| 2026 | AAAI | H-RDT: Human Manipulation Enhanced Bimanual Robotic Manipulation. | Hongzhe Bi, Lingxuan Wu, Tianwei Lin, Hengkai Tan, Zhizhong Su, Hang Su, Jun Zhu |
| 2026 | AAAI | Benchmarking Trustworthiness in Multimodal LLMs for Video Understanding. | Youze Wang, Zijun Chen, Ruoyu Chen, Shishen Gu, Wenbo Hu, Jiayang Liu, Yinpeng Dong, Hang Su, Jun Zhu, Meng Wang, Richang Hong |
| 2026 | ACL | ControlAudio: Tackling Text-Guided, Timing-Indicated and Intelligible Audio Generation via Progressive Diffusion Modeling. | Yuxuan Jiang, Zehua Chen, Zeqian Ju, Yusheng Dai, Weibei Dou, Jun Zhu |
| 2026 | ISCAS | SRNeRV: A Scale-wise Recursive Framework for Neural Video Representation. | Jia Wang, Jun Zhu, Xinfeng Zhang |
| 2025 | AAAI | Pruning Large Language Models with Semi-Structural Adaptive Sparse Training. | Weiyu Huang, Yuezhou Hu, Guohao Jian, Jun Zhu, Jianfei Chen |
| 2025 | AAAI | DUSTED: Dual-Attention Enhanced Spatial Transcriptomics Denoiser. | Jun Zhu, Yifu Li, Zhenchao Tang, Cheng Chang |
| 2025 | CHI | A Systematic Review and Meta-Analysis of Research on Goals for Behavior Change. | Jun Zhu, Sruzan Lolla, Meeshu Agnihotri, Sahar Asgari Tappeh, Lala Guluzade, Elena Agapie, Corina Sas |
| 2025 | CloudCom | Spatial Distribution and Transport Patterns of Surface Sediments in Adjacent Nearshore and Offshore Waters of Xiangshan, East China Sea. | Zhenzhou Yuan, Wufeng Cheng, Yiming Ma, Jun Zhu, Junchao Yuan, Kai Fang |
| 2025 | CVPR | Improving Accuracy and Calibration via Differentiated Deep Mutual Learning. | Han Liu, Peng Cui, Bingning Wang, Weipeng Chen, Yupeng Zhang, Jun Zhu, Xiaolin Hu |
| 2025 | ICASSP | Bridge-SR: Schrdinger Bridge for Efficient SR. | Chang Li, Zehua Chen, Fan Bao, Jun Zhu |
| 2025 | ICASSP | DiffGAP: A Lightweight Diffusion Module in Contrastive Space for Bridging Cross-Model Gap. | Shentong Mo, Zehua Chen, Fan Bao, Jun Zhu |
| 2025 | ICCV | MeshAnything V2: Artist-Created Mesh Generation with Adjacent Mesh Tokenization. | Yiwen Chen, Yikai Wang, Yihao Luo, Zhengyi Wang, Zilong Chen, Jun Zhu, Chi Zhang, Guosheng Lin |
| 2025 | ICCV | Dimensionx: Create Any 3D and 4D Scenes From a Single Image With Decoupled Video Diffusion. | Wenqiang Sun, Shuo Chen, Fangfu Liu, Zilong Chen, Yueqi Duan, Jun Zhu, Jun Zhang, Yikai Wang |
| 2025 | ICCV | DeepMesh: Auto-Regressive Artist-Mesh Creation with Reinforcement Learning. | Ruowen Zhao, Junliang Ye, Zhengyi Wang, Guangce Liu, Yiwen Chen, Yikai Wang, Jun Zhu |
| 2025 | ICLR | Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment. | Huayu Chen, Hang Su, Peize Sun, Jun Zhu |
| 2025 | ICLR | Robust Representation Consistency Model via Contrastive Denoising. | Jiachen Lei, Julius Berner, Jiongxiao Wang, Zhongzhu Chen, Chaowei Xiao, Zhongjie Ba, Kui Ren, Jun Zhu, Anima Anandkumar |
| 2025 | ICLR | On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent. | Bingrui Li, Wei Huang, Andi Han, Zhanpeng Zhou, Taiji Suzuki, Jun Zhu, Jianfei Chen |
| 2025 | ICLR | RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation. | Songming Liu, Lingxuan Wu, Bangguo Li, Hengkai Tan, Huayu Chen, Zhengyi Wang, Ke Xu, Hang Su, Jun Zhu |
| 2025 | ICLR | ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing. | Ziteng Wang, Jun Zhu, Jianfei Chen |
| 2025 | ICLR | PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance. | Haohan Weng, Yikai Wang, Tong Zhang, C. L. Philip Chen, Jun Zhu |
| 2025 | ICLR | SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration. | Jintao Zhang, Jia Wei, Pengle Zhang, Jun Zhu, Jianfei Chen |
| 2025 | ICLR | Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling. | Kaiwen Zheng, Yongxin Chen, Hanzi Mao, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang |
| 2025 | ICLR | Elucidating the Preconditioning in Consistency Distillation. | Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu |
| 2025 | ICLR | Diffusion Bridge Implicit Models. | Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu |
| 2025 | ICML | Visual Generation Without Guidance. | Huayu Chen, Kai Jiang, Kaiwen Zheng, Jianfei Chen, Hang Su, Jun Zhu |
| 2025 | ICML | Oscillation-Reduced MXFP4 Training for Vision Transformers. | Yuxiang Chen, Haocheng Xi, Jun Zhu, Jianfei Chen |
| 2025 | ICML | FrameBridge: Improving Image-to-Video Generation with Bridge Models. | Yuji Wang, Zehua Chen, Xiaoyu Chen, Yixiang Wei, Jun Zhu, Jianfei Chen |
| 2025 | ICML | SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization. | Jintao Zhang, Haofeng Huang, Pengle Zhang, Jia Wei, Jun Zhu, Jianfei Chen |
| 2025 | ICML | SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference. | Jintao Zhang, Chendong Xiang, Haofeng Huang, Jia Wei, Haocheng Xi, Jun Zhu, Jianfei Chen |
| 2025 | ICML | STAIR: Improving Safety Alignment with Introspective Reasoning. | Yichi Zhang, Siyuan Zhang, Yao Huang, Zeyu Xia, Zhengwei Fang, Xiao Yang, Ranjie Duan, Dong Yan, Yinpeng Dong, Jun Zhu |
| 2025 | ICML | RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers. | Min Zhao, Guande He, Yixiao Chen, Hongzhou Zhu, Chongxuan Li, Jun Zhu |
| 2025 | ICML | Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator. | Kaiwen Zheng, Yongxin Chen, Huayu Chen, Guande He, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang |
| 2025 | IJCAI | Riding the Wave: Multi-Scale Spatial-Temporal Graph Learning for Highway Traffic Flow Prediction Under Overload Scenarios. | Xigang Sun, Jiahui Jin, Hancheng Wang, Xiangguo Sun, Xiaoliang Wang, Jun Zhu |
