiang, Weiqi Feng, Yuezhou Hu, Haocheng Xi, Jianfei Chen, Jun Zhu
2026 J jnl
Spatio-temporal side tuning pre-trained foundation models for video-based pedestrian attribute recognition.
Comput. Vis. Image Underst.
Xiao Wang, Qian Zhu, Jiandong Jin, Jun Zhu, Futian Wang, Bo Jiang, Yaowei Wang, Yonghong Tian
2026 J jnl
WorldArena: A Unified Benchmark for Evaluating Perception and Functional Utility of Embodied World Models.
CoRR
Yu Shang, Zhuohang Li, Yiding Ma, Weikang Su, Xin Jin, Ziyou Wang, Lei Jin, Xin Zhang, Yinzhou Tang, Haisheng Su, Chen Gao, Wei Wu, Xihui Liu, Dhruv Shah, Zhaoxiang Zhang, Zhibo Chen, Jun Zhu, Yonghong Tian, Tat-Seng Chua, Wenwu Zhu, Yong Li
2025 J jnl
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking.
Int. J. Comput. Vis.
Chang Liu, Yinpeng Dong, Wenzhao Xiang, Xiao Yang, Hang Su, Jun Zhu, Yuefeng Chen, Yuan He, Hui Xue, Shibao Zheng
2025 J jnl
A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees.
CoRR
Yuhao Zhou, Jintao Xu, Chenglong Bao, Chao Ding, Jun Zhu
2025 J jnl
A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents.
CoRR
Hang Su, Jun Luo, Chang Liu, Xiao Yang, Yichi Zhang, Yinpeng Dong, Jun Zhu
2025 J jnl
Accurate INT8 Training Through Dynamic Block-Level Fallback.
CoRR
Pengle Zhang, Jia Wei, Jintao Zhang, Jun Zhu, Jianfei Chen
2025 J jnl
Adaptive Shielding via Parametric Safety Proofs.
CoRR
Yao Feng, Jun Zhu, André Platzer, Jonathan Laurent
2025 J jnl
Adaptive Shielding via Parametric Safety Proofs.
Proc. ACM Program. Lang.
Yao Feng, Jun Zhu, André Platzer, Jonathan Laurent
2025 J jnl
AnyPos: Automated Task-Agnostic Actions for Bimanual Manipulation.
CoRR
Hengkai Tan, Yao Feng, Xinyi Mao, Shuhe Huang, Guodong Liu, Zhongkai Hao, Hang Su, Jun Zhu
2025 J jnl
Bridging Supervised Learning and Reinforcement Learning in Math Reasoning.
CoRR
Huayu Chen, Kaiwen Zheng, Qinsheng Zhang, Ganqu Cui, Yin Cui, Haotian Ye, Tsung-Yi Lin, Ming-Yu Liu, Jun Zhu, Haoxiang Wang
2025 J jnl
CAST: Continuous and Differentiable Semi-Structured Sparsity-Aware Training for Large Language Models.
CoRR
Weiyu Huang, Yuezhou Hu, Jun Zhu, Jianfei Chen
2025 J jnl
ControlAudio: Tackling Text-Guided, Timing-Indicated and Intelligible Audio Generation via Progressive Diffusion Modeling.
CoRR
Yuxuan Jiang, Zehua Chen, Zeqian Ju, Yusheng Dai, Weibei Dou, Jun Zhu
2025 J jnl
ControlVideo: conditional control for one-shot text-driven video editing and beyond.
Sci. China Inf. Sci.
Min Zhao, Rongzhen Wang, Fan Bao, Chongxuan Li, Jun Zhu
2025 J jnl
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.
Mach. Intell. Res.
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
2025 J jnl
DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning.
CoRR
Ruowen Zhao, Junliang Ye, Zhengyi Wang, Guangce Liu, Yiwen Chen, Yikai Wang, Jun Zhu
2025 A* conf
Diffusion Bridge Implicit Models.
ICLR
Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu
2025 J jnl
DiffusionNFT: Online Diffusion Reinforcement with Forward Process.
CoRR
Kaiwen Zheng, Huayu Chen, Haotian Ye, Haoxiang Wang, Qinsheng Zhang, Kai Jiang, Hang Su, Stefano Ermon, Jun Zhu, Ming-Yu Liu
2025 A* conf
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator.
ICML
Kaiwen Zheng, Yongxin Chen, Huayu Chen, Guande He, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang
2025 J jnl
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator.
CoRR
Kaiwen Zheng, Yongxin Chen, Huayu Chen, Guande He, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang
2025 J jnl
Effective Black-Box Multi-Faceted Attacks Breach Vision Large Language Model Guardrails.
CoRR
Yijun Yang, Lichao Wang, Xiao Yang, Lanqing Hong, Jun Zhu
2025 J jnl
Effective and Stealthy One-Shot Jailbreaks on Deployed Mobile Vision-Language Agents.
CoRR
Renhua Ding, Xiao Yang, Zhengwei Fang, Jun Luo, Kun He, Jun Zhu
2025 J jnl
Efficient Hyperparameter Tuning via Trajectory Invariance Principle.
CoRR
Bingrui Li, Jiaxin Wen, Zhanpeng Zhou, Jun Zhu, Jianfei Chen
2025 A* conf
Elucidating the Preconditioning in Consistency Distillation.
ICLR
Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu
2025 J jnl
Elucidating the Preconditioning in Consistency Distillation.
CoRR
Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu
2025 J jnl
Exploratory Diffusion Policy for Unsupervised Reinforcement Learning.
CoRR
Chengyang Ying, Huayu Chen, Xinning Zhou, Zhongkai Hao, Hang Su, Jun Zhu
2025 J jnl
Face3DAdv: Exploiting Robust Adversarial 3D Patches on Physical Face Recognition.
Int. J. Comput. Vis.
Xiao Yang, Longlong Xu, Tianyu Pang, Yinpeng Dong, Yikai Wang, Hang Su, Jun Zhu
2025 — conf
Fairness without Demographics through Learning Graph of Gradients.
KDD (1)
Yingtao Luo, Zhixun Li, Qiang Liu, Jun Zhu
2025 A* conf
FrameBridge: Improving Image-to-Video Generation with Bridge Models.
ICML
Yuji Wang, Zehua Chen, Xiaoyu Chen, Yixiang Wei, Jun Zhu, Jianfei Chen
2025 A* conf
FreeAudio: Training-Free Timing Planning for Controllable Long-Form Text-to-Audio Generation.
ACM Multimedia
Yuxuan Jiang, Zehua Chen, Zeqian Ju, Chang Li, Weibei Dou, Jun Zhu
2025 J jnl
FreeAudio: Training-Free Timing Planning for Controllable Long-Form Text-to-Audio Generation.
CoRR
Yuxuan Jiang, Zehua Chen, Zeqian Ju, Chang Li, Weibei Dou, Jun Zhu
2025 J jnl
Guest Editorial: Operationalizing Responsible AI.
IEEE Trans. Artif. Intell.
Qinghua Lu, Apostol Vassilev, Jun Zhu, Foutse Khomh
2025 J jnl
H-RDT: Human Manipulation Enhanced Bimanual Robotic Manipulation.
CoRR
Hongzhe Bi, Lingxuan Wu, Tianwei Lin, Hengkai Tan, Zhizhong Su, Hang Su, Jun Zhu
2025 J jnl
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning.
IEEE Trans. Pattern Anal. Mach. Intell.
Liyuan Wang, Jingyi Xie, Xingxing Zhang, Hang Su, Jun Zhu
2025 J jnl
Identifying Sensitive Weights via Post-quantization Integral.
CoRR
Yuezhou Hu, Weiyu Huang, Zichen Liang, Chang Chen, Jintao Zhang, Jun Zhu, Jianfei Chen
2025 A* conf
Improving Accuracy and Calibration via Differentiated Deep Mutual Learning.
CVPR
Han Liu, Peng Cui, Bingning Wang, Weipeng Chen, Yupeng Zhang, Jun Zhu, Xiaolin Hu
2025 J jnl
Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency.
CoRR
Kaiwen Zheng, Yuji Wang, Qianli Ma, Huayu Chen, Jintao Zhang, Yogesh Balaji, Jianfei Chen, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang
2025 J jnl
MLA-Trust: Benchmarking Trustworthiness of Multimodal LLM Agents in GUI Environments.
CoRR
Xiao Yang, Jiawei Chen, Jun Luo, Zhengwei Fang, Yinpeng Dong, Hang Su, Jun Zhu
2025 A* conf
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling.
ICLR
Kaiwen Zheng, Yongxin Chen, Hanzi Mao, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang
2025 J jnl
Motus: A Unified Latent Action World Model.
CoRR
Hongzhe Bi, Hengkai Tan, Shenghao Xie, Zeyuan Wang, Shuhe Huang, Haitian Liu, Ruowen Zhao, Yao Feng, Chendong Xiang, Yinze Rong, Hongyan Zhao, Hanyu Liu, Zhizhong Su, Lei Ma, Hang Su, Jun Zhu
2025 J jnl
NANO3D: A Training-Free Approach for Efficient 3D Editing Without Masks.
CoRR
Junliang Ye, Shenghao Xie, Ruowen Zhao, Zhengyi Wang, Hongyu Yan, Wenqiang Zu, Lei Ma, Jun Zhu
2025 A* conf
On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent.
ICLR
Bingrui Li, Wei Huang, Andi Han, Zhanpeng Zhou, Taiji Suzuki, Jun Zhu, Jianfei Chen
2025 A* conf
Oscillation-Reduced MXFP4 Training for Vision Transformers.
ICML
Yuxiang Chen, Haocheng Xi, Jun Zhu, Jianfei Chen
2025 J jnl
Oscillation-Reduced MXFP4 Training for Vision Transformers.
CoRR
Yuxiang Chen, Haocheng Xi, Jun Zhu, Jianfei Chen
2025 J jnl
Oyster-I: Beyond Refusal - Constructive Safety Alignment for Responsible Language Models.
CoRR
Ranjie Duan, Jiexi Liu, Xiaojun Jia, Shiji Zhao, Ruoxi Cheng, Fengxiang Wang, Cheng Wei, Yong Xie, Chang Liu, Defeng Li, Yinpeng Dong, Yichi Zhang, Yuefeng Chen, Chongwen Wang, Xingjun Ma, Xingxing Wei, Yang Liu, Hang Su, Jun Zhu, Xinfeng Li, Yitong Sun, Jie Zhang, Jinzhao Hu, Sha Xu, Wenchao Yang, Yitong Yang, Xingyao Zhang, Yingshui Tan, Jialing Tao, Hui Xue
2025 J jnl
Physical Adversarial Examples for Person Detectors in Thermal Images Based on 3D Modeling.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiaopei Zhu, Siyuan Huang, Zhanhao Hu, Jianmin Li, Jun Zhu, Xiaolin Hu
2025 A* conf
Pruning Large Language Models with Semi-Structural Adaptive Sparse Training.
AAAI
Weiyu Huang, Yuezhou Hu, Guohao Jian, Jun Zhu, Jianfei Chen
2025 J jnl
RCR-AF: Enhancing Model Generalization via Rademacher Complexity Reduction Activation Function.
CoRR
Yunrui Yu, Kafeng Wang, Hang Su, Jun Zhu
2025 A* conf
RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation.
ICLR
Songming Liu, Lingxuan Wu, Bangguo Li, Hengkai Tan, Huayu Chen, Zhengyi Wang, Ke Xu, Hang Su, Jun Zhu
2025 A* conf
RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers.
ICML
Min Zhao, Guande He, Yixiao Chen, Hongzhou Zhu, Chongxuan Li, Jun Zhu
2025 J jnl
RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers.
CoRR
Min Zhao, Guande He, Yixiao Chen, Hongzhou Zhu, Chongxuan Li, Jun Zhu
2025 A* conf
ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing.
ICLR
Ziteng Wang, Jun Zhu, Jianfei Chen
2025 J jnl
Reinforced Embodied Active Defense: Exploiting Adaptive Interaction for Robust Visual Perception in Adversarial 3D Environments.
CoRR
Xiao Yang, Lingxuan Wu, Lizhong Wang, Chengyang Ying, Hang Su, Jun Zhu
2025 J jnl
Reinforced Embodied Active Defense: Exploiting Adaptive Interaction for Robust Visual Perception in Adversarial 3D Environments.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiao Yang, Lingxuan Wu, Lizhong Wang, Chengyang Ying, Hang Su, Jun Zhu
2025 A* conf
Robust Representation Consistency Model via Contrastive Denoising.
ICLR
Jiachen Lei, Julius Berner, Jiongxiao Wang, Zhongzhu Chen, Chaowei Xiao, Zhongjie Ba, Kui Ren, Jun Zhu, Anima Anandkumar
2025 J jnl
Robust Representation Consistency Model via Contrastive Denoising.
CoRR
Jiachen Lei, Julius Berner, Jiongxiao Wang, Zhongzhu Chen, Zhongjia Ba, Kui Ren, Jun Zhu, Anima Anandkumar
2025 J jnl
SDE-HNN: Accurate and Well-Calibrated Forecasting Using Stochastic Differential Equations.
ACM Trans. Knowl. Discov. Data
Peng Cui, Zhijie Deng, Wenbo Hu, Jun Zhu
2025 J jnl
SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention.
CoRR
Jintao Zhang, Haoxu Wang, Kai Jiang, Shuo Yang, Kaiwen Zheng, Haocheng Xi, Ziteng Wang, Hongzhou Zhu, Min Zhao, Ion Stoica, Joseph E. Gonzalez, Jun Zhu, Jianfei Chen
2025 A* conf
STAIR: Improving Safety Alignment with Introspective Reasoning.
ICML
Yichi Zhang, Siyuan Zhang, Yao Huang, Zeyu Xia, Zhengwei Fang, Xiao Yang, Ranjie Duan, Dong Yan, Yinpeng Dong, Jun Zhu
2025 J jnl
STAIR: Improving Safety Alignment with Introspective Reasoning.
CoRR
Yichi Zhang, Siyuan Zhang, Yao Huang, Zeyu Xia, Zhengwei Fang, Xiao Yang, Ranjie Duan, Dong Yan, Yinpeng Dong, Jun Zhu
2025 J jnl
SageAttention2++: A More Efficient Implementation of SageAttention2.
CoRR
Jintao Zhang, Xiaoming Xu, Jia Wei, Haofeng Huang, Pengle Zhang, Chendong Xiang, Jun Zhu, Jianfei Chen
2025 A* conf
SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization.
ICML
Jintao Zhang, Haofeng Huang, Pengle Zhang, Jia Wei, Jun Zhu, Jianfei Chen
2025 J jnl
SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training.
CoRR
Jintao Zhang, Jia Wei, Pengle Zhang, Xiaoming Xu, Haofeng Huang, Haoxu Wang, Kai Jiang, Jun Zhu, Jianfei Chen
2025 A* conf
SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration.
ICLR
Jintao Zhang, Jia Wei, Pengle Zhang, Jun Zhu, Jianfei Chen
2025 J jnl
Scaling Diffusion Transformers Efficiently via μP.
CoRR
Chenyu Zheng, Xinyu Zhang, Rongzhen Wang, Wei Huang, Zhi Tian, Weilin Huang, Jun Zhu, Chongxuan Li
2025 A* conf
Self-Consistent Model-based Adaptation for Visual Reinforcement Learning.
IJCAI
Xinning Zhou, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu
2025 J jnl
Self-Consistent Model-based Adaptation for Visual Reinforcement Learning.
CoRR
Xinning Zhou, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu
2025 J jnl
ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding.
CoRR
Junliang Ye, Zhengyi Wang, Ruowen Zhao, Shenghao Xie, Jun Zhu
2025 A* conf
SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference.
ICML
Jintao Zhang, Chendong Xiang, Haofeng Huang, Jia Wei, Haocheng Xi, Jun Zhu, Jianfei Chen
2025 J jnl
SpargeAttn: Accurate Sparse Attention Accelerating Any Model Inference.
