Wang, Gang

120 publications

ICLR 2026 Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents Tiannuo Yang, Zebin Yao, Bowen Jin, Lixiao Cui, Yusen Li, Gang Wang, Xiaoguang Liu, Willie Neiswanger

ICLR 2026 Hierarchical Value-Decomposed Offline Reinforcement Learning for Whole-Body Control Zhilong Zhang, Yunpeng Mei, Xinghao Du, Hongjie Cao, Haonan Wang, Pengyuan Min, Chenyu Wang, Pengfei Chen, Chenbo Xin, Yijie Wang, Wenyu Luo, Yihao Sun, Yidi Wang, Lei Yuan, Gang Wang, Yang Yu

ICLR 2026 Instance-Wise Adaptive Scheduling via Derivative-Free Meta-Learning Hefang Qing, Miao Zhang, Yaoxin Wu, Weinan Huang, Jianhao Yang, Wen Song, Gang Wang

ICLR 2026 Mixture-of-World Models: Scaling Multi-Task Reinforcement Learning with Modular Latent Dynamics Boxuan Zhang, Weipu Zhang, Zhaohan Feng, Wei Xiao, Jian Sun, Jie Chen, Gang Wang

ICLR 2026 Object-Centric World Models from Few-Shot Annotations for Sample-Efficient Reinforcement Learning Weipu Zhang, Adam Jelley, Trevor McInroe, Amos Storkey, Gang Wang

ICML 2025 A Chaotic Dynamics Framework Inspired by Dorsal Stream for Event Signal Processing Yu Chen, Jing Lian, Zhaofei Yu, Jizhao Liu, Jisheng Dang, Gang Wang

NeurIPS 2025 DyMoDreamer: World Modeling with Dynamic Modulation Boxuan Zhang, Runqing Wang, Wei Xiao, Weipu Zhang, Jian Sun, Gao Huang, Jie Chen, Gang Wang

AAAI 2025 EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models Guanghao Meng, Sunan He, Jinpeng Wang, Tao Dai, Letian Zhang, Jieming Zhu, Qing Li, Gang Wang, Rui Zhang, Yong Jiang

ICCV 2025 Federated Representation Angle Learning Liping Yi, Han Yu, Gang Wang, Xiaoguang Liu, Xiaoxiao Li

ICLRW 2025 GRASP: GRAph-Structured Pyramidal Whole Slide Image Representation Ali Khajegili Mirabadi, Graham AD Archibald, Amirali Darbandsari, Alberto Contreras-Sanz, Ramin Nakhli, Maryam Asadi, Allen W Zhang, Blake Gilks, Peter Colin Black, Gang Wang, Hossein Farahani, Ali Bashashati

AAAI 2025 Genomics Data Lossless Compression with (s, K)-Mer Encoding and Deep Neural Networks Hui Sun, Liping Yi, Huidong Ma, Yongxia Sun, Yingfeng Zheng, Wenwen Cui, Meng Yan, Gang Wang, Xiaoguang Liu

CVPR 2025 JTD-UAV: MLLM-Enhanced Joint Tracking and Description Framework for Anti-UAV Systems Yifan Wang, Jian Zhao, Zhaoxin Fan, Xin Zhang, Xuecheng Wu, Yudian Zhang, Lei Jin, Xinyue Li, Gang Wang, Mengxi Jia, Ping Hu, Zheng Zhu, Xuelong Li

IJCAI 2025 Optical Flow Estimation for Tiny Objects: New Problem, Specialized Benchmark, and Bioinspired Scheme Xueyao Ji, Gang Wang, Yizheng Wang

ICLR 2025 Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen

NeurIPS 2025 PurpCode: Reasoning for Safer Code Generation Jiawei Liu, Nirav Diwan, Zhe Wang, Haoyu Zhai, Xiaona Zhou, Kiet A. Nguyen, Tianjiao Yu, Muntasir Wahed, Yinlin Deng, Hadjer Benkraouda, Yuxiang Wei, Lingming Zhang, Ismini Lourentzou, Gang Wang

IJCAI 2025 SepALM: Audio Language Models Are Error Correctors for Robust Speech Separation Zhaoxi Mu, Xinyu Yang, Gang Wang

CVPR 2025 Steering Away from Harm: An Adaptive Approach to Defending Vision Language Model Against Jailbreaks Han Wang, Gang Wang, Huan Zhang

ICLRW 2025 The Emperor's New Clothes in Benchmarking? a Rigorous Examination of Mitigation Strategies for LLM Benchmark Data Contamination Yifan Sun, Han Wang, Dongbai Li, Gang Wang, Huan Zhang

ICML 2025 The Emperor’s New Clothes in Benchmarking? a Rigorous Examination of Mitigation Strategies for LLM Benchmark Data Contamination Yifan Sun, Han Wang, Dongbai Li, Gang Wang, Huan Zhang