| 2025 | IJCAI | Self-Consistent Model-based Adaptation for Visual Reinforcement Learning. | Xinning Zhou, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu |
| 2025 | IROS | Navi2Gaze: Leveraging Foundation Models for Navigation and Target Gazing. | Jun Zhu, Zihao Du, Haotian Xu, Fengbo Lan, Zilong Zheng, Bo Ma, Shengjie Wang, Tao Zhang |
| 2025 | KDD | Fairness without Demographics through Learning Graph of Gradients. | Yingtao Luo, Zhixun Li, Qiang Liu, Jun Zhu |
| 2025 | KSEM | FCA-XLNet-BiGRU Multi-task Framework for Darknet Transactions. | Dong Wang, Jun Zhu, Peng Wu |
| 2025 | NPC | Image Compressive Sensing Approach Based on Mixed Precision Training and Deep Unrolling Network. | Lei Feng, Mingzhu Bian, Jun Zhu, Bo Zhang, Xiuliang Zhang |
| 2024 | AAAI | DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization. | Wentse Chen, Shiyu Huang, Yuan Chiang, Tim Pearce, Wei-Wei Tu, Ting Chen, Jun Zhu |
| 2024 | CVPR | Exploring the Transferability of Visual Prompting for Multimodal Large Language Models. | Yichi Zhang, Yinpeng Dong, Siyuan Zhang, Tianzan Min, Hang Su, Jun Zhu |
| 2024 | ECCV | LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents. | 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 | ECCV | Grounding DINO: Marrying DINO with Grounded Pre-training for Open-Set Object Detection. | 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 | ECCV | CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model. | Zhengyi Wang, Yikai Wang, Yifei Chen, Chendong Xiang, Shuo Chen, Dajiang Yu, Chongxuan Li, Hang Su, Jun Zhu |
| 2024 | ECCV | DreamReward: Text-to-3D Generation with Human Preference. | Junliang Ye, Fangfu Liu, Qixiu Li, Zhengyi Wang, Yikai Wang, Xinzhou Wang, Yueqi Duan, Jun Zhu |
| 2024 | ICLR | Score Regularized Policy Optimization through Diffusion Behavior. | Huayu Chen, Cheng Lu, Zhengyi Wang, Hang Su, Jun Zhu |
| 2024 | ICLR | Rethinking Model Ensemble in Transfer-based Adversarial Attacks. | Huanran Chen, Yichi Zhang, Yinpeng Dong, Xiao Yang, Hang Su, Jun Zhu |
| 2024 | ICLR | InstructPix2NeRF: Instructed 3D Portrait Editing from a Single Image. | Jianhui Li, Shilong Liu, Zidong Liu, Yikai Wang, Kaiwen Zheng, Jinghui Xu, Jianmin Li, Jun Zhu |
| 2024 | ICLR | Efficient Backpropagation with Variance Controlled Adaptive Sampling. | Ziteng Wang, Jianfei Chen, Jun Zhu |
| 2024 | ICLR | Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches. | Lingxuan Wu, Xiao Yang, Yinpeng Dong, Liuwei Xie, Hang Su, Jun Zhu |
| 2024 | ICLR | FeedFace: Efficient Inference-based Face Personalization via Diffusion Models. | Chendong Xiang, Armando Teles Fortes, Khang Hui Chua, Hang Su, Jun Zhu |
| 2024 | ICML | Robust Classification via a Single Diffusion Model. | Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu |
| 2024 | ICML | Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior. | Shuyu Cheng, Yibo Miao, Yinpeng Dong, Xiao Yang, Xiao-Shan Gao, Jun Zhu |
| 2024 | ICML | DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training. | Zhongkai Hao, Chang Su, Songming Liu, Julius Berner, Chengyang Ying, Hang Su, Anima Anandkumar, Jian Song, Jun Zhu |
| 2024 | ICML | Accelerating Transformer Pre-training with 2: 4 Sparsity. | Yuezhou Hu, Kang Zhao, Weiyu Huang, Jianfei Chen, Jun Zhu |
| 2024 | ICML | Towards Efficient Exact Optimization of Language Model Alignment. | Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang |
| 2024 | ICML | Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning. | Hengkai Tan, Songming Liu, Kai Ma, Chengyang Ying, Xingxing Zhang, Hang Su, Jun Zhu |
| 2024 | ICML | Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization. | Haocheng Xi, Yuxiang Chen, Kang Zhao, Kai Jun Teh, Jianfei Chen, Jun Zhu |
| 2024 | ICRA | A Large-area Tactile Sensor for Distributed Force Sensing Using Highly Sensitive Piezoresistive Sponge. | Wendong Zheng, Kun Liu, Di Guo, Wuqiang Yang, Jun Zhu, Huaping Liu |
| 2024 | ICRA | i-Octree: A Fast, Lightweight, and Dynamic Octree for Proximity Search. | Jun Zhu, Hongyi Li, Zhepeng Wang, Shengjie Wang, Tao Zhang |
| 2024 | IGARSS | CDTCL: Cross-Domain Remote Sensing Image Translation for Semantic Segmentation Leveraging Contrastive Learning. | Ziyao Li, Zhengyi Lei, Mengjie Xie, Hong Ji, Yanzhang Li, Jun Zhu, Zhi Gao |
| 2023 | AAAI | Certifiable Out-of-Distribution Generalization. | Nanyang Ye, Lin Zhu, Jia Wang, Zhaoyu Zeng, Jiayao Shao, Chensheng Peng, Bikang Pan, Kaican Li, Jun Zhu |
| 2023 | AAAI | DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding. | Shilong Liu, Shijia Huang, Feng Li, Hao Zhang, Yaoyuan Liang, Hang Su, Jun Zhu, Lei Zhang |
| 2023 | ACML | Can Infinitely Wide Deep Nets Help Small-data Multi-label Learning? | Guoqiang Wu, Jun Zhu |
| 2023 | CVPR | All are Worth Words: A ViT Backbone for Diffusion Models. | Fan Bao, Shen Nie, Kaiwen Xue, Yue Cao, Chongxuan Li, Hang Su, Jun Zhu |
| 2023 | CVPR | Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving. | Yinpeng Dong, Caixin Kang, Jinlai Zhang, Zijian Zhu, Yikai Wang, Xiao Yang, Hang Su, Xingxing Wei, Jun Zhu |
| 2023 | CVPR | PREIM3D: 3D Consistent Precise Image Attribute Editing from a Single Image. | Jianhui Li, Jianmin Li, Haoji Zhang, Shilong Liu, Zhengyi Wang, Zihao Xiao, Kaiwen Zheng, Jun Zhu |
| 2023 | CVPR | Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition. | Xiao Yang, Chang Liu, Longlong Xu, Yikai Wang, Yinpeng Dong, Ning Chen, Hang Su, Jun Zhu |