CoRR
Jintao Zhang, Chendong Xiang, Haofeng Huang, Jia Wei, Haocheng Xi, Jun Zhu, Jianfei Chen
2025 A conf
SparseDM: Toward Sparse Efficient Diffusion Models.
ICME
Kafeng Wang, Jianfei Chen, He Li, Zhenpeng Mi, Jun Zhu
2025 J jnl
TetraJet-v2: Accurate NVFP4 Training for Large Language Models with Oscillation Suppression and Outlier Control.
CoRR
Yuxiang Chen, Xiaoming Xu, Pengle Zhang, Michael Beyer, Martin Rapp, Jun Zhu, Jianfei Chen
2025 J jnl
Theoretical Analysis of Relative Errors in Gradient Computations for Adversarial Attacks with CE Loss.
CoRR
Yunrui Yu, Hang Su, Cheng-Zhong Xu, Zhizhong Su, Jun Zhu
2025 A* conf
Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment.
ICLR
Huayu Chen, Hang Su, Peize Sun, Jun Zhu
2025 J jnl
Towards Safe Reasoning in Large Reasoning Models via Corrective Intervention.
CoRR
Yichi Zhang, Yue Ding, Jingwen Yang, Tianwei Luo, Dongbai Li, Ranjie Duan, Qiang Liu, Hang Su, Yinpeng Dong, Jun Zhu
2025 J jnl
Towards the Worst-case Robustness of Large Language Models.
CoRR
Huanran Chen, Yinpeng Dong, Zeming Wei, Hang Su, Jun Zhu
2025 J jnl
TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times.
CoRR
Jintao Zhang, Kaiwen Zheng, Kai Jiang, Haoxu Wang, Ion Stoica, Joseph E. Gonzalez, Jianfei Chen, Jun Zhu
2025 J jnl
UltraImage: Rethinking Resolution Extrapolation in Image Diffusion Transformers.
CoRR
Min Zhao, Bokai Yan, Xue Yang, Hongzhou Zhu, Jintao Zhang, Shilong Liu, Chongxuan Li, Jun Zhu
2025 J jnl
UltraViCo: Breaking Extrapolation Limits in Video Diffusion Transformers.
CoRR
Min Zhao, Hongzhou Zhu, Yingze Wang, Bokai Yan, Jintao Zhang, Guande He, Ling Yang, Chongxuan Li, Jun Zhu
2025 J jnl
Understanding Pre-training and Fine-tuning from Loss Landscape Perspectives.
CoRR
Huanran Chen, Yinpeng Dong, Zeming Wei, Yao Huang, Yichi Zhang, Hang Su, Jun Zhu
2025 J jnl
Understanding and Benchmarking the Trustworthiness in Multimodal LLMs for Video Understanding.
CoRR
Youze Wang, Zijun Chen, Ruoyu Chen, Shishen Gu, Yinpeng Dong, Hang Su, Jun Zhu, Meng Wang, Richang Hong, Wenbo Hu
2025 J jnl
Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation.
CoRR
Yichi Zhang, Yao Huang, Yifan Wang, Yitong Sun, Chang Liu, Zhe Zhao, Zhengwei Fang, Huanran Chen, Xiao Yang, Xingxing Wei, Hang Su, Yinpeng Dong, Jun Zhu
2025 J jnl
Versatile Cardiovascular Signal Generation with a Unified Diffusion Transformer.
CoRR
Zehua Chen, Yuyang Miao, Liyuan Wang, Luyun Fan, Danilo P. Mandic, Jun Zhu
2025 J jnl
Vidar: Embodied Video Diffusion Model for Generalist Bimanual Manipulation.
CoRR
Yao Feng, Hengkai Tan, Xinyi Mao, Guodong Liu, Shuhe Huang, Chendong Xiang, Hang Su, Jun Zhu
2025 J jnl
Vidarc: Embodied Video Diffusion Model for Closed-loop Control.
CoRR
Yao Feng, Chendong Xiang, Xinyi Mao, Hengkai Tan, Zuyue Zhang, Shuhe Huang, Kaiwen Zheng, Haitian Liu, Hang Su, Jun Zhu
2025 J jnl
Video4DGen: Enhancing Video and 4D Generation through Mutual Optimization.
CoRR
Yikai Wang, Guangce Liu, Xinzhou Wang, Zilong Chen, Jiafang Li, Xin Liang, Fuchun Sun, Jun Zhu
2025 A* conf
Visual Generation Without Guidance.
ICML
Huayu Chen, Kai Jiang, Kaiwen Zheng, Jianfei Chen, Hang Su, Jun Zhu
2025 J jnl
Visual Generation Without Guidance.
CoRR
Huayu Chen, Kai Jiang, Kaiwen Zheng, Jianfei Chen, Hang Su, Jun Zhu
2025 J jnl
VoiceBridge: Designing Latent Bridge Models for General Speech Restoration at Scale.
CoRR
Chi Zhang, Zehua Chen, Kaiwen Zheng, Jun Zhu
2024 J jnl
A Comprehensive Survey of Continual Learning: Theory, Method and Application.
IEEE Trans. Pattern Anal. Mach. Intell.
Liyuan Wang, Xingxing Zhang, Hang Su, Jun Zhu
2024 J jnl
Accelerating Transformer Pre-Training with 2: 4 Sparsity.
CoRR
Yuezhou Hu, Kang Zhao, Weiyu Huang, Jianfei Chen, Jun Zhu
2024 A* conf
Accelerating Transformer Pre-training with 2: 4 Sparsity.
ICML
Yuezhou Hu, Kang Zhao, Weiyu Huang, Jianfei Chen, Jun Zhu
2024 J jnl
Accurate and Reliable Predictions with Mutual-Transport Ensemble.
CoRR
Han Liu, Peng Cui, Bingning Wang, Jun Zhu, Xiaolin Hu
2024 A* conf
Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control.
NeurIPS
Huayu Chen, Kaiwen Zheng, Hang Su, Jun Zhu
2024 J jnl
Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control.
CoRR
Huayu Chen, Kaiwen Zheng, Hang Su, Jun Zhu
2024 J jnl
BSPA: Exploring Black-box Stealthy Prompt Attacks against Image Generators.
CoRR
Yu Tian, Xiao Yang, Yinpeng Dong, Heming Yang, Hang Su, Jun Zhu
2024 J jnl
Benchmarking Trustworthiness of Multimodal Large Language Models: A Comprehensive Study.
CoRR
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
2024 A* conf
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory.
NeurIPS
Tianjiao Luo, Tim Pearce, Huayu Chen, Jianfei Chen, Jun Zhu
2024 J jnl
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory.
CoRR
Tianjiao Luo, Tim Pearce, Huayu Chen, Jianfei Chen, Jun Zhu
2024 — conf
CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model.
ECCV (31)
Zhengyi Wang, Yikai Wang, Yifei Chen, Chendong Xiang, Shuo Chen, Dajiang Yu, Chongxuan Li, Hang Su, Jun Zhu
2024 J jnl
CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model.
CoRR
Zhengyi Wang, Yikai Wang, Yifei Chen, Chendong Xiang, Shuo Chen, Dajiang Yu, Chongxuan Li, Hang Su, Jun Zhu
2024 J jnl
Calibrating Deep Ensemble through Functional Variational Inference.
Trans. Mach. Learn. Res.
Zhijie Deng, Feng Zhou, Jianfei Chen, Guoqiang Wu, Jun Zhu
2024 J jnl
Conformalized Graph Learning for Molecular ADMET Property Prediction and Reliable Uncertainty Quantification.
J. Chem. Inf. Model.
Peiyao Li, Lan Hua, Zhechao Ma, Wenbo Hu, Ye Liu, Jun Zhu
2024 A* conf
Consistency Diffusion Bridge Models.
NeurIPS
Guande He, Kaiwen Zheng, Jianfei Chen, Fan Bao, Jun Zhu
2024 J jnl
Consistency Diffusion Bridge Models.
CoRR
Guande He, Kaiwen Zheng, Jianfei Chen, Fan Bao, Jun Zhu
2024 A* conf
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization.
AAAI
Wentse Chen, Shiyu Huang, Yuan Chiang, Tim Pearce, Wei-Wei Tu, Ting Chen, Jun Zhu
2024 A* conf
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training.
ICML
Zhongkai Hao, Chang Su, Songming Liu, Julius Berner, Chengyang Ying, Hang Su, Anima Anandkumar, Jian Song, Jun Zhu
2024 J jnl
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training.
CoRR
Zhongkai Hao, Chang Su, Songming Liu, Julius Berner, Chengyang Ying, Hang Su, Anima Anandkumar, Jian Song, Jun Zhu
2024 J jnl
Diffusion Bridge Implicit Models.
CoRR
Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu
2024 A* conf
Diffusion Models are Certifiably Robust Classifiers.
NeurIPS
Huanran Chen, Yinpeng Dong, Shitong Shao, Zhongkai Hao, Xiao Yang, Hang Su, Jun Zhu
2024 — conf
DreamReward: Text-to-3D Generation with Human Preference.
ECCV (70)
Junliang Ye, Fangfu Liu, Qixiu Li, Zhengyi Wang, Yikai Wang, Xinzhou Wang, Yueqi Duan, Jun Zhu
2024 J jnl
DreamReward: Text-to-3D Generation with Human Preference.
CoRR
Junliang Ye, Fangfu Liu, Qixiu Li, Zhengyi Wang, Yikai Wang, Xinzhou Wang, Yueqi Duan, Jun Zhu
2024 J jnl
DualTeacher: Bridging Coexistence of Unlabelled Classes for Semi-supervised Incremental Object Detection.
CoRR
Ziqi Yuan, Liyuan Wang, Wenbo Ding, Xingxing Zhang, Jiachen Zhong, Jianyong Ai, Jianmin Li, Jun Zhu
2024 A* conf
Efficient Backpropagation with Variance Controlled Adaptive Sampling.
ICLR
Ziteng Wang, Jianfei Chen, Jun Zhu
2024 J jnl
Efficient Backpropagation with Variance-Controlled Adaptive Sampling.
CoRR
Ziteng Wang, Jianfei Chen, Jun Zhu
2024 A* conf
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior.
ICML
Shuyu Cheng, Yibo Miao, Yinpeng Dong, Xiao Yang, Xiao-Shan Gao, Jun Zhu
2024 J jnl
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior.
CoRR
Shuyu Cheng, Yibo Miao, Yinpeng Dong, Xiao Yang, Xiao-Shan Gao, Jun Zhu
2024 A* conf
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches.
ICLR
Lingxuan Wu, Xiao Yang, Yinpeng Dong, Liuwei Xie, Hang Su, Jun Zhu
2024 J jnl
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches.
CoRR
Lingxuan Wu, Xiao Yang, Yinpeng Dong, Liuwei Xie, Hang Su, Jun Zhu
2024 J jnl
Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models.
CoRR
Peng Cui, Guande He, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu
2024 A* conf
Exploring the Transferability of Visual Prompting for Multimodal Large Language Models.
CVPR
Yichi Zhang, Yinpeng Dong, Siyuan Zhang, Tianzan Min, Hang Su, Jun Zhu
2024 J jnl
Exploring the Transferability of Visual Prompting for Multimodal Large Language Models.
CoRR
Yichi Zhang, Yinpeng Dong, Siyuan Zhang, Tianzan Min, Hang Su, Jun Zhu
2024 — conf
FeedFace: Efficient Inference-based Face Personalization via Diffusion Models.
Tiny Papers @ ICLR
Chendong Xiang, Armando Teles Fortes, Khang Hui Chua, Hang Su, Jun Zhu
2024 A* conf
Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning.
ICML
Hengkai Tan, Songming Liu, Kai Ma, Chengyang Ying, Xingxing Zhang, Hang Su, Jun Zhu
2024 J jnl
Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning.
CoRR
Hengkai Tan, Songming Liu, Kai Ma, Chengyang Ying, Xingxing Zhang, Hang Su, Jun Zhu
2024 J jnl
FrameBridge: Improving Image-to-Video Generation with Bridge Models.
CoRR
Yuji Wang, Zehua Chen, Xiaoyu Chen, Jun Zhu, Jianfei Chen
2024 — conf
Grounding DINO: Marrying DINO with Grounded Pre-training for Open-Set Object Detection.
ECCV (47)
Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Qing Jiang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang
2024 J jnl
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning.
CoRR
Liyuan Wang, Jingyi Xie, Xingxing Zhang, Hang Su, Jun Zhu
2024 A* conf
Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model.
NeurIPS
Min Zhao, Hongzhou Zhu, Chendong Xiang, Kaiwen Zheng, Chongxuan Li, Jun Zhu
2024 J jnl
Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model.
CoRR
Min Zhao, Hongzhou Zhu, Chendong Xiang, Kaiwen Zheng, Chongxuan Li, Jun Zhu
2024 J jnl
Improving transferability of 3D adversarial attacks with scale and shear transformations.
Inf. Sci.
Jinlai Zhang, Yinpeng Dong, Jun Zhu, Jihong Zhu, Minchi Kuang, Xiaming Yuan
2024 A* conf
InstructPix2NeRF: Instructed 3D Portrait Editing from a Single Image.
ICLR
Jianhui Li, Shilong Liu, Zidong Liu, Yikai Wang, Kaiwen Zheng, Jinghui Xu, Jianmin Li, Jun Zhu
2024 A* conf
Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization.
ICML
Haocheng Xi, Yuxiang Chen, Kang Zhao, Kai Jun Teh, Jianfei Chen, Jun Zhu
2024 J jnl
Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization.
CoRR
Haocheng Xi, Yuxiang Chen, Kang Zhao, Kaijun Zheng, Jianfei Chen, Jun Zhu
2024 J jnl
LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models.
CoRR
Zhengyi Wang, Jonathan Lorraine, Yikai Wang, Hang Su, Jun Zhu, Sanja Fidler, Xiaohui Zeng
2024 — conf
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents.
ECCV (47)
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
2024 J jnl
MRJ-Agent: An Effective Jailbreak Agent for Multi-Round Dialogue.
CoRR
Fengxiang Wang, Ranjie Duan, Peng Xiao, Xiaojun Jia, Yuefeng Chen, Chongwen Wang, Jialing Tao, Hang Su, Jun Zhu, Hui Xue
2024 J jnl
ManiBox: Enhancing Spatial Grasping Generalization via Scalable Simulation Data Generation.
CoRR
Hengkai Tan, Xuezhou Xu, Chengyang Ying, Xinyi Mao, Songming Liu, Xingxing Zhang, Hang Su, Jun Zhu
2024 J jnl
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling.
CoRR
Kaiwen Zheng, Yongxin Chen, Hanzi Mao, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang
2024 J jnl
MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization.
CoRR
Yiwen Chen, Yikai Wang, Yihao Luo, Zhengyi Wang, Zilong Chen, Jun Zhu, Chi Zhang, Guosheng Lin
2024 J jnl
MicroDreamer: Zero-shot 3D Generation in ~20 Seconds by Score-based Iterative Reconstruction.
CoRR
Luxi Chen, Zhengyi Wang, Chongxuan Li, Tingting Gao, Hang Su, Jun Zhu
2024 A* conf
MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models.
NeurIPS
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
2024 A* conf
Noise Contrastive Alignment of Language Models with Explicit Rewards.
NeurIPS
Huayu Chen, Guande He, Lifan Yuan, Ganqu Cui, Hang Su, Jun Zhu
2024 J jnl
Noise Contrastive Alignment of Language Models with Explicit Rewards.
CoRR
Huayu Chen, Guande He, Hang Su, Jun Zhu
2024 A* conf
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability.
NeurIPS
Chenyu Zheng, Wei Huang, Rongzhen Wang, Guoqiang Wu, Jun Zhu, Chongxuan Li
2024 J jnl
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability.
CoRR
Chenyu Zheng, Wei Huang, Rongzhen Wang, Guoqiang Wu, Jun Zhu, Chongxuan Li
2024 J jnl
On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent.
