Zhang, Jun

87 publications

ICML 2025 AdaWorld: Learning Adaptable World Models with Latent Actions Shenyuan Gao, Siyuan Zhou, Yilun Du, Jun Zhang, Chuang Gan

AAAI 2025 Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models Fei Shen, Hu Ye, Sibo Liu, Jun Zhang, Cong Wang, Xiao Han, Yang Wei

ICML 2025 C2IQL: Constraint-Conditioned Implicit Q-Learning for Safe Offline Reinforcement Learning Zifan Liu, Xinran Li, Jun Zhang

AAAI 2025 CAMSIC: Content-Aware Masked Image Modeling Transformer for Stereo Image Compression Xinjie Zhang, Shenyuan Gao, Zhening Liu, Jiawei Shao, Xingtong Ge, Dailan He, Tongda Xu, Yan Wang, Jun Zhang

NeurIPS 2025 CAS-Spec: Cascade Adaptive Self-Speculative Decoding for On-the-Fly Lossless Inference Acceleration of LLMs Zhiyuan Ning, Jiawei Shao, Ruge Xu, Xinfei Guo, Jun Zhang, Chi Zhang, Xuelong Li

ICCV 2025 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

ICLR 2025 Ensembling Diffusion Models via Adaptive Feature Aggregation Cong Wang, Kuan Tian, Yonghang Guan, Fei Shen, Zhiwei Jiang, Qing Gu, Jun Zhang

ICLR 2025 Exponential Topology-Enabled Scalable Communication in Multi-Agent Reinforcement Learning Xinran Li, Xiaolu Wang, Chenjia Bai, Jun Zhang

NeurIPS 2025 FAN: Fourier Analysis Networks Yihong Dong, Ge Li, Yongding Tao, Xue Jiang, Kechi Zhang, Jia Li, Jinliang Deng, Jing Su, Jun Zhang, Jingjing Xu

ICCV 2025 FinMMR: Make Financial Numerical Reasoning More Multimodal, Comprehensive, and Challenging Zichen Tang, Haihong E, Jiacheng Liu, Zhongjun Yang, Rongjin Li, Zihua Rong, Haoyang He, Zhuodi Hao, Xinyang Hu, Kun Ji, Ziyan Ma, Mengyuan Ji, Jun Zhang, Chenghao Ma, Qianhe Zheng, Yang Liu, Yiling Huang, Xinyi Hu, Qing Huang, Zijian Xie, Shiyao Peng

ICML 2025 FloE: On-the-Fly MoE Inference on Memory-Constrained GPU Yuxin Zhou, Zheng Li, Jun Zhang, Jue Wang, Yiping Wang, Zhongle Xie, Ke Chen, Lidan Shou

ICLR 2025 GI-GS: Global Illumination Decomposition on Gaussian Splatting for Inverse Rendering Hongze Chen, Zehong Lin, Jun Zhang

ICML 2025 HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration Yushi Huang, Zining Wang, Ruihao Gong, Jing Liu, Xinjie Zhang, Jinyang Guo, Xianglong Liu, Jun Zhang

AAAI 2025 Learn How to Query from Unlabeled Data Streams in Federated Learning Yuchang Sun, Xinran Li, Tao Lin, Jun Zhang

ICLR 2025 Let the Code LLM Edit Itself When You Edit the Code Zhenyu He, Jun Zhang, Shengjie Luo, Jingjing Xu, Zhi Zhang, Di He

ICCV 2025 MEGA: Memory-Efficient 4D Gaussian Splatting for Dynamic Scenes Xinjie Zhang, Zhening Liu, Yifan Zhang, Xingtong Ge, Dailan He, Tongda Xu, Yan Wang, Zehong Lin, Shuicheng Yan, Jun Zhang