| 2023 | CVPR | Learning CLIP Guided Visual-Text Fusion Transformer for Video-based Pedestrian Attribute Recognition. | Jun Zhu, Jiandong Jin, Zihan Yang, Xiaohao Wu, Xiao Wang |
| 2023 | ICCV | Detection Transformer with Stable Matching. | Shilong Liu, Tianhe Ren, Jiayu Chen, Zhaoyang Zeng, Hao Zhang, Feng Li, Hongyang Li, Jun Huang, Hang Su, Jun Zhu, Lei Zhang |
| 2023 | ICLR | DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection. | Hao Zhang, Feng Li, Shilong Liu, Lei Zhang, Hang Su, Jun Zhu, Lionel M. Ni, Heung-Yeung Shum |
| 2023 | ICLR | Equivariant Energy-Guided SDE for Inverse Molecular Design. | Fan Bao, Min Zhao, Zhongkai Hao, Peiyao Li, Chongxuan Li, Jun Zhu |
| 2023 | ICLR | Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling. | Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu |
| 2023 | ICLR | Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients. | Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Jian Song, Ze Cheng |
| 2023 | ICLR | Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models. | Guande He, Jianfei Chen, Jun Zhu |
| 2023 | ICML | Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning. | Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu |
| 2023 | ICML | One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale. | Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu |
| 2023 | ICML | GNOT: A General Neural Operator Transformer for Operator Learning. | Zhongkai Hao, Zhengyi Wang, Hang Su, Chengyang Ying, Yinpeng Dong, Songming Liu, Ze Cheng, Jian Song, Jun Zhu |
| 2023 | ICML | NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data. | Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu |
| 2023 | ICML | Stabilizing GANs' Training with Brownian Motion Controller. | Tianjiao Luo, Ziyu Zhu, Jianfei Chen, Jun Zhu |
| 2023 | ICML | MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks. | Jiachen Yao, Chang Su, Zhongkai Hao, Songming Liu, Hang Su, Jun Zhu |
| 2023 | ICML | Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs. | Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu |
| 2023 | ICML | Revisiting Discriminative vs. Generative Classifiers: Theory and Implications. | Chenyu Zheng, Guoqiang Wu, Fan Bao, Yue Cao, Chongxuan Li, Jun Zhu |
| 2023 | IJCAI | On the Reuse Bias in Off-Policy Reinforcement Learning. | Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Dong Yan, Jun Zhu |
| 2023 | KDD | Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations. | Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu |
| 2022 | AAAI | Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model. | Jialian Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu |
| 2022 | ACML | BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning. | Zhijie Deng, Jun Zhu |
| 2022 | AMIA | Public Opinions toward COVID-19 Vaccine Mandates: A Machine Learning-based Analysis of U.S. Tweets. | Yawen Guo, Jun Zhu, Yicong Huang, Lu He, Changyang He, Chen Li, Kai Zheng |
| 2022 | CVPR | OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization. | Nanyang Ye, Kaican Li, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu |
| 2022 | CVPR | AutoLoss-GMS: Searching Generalized Margin-based Softmax Loss Function for Person Re-identification. | Hongyang Gu, Jianmin Li, Guangyuan Fu, Chifong Wong, Xinghao Chen, Jun Zhu |
| 2022 | CVPR | Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart. | Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu |
| 2022 | CVPR | BE-STI: Spatial-Temporal Integrated Network for Class-agnostic Motion Prediction with Bidirectional Enhancement. | Yunlong Wang, Hongyu Pan, Jun Zhu, Yu-Huan Wu, Xin Zhan, Kun Jiang, Diange Yang |
| 2022 | ECCV | BadDet: Backdoor Attacks on Object Detection. | Shih-Han Chan, Yinpeng Dong, Jun Zhu, Xiaolu Zhang, Jun Zhou |
| 2022 | ECCV | CoSCL: Cooperation of Small Continual Learners is Stronger Than a Big One. | Liyuan Wang, Xingxing Zhang, Qian Li, Jun Zhu, Yi Zhong |
| 2022 | ECCV | INT: Towards Infinite-Frames 3D Detection with an Efficient Framework. | Jianyun Xu, Zhenwei Miao, Da Zhang, Hongyu Pan, Kaixuan Liu, Peihan Hao, Jun Zhu, Zhengyang Sun, Hongmin Li, Xin Zhan |
| 2022 | ECCV | Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks. | Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu |
| 2022 | ICLR | Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models. | Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang |
| 2022 | ICLR | Exploring Memorization in Adversarial Training. | Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu |
| 2022 | ICLR | DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR. | Shilong Liu, Feng Li, Hao Zhang, Xiao Yang, Xianbiao Qi, Hang Su, Jun Zhu, Lei Zhang |
| 2022 | ICLR | Memory Replay with Data Compression for Continual Learning. | Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu |
| 2022 | ICML | Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models. | Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang |
| 2022 | ICML | NeuralEF: Deconstructing Kernels by Deep Neural Networks. | Zhijie Deng, Jiaxin Shi, Jun Zhu |
| 2022 | ICML | GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing. | Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jian Song, Jun Zhu |
| 2022 | ICML | Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching. | Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu |
| 2022 | ICML | Robustness and Accuracy Could Be Reconcilable by (Proper) Definition. | Tianyu Pang, Min Lin, Xiao Yang, Jun Zhu, Shuicheng Yan |