CoRR
Bingrui Li, Wei Huang, Andi Han, Zhanpeng Zhou, Taiji Suzuki, Jun Zhu, Jianfei Chen
2024 J jnl
Operational Decisions of Construction and Demolition Waste Recycling Supply Chain Members under Altruistic Preferences.
Syst.
Jun Zhu, Hao Zhang, Weihong Chen, Xingwei Li
2024 A* conf
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning.
NeurIPS
Chengyang Ying, Zhongkai Hao, Xinning Zhou, Xuezhou Xu, Hang Su, Xingxing Zhang, Jun Zhu
2024 J jnl
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning.
CoRR
Chengyang Ying, Zhongkai Hao, Xinning Zhou, Xuezhou Xu, Hang Su, Xingxing Zhang, Jun Zhu
2024 A* conf
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
NeurIPS
Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, Jun Zhu
2024 J jnl
Preconditioning for Physics-Informed Neural Networks.
CoRR
Songming Liu, Chang Su, Jiachen Yao, Zhongkai Hao, Hang Su, Youjia Wu, Jun Zhu
2024 J jnl
Probabilistic Neural-Symbolic Models With Inductive Posterior Constraints.
IEEE Trans. Neural Networks Learn. Syst.
Ke Su, Hang Su, Chongxuan Li, Jun Zhu, Bo Zhang
2024 J jnl
Pruning Large Language Models with Semi-Structural Adaptive Sparse Training.
CoRR
Weiyu Huang, Guohao Jian, Yuezhou Hu, Jun Zhu, Jianfei Chen
2024 J jnl
RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation.
CoRR
Songming Liu, Lingxuan Wu, Bangguo Li, Hengkai Tan, Huayu Chen, Zhengyi Wang, Ke Xu, Hang Su, Jun Zhu
2024 J jnl
ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing.
CoRR
Ziteng Wang, Jianfei Chen, Jun Zhu
2024 A* conf
Rethinking Model Ensemble in Transfer-based Adversarial Attacks.
ICLR
Huanran Chen, Yichi Zhang, Yinpeng Dong, Xiao Yang, Hang Su, Jun Zhu
2024 A* conf
Robust Classification via a Single Diffusion Model.
ICML
Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu
2024 A* conf
S-STE: Continuous Pruning Function for Efficient 2: 4 Sparse Pre-training.
NeurIPS
Yuezhou Hu, Jun Zhu, Jianfei Chen
2024 J jnl
S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training.
CoRR
Yuezhou Hu, Jun Zhu, Jianfei Chen
2024 J jnl
SageAttention2 Technical Report: Accurate 4 Bit Attention for Plug-and-play Inference Acceleration.
CoRR
Jintao Zhang, Haofeng Huang, Pengle Zhang, Jia Wei, Jun Zhu, Jianfei Chen
2024 J jnl
SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration.
CoRR
Jintao Zhang, Jia Wei, Pengle Zhang, Jun Zhu, Jianfei Chen
2024 J jnl
Scaling Laws for Black box Adversarial Attacks.
CoRR
Chuan Liu, Huanran Chen, Yichi Zhang, Yinpeng Dong, Jun Zhu
2024 A* conf
Score Regularized Policy Optimization through Diffusion Behavior.
ICLR
Huayu Chen, Cheng Lu, Zhengyi Wang, Hang Su, Jun Zhu
2024 J jnl
SparseDM: Toward Sparse Efficient Diffusion Models.
CoRR
Kafeng Wang, Jianfei Chen, He Li, Zhenpeng Mi, Jun Zhu
2024 J jnl
Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition.
CoRR
Xiao Wang, Qian Zhu, Jiandong Jin, Jun Zhu, Futian Wang, Bo Jiang, Yaowei Wang, Yonghong Tian
2024 A* conf
T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models.
NeurIPS
Yibo Miao, Yifan Zhu, Lijia Yu, Jun Zhu, Xiao-Shan Gao, Yinpeng Dong
2024 J jnl
T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models.
CoRR
Yibo Miao, Yifan Zhu, Yinpeng Dong, Lijia Yu, Jun Zhu, Xiao-Shan Gao
2024 J jnl
To Boost Zero-Shot Generalization for Embodied Reasoning With Vision-Language Pre-Training.
IEEE Trans. Image Process.
Ke Su, Xingxing Zhang, Siyang Zhang, Jun Zhu, Bo Zhang
2024 J jnl
Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment.
CoRR
Huayu Chen, Hang Su, Peize Sun, Jun Zhu
2024 A* conf
Towards Efficient Exact Optimization of Language Model Alignment.
ICML
Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang
2024 J jnl
Towards Efficient and Exact Optimization of Language Model Alignment.
CoRR
Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang
2024 J jnl
Understanding adversarial attacks on observations in deep reinforcement learning.
Sci. China Inf. Sci.
You Qiaoben, Chengyang Ying, Xinning Zhou, Hang Su, Jun Zhu, Bo Zhang
2024 A* conf
Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels.
NeurIPS
Yikai Wang, Xinzhou Wang, Zilong Chen, Zhengyi Wang, Fuchun Sun, Jun Zhu
2024 J jnl
Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels.
CoRR
Yikai Wang, Xinzhou Wang, Zilong Chen, Zhengyi Wang, Fuchun Sun, Jun Zhu
2024 J jnl
Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models.
CoRR
Fan Bao, Chendong Xiang, Gang Yue, Guande He, Hongzhou Zhu, Kaiwen Zheng, Min Zhao, Shilong Liu, Yaole Wang, Jun Zhu
2024 J jnl
Your Diffusion Model is Secretly a Certifiably Robust Classifier.
CoRR
Huanran Chen, Yinpeng Dong, Shitong Shao, Zhongkai Hao, Xiao Yang, Hang Su, Jun Zhu
2023 J jnl
A Closer Look at Parameter-Efficient Tuning in Diffusion Models.
CoRR
Chendong Xiang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu
2023 J jnl
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking.
CoRR
Chang Liu, Yinpeng Dong, Wenzhao Xiang, Xiao Yang, Hang Su, Jun Zhu, Yuefeng Chen, Yuan He, Hui Xue, Shibao Zheng
2023 J jnl
A Comprehensive Survey of Continual Learning: Theory, Method and Application.
CoRR
Liyuan Wang, Xingxing Zhang, Hang Su, Jun Zhu
2023 A conf
A constrained Bayesian approach to out-of-distribution prediction.
UAI
Ziyu Wang, Binjie Yuan, Jiaxun Lu, Bowen Ding, Yunfeng Shao, Qibin Wu, Jun Zhu
2023 J jnl
A semismooth Newton based augmented Lagrangian method for nonsmooth optimization on matrix manifolds.
Math. Program.
Yuhao Zhou, Chenglong Bao, Chao Ding, Jun Zhu
2023 A* conf
All are Worth Words: A ViT Backbone for Diffusion Models.
CVPR
Fan Bao, Shen Nie, Kaiwen Xue, Yue Cao, Chongxuan Li, Hang Su, Jun Zhu
2023 J jnl
Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness.
CoRR
Zhanhao Hu, Jun Zhu, Bo Zhang, Xiaolin Hu
2023 J jnl
Batch virtual adversarial training for graph convolutional networks.
AI Open
Zhijie Deng, Yinpeng Dong, Jun Zhu
2023 A* conf
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving.
CVPR
Yinpeng Dong, Caixin Kang, Jinlai Zhang, Zijian Zhu, Yikai Wang, Xiao Yang, Hang Su, Xingxing Wei, Jun Zhu
2023 J jnl
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving.
CoRR
Yinpeng Dong, Caixin Kang, Jinlai Zhang, Zijian Zhu, Yikai Wang, Xiao Yang, Hang Su, Xingxing Wei, Jun Zhu
2023 A* conf
Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients.
ICLR
Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Jian Song, Ze Cheng
2023 A* conf
Certifiable Out-of-Distribution Generalization.
AAAI
Nanyang Ye, Lin Zhu, Jia Wang, Zhaoyu Zeng, Jiayao Shao, Chensheng Peng, Bikang Pan, Kaican Li, Jun Zhu
2023 J jnl
Confidence-based Reliable Learning under Dual Noises.
CoRR
Peng Cui, Yang Yue, Zhijie Deng, Jun Zhu
2023 A* conf
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning.
ICML
Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu
2023 J jnl
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning.
CoRR
Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu
2023 J jnl
ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing.
CoRR
Min Zhao, Rongzhen Wang, Fan Bao, Chongxuan Li, Jun Zhu
2023 A conf
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization.
AAMAS
Wenze Chen, Shiyu Huang, Yuan Chiang, Ting Chen, Jun Zhu
2023 A* conf
DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.
ICLR
Hao Zhang, Feng Li, Shilong Liu, Lei Zhang, Hang Su, Jun Zhu, Lionel M. Ni, Heung-Yeung Shum
2023 A* conf
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics.
NeurIPS
Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu
2023 J jnl
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics.
CoRR
Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu
2023 A* conf
DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding.
AAAI
Shilong Liu, Shijia Huang, Feng Li, Hao Zhang, Yaoyuan Liang, Hang Su, Jun Zhu, Lei Zhang
2023 A* conf
Detection Transformer with Stable Matching.
ICCV
Shilong Liu, Tianhe Ren, Jiayu Chen, Zhaoyang Zeng, Hao Zhang, Feng Li, Hongyang Li, Jun Huang, Hang Su, Jun Zhu, Lei Zhang
2023 J jnl
Detection Transformer with Stable Matching.
CoRR
Shilong Liu, Tianhe Ren, Jiayu Chen, Zhaoyang Zeng, Hao Zhang, Feng Li, Hongyang Li, Jun Huang, Hang Su, Jun Zhu, Lei Zhang
2023 A* conf
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels.
NeurIPS
Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu
2023 J jnl
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels.
CoRR
Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu
2023 A* conf
Equivariant Energy-Guided SDE for Inverse Molecular Design.
ICLR
Fan Bao, Min Zhao, Zhongkai Hao, Peiyao Li, Chongxuan Li, Jun Zhu
2023 A* conf
GNOT: A General Neural Operator Transformer for Operator Learning.
ICML
Zhongkai Hao, Zhengyi Wang, Hang Su, Chengyang Ying, Yinpeng Dong, Songming Liu, Ze Cheng, Jian Song, Jun Zhu
2023 J jnl
GNOT: A General Neural Operator Transformer for Operator Learning.
CoRR
Zhongkai Hao, Chengyang Ying, Zhengyi Wang, Hang Su, Yinpeng Dong, Songming Liu, Ze Cheng, Jun Zhu, Jian Song
2023 J jnl
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.
CoRR
Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang
2023 J jnl
Heterogeneous Multi-Task Gaussian Cox Processes.
CoRR
Feng Zhou, Quyu Kong, Zhijie Deng, Fengxiang He, Peng Cui, Jun Zhu
2023 J jnl
Heterogeneous multi-task Gaussian Cox processes.
Mach. Learn.
Feng Zhou, Quyu Kong, Zhijie Deng, Fengxiang He, Peng Cui, Jun Zhu
2023 A* conf
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality.
NeurIPS
Liyuan Wang, Jingyi Xie, Xingxing Zhang, Mingyi Huang, Hang Su, Jun Zhu
2023 J jnl
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality.
CoRR
Liyuan Wang, Jingyi Xie, Xingxing Zhang, Mingyi Huang, Hang Su, Jun Zhu
2023 J jnl
How Robust is Google's Bard to Adversarial Image Attacks?
CoRR
Yinpeng Dong, Huanran Chen, Jiawei Chen, Zhengwei Fang, Xiao Yang, Yichi Zhang, Yu Tian, Hang Su, Jun Zhu
2023 A* conf
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs.
ICML
Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu
2023 J jnl
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs.
CoRR
Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu
2023 J jnl
Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligence.
CoRR
Liyuan Wang, Xingxing Zhang, Qian Li, Mingtian Zhang, Hang Su, Jun Zhu, Yi Zhong
2023 J jnl
Incorporating neuro-inspired adaptability for continual learning in artificial intelligence.
Nat. Mac. Intell.
Liyuan Wang, Xingxing Zhang, Qian Li, Mingtian Zhang, Hang Su, Jun Zhu, Yi Zhong
2023 J jnl
InstructPix2NeRF: Instructed 3D Portrait Editing from a Single Image.
CoRR
Jianhui Li, Shilong Liu, Zidong Liu, Yikai Wang, Kaiwen Zheng, Jinghui Xu, Jianmin Li, Jun Zhu
2023 J jnl
Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting.
CoRR
Guande He, Peng Cui, Jianfei Chen, Wenbo Hu, Jun Zhu
2023 J jnl
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents.
CoRR
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
2023 — conf
Learning CLIP Guided Visual-Text Fusion Transformer for Video-based Pedestrian Attribute Recognition.
CVPR Workshops
Jun Zhu, Jiandong Jin, Zihan Yang, Xiaohao Wu, Xiao Wang
2023 A* conf
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction.
NeurIPS
Peng Cui, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu
2023 J jnl
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction.
CoRR
Peng Cui, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu
2023 A* conf
Memory Efficient Optimizers with 4-bit States.
NeurIPS
Bingrui Li, Jianfei Chen, Jun Zhu
2023 J jnl
Memory Efficient Optimizers with 4-bit States.
CoRR
Bingrui Li, Jianfei Chen, Jun Zhu
2023 A* conf
MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks.
ICML
Jiachen Yao, Chang Su, Zhongkai Hao, Songming Liu, Hang Su, Jun Zhu
2023 J jnl
MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks.
CoRR
Jiachen Yao, Chang Su, Zhongkai Hao, Songming Liu, Hang Su, Jun Zhu
2023 A* conf
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data.
ICML
Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu
2023 J jnl
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data.
CoRR
Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu
2023 A* conf
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling.
ICLR
Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu
2023 A* conf
On the Reuse Bias in Off-Policy Reinforcement Learning.
IJCAI
Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Dong Yan, Jun Zhu
2023 A* conf
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale.
ICML
Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu
2023 J jnl
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale.
CoRR
Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu
2023 A* conf
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation.
NeurIPS
Yilin Lyu, Liyuan Wang, Xingxing Zhang, Zicheng Sun, Hang Su, Jun Zhu, Liping Jing
2023 J jnl
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation.
CoRR
Yilin Lyu, Liyuan Wang, Xingxing Zhang, Zicheng Sun, Hang Su, Jun Zhu, Liping Jing
2023 J jnl
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
CoRR
Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, Jun Zhu
2023 A* conf
PREIM3D: 3D Consistent Precise Image Attribute Editing from a Single Image.
CVPR
Jianhui Li, Jianmin Li, Haoji Zhang, Shilong Liu, Zhengyi Wang, Zihao Xiao, Kaiwen Zheng, Jun Zhu
2023 J jnl
PREIM3D: 3D Consistent Precise Image Attribute Editing from a Single Image.
CoRR
Jianhui Li, Jianmin Li, Haoji Zhang, Shilong Liu, Zhengyi Wang, Zihao Xiao, Kaiwen Zheng, Jun Zhu
2023 A* conf
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations.
KDD
Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu
2023 A* conf
Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models.
ICLR
Guande He, Jianfei Chen, Jun Zhu
2023 J jnl
Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models.
CoRR
Guande He, Jianfei Chen, Jun Zhu
2023 A* conf
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation.
NeurIPS
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu
2023 J jnl
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation.
CoRR
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu
2023 J jnl
Rethinking Model Ensemble in Transfer-based Adversarial Attacks.
CoRR
Huanran Chen, Yichi Zhang, Yinpeng Dong, Jun Zhu
2023 A* conf
Revisiting Discriminative vs. Generative Classifiers: Theory and Implications.
ICML
Chenyu Zheng, Guoqiang Wu, Fan Bao, Yue Cao, Chongxuan Li, Jun Zhu
2023 J jnl
Revisiting Discriminative vs. Generative Classifiers: Theory and Implications.
CoRR
Chenyu Zheng, Guoqiang Wu, Fan Bao, Yue Cao, Chongxuan Li, Jun Zhu
2023 J jnl
Reward Informed Dreamer for Task Generalization in Reinforcement Learning.