CVPRW 2025 NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results Xiaoning Liu, Zongwei Wu, Florin-Alexandru Vasluianu, Hailong Yan, Bin Ren, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Kangbiao Shi, Yixu Feng, Tao Hu, Yu Cao, Peng Wu, Yijin Liang, Yanning Zhang, Qingsen Yan, Han Zhou, Wei Dong, Yan Min, Mohab Kishawy, Jun Chen, Pengpeng Yu, Anjin Park, Seung-Soo Lee, Young-Joon Park, Zixiao Hu, Junyv Liu, Huilin Zhang, Jun Zhang, Fei Wan, Bingxin Xu, Hongzhe Liu, Cheng Xu, Weiguo Pan, Songyin Dai, Xunpeng Yi, Qinglong Yan, Yibing Zhang, Jiayi Ma, Changhui Hu, Kerui Hu, Donghang Jing, Tiesheng Chen, Zhi Jin, Hongjun Wu, Biao Huang, Haitao Ling, Jiahao Wu, Dandan Zhan, G. Gyaneshwar Rao, Vijayalaxmi Ashok Aralikatti, Nikhil Akalwadi, Ramesh Ashok Tabib, Uma Mudenagudi, Ruirui Lin, Guoxi Huang, Nantheera Anantrasirichai, Qirui Yang, Alexandru Brateanu, Ciprian Orhei, Cosmin Ancuti, Daniel Feijoo, Juan C. Benito, Álvaro García, Marcos V. Conde, Yang Qin, Raul Balmez, Anas M. Ali, Bilel Benjdira, Wadii Boulila, Tianyi Mao, Huan Zheng, Yanyan Wei, Shengeng Tang, Dan Guo, Zhao Zhang, Sabari Nathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, Ao Li, Xiangtao Zhang, Zhe Liu, Yijie Tang, Jialong Tang, Zhicheng Fu, Gong Chen, Joe Nasti, John Nicholson, Zeyu Xiao, Zhuoyuan Li, Ashutosh Kulkarni, Prashant W. Patil, Santosh Kumar Vipparthi, Subrahmanyam Murala, Duan Liu, Weile Li, Hangyuan Lu, Rixian Liu, Tengfeng Wang, Jinxing Liang, Chenxin Yu

WACV 2025 Neural Graph mAP: Dense Mapping with Efficient Loop Closure Integration Leonard Bruns, Jun Zhang, Patric Jensfelt

ICCV 2025 P-MoD: Building Mixture-of-Depths MLLMs via Progressive Ratio Decay Jun Zhang, Desen Meng, Zhengming Zhang, Zhenpeng Huang, Tao Wu, Limin Wang

AISTATS 2025 Reinforcement Learning with Intrinsically Motivated Feedback Graph for Lost-Sales Inventory Control Zifan Liu, Xinran Li, Shibo Chen, Gen Li, Jiashuo Jiang, Jun Zhang

NeurIPS 2025 SALMONN-Omni: A Standalone Speech LLM Without Codec Injection for Full-Duplex Conversation Wenyi Yu, Siyin Wang, Xiaoyu Yang, Xianzhao Chen, Xiaohai Tian, Jun Zhang, Guangzhi Sun, Lu Lu, Yuxuan Wang, Chao Zhang

NeurIPS 2025 SMARTraj$^2$: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning Tangwen Qian, Junhe Li, Yile Chen, Gao Cong, Zezhi Shao, Jun Zhang, Tao Sun, Fei Wang, Yongjun Xu

ICLR 2025 SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration Heming Xia, Yongqi Li, Jun Zhang, Cunxiao Du, Wenjie Li

AAAI 2025 Semi-Supervised Clustering Framework for Fine-Grained Scene Graph Generation Jiarui Yang, Chuan Wang, Jun Zhang, Shuyi Wu, Jinjing Zhao, Zeming Liu, Liang Yang

ICLR 2025 Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Yang You, Guiming Xie, Xuejian Gong, Kunlong Zhou

ICLR 2025 Why Does the Effective Context Length of LLMs Fall Short? Chenxin An, Jun Zhang, Ming Zhong, Lei Li, Shansan Gong, Yao Luo, Jingjing Xu, Lingpeng Kong

NeurIPS 2024 $\texttt{ConflictBank}$: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs Zhaochen Su, Jun Zhang, Xiaoye Qu, Tong Zhu, Yanshu Li, Jiashuo Sun, Juntao Li, Min Zhang, Yu Cheng

ICLR 2024 Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models Fei Shen, Hu Ye, Jun Zhang, Cong Wang, Xiao Han, Yang Wei

NeurIPS 2024 Assembly Fuzzy Representation on Hypergraph for Open-Set 3D Object Retrieval Yang Xu, Yifan Feng, Jun Zhang, Jun-Hai Yong, Yue Gao

ECCV 2024 Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model Zhening Liu, Xinjie Zhang, Jiawei Shao, Zehong Lin, Jun Zhang

CVPR 2024 Boosting Neural Representations for Videos with a Conditional Decoder Xinjie Zhang, Ren Yang, Dailan He, Xingtong Ge, Tongda Xu, Yan Wang, Hongwei Qin, Jun Zhang

ACML 2024 Differentially Private Deep Learning with Importance-Based Adaptive Gradient Processing Ping Li, Mingwei Liang, Zhao Jiang, Jun Zhang

ECCV 2024 GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting Xinjie Zhang, Xingtong Ge, Tongda Xu, Dailan He, Yan Wang, Hongwei Qin, Guo Lu, Jing Geng, Jun Zhang

CVPR 2024 Generalized Predictive Model for Autonomous Driving Jiazhi Yang, Shenyuan Gao, Yihang Qiu, Li Chen, Tianyu Li, Bo Dai, Kashyap Chitta, Penghao Wu, Jia Zeng, Ping Luo, Jun Zhang, Andreas Geiger, Yu Qiao, Hongyang Li