| 2022 | ICML | Fast Lossless Neural Compression with Integer-Only Discrete Flows. | Siyu Wang, Jianfei Chen, Chongxuan Li, Jun Zhu, Bo Zhang |
| 2022 | ICML | Thompson Sampling for (Combinatorial) Pure Exploration. | Siwei Wang, Jun Zhu |
| 2022 | IJCAI | Cluster Attack: Query-based Adversarial Attacks on Graph with Graph-Dependent Priors. | Zhengyi Wang, Zhongkai Hao, Ziqiao Wang, Hang Su, Jun Zhu |
| 2022 | IJCAI | Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk. | Chengyang Ying, Xinning Zhou, Hang Su, Dong Yan, Ning Chen, Jun Zhu |
| 2022 | NAACL | Towards Job-Transition-Tag Graph for a Better Job Title Representation Learning. | Jun Zhu, Cline Hudelot |
| 2021 | AAAI | A Bayesian Approach for Subset Selection in Contextual Bandits. | Jialian Li, Chao Du, Jun Zhu |
| 2021 | AAAI | Improving Generative Moment Matching Networks with Distribution Partition. | Yong Ren, Yucen Luo, Jun Zhu |
| 2021 | AAAI | Learning Task-Distribution Reward Shaping with Meta-Learning. | Haosheng Zou, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu |
| 2021 | AISTATS | Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings. | Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf |
| 2021 | CIKM | Mining Cross Features for Financial Credit Risk Assessment. | Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu |
| 2021 | CVPR | LiBRe: A Practical Bayesian Approach to Adversarial Detection. | Zhijie Deng, Xiao Yang, Shizhen Xu, Hang Su, Jun Zhu |
| 2021 | CVPR | Unsupervised Part Segmentation Through Disentangling Appearance and Shape. | Shilong Liu, Lei Zhang, Xiao Yang, Hang Su, Jun Zhu |
| 2021 | CVPR | PVGNet: A Bottom-Up One-Stage 3D Object Detector With Integrated Multi-Level Features. | Zhenwei Miao, Jikai Chen, Hongyu Pan, Ruiwen Zhang, Kaixuan Liu, Peihan Hao, Jun Zhu, Yang Wang, Xin Zhan |
| 2021 | CVPR | ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning. | Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu |
| 2021 | CVPR | Improving Transferability of Adversarial Patches on Face Recognition With Generative Models. | Zihao Xiao, Xianfeng Gao, Chilin Fu, Yinpeng Dong, Wei Gao, Xiaolu Zhang, Jun Zhou, Jun Zhu |
| 2021 | ICCV | Black-box Detection of Backdoor Attacks with Limited Information and Data. | Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu |
| 2021 | ICCV | Towards Face Encryption by Generating Adversarial Identity Masks. | Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu, Yuefeng Chen, Hui Xue |
| 2021 | ICLR | Implicit Normalizing Flows. | Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu |
| 2021 | ICLR | Bag of Tricks for Adversarial Training. | Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu |
| 2021 | ICLR | MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering. | Tsung Wei Tsai, Chongxuan Li, Jun Zhu |
| 2021 | ICLR | Efficient Inference of Flexible Interaction in Spiking-neuron Networks. | Feng Zhou, Yixuan Zhang, Jun Zhu |
| 2021 | ICML | Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models. | Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang |
| 2021 | ICMLA | Improving Next-Application Prediction with Deep Personalized-Attention Neural Network. | Jun Zhu, Gautier Viaud, Cline Hudelot |
| 2021 | IJCAI | Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu. | Yunsheng Zhang, Dong Yan, Bei Shi, Haobo Fu, Qiang Fu, Hang Su, Jun Zhu, Ning Chen |
| 2021 | PRICAI | Off-Policy Training for Truncated TD(λ) Boosted Soft Actor-Critic. | Shiyu Huang, Bin Wang, Hang Su, Dong Li, Jianye Hao, Jun Zhu, Ting Chen |
| 2020 | AISTATS | A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models. | Ziyu Wang, Shuyu Cheng, Yueru Li, Jun Zhu, Bo Zhang |
| 2020 | CVPR | Benchmarking Adversarial Robustness on Image Classification. | Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, Jun Zhu |
| 2020 | ECCV | Training Interpretable Convolutional Neural Networks by Differentiating Class-Specific Filters. | Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang |
| 2020 | ECCV | Defense Against Adversarial Attacks via Controlling Gradient Leaking on Embedded Manifolds. | Yueru Li, Shuyu Cheng, Hang Su, Jun Zhu |
| 2020 | ECCV | Design and Interpretation of Universal Adversarial Patches in Face Detection. | Xiao Yang, Fangyun Wei, Hongyang Zhang, Jun Zhu |
| 2020 | ICARCV | Real-time Obstacle Avoidance in Robotic Manipulation Using Imitation Learning. | Jie Huang, Wei Ge, Hualong Cheng, Chun Xi, Jun Zhu, Fei Zhang, Weiwei Shang |
| 2020 | ICLR | SVQN: Sequential Variational Soft Q-Learning Networks. | Shiyu Huang, Hang Su, Jun Zhu, Ting Chen |
| 2020 | ICLR | To Relieve Your Headache of Training an MRF, Take AdVIL. | Chongxuan Li, Chao Du, Kun Xu, Max Welling, Jun Zhu, Bo Zhang |
| 2020 | ICLR | SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models. | Yucen Luo, Alex Beatson, Mohammad Norouzi, Jun Zhu, David Duvenaud, Ryan P. Adams, Ricky T. Q. Chen |
| 2020 | ICLR | Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness. | Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu |
| 2020 | ICLR | Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks. | Tianyu Pang, Kun Xu, Jun Zhu |
| 2020 | ICLR | Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information. | Yichi Zhou, Jialian Li, Jun Zhu |
| 2020 | ICLR | Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information. | Yichi Zhou, Tongzheng Ren, Jialian Li, Dong Yan, Jun Zhu |