CoRR
Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Songming Liu, Jialian Li, Dong Yan, Jun Zhu
2023 J jnl
Robust Classification via a Single Diffusion Model.
CoRR
Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu
2023 J jnl
Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis.
CoRR
Zehua Chen, Guande He, Kaiwen Zheng, Xu Tan, Jun Zhu
2023 J jnl
Score Regularized Policy Optimization through Diffusion Behavior.
CoRR
Huayu Chen, Cheng Lu, Zhengyi Wang, Hang Su, Jun Zhu
2023 A* conf
Stabilizing GANs' Training with Brownian Motion Controller.
ICML
Tianjiao Luo, Ziyu Zhu, Jianfei Chen, Jun Zhu
2023 J jnl
Stabilizing GANs' Training with Brownian Motion Controller.
CoRR
Tianjiao Luo, Ziyu Zhu, Jianfei Chen, Jun Zhu
2023 J jnl
To Make Yourself Invisible with Adversarial Semantic Contours.
CoRR
Yichi Zhang, Zijian Zhu, Hang Su, Jun Zhu, Shibao Zheng, Yuan He, Hui Xue
2023 J jnl
To make yourself invisible with Adversarial Semantic Contours.
Comput. Vis. Image Underst.
Yichi Zhang, Zijian Zhu, Hang Su, Jun Zhu, Shibao Zheng, Yuan He, Hui Xue
2023 J jnl
Toward the third generation artificial intelligence.
Sci. China Inf. Sci.
Bo Zhang, Jun Zhu, Hang Su
2023 A* conf
Towards Accelerated Model Training via Bayesian Data Selection.
NeurIPS
Zhijie Deng, Peng Cui, Jun Zhu
2023 J jnl
Towards Accelerated Model Training via Bayesian Data Selection.
CoRR
Zhijie Deng, Peng Cui, Jun Zhu
2023 A* conf
Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition.
CVPR
Xiao Yang, Chang Liu, Longlong Xu, Yikai Wang, Yinpeng Dong, Ning Chen, Hang Su, Jun Zhu
2023 J jnl
Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition.
CoRR
Xiao Yang, Chang Liu, Longlong Xu, Yikai Wang, Yinpeng Dong, Ning Chen, Hang Su, Jun Zhu
2023 J jnl
Towards a General Framework for Continual Learning with Pre-training.
CoRR
Liyuan Wang, Jingyi Xie, Xingxing Zhang, Hang Su, Jun Zhu
2023 A* conf
Training Transformers with 4-bit Integers.
NeurIPS
Haocheng Xi, Changhao Li, Jianfei Chen, Jun Zhu
2023 J jnl
Training Transformers with 4-bit Integers.
CoRR
Haocheng Xi, Changhao Li, Jianfei Chen, Jun Zhu
2023 J jnl
Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning.
Nat. Mac. Intell.
Yudeng Lin, Qingtian Zhang, Bin Gao, Jianshi Tang, Peng Yao, Chongxuan Li, Shiyu Huang, Zhengwu Liu, Ying Zhou, Yuyi Liu, Wenqiang Zhang, Jun Zhu, He Qian, Huaqiang Wu
2022 A* conf
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs.
NeurIPS
Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Ze Cheng
2022 J jnl
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs.
CoRR
Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Ze Cheng
2022 A* conf
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning.
NeurIPS
Zhijie Deng, Feng Zhou, Jun Zhu
2022 J jnl
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning.
CoRR
Zhijie Deng, Feng Zhou, Jun Zhu
2022 J jnl
All are Worth Words: a ViT Backbone for Score-based Diffusion Models.
CoRR
Fan Bao, Chongxuan Li, Yue Cao, Jun Zhu
2022 J jnl
Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness.
Neurocomputing
Zhanhao Hu, Jun Zhu, Bo Zhang, Xiaolin Hu
2022 A* conf
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models.
ICLR
Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang
2022 J jnl
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models.
CoRR
Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang
2022 A* conf
AutoDA: Automated Decision-based Iterative Adversarial Attacks.
USENIX Security Symposium
Qi-An Fu, Yinpeng Dong, Hang Su, Jun Zhu, Chao Zhang
2022 A* conf
AutoLoss-GMS: Searching Generalized Margin-based Softmax Loss Function for Person Re-identification.
CVPR
Hongyang Gu, Jianmin Li, Guangyuan Fu, Chifong Wong, Xinghao Chen, Jun Zhu
2022 — conf
BadDet: Backdoor Attacks on Object Detection.
ECCV Workshops (1)
Shih-Han Chan, Yinpeng Dong, Jun Zhu, Xiaolu Zhang, Jun Zhou
2022 J jnl
BadDet: Backdoor Attacks on Object Detection.
CoRR
Shih-Han Chan, Yinpeng Dong, Jun Zhu, Xiaolu Zhang, Jun Zhou
2022 C conf
BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning.
ACML
Zhijie Deng, Jun Zhu
2022 J jnl
Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients.
CoRR
Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Jian Song, Ze Cheng
2022 — conf
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks.
ECCV (4)
Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
2022 A* conf
Cluster Attack: Query-based Adversarial Attacks on Graph with Graph-Dependent Priors.
IJCAI
Zhengyi Wang, Zhongkai Hao, Ziqiao Wang, Hang Su, Jun Zhu
2022 — conf
CoSCL: Cooperation of Small Continual Learners is Stronger Than a Big One.
ECCV (26)
Liyuan Wang, Xingxing Zhang, Qian Li, Jun Zhu, Yi Zhong
2022 J jnl
CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One.
CoRR
Liyuan Wang, Xingxing Zhang, Qian Li, Jun Zhu, Yi Zhong
2022 A* conf
Confidence-based Reliable Learning under Dual Noises.
NeurIPS
Peng Cui, Yang Yue, Zhijie Deng, Jun Zhu
2022 J jnl
Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation.
CoRR
You Qiaoben, Chengyang Ying, Xinning Zhou, Hang Su, Jun Zhu, Bo Zhang
2022 J jnl
Controllable Evaluation and Generation of Physical Adversarial Patch on Face Recognition.
CoRR
Xiao Yang, Yinpeng Dong, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu
2022 A* conf
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR.
ICLR
Shilong Liu, Feng Li, Hao Zhang, Xiao Yang, Xianbiao Qi, Hang Su, Jun Zhu, Lei Zhang
2022 J jnl
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR.
CoRR
Shilong Liu, Feng Li, Hao Zhang, Xiao Yang, Xianbiao Qi, Hang Su, Jun Zhu, Lei Zhang
2022 J jnl
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization.
CoRR
Wenze Chen, Shiyu Huang, Yuan Chiang, Ting Chen, Jun Zhu
2022 J jnl
DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.
CoRR
Hao Zhang, Feng Li, Shilong Liu, Lei Zhang, Hang Su, Jun Zhu, Lionel M. Ni, Heung-Yeung Shum
2022 J jnl
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.
CoRR
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
2022 A* conf
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps.
NeurIPS
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
2022 J jnl
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps.
CoRR
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
2022 J jnl
DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding.
CoRR
Shilong Liu, Yaoyuan Liang, Feng Li, Shijia Huang, Hao Zhang, Hang Su, Jun Zhu, Lei Zhang
2022 J jnl
Deep Ensemble as a Gaussian Process Approximate Posterior.
CoRR
Zhijie Deng, Feng Zhou, Jianfei Chen, Guoqiang Wu, Jun Zhu
2022 J jnl
Deep reinforcement learning with credit assignment for combinatorial optimization.
Pattern Recognit.
Dong Yan, Jiayi Weng, Shiyu Huang, Chongxuan Li, Yichi Zhou, Hang Su, Jun Zhu
2022 J jnl
Diagnosing Ensemble Few-Shot Classifiers.
CoRR
Weikai Yang, Xi Ye, Xingxing Zhang, Lanxi Xiao, Jiazhi Xia, Zhongyuan Wang, Jun Zhu, Hanspeter Pfister, Shixia Liu
2022 J jnl
Diagnosing Ensemble Few-Shot Classifiers.
IEEE Trans. Vis. Comput. Graph.
Weikai Yang, Xi Ye, Xingxing Zhang, Lanxi Xiao, Jiazhi Xia, Zhongyuan Wang, Jun Zhu, Hanspeter Pfister, Shixia Liu
2022 A* conf
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations.
NeurIPS
Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu
2022 J jnl
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations.
CoRR
Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu
2022 J jnl
Efficient Inference for Dynamic Flexible Interactions of Neural Populations.
J. Mach. Learn. Res.
Feng Zhou, Quyu Kong, Zhijie Deng, Jichao Kan, Yixuan Zhang, Cheng Feng, Jun Zhu
2022 J jnl
Equivariant Energy-Guided SDE for Inverse Molecular Design.
CoRR
Fan Bao, Min Zhao, Zhongkai Hao, Peiyao Li, Chongxuan Li, Jun Zhu
2022 A* conf
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models.
ICML
Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang
2022 J jnl
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models.
CoRR
Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang
2022 A* conf
Exploring Memorization in Adversarial Training.
ICLR
Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu
2022 A* conf
Fast Instrument Learning with Faster Rates.
NeurIPS
Ziyu Wang, Yuhao Zhou, Jun Zhu
2022 J jnl
Fast Instrument Learning with Faster Rates.
CoRR
Ziyu Wang, Yuhao Zhou, Jun Zhu
2022 A* conf
Fast Lossless Neural Compression with Integer-Only Discrete Flows.
ICML
Siyu Wang, Jianfei Chen, Chongxuan Li, Jun Zhu, Bo Zhang
2022 J jnl
Fast Lossless Neural Compression with Integer-Only Discrete Flows.
CoRR
Siyu Wang, Jianfei Chen, Chongxuan Li, Jun Zhu, Bo Zhang
2022 A* conf
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing.
ICML
Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jian Song, Jun Zhu
2022 J jnl
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing.
CoRR
Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jun Zhu, Jian Song
2022 J jnl
Improving transferability of 3D adversarial attacks with scale and shear transformations.
CoRR
Jinali Zhang, Yinpeng Dong, Jun Zhu, Jihong Zhu, Minchi Kuang, Xiaming Yuan
2022 A* conf
Isometric 3D Adversarial Examples in the Physical World.
NeurIPS
Yibo Miao, Yinpeng Dong, Jun Zhu, Xiao-Shan Gao
2022 J jnl
Isometric 3D Adversarial Examples in the Physical World.
CoRR
Yibo Miao, Yinpeng Dong, Jun Zhu, Xiao-Shan Gao
2022 J jnl
Loss function search for person re-identification.
Pattern Recognit.
Hongyang Gu, Jianmin Li, Guangyuan Fu, Min Yue, Jun Zhu
2022 J jnl
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching.
CoRR
Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
2022 A* conf
Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching.
ICML
Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
2022 A* conf
Memory Replay with Data Compression for Continual Learning.
ICLR
Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu
2022 J jnl
Memory Replay with Data Compression for Continual Learning.
CoRR
Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu
2022 J jnl
Model-based Reinforcement Learning with a Hamiltonian Canonical ODE Network.
CoRR
Yao Feng, Yuhong Jiang, Hang Su, Dong Yan, Jun Zhu
2022 J jnl
Neural Eigenfunctions Are Structured Representation Learners.
CoRR
Zhijie Deng, Jiaxin Shi, Hao Zhang, Peng Cui, Cewu Lu, Jun Zhu
2022 A* conf
NeuralEF: Deconstructing Kernels by Deep Neural Networks.
ICML
Zhijie Deng, Jiaxin Shi, Jun Zhu
2022 J jnl
NeuralEF: Deconstructing Kernels by Deep Neural Networks.
CoRR
Zhijie Deng, Jiaxin Shi, Jun Zhu
2022 J jnl
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling.
CoRR
Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu
2022 J jnl
On the Reuse Bias in Off-Policy Reinforcement Learning.
CoRR
Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Dong Yan, Jun Zhu
2022 A* conf
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization.
CVPR
Nanyang Ye, Kaican Li, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu
2022 J jnl
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications.
CoRR
Zhongkai Hao, Songming Liu, Yichi Zhang, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu
2022 A* conf
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model.
AAAI
Jialian Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu
2022 J jnl
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model.
CoRR
Jialian Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu
2022 J jnl
Query-Efficient Black-Box Adversarial Attacks Guided by a Transfer-Based Prior.
IEEE Trans. Pattern Anal. Mach. Intell.
Yinpeng Dong, Shuyu Cheng, Tianyu Pang, Hang Su, Jun Zhu
2022 J jnl
Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Prior.
CoRR
Yinpeng Dong, Shuyu Cheng, Tianyu Pang, Hang Su, Jun Zhu
2022 J jnl
Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data.
CoRR
Wenkai Li, Cheng Feng, Ting Chen, Jun Zhu
2022 A* conf
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition.
ICML
Tianyu Pang, Min Lin, Xiao Yang, Jun Zhu, Shuicheng Yan
2022 J jnl
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition.
CoRR
Tianyu Pang, Min Lin, Xiao Yang, Jun Zhu, Shuicheng Yan
2022 J jnl
Spectral Representation Learning for Conditional Moment Models.
CoRR
Ziyu Wang, Yucen Luo, Yueru Li, Jun Zhu, Bernhard Schölkopf
2022 A* conf
The More, The Better? Active Silencing of Non-Positive Transfer for Efficient Multi-Domain Few-Shot Classification.
ACM Multimedia
Xingxing Zhang, Zhizhe Liu, Weikai Yang, Liyuan Wang, Jun Zhu
2022 J jnl
Tianshou: A Highly Modularized Deep Reinforcement Learning Library.
J. Mach. Learn. Res.
Jiayi Weng, Huayu Chen, Dong Yan, Kaichao You, Alexis Duburcq, Minghao Zhang, Yi Su, Hang Su, Jun Zhu
2022 A* conf
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk.
IJCAI
Chengyang Ying, Xinning Zhou, Hang Su, Dong Yan, Ning Chen, Jun Zhu
2022 J jnl
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk.
CoRR
Chengyang Ying, Xinning Zhou, Hang Su, Dong Yan, Ning Chen, Jun Zhu
2022 J jnl
Towards generalizable detection of face forgery via self-guided model-agnostic learning.
Pattern Recognit. Lett.
Xiao Yang, Shilong Liu, Yinpeng Dong, Hang Su, Lei Zhang, Jun Zhu
2022 J jnl
Triple Generative Adversarial Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Chongxuan Li, Kun Xu, Jun Zhu, Jiashuo Liu, Bo Zhang
2022 J jnl
Triple-Memory Networks: A Brain-Inspired Method for Continual Learning.
IEEE Trans. Neural Networks Learn. Syst.
Liyuan Wang, Bo Lei, Qian Li, Hang Su, Jun Zhu, Yi Zhong
2022 A* conf
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart.
CVPR
Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu
2022 C conf
VMAPD: Generate Diverse Solutions for Multi-Agent Games with Recurrent Trajectory Discriminators.
CoG
Shiyu Huang, Chao Yu, Bin Wang, Dong Li, Yu Wang, Ting Chen, Jun Zhu
2022 A* conf
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints.
NeurIPS
Yinpeng Dong, Shouwei Ruan, Hang Su, Caixin Kang, Xingxing Wei, Jun Zhu
2022 J jnl
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints.
CoRR
Yinpeng Dong, Shouwei Ruan, Hang Su, Caixin Kang, Xingxing Wei, Jun Zhu
2022 J jnl
Why Are Conditional Generative Models Better Than Unconditional Ones?
CoRR
Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu
2021 A* conf
AFEC: Active Forgetting of Negative Transfer in Continual Learning.
NeurIPS
Liyuan Wang, Mingtian Zhang, Zhongfan Jia, Qian Li, Chenglong Bao, Kaisheng Ma, Jun Zhu, Yi Zhong
2021 J jnl
AFEC: Active Forgetting of Negative Transfer in Continual Learning.
CoRR
Liyuan Wang, Mingtian Zhang, Zhongfan Jia, Qian Li, Chenglong Bao, Kaisheng Ma, Jun Zhu, Yi Zhong
2021 A* conf
Accumulative Poisoning Attacks on Real-time Data.