ICML 2024 Individual Contributions as Intrinsic Exploration Scaffolds for Multi-Agent Reinforcement Learning Xinran Li, Zifan Liu, Shibo Chen, Jun Zhang

NeurIPS 2024 Kaleidoscope: Learnable Masks for Heterogeneous Multi-Agent Reinforcement Learning Xinran Li, Ling Pan, Jun Zhang

AAAI 2024 On the Convergence of an Adaptive Momentum Method for Adversarial Attacks Sheng Long, Wei Tao, Shuohao Li, Jun Lei, Jun Zhang

NeurIPS 2024 SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words Junyi Ao, Yuancheng Wang, Xiaohai Tian, Dekun Chen, Jun Zhang, Lu Lu, Yuxuan Wang, Haizhou Li, Zhizheng Wu

NeurIPS 2024 Semi-Open 3D Object Retrieval via Hierarchical Equilibrium on Hypergraph Yang Xu, Yifan Feng, Jun Zhang, Jun-Hai Yong, Yue Gao

CVPR 2024 Task-Aware Encoder Control for Deep Video Compression Xingtong Ge, Jixiang Luo, Xinjie Zhang, Tongda Xu, Guo Lu, Dailan He, Jing Geng, Yan Wang, Jun Zhang, Hongwei Qin

ICML 2024 Training-Free Long-Context Scaling of Large Language Models Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong

CVPR 2024 TransLoc4D: Transformer-Based 4D Radar Place Recognition Guohao Peng, Heshan Li, Yangyang Zhao, Jun Zhang, Zhenyu Wu, Pengyu Zheng, Danwei Wang

ICLR 2024 VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation Jinxi Xiang, Ricong Huang, Jun Zhang, Guanbin Li, Xiao Han, Yang Wei

NeurIPS 2024 Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability Shenyuan Gao, Jiazhi Yang, Li Chen, Kashyap Chitta, Yihang Qiu, Andreas Geiger, Jun Zhang, Hongyang Li

ECML-PKDD 2023 Attentive Multi-Layer Perceptron for Non-Autoregressive Generation Shuyang Jiang, Jun Zhang, Jiangtao Feng, Lin Zheng, Lingpeng Kong

ICML 2023 CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling Jun Zhang, Shuyang Jiang, Jiangtao Feng, Lin Zheng, Lingpeng Kong

ICLRW 2023 DABS: Data-Agnostic Backdoor Attack at the Server in Federated Learning Wenqiang Sun, Sen Li, Yuchang Sun, Jun Zhang

ICLR 2023 Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification Jinxi Xiang, Jun Zhang

CVPR 2023 Generalized Relation Modeling for Transformer Tracking Shenyuan Gao, Chunluan Zhou, Jun Zhang

WACV 2023 Graph-Based Self-Learning for Robust Person Re-Identification Yuqiao Xian, Jinrui Yang, Fufu Yu, Jun Zhang, Xing Sun

ICLR 2023 LDMIC: Learning-Based Distributed Multi-View Image Coding Xinjie Zhang, Jiawei Shao, Jun Zhang

IJCAI 2023 Locate, Refine and Restore: A Progressive Enhancement Network for Camouflaged Object Detection Xiaofei Li, Jiaxin Yang, Shuohao Li, Jun Lei, Jun Zhang, Dong Chen

ICLR 2023 MIMT: Masked Image Modeling Transformer for Video Compression Jinxi Xiang, Kuan Tian, Jun Zhang

AAAI 2023 RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang

ICLR 2023 Sparse Mixture-of-Experts Are Domain Generalizable Learners Bo Li, Yifei Shen, Jingkang Yang, Yezhen Wang, Jiawei Ren, Tong Che, Jun Zhang, Ziwei Liu

AAAI 2023 Transferable Post-Hoc Calibration on Pretrained Transformers in Noisy Text Classification Jun Zhang, Wen Yao, Xiaoqian Chen, Ling Feng

NeurIPS 2022 DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang

NeurIPS 2022 Multi-Dataset Training of Transformers for Robust Action Recognition Junwei Liang, Enwei Zhang, Jun Zhang, Chunhua Shen

CVPR 2022 Node-Aligned Graph Convolutional Network for Whole-Slide Image Representation and Classification Yonghang Guan, Jun Zhang, Kuan Tian, Sen Yang, Pei Dong, Jinxi Xiang, Wei Yang, Junzhou Huang, Yuyao Zhang, Xiao Han

NeurIPS 2022 PyramidCLIP: Hierarchical Feature Alignment for Vision-Language Model Pretraining Yuting Gao, Jinfeng Liu, Zihan Xu, Jun Zhang, Ke Li, Rongrong Ji, Chunhua Shen