| 2020 | ICML | VFlow: More Expressive Generative Flows with Variational Data Augmentation. | Jianfei Chen, Cheng Lu, Biqi Chenli, Jun Zhu, Tian Tian |
| 2020 | ICML | Understanding and Stabilizing GANs' Training Dynamics Using Control Theory. | Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang |
| 2020 | ICML | Nonparametric Score Estimators. | Yuhao Zhou, Jiaxin Shi, Jun Zhu |
| 2020 | ICML | Variance Reduction and Quasi-Newton for Particle-Based Variational Inference. | Michael Zhu, Chang Liu, Jun Zhu |
| 2020 | IJCNN | Discrete Memory Addressing Variational Autoencoder for Visual Concept Learning. | Yanze Min, Hang Su, Jun Zhu, Bo Zhang |
| 2020 | INDIN | Multi-source Unsupervised Domain Adaptation for Machinery Fault Diagnosis under Different Working Conditions. | Jun Zhu, Nan Chen, Changqing Shen, Dong Wang |
| 2019 | AAAI | Combo-Action: Training Agent For FPS Game with Auxiliary Tasks. | Shiyu Huang, Hang Su, Jun Zhu, Ting Chen |
| 2019 | AAAI | Composite Binary Decomposition Networks. | You Qiaoben, Zheng Wang, Jianguo Li, Yinpeng Dong, Yu-Gang Jiang, Jun Zhu |
| 2019 | AAAI | Sparse Adversarial Perturbations for Videos. | Xingxing Wei, Jun Zhu, Sha Yuan, Hang Su |
| 2019 | AAAI | Direct Training for Spiking Neural Networks: Faster, Larger, Better. | Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, Luping Shi |
| 2019 | CIKM | Model-based Constrained MDP for Budget Allocation in Sequential Incentive Marketing. | Shuai Xiao, Le Guo, Zaifan Jiang, Lei Lv, Yuanbo Chen, Jun Zhu, Shuang Yang |
| 2019 | CVPR | Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks. | Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu |
| 2019 | CVPR | Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition. | Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu |
| 2019 | ICASSP | Uplink Multi-user MIMO Detection via Parallel Access. | Keke Zu, Jun Zhu, Martin Haardt |
| 2019 | ICCV | Cluster Alignment With a Teacher for Unsupervised Domain Adaptation. | Zhijie Deng, Yucen Luo, Jun Zhu |
| 2019 | ICLR | Function Space Particle Optimization for Bayesian Neural Networks. | Ziyu Wang, Tongzheng Ren, Jun Zhu, Bo Zhang |
| 2019 | ICML | Understanding MCMC Dynamics as Flows on the Wasserstein Space. | Chang Liu, Jingwei Zhuo, Jun Zhu |
| 2019 | ICML | Understanding and Accelerating Particle-Based Variational Inference. | Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu |
| 2019 | ICML | Improving Adversarial Robustness via Promoting Ensemble Diversity. | Tianyu Pang, Kun Xu, Chao Du, Ning Chen, Jun Zhu |
| 2019 | ICML | Scalable Training of Inference Networks for Gaussian-Process Models. | Jiaxin Shi, Mohammad Emtiyaz Khan, Jun Zhu |
| 2019 | IGARSS | A Method of Automatically Extracting Forest Fire Burned Areas Using Gf-1 Remote Sensing Images. | Bin Wu, Ming Liu, Dan Jia, Suju Li, Qiang Cong, Chao Wang, Yang Zhu, Huan Yin, Jun Zhu |
| 2019 | IGARSS | Design and Analysis of Radiometric Calibration Mission in-orbit for Environment and Disasters Monitoring Satellite. | Yang Zhu, Dexin Sun, Xuebin Liu, Lifeng Jin, Jun Zhu, Zhaoguang Bai, Jun Dong, Bin Wu, Min Huang, Huan Yin, Qipeng Cao, Jin Hong |
| 2019 | IJCAI | Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning. | Shihong Song, Jiayi Weng, Hang Su, Dong Yan, Haosheng Zou, Jun Zhu |
| 2018 | AAAI | Collaborative Filtering With User-Item Co-Autoregressive Models. | Chao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Bo Zhang |
| 2018 | AAAI | Riemannian Stein Variational Gradient Descent for Bayesian Inference. | Chang Liu, Jun Zhu |
| 2018 | AAAI | Selective Verification Strategy for Learning From Crowds. | Tian Tian, Yichi Zhou, Jun Zhu |
| 2018 | AAAI | Towards Training Probabilistic Topic Models on Neuromorphic Multi-Chip Systems. | Zihao Xiao, Jianfei Chen, Jun Zhu |
| 2018 | AAAI | Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process. | Haosheng Zou, Hang Su, Shihong Song, Jun Zhu |
| 2018 | CVPR | Boosting Adversarial Attacks With Momentum. | Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, Jianguo Li |
| 2018 | CVPR | Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser. | Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Xiaolin Hu, Jun Zhu |
| 2018 | CVPR | Textbook Question Answering Under Instructor Guidance With Memory Networks. | Juzheng Li, Hang Su, Jun Zhu, Siyu Wang, Bo Zhang |
| 2018 | CVPR | Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning. | Yucen Luo, Jun Zhu, Mengxi Li, Yong Ren, Bo Zhang |
| 2018 | DSN | To Detect Stack Buffer Overflow with Polymorphic Canaries. | Zhilong Wang, Xuhua Ding, Chengbin Pang, Jian Guo, Jun Zhu, Bing Mao |
| 2018 | ICARCV | Downside Hemisphere Object Detection and Localization of MAV by Fisheye Camera. | Jun Zhu, Jiangcheng Zhu, Xudong Wan, Chao Xu |
| 2018 | ICLR | Kernel Implicit Variational Inference. | Jiaxin Shi, Shengyang Sun, Jun Zhu |
| 2018 | ICML | Stochastic Training of Graph Convolutional Networks with Variance Reduction. | Jianfei Chen, Jun Zhu, Le Song |
| 2018 | ICML | Adversarial Attack on Graph Structured Data. | Hanjun Dai, Hui Li, Tian Tian, Xin Huang, Lin Wang, Jun Zhu, Le Song |
| 2018 | ICML | Max-Mahalanobis Linear Discriminant Analysis Networks. | Tianyu Pang, Chao Du, Jun Zhu |
| 2018 | ICML | A Spectral Approach to Gradient Estimation for Implicit Distributions. | Jiaxin Shi, Shengyang Sun, Jun Zhu |