NeurIPS
Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu
2021 J jnl
Accumulative Poisoning Attacks on Real-time Data.
CoRR
Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu
2021 J jnl
Accurate and Reliable Forecasting using Stochastic Differential Equations.
CoRR
Peng Cui, Zhijie Deng, Wenbo Hu, Jun Zhu
2021 J jnl
AdvCapsNet: To defense adversarial attacks based on Capsule networks.
J. Vis. Commun. Image Represent.
Yueqiao Li, Hang Su, Jun Zhu
2021 J jnl
Adversarial Attacks on ML Defense Models Competition.
CoRR
Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Jiayu Tang, Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Ye Liu, Qilong Zhang, Lianli Gao, Yunrui Yu, Xitong Gao, Zhe Zhao, Daquan Lin, Jiadong Lin, Chuanbiao Song, Zihao Wang, Zhennan Wu, Yang Guo, Jiequan Cui, Xiaogang Xu, Pengguang Chen
2021 J jnl
Adversarial Semantic Contour for Object Detection.
CoRR
Yichi Zhang, Zijian Zhu, Xiao Yang, Jun Zhu
2021 J jnl
Adversarial Training with Rectified Rejection.
CoRR
Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu
2021 J jnl
Analyzing the Noise Robustness of Deep Neural Networks.
IEEE Trans. Vis. Comput. Graph.
Kelei Cao, Mengchen Liu, Hang Su, Jing Wu, Jun Zhu, Shixia Liu
2021 J jnl
Auto-ReID+: Searching for a multi-branch ConvNet for person re-identification.
Neurocomputing
Hongyang Gu, Guangyuan Fu, Jianmin Li, Jun Zhu
2021 J jnl
Automated Decision-based Adversarial Attacks.
CoRR
Qi-An Fu, Yinpeng Dong, Hang Su, Jun Zhu
2021 A* conf
Bag of Tricks for Adversarial Training.
ICLR
Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu
2021 A* conf
Black-box Detection of Backdoor Attacks with Limited Information and Data.
ICCV
Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu
2021 J jnl
Black-box Detection of Backdoor Attacks with Limited Information and Data.
CoRR
Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu
2021 J jnl
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks.
CoRR
Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
2021 A* conf
Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu.
IJCAI
Yunsheng Zhang, Dong Yan, Bei Shi, Haobo Fu, Qiang Fu, Hang Su, Jun Zhu, Ning Chen
2021 J jnl
DNN2LR: Automatic Feature Crossing for Credit Scoring.
CoRR
Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu
2021 A* conf
Efficient Inference of Flexible Interaction in Spiking-neuron Networks.
ICLR
Feng Zhou, Yixuan Zhang, Jun Zhu
2021 J jnl
Exploring Memorization in Adversarial Training.
CoRR
Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu
2021 J jnl
Few-shot Continual Learning: a Brain-inspired Approach.
CoRR
Liyuan Wang, Qian Li, Yi Zhong, Jun Zhu
2021 A conf
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings.
AISTATS
Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf
2021 A* conf
Implicit Normalizing Flows.
ICLR
Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu
2021 J jnl
Implicit Normalizing Flows.
CoRR
Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu
2021 A* conf
Improving Generative Moment Matching Networks with Distribution Partition.
AAAI
Yong Ren, Yucen Luo, Jun Zhu
2021 A* conf
Improving Transferability of Adversarial Patches on Face Recognition With Generative Models.
CVPR
Zihao Xiao, Xianfeng Gao, Chilin Fu, Yinpeng Dong, Wei Gao, Xiaolu Zhang, Jun Zhou, Jun Zhu
2021 J jnl
Improving Transferability of Adversarial Patches on Face Recognition with Generative Models.
CoRR
Zihao Xiao, Xianfeng Gao, Chilin Fu, Yinpeng Dong, Wei Gao, Xiaolu Zhang, Jun Zhou, Jun Zhu
2021 J jnl
KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients.
CoRR
Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Jun Zhu
2021 A* conf
Learning Task-Distribution Reward Shaping with Meta-Learning.
AAAI
Haosheng Zou, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu
2021 J jnl
Learning auto-scale representations for person re-identification.
Image Vis. Comput.
Hongyang Gu, Guangyuan Fu, Xu Wang, Jun Zhu
2021 A* conf
LiBRe: A Practical Bayesian Approach to Adversarial Detection.
CVPR
Zhijie Deng, Xiao Yang, Shizhen Xu, Hang Su, Jun Zhu
2021 J jnl
LiBRe: A Practical Bayesian Approach to Adversarial Detection.
CoRR
Zhijie Deng, Xiao Yang, Shizhen Xu, Hang Su, Jun Zhu
2021 A* conf
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering.
ICLR
Tsung Wei Tsai, Chongxuan Li, Jun Zhu
2021 J jnl
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering.
CoRR
Tsung Wei Tsai, Chongxuan Li, Jun Zhu
2021 A conf
Mining Cross Features for Financial Credit Risk Assessment.
CIKM
Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu
2021 J jnl
Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness.
CoRR
Xiao Yang, Yinpeng Dong, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu
2021 J jnl
Nonlinear Hawkes Processes in Time-Varying System.
CoRR
Feng Zhou, Quyu Kong, Yixuan Zhang, Cheng Feng, Jun Zhu
2021 A* conf
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning.
CVPR
Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu
2021 J jnl
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning.
CoRR
Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu
2021 — conf
Off-Policy Training for Truncated TD(λ) Boosted Soft Actor-Critic.
PRICAI (3)
Shiyu Huang, Bin Wang, Hang Su, Dong Li, Jianye Hao, Jun Zhu, Ting Chen
2021 A* conf
On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms.
NeurIPS
Shuyu Cheng, Guoqiang Wu, Jun Zhu
2021 J jnl
On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms.
CoRR
Shuyu Cheng, Guoqiang Wu, Jun Zhu
2021 J jnl
Pre-Trained Models: Past, Present and Future.
CoRR
Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, 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
2021 J jnl
Pre-trained models: Past, present and future.
AI Open
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
2021 J jnl
Query-based Adversarial Attacks on Graph with Fake Nodes.
CoRR
Zhengyi Wang, Zhongkai Hao, Hang Su, Jun Zhu
2021 J jnl
Query2Label: A Simple Transformer Way to Multi-Label Classification.
CoRR
Shilong Liu, Lei Zhang, Xiao Yang, Hang Su, Jun Zhu
2021 J jnl
Ranking Cost: Building An Efficient and Scalable Circuit Routing Planner with Evolution-Based Optimization.
CoRR
Shiyu Huang, Bin Wang, Dong Li, Jianye Hao, Ting Chen, Jun Zhu
2021 J jnl
Regularized OFU: an Efficient UCB Estimator forNon-linear Contextual Bandit.
CoRR
Yichi Zhou, Shihong Song, Huishuai Zhang, Jun Zhu, Wei Chen, Tie-Yan Liu
2021 J jnl
Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation.
CoRR
Qijun Luo, Zhili Liu, Lanqing Hong, Chongxuan Li, Kuo Yang, Liyuan Wang, Fengwei Zhou, Guilin Li, Zhenguo Li, Jun Zhu
2021 J jnl
Rethinking Natural Adversarial Examples for Classification Models.
CoRR
Xiao Li, Jianmin Li, Ting Dai, Jie Shi, Jun Zhu, Xiaolin Hu
2021 A* conf
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization.
NeurIPS
Guoqiang Wu, Chongxuan Li, Kun Xu, Jun Zhu
2021 J jnl
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization.
CoRR
Guoqiang Wu, Chongxuan Li, Kun Xu, Jun Zhu
2021 A* conf
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression.
NeurIPS
Ziyu Wang, Yuhao Zhou, Tongzheng Ren, Jun Zhu
2021 J jnl
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression.
CoRR
Ziyu Wang, Yuhao Zhou, Tongzheng Ren, Jun Zhu
2021 J jnl
Semiparametric method and theory for continuously indexed spatio-temporal processes.
J. Multivar. Anal.
Jialuo Liu, Tingjin Chu, Jun Zhu, Haonan Wang
2021 A* conf
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization.
NeurIPS
Fan Bao, Guoqiang Wu, Chongxuan Li, Jun Zhu, Bo Zhang
2021 J jnl
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization.
CoRR
Fan Bao, Guoqiang Wu, Chongxuan Li, Jun Zhu, Bo Zhang
2021 J jnl
TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrations.
CoRR
Shiyu Huang, Wenze Chen, Longfei Zhang, Ziyang Li, Fengming Zhu, Deheng Ye, Ting Chen, Jun Zhu
2021 J jnl
Tianshou: a Highly Modularized Deep Reinforcement Learning Library.
CoRR
Jiayi Weng, Huayu Chen, Dong Yan, Kaichao You, Alexis Duburcq, Minghao Zhang, Hang Su, Jun Zhu
2021 A* conf
Towards Face Encryption by Generating Adversarial Identity Masks.
ICCV
Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu, Yuefeng Chen, Hui Xue
2021 J jnl
Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning.
CoRR
You Qiaoben, Chengyang Ying, Xinning Zhou, Hang Su, Jun Zhu, Bo Zhang
2021 J jnl
Unrestricted Adversarial Attacks on ImageNet Competition.
CoRR
Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Fangcheng Liu, Chao Zhang, Hongyang Zhang, Yichi Zhang, Shilong Liu, Chang Liu, Wenzhao Xiang, Yajie Wang, Huipeng Zhou, Haoran Lyu, Yidan Xu, Zixuan Xu, Taoyu Zhu, Wenjun Li, Xianfeng Gao, Guoqiu Wang, Huanqian Yan, Ying Guo, Chaoning Zhang, Zheng Fang, Yang Wang, Bingyang Fu, Yunfei Zheng, Yekui Wang, Haorong Luo, Zhen Yang
2021 A* conf
Unsupervised Part Segmentation Through Disentangling Appearance and Shape.
CVPR
Shilong Liu, Lei Zhang, Xiao Yang, Hang Su, Jun Zhu
2021 J jnl
Unsupervised Part Segmentation through Disentangling Appearance and Shape.
CoRR
Shilong Liu, Lei Zhang, Xiao Yang, Hang Su, Jun Zhu
2021 A* conf
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models.
ICML
Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang
2020 J jnl
A Hierarchical Recurrent Neural Network for Symbolic Melody Generation.
IEEE Trans. Cybern.
Jian Wu, Changran Hu, Yulong Wang, Xiaolin Hu, Jun Zhu
2020 A conf
A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models.
AISTATS
Ziyu Wang, Shuyu Cheng, Yueru Li, Jun Zhu, Bo Zhang
2020 J jnl
A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models.
CoRR
Ziyu Wang, Shuyu Cheng, Yueru Li, Jun Zhu, Bo Zhang
2020 A* conf
Adversarial Distributional Training for Robust Deep Learning.
NeurIPS
Yinpeng Dong, Zhijie Deng, Tianyu Pang, Jun Zhu, Hang Su
2020 J jnl
Adversarial Distributional Training for Robust Deep Learning.
CoRR
Zhijie Deng, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
2020 J jnl
Analyzing the Noise Robustness of Deep Neural Networks.
CoRR
Kelei Cao, Mengchen Liu, Hang Su, Jing Wu, Jun Zhu, Shixia Liu
2020 J jnl
Bag of Tricks for Adversarial Training.
CoRR
Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu
2020 J jnl
BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning.
CoRR
Zhijie Deng, Xiao Yang, Hao Zhang, Yinpeng Dong, Jun Zhu
2020 A* conf
Benchmarking Adversarial Robustness on Image Classification.
CVPR
Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, Jun Zhu
2020 A* conf
Bi-level Score Matching for Learning Energy-based Latent Variable Models.
NeurIPS
Fan Bao, Chongxuan Li, Taufik Xu, Hang Su, Jun Zhu, Bo Zhang
2020 J jnl
Bi-level Score Matching for Learning Energy-based Latent Variable Models.
CoRR
Fan Bao, Chongxuan Li, Kun Xu, Hang Su, Jun Zhu, Bo Zhang
2020 A* conf
Boosting Adversarial Training with Hypersphere Embedding.
NeurIPS
Tianyu Pang, Xiao Yang, Yinpeng Dong, Taufik Xu, Jun Zhu, Hang Su
2020 J jnl
Boosting Adversarial Training with Hypersphere Embedding.
CoRR
Tianyu Pang, Xiao Yang, Yinpeng Dong, Kun Xu, Hang Su, Jun Zhu
2020 J jnl
Brain-inspired global-local hybrid learning towards human-like intelligence.
CoRR
Yujie Wu, Rong Zhao, Jun Zhu, Feng Chen, Mingkun Xu, Guoqi Li, Sen Song, Lei Deng, Guanrui Wang, Hao Zheng, Jing Pei, Youhui Zhang, Mingguo Zhao, Luping Shi
2020 A* conf
Calibrated Reliable Regression using Maximum Mean Discrepancy.
NeurIPS
Peng Cui, Wenbo Hu, Jun Zhu
2020 J jnl
Calibrated Reliable Regression using Maximum Mean Discrepancy.
CoRR
Peng Cui, Wenbo Hu, Jun Zhu
2020 J jnl
Deep Active Learning by Model Interpretability.
CoRR
Qiang Liu, Zhaocheng Liu, Xiaofang Zhu, Yeliang Xiu, Jun Zhu
2020 — conf
Defense Against Adversarial Attacks via Controlling Gradient Leaking on Embedded Manifolds.
ECCV (28)
Yueru Li, Shuyu Cheng, Hang Su, Jun Zhu
2020 J jnl
Delving into the Adversarial Robustness on Face Recognition.
CoRR
Xiao Yang, Dingcheng Yang, Yinpeng Dong, Wenjian Yu, Hang Su, Jun Zhu
2020 — conf
Design and Interpretation of Universal Adversarial Patches in Face Detection.
ECCV (17)
Xiao Yang, Fangyun Wei, Hongyang Zhang, Jun Zhu
2020 B conf
Discrete Memory Addressing Variational Autoencoder for Visual Concept Learning.
IJCNN
Yanze Min, Hang Su, Jun Zhu, Bo Zhang
2020 J jnl
Dynamic Window-level Granger Causality of Multi-channel Time Series.
CoRR
Zhiheng Zhang, Wenbo Hu, Tian Tian, Jun Zhu
2020 J jnl
Efficient Inference of Nonparametric Interaction in Spiking-neuron Networks.
CoRR
Feng Zhou, Yixuan Zhang, Jun Zhu
2020 A* conf
Efficient Learning of Generative Models via Finite-Difference Score Matching.
NeurIPS
Tianyu Pang, Taufik Xu, Chongxuan Li, Yang Song, Stefano Ermon, Jun Zhu
2020 J jnl
Efficient Learning of Generative Models via Finite-Difference Score Matching.
CoRR
Tianyu Pang, Kun Xu, Chongxuan Li, Yang Song, Stefano Ermon, Jun Zhu
2020 A conf
Exploration Analysis in Finite-Horizon Turn-based Stochastic Games.
UAI
Jialian Li, Yichi Zhou, Tongzheng Ren, Jun Zhu
2020 J jnl
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings.
CoRR
Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf
2020 — conf
Further Analysis of Outlier Detection with Deep Generative Models.
ICBINB@NeurIPS
Ziyu Wang, Bin Dai, David Wipf, Jun Zhu
2020 A* conf
Further Analysis of Outlier Detection with Deep Generative Models.
NeurIPS
Ziyu Wang, Bin Dai, David P. Wipf, Jun Zhu
2020 J jnl
Further Analysis of Outlier Detection with Deep Generative Models.
CoRR
Ziyu Wang, Bin Dai, David P. Wipf, Jun Zhu
2020 A* conf
Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information.
ICLR
Yichi Zhou, Tongzheng Ren, Jialian Li, Dong Yan, Jun Zhu
2020 — conf
Learning Implicit Generative Models by Teaching Density Estimators.