NeurIPS 2022 SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification Xiyue Wang, Jinxi Xiang, Jun Zhang, Sen Yang, Zhongyi Yang, Ming-Hui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han

NeurIPSW 2022 Sparse Mixture-of-Experts Are Domain Generalizable Learners Bo Li, Yifei Shen, Jingkang Yang, Yezhen Wang, Jiawei Ren, Tong Che, Jun Zhang, Ziwei Liu

CVPRW 2022 Stargazer: A Transformer-Based Driver Action Detection System for Intelligent Transportation Junwei Liang, He Zhu, Enwei Zhang, Jun Zhang

NeurIPS 2022 Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval Chengzhi Lin, Ancong Wu, Junwei Liang, Jun Zhang, Wenhang Ge, Wei-Shi Zheng, Chunhua Shen

IJCAI 2021 A Comprehensive Survey on Image Dehazing Based on Deep Learning Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Dacheng Tao

ICCV 2021 Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval with Partial Query Guanyu Cai, Jun Zhang, Xinyang Jiang, Yifei Gong, Lianghua He, Fufu Yu, Pai Peng, Xiaowei Guo, Feiyue Huang, Xing Sun

ICCV 2021 Attentional Pyramid Pooling of Salient Visual Residuals for Place Recognition Guohao Peng, Jun Zhang, Heshan Li, Danwei Wang

AAAI 2021 Diagnose like a Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring Zhen Chen, Jun Zhang, Shuanlong Che, Junzhou Huang, Xiao Han, Yixuan Yuan

AAAI 2021 Exploiting Behavioral Consistence for Universal User Representation Jie Gu, Feng Wang, Qinghui Sun, Zhiquan Ye, Xiaoxiao Xu, Jingmin Chen, Jun Zhang

CVPR 2021 Learning 3D Shape Feature for Texture-Insensitive Person Re-Identification Jiaxing Chen, Xinyang Jiang, Fudong Wang, Jun Zhang, Feng Zheng, Xing Sun, Wei-Shi Zheng

AAAI 2021 Minimizing Labeling Cost for Nuclei Instance Segmentation and Classification with Cross-Domain Images and Weak Labels Siqi Yang, Jun Zhang, Junzhou Huang, Brian C. Lovell, Xiao Han

UAI 2020 Complete Dictionary Learning via $\ell_p$-Norm Maximization Yifei Shen, Ye Xue, Jun Zhang, Khaled Letaief, Vincent Lau

ECCV 2020 Do Not Disturb Me: Person Re-Identification Under the Interference of Other Pedestrians Shizhen Zhao, Changxin Gao, Jun Zhang, Hao Cheng, Chuchu Han, Xinyang Jiang, Xiaowei Guo, Wei-Shi Zheng, Nong Sang, Xing Sun

NeurIPSW 2020 From EM-Projections to Variational Auto-Encoder Tian Han, Jun Zhang, Ying Nian Wu

ECCV 2020 GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang

CVPRW 2016 Fast and Accurate Registration of Structured Point Clouds with Small Overlaps Yanxin Ma, Yulan Guo, Jian Zhao, Min Lu, Jun Zhang, Jianwei Wan

IJCAI 2015 Saliency Detection with a Deeper Investigation of Light Field Jun Zhang, Meng Wang, Jun Gao, Yi Wang, Xudong Zhang, Xindong Wu

AAAI 2014 Learning Temporal Dynamics of Behavior Propagation in Social Networks Jun Zhang, Chaokun Wang, Jianmin Wang

ECCV 2012 A New Biologically Inspired Color Image Descriptor Jun Zhang, Youssef Barhomi, Thomas Serre

CVPR 2011 Exploring Aligned Complementary Image Pair for Blind Motion Deblurring Wen Li, Jun Zhang, Qionghai Dai

JMLR 2009 Reproducing Kernel Banach Spaces for Machine Learning Haizhang Zhang, Yuesheng Xu, Jun Zhang

ALT 2005 Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources Doina Caragea, Jun Zhang, Jie Bao, Jyotishman Pathak, Vasant G. Honavar

NeCo 2004 Divergence Function, Duality, and Convex Analysis Jun Zhang

ICML 2003 Learning from Attribute Value Taxonomies and Partially Specified Instances Jun Zhang, Vasant G. Honavar

NeCo 1991 Dynamics and Formation of Self-Organizing Maps Jun Zhang

CVPR 1989 A Markov Random Field Model-Based Approach to Image Interpretation James W. Modestino, Jun Zhang

NeurIPS 1988 A Model for Resolution Enhancement (Hyperacuity) in Sensory Representation Jun Zhang, John P. Miller