| 2018 | ICML | Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors. | Yichi Zhou, Jun Zhu, Jingwei Zhuo |
| 2018 | ICML | Message Passing Stein Variational Gradient Descent. | Jingwei Zhuo, Chang Liu, Jiaxin Shi, Jun Zhu, Ning Chen, Bo Zhang |
| 2018 | IJCAI | Learning to Write Stylized Chinese Characters by Reading a Handful of Examples. | Danyang Sun, Tongzheng Ren, Chongxuan Li, Hang Su, Jun Zhu |
| 2018 | IJCAI | Probabilistic Machine Learning: Models, Algorithms and a Programming Library. | Jun Zhu |
| 2018 | ICWS | High Performance Visual Inspection Service Architecture - Squeezing the Most Out of Commodity Servers. | Guoqiang Hu, Peng Ji, Jun Zhu, Bowen Wei, Zhe Yan, Lei He |
| 2017 | AAAI | Learning Attributes from the Crowdsourced Relative Labels. | Tian Tian, Ning Chen, Jun Zhu |
| 2017 | ASPLOS | SaberLDA: Sparsity-Aware Learning of Topic Models on GPUs. | Kaiwei Li, Jianfei Chen, Wenguang Chen, Jun Zhu |
| 2017 | BMVC | Detecting Semantic Parts on Partially Occluded Objects. | Jianyu Wang, Zhishuai Zhang, Cihang Xie, Jun Zhu, Lingxi Xie, Alan L. Yuille |
| 2017 | CVPR | Improving Interpretability of Deep Neural Networks with Semantic Information. | Yinpeng Dong, Hang Su, Jun Zhu, Bo Zhang |
| 2017 | ICML | Identify the Nash Equilibrium in Static Games with Random Payoffs. | Yichi Zhou, Jialian Li, Jun Zhu |
| 2017 | IJCAI | Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization. | Wenbo Hu, Jun Zhu, Hang Su, Jingwei Zhuo, Bo Zhang |
| 2017 | IJCAI | Improving Learning-from-Crowds through Expert Validation. | Mengchen Liu, Liu Jiang, Junlin Liu, Xiting Wang, Jun Zhu, Shixia Liu |
| 2017 | IJCAI | Distributed Accelerated Proximal Coordinate Gradient Methods. | Yong Ren, Jun Zhu |
| 2017 | IJCAI | Forecast the Plausible Paths in Crowd Scenes. | Hang Su, Jun Zhu, Yinpeng Dong, Bo Zhang |
| 2016 | AAAI | Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation. | Bei Chen, Ning Chen, Jun Zhu, Jiaming Song, Bo Zhang |
| 2016 | AAAI | Jointly Modeling Topics and Intents with Global Order Structure. | Bei Chen, Jun Zhu, Nan Yang, Tian Tian, Ming Zhou, Bo Zhang |
| 2016 | AAAI | Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization. | Yang Song, Jun Zhu |
| 2016 | AAAI | Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features. | Fangting Xia, Jun Zhu, Peng Wang, Alan L. Yuille |
| 2016 | ACL | Generative Topic Embedding: a Continuous Representation of Documents. | Shaohua Li, Tat-Seng Chua, Jun Zhu, Chunyan Miao |
| 2016 | ACL | Discriminative Deep Random Walk for Network Classification. | Juzheng Li, Jun Zhu, Bo Zhang |
| 2016 | ACL | Segment-Level Sequence Modeling using Gated Recursive Semi-Markov Conditional Random Fields. | Jingwei Zhuo, Yong Cao, Jun Zhu, Bo Zhang, Zaiqing Nie |
| 2016 | CVPR | Neuron Segmentation Based on CNN with Semi-Supervised Regularization. | Kun Xu, Hang Su, Jun Zhu, Ji-Song Guan, Bo Zhang |
| 2016 | ECCV | Efficient and Robust Semi-supervised Learning Over a Sparse-Regularized Graph. | Hang Su, Jun Zhu, Zhaozheng Yin, Yinpeng Dong, Bo Zhang |
| 2016 | ICML | Learning to Generate with Memory. | Chongxuan Li, Jun Zhu, Bo Zhang |
| 2016 | ICML | Diversity-Promoting Bayesian Learning of Latent Variable Models. | Pengtao Xie, Jun Zhu, Eric P. Xing |
| 2016 | IGARSS | Research of optimal parameters for parcel-based change detection. | Bin Wu, Yuquan Liu, Jun Zhu, Chunling Lu, Huan Yin, Dong-xu He, Anzhi Yue |
| 2016 | IJCAI | Crowd Scene Understanding with Coherent Recurrent Neural Networks. | Hang Su, Yinpeng Dong, Jun Zhu, Haibin Ling, Bo Zhang |
| 2016 | KDD | Distributing the Stochastic Gradient Sampler for Large-Scale LDA. | Yuan Yang, Jianfei Chen, Jun Zhu |
| 2015 | EMNLP | A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution. | Shaohua Li, Jun Zhu, Chunyan Miao |
| 2015 | ICML | DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics. | Yining Wang, Jun Zhu |
| 2015 | IJCAI | Modelling High-Dimensional Sequences with LSTM-RTRBM: Application to Polyphonic Music Generation. | Qi Lyu, Zhiyong Wu, Jun Zhu, Helen Meng |
| 2015 | IJCAI | Adaptive Dropout Rates for Learning with Corrupted Features. | Jingwei Zhuo, Jun Zhu, Bo Zhang |
| 2015 | IGARSS | GGSOR: A Gaussian-Gamma-Shaped bi-windows based descriptor for optical and SAR images matching. | Min Chen, Qing Zhu, Jun Zhu |
| 2015 | PAKDD | Uncovering the Latent Structures of Crowd Labeling. | Tian Tian, Jun Zhu |
| 2014 | AAAI | Dropout Training for Support Vector Machines. | Ning Chen, Jun Zhu, Jianfei Chen, Bo Zhang |
| 2014 | AAAI | Small-Variance Asymptotics for Dirichlet Process Mixtures of SVMs. | Yining Wang, Jun Zhu |
| 2014 | ECCV | An Active Patch Model for Real World Texture and Appearance Classification. | Junhua Mao, Jun Zhu, Alan L. Yuille |
| 2014 | GLOBECOM | Impact of estimated CSI quantization on secrecy rate loss in pilot-aided MIMO systems. | Zhangjie Peng, Jun Zhu, Wei Xu, Hua Zhang, Chunming Zhao |
| 2014 | ICML | Bayesian Max-margin Multi-Task Learning with Data Augmentation. | Chengtao Li, Jun Zhu, Jianfei Chen |
| 2014 | ICML | Robust RegBayes: Selectively Incorporating First-Order Logic Domain Knowledge into Bayesian Models. | Shike Mei, Jun Zhu, Jerry Zhu |
| 2014 | ICML | Online Bayesian Passive-Aggressive Learning. | Tianlin Shi, Jun Zhu |
| 2014 | ICML | Max-Margin Infinite Hidden Markov Models. | Aonan Zhang, Jun Zhu, Bo Zhang |
| 2014 | IJCNN | Max-margin latent feature relational models for entity-attribute networks. | Fei Xia, Ning Chen, Jun Zhu, Aonan Zhang, Xiaoming Jin |