ECML/PKDD (2)
Kun Xu, Chao Du, Chongxuan Li, Jun Zhu, Bo Zhang
2020 A* conf
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks.
ICLR
Tianyu Pang, Kun Xu, Jun Zhu
2020 A* conf
Multi-label classification: do Hamming loss and subset accuracy really conflict with each other?
NeurIPS
Guoqiang Wu, Jun Zhu
2020 J jnl
Multi-label classification: do Hamming loss and subset accuracy really conflict with each other?
CoRR
Guoqiang Wu, Jun Zhu
2020 A* conf
Nonparametric Score Estimators.
ICML
Yuhao Zhou, Jiaxin Shi, Jun Zhu
2020 J jnl
Nonparametric Score Estimators.
CoRR
Yuhao Zhou, Jiaxin Shi, Jun Zhu
2020 J jnl
PopMNet: Generating structured pop music melodies using neural networks.
Artif. Intell.
Jian Wu, Xiaoguang Liu, Xiaolin Hu, Jun Zhu
2020 A* conf
Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information.
ICLR
Yichi Zhou, Jialian Li, Jun Zhu
2020 A* conf
Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness.
ICLR
Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu
2020 A* conf
SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models.
ICLR
Yucen Luo, Alex Beatson, Mohammad Norouzi, Jun Zhu, David Duvenaud, Ryan P. Adams, Ricky T. Q. Chen
2020 J jnl
SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models.
CoRR
Yucen Luo, Alex Beatson, Mohammad Norouzi, Jun Zhu, David Duvenaud, Ryan P. Adams, Ricky T. Q. Chen
2020 A* conf
SVQN: Sequential Variational Soft Q-Learning Networks.
ICLR
Shiyu Huang, Hang Su, Jun Zhu, Ting Chen
2020 J jnl
SaberLDA: Sparsity-Aware Learning of Topic Models on GPUs.
IEEE Trans. Parallel Distributed Syst.
Kaiwei Li, Jianfei Chen, Wenguang Chen, Jun Zhu
2020 J jnl
Series Saliency: Temporal Interpretation for Multivariate Time Series Forecasting.
CoRR
Qingyi Pan, Wenbo Hu, Jun Zhu
2020 A* conf
To Relieve Your Headache of Training an MRF, Take AdVIL.
ICLR
Chongxuan Li, Chao Du, Kun Xu, Max Welling, Jun Zhu, Bo Zhang
2020 J jnl
Toward Accurate Visual Reasoning With Dual-Path Neural Module Networks.
Frontiers Robotics AI
Ke Su, Hang Su, Jianguo Li, Jun Zhu
2020 J jnl
Towards Privacy Protection by Generating Adversarial Identity Masks.
CoRR
Xiao Yang, Yinpeng Dong, Tianyu Pang, Jun Zhu, Hang Su
2020 J jnl
Towards a new generation of artificial intelligence in China.
Nat. Mach. Intell.
Fei Wu, Cewu Lu, Mingjie Zhu, Hao Chen, Jun Zhu, Kai Yu, Lei Li, Ming Li, Qianfeng Chen, Xi Li, Xudong Cao, Zhongyuan Wang, Zhengjun Zha, Yueting Zhuang, Yunhe Pan
2020 — conf
Training Interpretable Convolutional Neural Networks by Differentiating Class-Specific Filters.
ECCV (2)
Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang
2020 J jnl
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters.
CoRR
Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang
2020 J jnl
Triple Memory Networks: a Brain-Inspired Method for Continual Learning.
CoRR
Liyuan Wang, Bo Lei, Qian Li, Hang Su, Jun Zhu, Yi Zhong
2020 A* conf
Understanding and Exploring the Network with Stochastic Architectures.
NeurIPS
Zhijie Deng, Yinpeng Dong, Shifeng Zhang, Jun Zhu
2020 A* conf
Understanding and Stabilizing GANs' Training Dynamics Using Control Theory.
ICML
Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang
2020 A* conf
VFlow: More Expressive Generative Flows with Variational Data Augmentation.
ICML
Jianfei Chen, Cheng Lu, Biqi Chenli, Jun Zhu, Tian Tian
2020 J jnl
VFlow: More Expressive Generative Flows with Variational Data Augmentation.
CoRR
Jianfei Chen, Cheng Lu, Biqi Chenli, Jun Zhu, Tian Tian
2020 A* conf
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference.
ICML
Michael Zhu, Chang Liu, Jun Zhu
2020 J jnl
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models.
CoRR
Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang
2019 J jnl
A Simple yet Effective Baseline for Robust Deep Learning with Noisy Labels.
CoRR
Yucen Luo, Jun Zhu, Tomas Pfister
2019 J jnl
Adversarial Variational Inference and Learning in Markov Random Fields.
CoRR
Chongxuan Li, Chao Du, Kun Xu, Max Welling, Jun Zhu, Bo Zhang
2019 J jnl
Batch Virtual Adversarial Training for Graph Convolutional Networks.
CoRR
Zhijie Deng, Yinpeng Dong, Jun Zhu
2019 J jnl
Benchmarking Adversarial Robustness.
CoRR
Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, Jun Zhu
2019 J jnl
Boosting Generative Models by Leveraging Cascaded Meta-Models.
CoRR
Fan Bao, Hang Su, Jun Zhu
2019 A* conf
Cluster Alignment With a Teacher for Unsupervised Domain Adaptation.
ICCV
Zhijie Deng, Yucen Luo, Jun Zhu
2019 J jnl
Cluster Alignment with a Teacher for Unsupervised Domain Adaptation.
CoRR
Zhijie Deng, Yucen Luo, Jun Zhu
2019 A* conf
Combo-Action: Training Agent For FPS Game with Auxiliary Tasks.
AAAI
Shiyu Huang, Hang Su, Jun Zhu, Ting Chen
2019 A* conf
Composite Binary Decomposition Networks.
AAAI
You Qiaoben, Zheng Wang, Jianguo Li, Yinpeng Dong, Yu-Gang Jiang, Jun Zhu
2019 J jnl
DBSN: Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structures.
CoRR
Zhijie Deng, Yucen Luo, Jun Zhu, Bo Zhang
2019 J jnl
DS
CoRR
Tsung Wei Tsai, Chongxuan Li, Jun Zhu
2019 J jnl
DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking.
CoRR
Zheyu Yang, Yujie Wu, Guanrui Wang, Yukuan Yang, Guoqi Li, Lei Deng, Jun Zhu, Luping Shi
2019 J jnl
Design and Interpretation of Universal Adversarial Patches in Face Detection.
CoRR
Xiao Yang, Fangyun Wei, Hongyang Zhang, Xiang Ming, Jun Zhu
2019 A* conf
Direct Training for Spiking Neural Networks: Faster, Larger, Better.
AAAI
Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, Luping Shi
2019 A* conf
Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition.
CVPR
Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu
2019 J jnl
Efficient Decision-based Black-box Adversarial Attacks on Face Recognition.
CoRR
Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu
2019 A* conf
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks.
CVPR
Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
2019 J jnl
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks.
CoRR
Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
2019 — conf
Explainable AI: A Brief Survey on History, Research Areas, Approaches and Challenges.
NLPCC (2)
Feiyu Xu, Hans Uszkoreit, Yangzhou Du, Wei Fan, Dongyan Zhao, Jun Zhu
2019 — conf
Function Space Particle Optimization for Bayesian Neural Networks.
ICLR (Poster)
Ziyu Wang, Tongzheng Ren, Jun Zhu, Bo Zhang
2019 J jnl
Function Space Particle Optimization for Bayesian Neural Networks.
CoRR
Ziyu Wang, Tongzheng Ren, Jun Zhu, Bo Zhang
2019 A* conf
Improving Adversarial Robustness via Promoting Ensemble Diversity.
ICML
Tianyu Pang, Kun Xu, Chao Du, Ning Chen, Jun Zhu
2019 J jnl
Improving Adversarial Robustness via Promoting Ensemble Diversity.
CoRR
Tianyu Pang, Kun Xu, Chao Du, Ning Chen, Jun Zhu
2019 A* conf
Improving Black-box Adversarial Attacks with a Transfer-based Prior.
NeurIPS
Shuyu Cheng, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
2019 J jnl
Improving Black-box Adversarial Attacks with a Transfer-based Prior.
CoRR
Shuyu Cheng, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
2019 A conf
Learn a Robust Policy in Adversarial Games via Playing with an Expert Opponent.
AAMAS
Jialian Li, Tongzheng Ren, Hang Su, Jun Zhu
2019 J jnl
Max-Margin Majority Voting for Learning from Crowds.
IEEE Trans. Pattern Anal. Mach. Intell.
Tian Tian, Jun Zhu, You Qiaoben
2019 J jnl
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks.
CoRR
Tianyu Pang, Kun Xu, Jun Zhu
2019 A* conf
Multi-objects Generation with Amortized Structural Regularization.
NeurIPS
Taufik Xu, Chongxuan Li, Jun Zhu, Bo Zhang
2019 J jnl
Multi-objects Generation with Amortized Structural Regularization.
CoRR
Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang
2019 A* conf
Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning.
IJCAI
Shihong Song, Jiayi Weng, Hang Su, Dong Yan, Haosheng Zou, Jun Zhu
2019 J jnl
Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness.
CoRR
Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu
2019 J jnl
Reward Shaping via Meta-Learning.
CoRR
Haosheng Zou, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu
2019 A* conf
Scalable Training of Inference Networks for Gaussian-Process Models.
ICML
Jiaxin Shi, Mohammad Emtiyaz Khan, Jun Zhu
2019 J jnl
Scalable Training of Inference Networks for Gaussian-Process Models.
CoRR
Jiaxin Shi, Mohammad Emtiyaz Khan, Jun Zhu
2019 A* conf
Sparse Adversarial Perturbations for Videos.
AAAI
Xingxing Wei, Jun Zhu, Sha Yuan, Hang Su
2019 J jnl
Stochastic Quantization for Learning Accurate Low-Bit Deep Neural Networks.
Int. J. Comput. Vis.
Yinpeng Dong, Renkun Ni, Jianguo Li, Yurong Chen, Hang Su, Jun Zhu
2019 J jnl
Stochastic gradient Hamiltonian Monte Carlo with variance reduction for Bayesian inference.
Mach. Learn.
Zhize Li, Tianyi Zhang, Shuyu Cheng, Jun Zhu, Jian Li
2019 J jnl
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples.
CoRR
Yinpeng Dong, Fan Bao, Hang Su, Jun Zhu
2019 J jnl
Towards controllable image descriptions with semi-supervised VAE.
J. Vis. Commun. Image Represent.
Nikolai Zakharov, Hang Su, Jun Zhu, Jan Gläscher
2019 J jnl
Triple Generative Adversarial Networks.
CoRR
Chongxuan Li, Kun Xu, Jiashuo Liu, Jun Zhu, Bo Zhang
2019 A* conf
Understanding MCMC Dynamics as Flows on the Wasserstein Space.
ICML
Chang Liu, Jingwei Zhuo, Jun Zhu
2019 J jnl
Understanding MCMC Dynamics as Flows on the Wasserstein Space.
CoRR
Chang Liu, Jingwei Zhuo, Jun Zhu
2019 A* conf
Understanding and Accelerating Particle-Based Variational Inference.
ICML
Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu
2019 J jnl
Understanding and Stabilizing GANs' Training Dynamics with Control Theory.
CoRR
Kun Xu, Chongxuan Li, Huanshu Wei, Jun Zhu, Bo Zhang
2018 A* conf
A Spectral Approach to Gradient Estimation for Implicit Distributions.
ICML
Jiaxin Shi, Shengyang Sun, Jun Zhu
2018 J jnl
A Spectral Approach to Gradient Estimation for Implicit Distributions.
CoRR
Jiaxin Shi, Shengyang Sun, Jun Zhu
2018 J jnl
Accelerated First-order Methods on the Wasserstein Space for Bayesian Inference.
CoRR
Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu, Lawrence Carin
2018 A* conf
Adversarial Attack on Graph Structured Data.
ICML
Hanjun Dai, Hui Li, Tian Tian, Xin Huang, Lin Wang, Jun Zhu, Le Song
2018 J jnl
Adversarial Attack on Graph Structured Data.
CoRR
Hanjun Dai, Hui Li, Tian Tian, Xin Huang, Lin Wang, Jun Zhu, Le Song
2018 J jnl
Adversarial Attacks and Defences Competition.
CoRR
Alexey Kurakin, Ian J. Goodfellow, Samy Bengio, Yinpeng Dong, Fangzhou Liao, Ming Liang, Tianyu Pang, Jun Zhu, Xiaolin Hu, Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan L. Yuille, Sangxia Huang, Yao Zhao, Yuzhe Zhao, Zhonglin Han, Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, Motoki Abe
2018 — conf
Analyzing the Noise Robustness of Deep Neural Networks.
VAST
Mengchen Liu, Shixia Liu, Hang Su, Kelei Cao, Jun Zhu
2018 J jnl
Analyzing the Noise Robustness of Deep Neural Networks.
CoRR
Mengchen Liu, Shixia Liu, Hang Su, Kelei Cao, Jun Zhu
2018 J jnl
Analyzing the Training Processes of Deep Generative Models.
IEEE Trans. Vis. Comput. Graph.
Mengchen Liu, Jiaxin Shi, Kelei Cao, Jun Zhu, Shixia Liu
2018 A* conf
Boosting Adversarial Attacks With Momentum.
CVPR
Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, Jianguo Li
2018 A* conf
Collaborative Filtering With User-Item Co-Autoregressive Models.
AAAI
Chao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Bo Zhang
2018 J jnl
Composite Binary Decomposition Networks.
CoRR
You Qiaoben, Zheng Wang, Jianguo Li, Yinpeng Dong, Yu-Gang Jiang, Jun Zhu
2018 J jnl
Deep Structured Generative Models.
CoRR
Kun Xu, Haoyu Liang, Jun Zhu, Hang Su, Bo Zhang
2018 A* conf
Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser.
CVPR
Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Xiaolin Hu, Jun Zhu
2018 J jnl
Direct Training for Spiking Neural Networks: Faster, Larger, Better.
CoRR
Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Luping Shi
2018 J jnl
Dropout training for SVMs with data augmentation.
Frontiers Comput. Sci.
Ning Chen, Jun Zhu, Jianfei Chen, Ting Chen
2018 A conf
Essay-Anchor Attentive Multi-Modal Bilinear Pooling for Textbook Question Answering.
ICME
Juzheng Li, Hang Su, Jun Zhu, Bo Zhang
2018 A* conf
Graphical Generative Adversarial Networks.
NeurIPS
Chongxuan Li, Max Welling, Jun Zhu, Bo Zhang
2018 J jnl
Graphical Generative Adversarial Networks.
CoRR
Chongxuan Li, Max Welling, Jun Zhu, Bo Zhang
2018 — conf
Kernel Implicit Variational Inference.
ICLR (Poster)
Jiaxin Shi, Shengyang Sun, Jun Zhu
2018 J jnl
Lazy-CFR: a fast regret minimization algorithm for extensive games with imperfect information.
CoRR
Yichi Zhou, Tongzheng Ren, Jialian Li, Dong Yan, Jun Zhu
2018 J jnl
Learning Deep Generative Models With Doubly Stochastic Gradient MCMC.
IEEE Trans. Neural Networks Learn. Syst.
Chao Du, Jun Zhu, Bo Zhang
2018 J jnl
Learning Implicit Generative Models by Teaching Explicit Ones.
CoRR
Chao Du, Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang
2018 A* conf
Learning to Write Stylized Chinese Characters by Reading a Handful of Examples.
IJCAI
Danyang Sun, Tongzheng Ren, Chongxuan Li, Hang Su, Jun Zhu
2018 A* conf
Max-Mahalanobis Linear Discriminant Analysis Networks.
ICML
Tianyu Pang, Chao Du, Jun Zhu
2018 J jnl
Max-Mahalanobis Linear Discriminant Analysis Networks.
CoRR
Tianyu Pang, Chao Du, Jun Zhu
2018 J jnl
Max-Margin Deep Generative Models for (Semi-)Supervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Chongxuan Li, Jun Zhu, Bo Zhang
2018 A* conf
Message Passing Stein Variational Gradient Descent.
ICML
Jingwei Zhuo, Chang Liu, Jiaxin Shi, Jun Zhu, Ning Chen, Bo Zhang
2018 — conf
Neural Network Meets DCN: Traffic-driven Topology Adaptation with Deep Learning.
SIGMETRICS (Abstracts)
Mowei Wang, Yong Cui, Shihan Xiao, Xin Wang, Dan Yang, Kai Chen, Jun Zhu
2018 J jnl
Neural Network Meets DCN: Traffic-driven Topology Adaptation with Deep Learning.
Proc. ACM Meas. Anal. Comput. Syst.
Mowei Wang, Yong Cui, Shihan Xiao, Xin Wang, Dan Yang, Kai Chen, Jun Zhu
2018 A* conf
Probabilistic Machine Learning: Models, Algorithms and a Programming Library.
IJCAI
Jun Zhu
2018 C ed.
Proceedings of The 10th Asian Conference on Machine Learning, ACML 2018, Beijing, China, November 14-16, 2018.
ACML
Jun Zhu, Ichiro Takeuchi
2018 A* conf
Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors.
ICML
Yichi Zhou, Jun Zhu, Jingwei Zhuo
2018 A* conf
Riemannian Stein Variational Gradient Descent for Bayesian Inference.
AAAI
Chang Liu, Jun Zhu
2018 J jnl
Scalable Training of Hierarchical Topic Models.
Proc. VLDB Endow.
Jianfei Chen, Jun Zhu, Jie Lu, Shixia Liu
2018 A* conf
Selective Verification Strategy for Learning From Crowds.
AAAI
Tian Tian, Yichi Zhou, Jun Zhu
2018 A* conf
Semi-crowdsourced Clustering with Deep Generative Models.
NeurIPS
Yucen Luo, Tian Tian, Jiaxin Shi, Jun Zhu, Bo Zhang
2018 J jnl
Semi-crowdsourced Clustering with Deep Generative Models.
CoRR
Yucen Luo, Tian Tian, Jiaxin Shi, Jun Zhu, Bo Zhang
2018 A* conf
Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning.
CVPR
Yucen Luo, Jun Zhu, Mengxi Li, Yong Ren, Bo Zhang
2018 J jnl
Sparse Adversarial Perturbations for Videos.
CoRR
Xingxing Wei, Jun Zhu, Hang Su
2018 J jnl
Spectral Learning for Supervised Topic Models.
IEEE Trans. Pattern Anal. Mach. Intell.
Yong Ren, Yining Wang, Jun Zhu
2018 A* conf
Stochastic Expectation Maximization with Variance Reduction.
NeurIPS
Jianfei Chen, Jun Zhu, Yee Whye Teh, Tong Zhang
2018 A* conf
Stochastic Training of Graph Convolutional Networks with Variance Reduction.
ICML
Jianfei Chen, Jun Zhu, Le Song
2018 A* conf
Textbook Question Answering Under Instructor Guidance With Memory Networks.
CVPR
Juzheng Li, Hang Su, Jun Zhu, Siyu Wang, Bo Zhang
2018 A* conf
Towards Robust Detection of Adversarial Examples.
NeurIPS
Tianyu Pang, Chao Du, Yinpeng Dong, Jun Zhu
2018 A* conf
Towards Training Probabilistic Topic Models on Neuromorphic Multi-Chip Systems.
AAAI
Zihao Xiao, Jianfei Chen, Jun Zhu
2018 J jnl
Towards Training Probabilistic Topic Models on Neuromorphic Multi-chip Systems.
CoRR
Zihao Xiao, Jianfei Chen, Jun Zhu
2018 J jnl
Transferable Adversarial Attacks for Image and Video Object Detection.
CoRR
Xingxing Wei, Siyuan Liang, Xiaochun Cao, Jun Zhu
2018 A* conf
Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process.
AAAI
Haosheng Zou, Hang Su, Shihong Song, Jun Zhu
2018 J jnl
Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process.
CoRR
Haosheng Zou, Hang Su, Shihong Song, Jun Zhu
2018 A* conf
Video-to-Video Translation with Global Temporal Consistency.
ACM Multimedia
Xingxing Wei, Jun Zhu, Sitong Feng, Hang Su
2018 J jnl
Visual Diagnosis of Tree Boosting Methods.
IEEE Trans. Vis. Comput. Graph.
Shixia Liu, Jiannan Xiao, Junlin Liu, Xiting Wang, Jing Wu, Jun Zhu
2017 J jnl
A Hierarchical Recurrent Neural Network for Symbolic Melody Generation.
CoRR
Jian Wu, Changran Hu, Yulong Wang, Xiaolin Hu, Jun Zhu
2017 J jnl
Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser.
CoRR
Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Jun Zhu, Xiaolin Hu
2017 A conf
Detecting Semantic Parts on Partially Occluded Objects.
BMVC
Jianyu Wang, Zhishuai Zhang, Cihang Xie, Jun Zhu, Lingxi Xie, Alan L. Yuille
2017 J jnl
Detecting Semantic Parts on Partially Occluded Objects.
CoRR
Jianyu Wang, Cihang Xie, Zhishuai Zhang, Jun Zhu, Lingxi Xie, Alan L. Yuille
2017 J jnl
Discovering Adversarial Examples with Momentum.
CoRR
Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Xiaolin Hu, Jun Zhu
2017 A* conf
Distributed Accelerated Proximal Coordinate Gradient Methods.
IJCAI
Yong Ren, Jun Zhu
2017 J jnl
Diversity-Promoting Bayesian Learning of Latent Variable Models.
CoRR
Pengtao Xie, Jun Zhu, Eric P. Xing
2017 J jnl
Fast sampling methods for Bayesian max-margin models.
Expert Syst. Appl.
Wenbo Hu, Jun Zhu, Bo Zhang
2017 A* conf
Forecast the Plausible Paths in Crowd Scenes.
IJCAI
Hang Su, Jun Zhu, Yinpeng Dong, Bo Zhang
2017 A* conf
Identify the Nash Equilibrium in Static Games with Random Payoffs.
ICML
Yichi Zhou, Jialian Li, Jun Zhu
2017 J jnl
Implicit Variational Inference with Kernel Density Ratio Fitting.
CoRR
Jiaxin Shi, Shengyang Sun, Jun Zhu
2017 A* conf
Improving Interpretability of Deep Neural Networks with Semantic Information.
CVPR
Yinpeng Dong, Hang Su, Jun Zhu, Bo Zhang
2017 J jnl
Improving Interpretability of Deep Neural Networks with Semantic Information.
CoRR
Yinpeng Dong, Hang Su, Jun Zhu, Bo Zhang
2017 A* conf
Improving Learning-from-Crowds through Expert Validation.
IJCAI
Mengchen Liu, Liu Jiang, Junlin Liu, Xiting Wang, Jun Zhu, Shixia Liu
2017 J jnl
Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization.
CoRR
Yinpeng Dong, Renkun Ni, Jianguo Li, Yurong Chen, Jun Zhu, Hang Su
2017 A* conf
Learning Attributes from the Crowdsourced Relative Labels.
AAAI
Tian Tian, Ning Chen, Jun Zhu
2017 J jnl
Learning Random Fourier Features by Hybrid Constrained Optimization.
CoRR
Jianqiao Wangni, Jingwei Zhuo, Jun Zhu
2017 J jnl
Learning to Write Stylized Chinese Characters by Reading a Handful of Examples.
CoRR
Danyang Sun, Tongzheng Ren, Chongxuan Li, Jun Zhu, Hang Su
2017 J jnl
Online Bayesian Passive-Aggressive Learning.
J. Mach. Learn. Res.
Tianlin Shi, Jun Zhu
2017 J jnl
PSDVec: A toolbox for incremental and scalable word embedding.
Neurocomputing
Shaohua Li, Jun Zhu, Chunyan Miao
2017 — conf
Population Matching Discrepancy and Applications in Deep Learning.
NIPS
Jianfei Chen, Chongxuan Li, Yizhong Ru, Jun Zhu
2017 J jnl
Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors.
CoRR
Yichi Zhou, Jun Zhu, Jingwei Zhuo
2017 J jnl
Robust Deep Learning via Reverse Cross-Entropy Training and Thresholding Test.
CoRR
Tianyu Pang, Chao Du, Jun Zhu
2017 J jnl
SAM: Semantic Attribute Modulated Language Modeling.
CoRR
Wenbo Hu, Lifeng Hua, Lei Li, Tian Wang, Jun Zhu, Hang Su, Bo Zhang
2017 A* conf
SaberLDA: Sparsity-Aware Learning of Topic Models on GPUs.
ASPLOS
Kaiwei Li, Jianfei Chen, Wenguang Chen, Jun Zhu
2017 J jnl
Scalable Inference for Nested Chinese Restaurant Process Topic Models.
CoRR
Jianfei Chen, Jun Zhu, Jie Lu, Shixia Liu
2017 A* conf
Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization.
IJCAI
Wenbo Hu, Jun Zhu, Hang Su, Jingwei Zhuo, Bo Zhang
2017 J jnl
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning.
CoRR
Yucen Luo, Jun Zhu, Mengxi Li, Yong Ren, Bo Zhang
2017 J jnl
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks.
CoRR
Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Luping Shi
2017 J jnl
Special Issue on Biomedical Big Data: Understanding, Learning and Applications.
IEEE Trans. Big Data
Jun Zhu, An-An Liu, Mei Chen, Tolga Tasdizen, Hang Su
2017 J jnl
Stochastic Training of Graph Convolutional Networks.
CoRR
Jianfei Chen, Jun Zhu
2017 — conf
Structured Generative Adversarial Networks.
NIPS
Zhijie Deng, Hao Zhang, Xiaodan Liang, Luona Yang, Shizhen Xu, Jun Zhu, Eric P. Xing
2017 J jnl
Structured Generative Adversarial Networks.
CoRR
Zhijie Deng, Hao Zhang, Xiaodan Liang, Luona Yang, Shizhen Xu, Jun Zhu, Eric P. Xing
2017 J jnl
Towards Better Analysis of Deep Convolutional Neural Networks.
IEEE Trans. Vis. Comput. Graph.
Mengchen Liu, Jiaxin Shi, Zhen Li, Chongxuan Li, Jun Zhu, Shixia Liu
2017 J jnl
Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective.
CoRR
Shixia Liu, Xiting Wang, Mengchen Liu, Jun Zhu
2017 J jnl
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples.
CoRR
Yinpeng Dong, Hang Su, Jun Zhu, Fan Bao
2017 J jnl
Towards better analysis of machine learning models: A visual analytics perspective.
Vis. Informatics
Shixia Liu, Xiting Wang, Mengchen Liu, Jun Zhu
2017 — conf
Triple Generative Adversarial Nets.
NIPS
Chongxuan Li, Taufik Xu, Jun Zhu, Bo Zhang
2017 J jnl
Triple Generative Adversarial Nets.
CoRR
Chongxuan Li, Kun Xu, Jun Zhu, Bo Zhang
2017 J jnl
Visual Concepts and Compositional Voting.
CoRR
Jianyu Wang, Zhishuai Zhang, Cihang Xie, Yuyin Zhou, Vittal Premachandran, Jun Zhu, Lingxi Xie, Alan L. Yuille
2017 J jnl
ZhuSuan: A Library for Bayesian Deep Learning.
CoRR
Jiaxin Shi, Jianfei Chen, Jun Zhu, Shengyang Sun, Yucen Luo, Yihong Gu, Yuhao Zhou
2016 J jnl
A Communication-Efficient Parallel Method for Group-Lasso.
CoRR
Binghong Chen, Jun Zhu
2016 A* conf
Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization.
AAAI
Yang Song, Jun Zhu
2016 J jnl
BitHash: An efficient bitwise Locality Sensitive Hashing method with applications.
Knowl. Based Syst.
Wenhao Zhang, Jianqiu Ji, Jun Zhu, Jianmin Li, Hua Xu, Bo Zhang
2016 J jnl
Collaborative Filtering with User-Item Co-Autoregressive Models.
CoRR
Chao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Cailiang Liu, Hanning Zhou, Bo Zhang
2016 — conf
Conditional Generative Moment-Matching Networks.
NIPS
Yong Ren, Jun Zhu, Jialian Li, Yucen Luo
2016 J jnl
Conditional Generative Moment-Matching Networks.
CoRR
Yong Ren, Jialian Li, Yucen Luo, Jun Zhu
2016 A* conf
Crowd Scene Understanding with Coherent Recurrent Neural Networks.
IJCAI
Hang Su, Yinpeng Dong, Jun Zhu, Haibin Ling, Bo Zhang
2016 — conf
Discriminative Deep Random Walk for Network Classification.
ACL (1)
Juzheng Li, Jun Zhu, Bo Zhang
2016 A* conf
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation.
AAAI
Bei Chen, Ning Chen, Jun Zhu, Jiaming Song, Bo Zhang
2016 A* conf
Distributing the Stochastic Gradient Sampler for Large-Scale LDA.
KDD
Yuan Yang, Jianfei Chen, Jun Zhu
2016 A* conf
Diversity-Promoting Bayesian Learning of Latent Variable Models.
ICML
Pengtao Xie, Jun Zhu, Eric P. Xing
2016 — conf
Efficient and Robust Semi-supervised Learning Over a Sparse-Regularized Graph.
ECCV (8)
Hang Su, Jun Zhu, Zhaozheng Yin, Yinpeng Dong, Bo Zhang
2016 J jnl
Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs).
CoRR
Shaohua Li, Tat-Seng Chua, Jun Zhu, Chunyan Miao
2016 — conf
Generative Topic Embedding: a Continuous Representation of Documents.
ACL (1)
Shaohua Li, Tat-Seng Chua, Jun Zhu, Chunyan Miao
2016 J jnl
Interactive Cell Segmentation Based on Active and Semi-Supervised Learning.
IEEE Trans. Medical Imaging
Hang Su, Zhaozheng Yin, Seungil Huh, Takeo Kanade, Jun Zhu
2016 A* conf
Jointly Modeling Topics and Intents with Global Order Structure.
AAAI
Bei Chen, Jun Zhu, Nan Yang, Tian Tian, Ming Zhou, Bo Zhang
2016 — conf
Kernel Bayesian Inference with Posterior Regularization.
NIPS
Yang Song, Jun Zhu, Yong Ren
2016 A* conf
Learning to Generate with Memory.
ICML
Chongxuan Li, Jun Zhu, Bo Zhang
2016 J jnl
Learning to Generate with Memory.
CoRR
Chongxuan Li, Jun Zhu, Bo Zhang
2016 J jnl
Max-Margin Deep Generative Models for (Semi-)Supervised Learning.
CoRR
Chongxuan Li, Jun Zhu, Bo Zhang
2016 J jnl
Max-Margin Nonparametric Latent Feature Models for Link Prediction.
CoRR
Jun Zhu, Jiaming Song, Bei Chen
2016 — conf
Neuron Segmentation Based on CNN with Semi-Supervised Regularization.
CVPR Workshops
Kun Xu, Hang Su, Jun Zhu, Ji-Song Guan, Bo Zhang
2016 J jnl
PSDVec: a Toolbox for Incremental and Scalable Word Embedding.
CoRR
Shaohua Li, Jun Zhu, Chunyan Miao
2016 A* conf
Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features.
AAAI
Fangting Xia, Jun Zhu, Peng Wang, Alan L. Yuille
2016 J jnl
SaberLDA: Sparsity-Aware Learning of Topic Models on GPUs.
CoRR
Kaiwei Li, Jianfei Chen, Wenguang Chen, Jun Zhu
2016 A* conf
Scaling up Dynamic Topic Models.
WWW
Arnab Bhadury, Jianfei Chen, Jun Zhu, Shixia Liu
2016 J jnl
SeDMiD for Confusion Detection: Uncovering Mind State from Time Series Brain Wave Data.