| 2013 | ACL | Improved Bayesian Logistic Supervised Topic Models with Data Augmentation. | Jun Zhu, Xun Zheng, Bo Zhang |
| 2013 | EuroPar | Communication Models for Resource Constrained Hierarchical Ethernet Networks. | Jun Zhu, Alexey L. Lastovetsky, Shoukat Ali, Rolf Riesen |
| 2013 | GLOBECOM | Secure transmission in multi-cell massive MIMO systems. | Jun Zhu, Robert Schober, Vijay K. Bhargava |
| 2013 | ICCV | Action Recognition with Actons. | Jun Zhu, Baoyuan Wang, Xiaokang Yang, Wenjun Zhang, Zhuowen Tu |
| 2013 | ICIG | A Virtual High-Speed Railway Scene Modeling Method Based on Basic-Element Model Combination. | Jinhong Wang, Jun Zhu, Zhujun Liu, Lingzhi Yin, Chuan Qin |
| 2013 | ICIG | 3D GIS Modeling of Virtual High-Speed Railway Scene Based on ArcGlobe. | Jun Zhu, Ali Zhang, Lingzhi Yin, Chuan Qin, Jinhong Wang, Mingwei Liu |
| 2013 | ICIP | A spindle model for contextual object detection. | Yukun Zhu, Jun Zhu, Rui Zhang |
| 2013 | ICML | Fast Max-Margin Matrix Factorization with Data Augmentation. | Minjie Xu, Jun Zhu, Bo Zhang |
| 2013 | ICML | Gibbs Max-Margin Topic Models with Fast Sampling Algorithms. | Jun Zhu, Ning Chen, Hugh Perkins, Bo Zhang |
| 2013 | IJCAI | Generalized Relational Topic Models with Data Augmentation. | Ning Chen, Jun Zhu, Fei Xia, Bo Zhang |
| 2013 | KDD | Scalable inference in max-margin topic models. | Jun Zhu, Xun Zheng, Li Zhou, Bo Zhang |
| 2012 | ACCV | Multi-Level Structured Image Coding on High-Dimensional Image Representation. | Li-Jia Li, Jun Zhu, Hao Su, Eric P. Xing, Li Fei-Fei |
| 2012 | BMVC | Image Classification by Hierarchical Spatial Pooling with Partial Least Squares Analysis. | Jun Zhu, Weijia Zou, Xiaokang Yang, Rui Zhang, Quan Zhou, Wenjun Zhang |
| 2012 | GLOBECOM | Joint beamforming, resource allocation, and scheduling for multi-cell multi-user MIMO-OFDMA systems. | Jun Zhu, Robert Schober, Vijay K. Bhargava |
| 2012 | GLOBECOM | Performance evaluation of coordinated dual-cell transmission based on random unitary beamforming with user scheduling. | Jun Zhu, Hong-Chuan Yang, Robert Schober |
| 2012 | ICML | Max-Margin Nonparametric Latent Feature Models for Link Prediction. | Jun Zhu |
| 2012 | KDD | Learning from crowds in the presence of schools of thought. | Yuandong Tian, Jun Zhu |
| 2011 | ADMA | Efficient Subject-Oriented Evaluating and Mining Methods for Data with Schema Uncertainty. | Yue Wang, Changjie Tang, Tengjiao Wang, Dongqing Yang, Jun Zhu |
| 2011 | ICIG | A Double-Layer Model for Foreground Detection from Video Sequence. | Huanxi Liu, Junchi Yan, Jun Zhu, Xiaowei Lv, Xiong Li, Tianhong Zhu, Yuncai Liu |
| 2011 | ICIP | Human identification using body prior and generalized EMD. | Lianyang Ma, Xiaokang Yang, Yi Xu, Jun Zhu |
| 2011 | ICML | Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines. | Jun Zhu, Ning Chen, Eric P. Xing |
| 2011 | ICNC | Indicator-based particle swarm optimization with local search. | Shujin Jia, Jun Zhu, Bin Du, Heng Yue |
| 2011 | INFOCOM | Twinkle: A fast resource provisioning mechanism for internet services. | Jun Zhu, Zhefu Jiang, Zhen Xiao |
| 2011 | ICWS | Regression Testing as a Service. | Sheng Huang, Zhong Jie Li, Ying Liu, Jun Zhu, Yanghua Xiao, Wei Wang |
| 2011 | KDD | Conditional topical coding: an efficient topic model conditioned on rich features. | Jun Zhu, Ni Lao, Ning Chen, Eric P. Xing |
| 2010 | APWEB | MMIR: Mining Multi-scale Intervention Rules in Sub-Complex System. | Jiaoling Zheng, Changjie Tang, Shaojie Qiao, Ning Yang, Yue Wang, Yu Chen, Jun Zhu |
| 2010 | ASPDAC | Constrained global scheduling of streaming applications on MPSoCs. | Jun Zhu, Ingo Sander, Axel Jantsch |
| 2010 | CSCWD | Implementation of collaborative design system upon heterogeneous CAD systems using a feature-based mapping set. | Xiaodong Song, Wanfeng Dou, Jun Zhu |
| 2010 | DATE | Pareto efficient design for reconfigurable streaming applications on CPU/FPGAs. | Jun Zhu, Ingo Sander, Axel Jantsch |
| 2010 | DICTA | An Enhancement to Closed-Form Method for Natural Image Matting. | Jun Zhu, Dengsheng Zhang, Guojun Lu |
| 2010 | FDL | HetMoC: Heterogeneous Modelling in SystemC. | Jun Zhu, Ingo Sander, Axel Jantsch |
| 2010 | GLOBECOM | Low-Complexity Coordinated Beamforming Transmission for Multiuser MISO Systems and Its Performance Analysis. | Jun Zhu, Hong-Chuan Yang |
| 2010 | ICML | Conditional Topic Random Fields. | Jun Zhu, Eric P. Xing |
| 2010 | KDD | Grafting-light: fast, incremental feature selection and structure learning of Markov random fields. | Jun Zhu, Ni Lao, Eric P. Xing |
| 2009 | APWEB | Meta Galaxy: A Flexible and Efficient Cube Model for Data Retrieval in OLAP. | Jie Zuo, Changjie Tang, Lei Duan, Yue Wang, Liang Tang, Tianqing Zhang, Jun Zhu |
| 2009 | COMPSAC | Towards Call for Testing: An Application to User Acceptance Testing of Web Applications. | Lian Yu, Wei Zhao, Xiaofeng Di, Changzhu Kong, Wenbo Zhao, Qianxiang Wang, Jun Zhu |
| 2009 | CSCWD | The role research in group awareness model. | Jianguo Li, Yong Tang, Gaofeng Ji, Jun Zhu |
| 2009 | CSCWD | A role hierarchical group awareness model and its time possibility analysis based fuzzy time. | Jun Zhu, Yong Tang, Jianguo Li, Hai Liu |
| 2009 | DATE | Buffer minimization of real-time streaming applications scheduling on hybrid CPU/FPGA architectures. | Jun Zhu, Ingo Sander, Axel Jantsch |
| 2009 | ICML | MedLDA: maximum margin supervised topic models for regression and classification. | Jun Zhu, Amr Ahmed, Eric P. Xing |
| 2009 | ICML | On primal and dual sparsity of Markov networks. | Jun Zhu, Eric P. Xing |
| 2009 | ICSE | Towards a Practical and Effective Method for Web Services Test Case Generation. | Zhong Jie Li, Jun Zhu, Liang-Jie Zhang, Naomi M. Mitsumori |
| 2009 | ICWS | A Unified Test Framework for Continuous Integration Testing of SOA Solutions. | Hehui Liu, Zhong Jie Li, Jun Zhu, Huafang Tan, He Yuan Huang |
| 2009 | KDD | User grouping behavior in online forums. | Xiaolin Shi, Jun Zhu, Rui Cai, Lei Zhang |
| 2009 | KDD | Primal sparse Max-margin Markov networks. | Jun Zhu, Eric P. Xing, Bo Zhang |
| 2009 | OOPSLA | ORTS: a tool for optimized regression testing selection. | Sheng Huang, Jun Zhu, Yuan Ni |
| 2008 | ADMA | Timeline Analysis of Web News Events. | Jiangtao Qiu, Chuan Li, Shaojie Qiao, Taiyong Li, Jun Zhu |
| 2008 | EMSOFT | Energy efficient streaming applications with guaranteed throughput on MPSoCs. | Jun Zhu, Ingo Sander, Axel Jantsch |
| 2008 | GRC | MovStream: An Efficient Algorithm for Monitoring Clusters Evolving in Data Streams. | Liang Tang, Chang-jie Tang, Lei Duan, Chuan Li, Yexi Jiang, Chunqiu Zeng, Jun Zhu |
| 2008 | ICML | Laplace maximum margin Markov networks. | Jun Zhu, Eric P. Xing, Bo Zhang |
| 2008 | ICNC | Mining Projection Transformation Based on Gene Expression Programming of Multi-Variable Niches. | Yue Jiang, Changjie Tang, Haichun Zheng, Jiaoling Zheng, Chuan Li, Qian Luo, Jun Zhu |
| 2008 | ICNC | GEP-NFM: Nested Function Mining Based on Gene Expression Programming. | Taiyong Li, Changjie Tang, Jiang Wu, Xuzhong Wei, Chuan Li, Shucheng Dai, Jun Zhu |
| 2008 | ICNC | Application of Gene Expression Programming to Real Parameter Optimization. | Kaikuo Xu, Changjie Tang, Rong Tang, Yintian Liu, Jie Zuo, Jun Zhu |
| 2008 | ICSR | A Lightweight Approach to Partially Reuse Existing Component-Based System in Service-Oriented Environment. | He Yuan Huang, Huafang Tan, Jun Zhu, Wei Zhao |
| 2007 | ADMA | A Novel Text Classification Approach Based on Enhanced Association Rule. | Jiangtao Qiu, Changjie Tang, Tao Zeng, Shaojie Qiao, Jie Zuo, Peng Chen, Jun Zhu |
| 2007 | DASFAA | Compatibility Analysis and Mediation-Aided Composition for BPEL Services. | Wei Tan, Fangyan Rao, Yushun Fan, Jun Zhu |
| 2007 | ICML | Dynamic hierarchical Markov random fields and their application to web data extraction. | Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen |
| 2007 | ICNC | Clustering Without Prior Knowledge Based on Gene Expression Programming. | Yu Chen, Changjie Tang, Jun Zhu, Chuan Li, Shaojie Qiao, Rui Li, Jiang Wu |
| 2007 | ICNC | The Strategies of Initial Diversity and Dynamic Mutation Rate for Gene Expression Programming. | Lei Duan, Changjie Tang, Jun Zhu, Jie Zuo, Yintian Liu, Jiang Wu, Li Dai |
| 2007 | ICNC | Two Phase Parallel Particle Swarm Algorithm Based on Regional and Social Study of Object Optimization. | Qihong Liu, Tiande Li, Changjie Tang, Qiwei Liu, Jun Zhu, Xinxin Ding, Jiang Wu |
| 2007 | ICNC | An Attribute-Oriented Ensemble Classifier Based on Niche Gene Expression Programming. | Jiang Wu, Changjie Tang, Jun Zhu, Taiyong Li, Lei Duan, Chuan Li, Li Dai |
| 2007 | ICNC | Improving Selection Methods for Evolutionary Algorithms by Clustering. | Kaikuo Xu, Changjie Tang, Yintian Liu, Chuan Li, Jiang Wu, Jun Zhu, Li Dai |
| 2007 | ICSOC | Business Process Regression Testing. | Hehui Liu, Zhong Jie Li, Jun Zhu, Huafang Tan |
| 2007 | KDD | Webpage understanding: an integrated approach. | Jun Zhu, Bo Zhang, Zaiqing Nie, Ji-Rong Wen, Hsiao-Wuen Hon |
| 2006 | ICONIP | A Distributed Computing Service for Neural Networks and Its Application to Flood Peak Forecasting. | Jun Zhu, Chunbo Liu, Jianhua Gong, Daojun Wang, Tao Song |
| 2006 | ICSOC | Towards Facilitating Development of SOA Application with Design Metrics. | Wei Zhao, Ying Liu, Jun Zhu, Hui Su |
| 2006 | ISDA | Apply single-band brightness variance ratio to the interference dissociation of cloud from satellite date. | Weiping Qu, Wenqing Liu, Jianguo Liu, Yihuai Lu, Jun Zhu, Min Qin, Cheng Liu |
| 2006 | KDD | Simultaneous record detection and attribute labeling in web data extraction. | Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang, Wei-Ying Ma |
| 2005 | ICML | 2D Conditional Random Fields for Web information extraction. | Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang, Wei-Ying Ma |
| 2005 | IGARSS | Task multi-level decompose in grid-VGE. | Xian Wu, De-peng Zhao, Jianhua Gong, Jun Zhu, Jianqin Zhang, Bingli Xu |
| 2005 | IGARSS | Virtual geographic environment database design and collaboration. | Bingli Xu, Jianhua Gong, Hui Lin, Wenhang Li, Jianqin Zhang, Jun Zhu, Xian Wu |
| 2005 | IGARSS | A GI services grid for public health management and disease control. | Jianqin Zhang, Jianhua Gong, Jun Zhu, Bingli Xu, Xian Wu |
| 2005 | IGARSS | System design and implementation of remotely sensed image information services based on grid technology. | Jun Zhu, Jianhua Gong, Jianqin Zhang, Xian Wu, Bingli Xu |
| 1999 | IJCAI | Remembering to Add: Competence-preserving Case-Addition Policies for Case Base Maintenance. | Jun Zhu, Qiang Yang |
| 1999 | ISMB | Database Search Based on Bayesian Alignment. | Jun Zhu, Roland Lthy, Charles E. Lawrence |
| 1997 | ISMB | Bayesian Adaptive Alignment and Inference. | Jun Zhu, Jun S. Liu, Charles E. Lawrence |