CoRR
Jingkang Yang, Haohan Wang, Jun Zhu, Eric P. Xing
2016 — conf
Segment-Level Sequence Modeling using Gated Recursive Semi-Markov Conditional Random Fields.
ACL (1)
Jingwei Zhuo, Yong Cao, Jun Zhu, Bo Zhang, Zaiqing Nie
2016 J jnl
Spectral Learning for Supervised Topic Models.
CoRR
Yong Ren, Yining Wang, Jun Zhu
2016 — conf
Stochastic Gradient Geodesic MCMC Methods.
NIPS
Chang Liu, Jun Zhu, Yang Song
2016 J jnl
Streaming Gibbs Sampling for LDA Model.
CoRR
Yang Gao, Jianfei Chen, Jun Zhu
2016 J jnl
TopicPanorama: A Full Picture of Relevant Topics.
IEEE Trans. Vis. Comput. Graph.
Xiting Wang, Shixia Liu, Junlin Liu, Jianfei Chen, Jun Zhu, Baining Guo
2016 J jnl
Towards Better Analysis of Deep Convolutional Neural Networks.
CoRR
Mengchen Liu, Jiaxin Shi, Zhen Li, Chongxuan Li, Jun Zhu, Shixia Liu
2016 J jnl
WarpLDA: a Cache Efficient O(1) Algorithm for Latent Dirichlet Allocation.
Proc. VLDB Endow.
Jianfei Chen, Kaiwei Li, Jun Zhu, Wenguang Chen
2015 A* conf
A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution.
EMNLP
Shaohua Li, Jun Zhu, Chunyan Miao
2015 J jnl
A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution.
CoRR
Shaohua Li, Jun Zhu, Chunyan Miao
2015 A* conf
Adaptive Dropout Rates for Learning with Corrupted Features.
IJCAI
Jingwei Zhuo, Jun Zhu, Bo Zhang
2015 J jnl
Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization.
CoRR
Yang Song, Jun Zhu
2015 J jnl
Bounded-Distortion Metric Learning.
CoRR
Renjie Liao, Jianping Shi, Ziyang Ma, Jun Zhu, Jiaya Jia
2015 — conf
Building Memory with Concept Learning Capabilities from Large-Scale Knowledge Bases.
CoCo@NIPS
Jiaxin Shi, Jun Zhu
2015 J jnl
Building Memory with Concept Learning Capabilities from Large-scale Knowledge Base.
CoRR
Jiaxin Shi, Jun Zhu
2015 A* conf
Crowd Fraud Detection in Internet Advertising.
WWW
Tian Tian, Jun Zhu, Fen Xia, Xin Zhuang, Tong Zhang
2015 A* conf
DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics.
ICML
Yining Wang, Jun Zhu
2015 J jnl
DeePM: A Deep Part-Based Model for Object Detection and Semantic Part Localization.
CoRR
Jun Zhu, Xianjie Chen, Alan L. Yuille
2015 J jnl
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation.
CoRR
Bei Chen, Ning Chen, Jun Zhu, Jiaming Song, Bo Zhang
2015 J jnl
Discriminative Relational Topic Models.
IEEE Trans. Pattern Anal. Mach. Intell.
Ning Chen, Jun Zhu, Fei Xia, Bo Zhang
2015 J jnl
Dropout Training for SVMs with Data Augmentation.
CoRR
Ning Chen, Jun Zhu, Jianfei Chen, Ting Chen
2015 J jnl
Fast Parallel SVM using Data Augmentation.
CoRR
Hugh Perkins, Minjie Xu, Jun Zhu, Bo Zhang
2015 J jnl
Jointly Modeling Topics and Intents with Global Order Structure.
CoRR
Bei Chen, Jun Zhu, Nan Yang, Tian Tian, Ming Zhou, Bo Zhang
2015 — conf
Large Scale Sentiment Analysis with Locality Sensitive BitHash.
AIRS
Wenhao Zhang, Jianqiu Ji, Jun Zhu, Hua Xu, Bo Zhang
2015 J jnl
Learning Deep Generative Models with Doubly Stochastic MCMC.
CoRR
Chao Du, Jun Zhu, Bo Zhang
2015 — conf
Max-Margin Deep Generative Models.
NIPS
Chongxuan Li, Jun Zhu, Tianlin Shi, Bo Zhang
2015 — conf
Max-Margin Majority Voting for Learning from Crowds.
NIPS
Tian Tian, Jun Zhu
2015 J jnl
Max-margin Deep Generative Models.
CoRR
Chongxuan Li, Jun Zhu, Tianlin Shi, Bo Zhang
2015 A* conf
Modelling High-Dimensional Sequences with LSTM-RTRBM: Application to Polyphonic Music Generation.
IJCAI
Qi Lyu, Zhiyong Wu, Jun Zhu, Helen Meng
2015 A* conf
Polyphonic Music Modelling with LSTM-RTRBM.
ACM Multimedia
Qi Lyu, Zhiyong Wu, Jun Zhu
2015 J jnl
Pose-Guided Human Parsing with Deep Learned Features.
CoRR
Fangting Xia, Jun Zhu, Peng Wang, Alan L. Yuille
2015 J jnl
Stochastic Subgradient MCMC Methods.
CoRR
Wenbo Hu, Jun Zhu, Bo Zhang
2015 — conf
Uncovering the Latent Structures of Crowd Labeling.
PAKDD (1)
Tian Tian, Jun Zhu
2015 J jnl
WarpLDA: a Simple and Efficient O(1) Algorithm for Latent Dirichlet Allocation.
CoRR
Jianfei Chen, Kaiwei Li, Jun Zhu, Wenguang Chen
2014 — conf
An Active Patch Model for Real World Texture and Appearance Classification.
ECCV (3)
Junhua Mao, Jun Zhu, Alan L. Yuille
2014 A* conf
Bayesian Max-margin Multi-Task Learning with Data Augmentation.
ICML
Chengtao Li, Jun Zhu, Jianfei Chen
2014 J jnl
Bayesian inference with posterior regularization and applications to infinite latent SVMs.
J. Mach. Learn. Res.
Jun Zhu, Ning Chen, Eric P. Xing
2014 J jnl
Big Learning with Bayesian Methods.
CoRR
Jun Zhu, Jianfei Chen, Wenbo Hu
2014 J jnl
Contrastive Feature Induction for Efficient Structure Learning of Conditional Random Fields.
CoRR
Ni Lao, Jun Zhu
2014 — ch.
Discriminative Training of Mixed Membership Models.
Handbook of Mixed Membership Models and Their Applications
Jun Zhu, Eric P. Xing
2014 — conf
Distributed Bayesian Posterior Sampling via Moment Sharing.
NIPS
Minjie Xu, Balaji Lakshminarayanan, Yee Whye Teh, Jun Zhu, Bo Zhang
2014 A* conf
Dropout Training for Support Vector Machines.
AAAI
Ning Chen, Jun Zhu, Jianfei Chen, Bo Zhang
2014 J jnl
Dropout Training for Support Vector Machines.
CoRR
Ning Chen, Jun Zhu, Jianfei Chen, Bo Zhang
2014 J jnl
Gibbs max-margin topic models with data augmentation.
J. Mach. Learn. Res.
Jun Zhu, Ning Chen, Hugh Perkins, Bo Zhang
2014 — conf
Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm.
NIPS
Jun Zhu, Junhua Mao, Alan L. Yuille
2014 J jnl
Learning Harmonium Models With Infinite Latent Features.
IEEE Trans. Neural Networks Learn. Syst.
Ning Chen, Jun Zhu, Fuchun Sun, Bo Zhang
2014 A* conf
Max-Margin Infinite Hidden Markov Models.
ICML
Aonan Zhang, Jun Zhu, Bo Zhang
2014 B conf
Max-margin latent feature relational models for entity-attribute networks.
IJCNN
Fei Xia, Ning Chen, Jun Zhu, Aonan Zhang, Xiaoming Jin
2014 A conf
Nonparametric bayesian upstream supervised multi-modal topic models.
WSDM
Renjie Liao, Jun Zhu, Zengchang Qin
2014 A* conf
Online Bayesian Passive-Aggressive Learning.
ICML
Tianlin Shi, Jun Zhu
2014 — conf
Robust Bayesian Max-Margin Clustering.
NIPS
Changyou Chen, Jun Zhu, Xinhua Zhang
2014 A* conf
Robust RegBayes: Selectively Incorporating First-Order Logic Domain Knowledge into Bayesian Models.
ICML
Shike Mei, Jun Zhu, Jerry Zhu
2014 A* conf
Small-Variance Asymptotics for Dirichlet Process Mixtures of SVMs.
AAAI
Yining Wang, Jun Zhu
2014 — conf
Spectral Methods for Supervised Topic Models.
NIPS
Yining Wang, Jun Zhu
2013 J jnl
Discriminative Relational Topic Models.
CoRR
Ning Chen, Jun Zhu, Fei Xia, Bo Zhang
2013 — conf
Discriminative infinite latent feature models.
ChinaSIP
Minjie Xu, Jun Zhu
2013 — conf
Fast Max-Margin Matrix Factorization with Data Augmentation.
ICML (3)
Minjie Xu, Jun Zhu, Bo Zhang
2013 A* conf
Generalized Relational Topic Models with Data Augmentation.
IJCAI
Ning Chen, Jun Zhu, Fei Xia, Bo Zhang
2013 — conf
Gibbs Max-Margin Topic Models with Fast Sampling Algorithms.
ICML (1)
Jun Zhu, Ning Chen, Hugh Perkins, Bo Zhang
2013 J jnl
Gibbs Max-margin Topic Models with Data Augmentation.
CoRR
Jun Zhu, Ning Chen, Hugh Perkins, Bo Zhang
2013 — conf
Improved Bayesian Logistic Supervised Topic Models with Data Augmentation.
ACL (1)
Jun Zhu, Xun Zheng, Bo Zhang
2013 J jnl
Improved Bayesian Logistic Supervised Topic Models with Data Augmentation.
CoRR
Jun Zhu, Xun Zheng, Bo Zhang
2013 J jnl
Learning a Contextual Multi-Thread Model for Movie/TV Scene Segmentation.
IEEE Trans. Multim.
Cailiang Liu, Dong Wang, Jun Zhu, Bo Zhang
2013 J jnl
Online Bayesian Passive-Aggressive Learning.
CoRR
Tianlin Shi, Jun Zhu
2013 — conf
Scalable Inference for Logistic-Normal Topic Models.
NIPS
Jianfei Chen, Jun Zhu, Zi Wang, Xun Zheng, Bo Zhang
2013 A* conf
Scalable inference in max-margin topic models.
KDD
Jun Zhu, Xun Zheng, Li Zhou, Bo Zhang
2013 — conf
Sparse Relational Topic Models for Document Networks.
ECML/PKDD (1)
Aonan Zhang, Jun Zhu, Bo Zhang
2013 A* conf
Sparse online topic models.
WWW
Aonan Zhang, Jun Zhu, Bo Zhang
2012 J jnl
Bayesian Inference with Posterior Regularization and Infinite Latent Support Vector Machines
CoRR
Jun Zhu, Ning Chen, Eric P. Xing
2012 J jnl
Dynamics of an ecological model with impulsive control strategy and distributed time delay.
Math. Comput. Simul.
Min Zhao, Xitao Wang, Hengguo Yu, Jun Zhu
2012 J jnl
Large-Margin Predictive Latent Subspace Learning for Multiview Data Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Ning Chen, Jun Zhu, Fuchun Sun, Eric P. Xing
2012 A* conf
Learning from crowds in the presence of schools of thought.
KDD
Yuandong Tian, Jun Zhu
2012 J jnl
Max-Margin Nonparametric Latent Feature Models for Link Prediction
CoRR
Jun Zhu
2012 A* conf
Max-Margin Nonparametric Latent Feature Models for Link Prediction.
ICML
Jun Zhu
2012 J jnl
MedLDA: maximum margin supervised topic models.
J. Mach. Learn. Res.
Jun Zhu, Amr Ahmed, Eric P. Xing
2012 — conf
Monte Carlo Methods for Maximum Margin Supervised Topic Models.
NIPS
Qixia Jiang, Jun Zhu, Maosong Sun, Eric P. Xing
2012 — conf
Multi-Level Structured Image Coding on High-Dimensional Image Representation.
ACCV (2)
Li-Jia Li, Jun Zhu, Hao Su, Eric P. Xing, Li Fei-Fei
2012 — conf
Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction.
NIPS
Minjie Xu, Jun Zhu, Bo Zhang
2012 J jnl
Sparse Topical Coding
CoRR
Jun Zhu, Eric P. Xing
2011 A* conf
Conditional topical coding: an efficient topic model conditioned on rich features.
KDD
Jun Zhu, Ni Lao, Ning Chen, Eric P. Xing
2011 — conf
Infinite Latent SVM for Classification and Multi-task Learning.
NIPS
Jun Zhu, Ning Chen, Eric P. Xing
2011 A* conf
Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines.
ICML
Jun Zhu, Ning Chen, Eric P. Xing
2011 A conf
Sparse Topical Coding.
UAI
Jun Zhu, Eric P. Xing
2010 — conf
Adaptive Multi-Task Lasso: with Application to eQTL Detection.
NIPS
Seunghak Lee, Jun Zhu, Eric P. Xing
2010 A* conf
Conditional Topic Random Fields.
ICML
Jun Zhu, Eric P. Xing
2010 — conf
Efficient Relational Learning with Hidden Variable Detection.
NIPS
Ni Lao, Jun Zhu, Xinwang Liu, Yandong Liu, William W. Cohen
2010 A* conf
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields.
KDD
Jun Zhu, Ni Lao, Eric P. Xing
2010 — conf
Large Margin Learning of Upstream Scene Understanding Models.
NIPS
Jun Zhu, Li-Jia Li, Li Fei-Fei, Eric P. Xing
2010 — conf
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach.
NIPS
Ning Chen, Jun Zhu, Eric P. Xing
2009 A* conf
Incorporating site-level knowledge to extract structured data from web forums.
WWW
Jiang-Ming Yang, Rui Cai, Yida Wang, Jun Zhu, Lei Zhang, Wei-Ying Ma
2009 J jnl
Maximum Entropy Discrimination Markov Networks.
J. Mach. Learn. Res.
Jun Zhu, Eric P. Xing
2009 A* conf
MedLDA: maximum margin supervised topic models for regression and classification.
ICML
Jun Zhu, Amr Ahmed, Eric P. Xing
2009 A* conf
On primal and dual sparsity of Markov networks.
ICML
Jun Zhu, Eric P. Xing
2009 A* conf
Primal sparse Max-margin Markov networks.
KDD
Jun Zhu, Eric P. Xing, Bo Zhang
2009 A* conf
StatSnowball: a statistical approach to extracting entity relationships.
WWW
Jun Zhu, Zaiqing Nie, Xiaojiang Liu, Bo Zhang, Ji-Rong Wen
2009 — ch.
Statistical Web Object Extraction.
Encyclopedia of Data Warehousing and Mining
Jun Zhu, Zaiqing Nie, Bo Zhang
2009 A* conf
User grouping behavior in online forums.
KDD
Xiaolin Shi, Jun Zhu, Rui Cai, Lei Zhang
2008 J jnl
Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction.
J. Mach. Learn. Res.
Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen
2008 A* conf
Laplace maximum margin Markov networks.
ICML
Jun Zhu, Eric P. Xing, Bo Zhang
2008 — conf
Partially Observed Maximum Entropy Discrimination Markov Networks.
NIPS
Jun Zhu, Eric P. Xing, Bo Zhang
2007 A* conf
Dynamic hierarchical Markov random fields and their application to web data extraction.
ICML
Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen
2007 A* conf
Webpage understanding: an integrated approach.
KDD
Jun Zhu, Bo Zhang, Zaiqing Nie, Ji-Rong Wen, Hsiao-Wuen Hon
2006 A* conf
Simultaneous record detection and attribute labeling in web data extraction.
KDD
Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang, Wei-Ying Ma
2005 A* conf
2D Conditional Random Fields for Web information extraction.
ICML
Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang, Wei-Ying Ma