ICCV 2025 Tracking Tiny Drones Against Clutter: Large-Scale Infrared Benchmark with Motion-Centric Adaptive Algorithm Jiahao Zhang, Zongli Jiang, Jinli Zhang, Yixin Wei, Liang Li, Yizheng Wang, Gang Wang

AAAI 2025 pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning Liping Yi, Han Yu, Chao Ren, Gang Wang, Xiaoguang Liu, Xiaoxiao Li

AAAI 2024 DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection Mingjiang Duan, Tongya Zheng, Yang Gao, Gang Wang, Zunlei Feng, Xinyu Wang

NeurIPSW 2024 Enhancing Causal Discovery in Federated Settings with Limited Local Samples Xianjie Guo, Liping Yi, Xiaohu Wu, Kui Yu, Gang Wang

IJCAI 2024 FedSSA: Semantic Similarity-Based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning Liping Yi, Han Yu, Zhuan Shi, Gang Wang, Xiaoguang Liu, Lizhen Cui, Xiaoxiao Li

NeurIPS 2024 Federated Model Heterogeneous Matryoshka Representation Learning Liping Yi, Han Yu, Chao Ren, Gang Wang, Xiaoguang Liu, Xiaoxiao Li

AAAI 2024 Multi-Constellation-Inspired Single-Shot Global LiDAR Localization Tongzhou Zhang, Gang Wang, Yu Chen, Hai Zhang, Jue Hu

CVPRW 2024 Multi-Scale Attention Network for Single Image Super-Resolution Yan Wang, Yusen Li, Gang Wang, Xiaoguang Liu

ICLRW 2024 Neural Retrievers Are Biased Towards LLM-Generated Content Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Gang Wang, Jun Xu

CVPRW 2024 Practical Region-Level Attack Against Segment Anything Models Yifan Shen, Zhengyuan Li, Gang Wang

ICML 2024 RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation Zelei Cheng, Xian Wu, Jiahao Yu, Sabrina Yang, Gang Wang, Xinyu Xing

IJCAI 2024 Unified Single-Stage Transformer Network for Efficient RGB-T Tracking Jianqiang Xia, Dianxi Shi, Ke Song, Linna Song, Xiaolei Wang, Songchang Jin, Chenran Zhao, Yu Cheng, Lei Jin, Zheng Zhu, Jianan Li, Gang Wang, Junliang Xing, Jian Zhao

NeurIPS 2024 Weak-Eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles Qi Chen, Bowen Zhang, Gang Wang, Qi Wu

IJCAI 2023 JEPOO: Highly Accurate Joint Estimation of Pitch, Onset and Offset for Music Information Retrieval Haojie Wei, Jun Yuan, Rui Zhang, Yueguo Chen, Gang Wang

ICLR 2023 Out-of-Distribution Detection Based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy Jinsong Zhang, Qiang Fu, Xu Chen, Lun Du, Zelin Li, Gang Wang, Xiaoguang Liu, Shi Han, Dongmei Zhang

NeurIPS 2023 STORM: Efficient Stochastic Transformer Based World Models for Reinforcement Learning Weipu Zhang, Gang Wang, Jian Sun, Yetian Yuan, Gao Huang

CVPRW 2023 Video Tiny-Object Detection Guided by the Spatial-Temporal Motion Information Xin Yang, Gang Wang, Weiming Hu, Jin Gao, Shubo Lin, Liang Li, Kai Gao, Yizheng Wang

NeurIPS 2023 ZoomTrack: Target-Aware Non-Uniform Resizing for Efficient Visual Tracking Yutong Kou, Jin Gao, Bing Li, Gang Wang, Weiming Hu, Yizheng Wang, Liang Li

CVPR 2022 Knowledge Distillation via the Target-Aware Transformer Sihao Lin, Hongwei Xie, Bing Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang, Gang Wang

IJCAI 2022 Learning from Students: Online Contrastive Distillation Network for General Continual Learning Jin Li, Zhong Ji, Gang Wang, Qiang Wang, Feng Gao

NeurIPS 2021 Collaborative Uncertainty in Multi-Agent Trajectory Forecasting Bohan Tang, Yiqi Zhong, Ulrich Neumann, Gang Wang, Siheng Chen, Ya Zhang

CVPRW 2021 Multi-Camera Vehicle Tracking System Based on Spatial-Temporal Filtering Pengfei Ren, Kang Lu, Yu Yang, Yun Yang, Guangze Sun, Wei Wang, Gang Wang, Junliang Cao, Zhifeng Zhao, Wei Liu

CVPRW 2021 Progressive Data Mining and Adaptive Weighted Multi-Model Ensemble for Vehicle Re-Identification Yongli Sun, Wenpeng Li, Hua Wei, Longtao Zhang, Jiahao Tian, Guangze Sun, Gang Wang, Junliang Cao, Zhifeng Zhao, Junfeng Ding

ECCV 2020 DA4AD: End-to-End Deep Attention-Based Visual Localization for Autonomous Driving Yao Zhou, Guowei Wan, Shenhua Hou, Li Yu, Gang Wang, Xiaofei Rui, Shiyu Song

WACV 2020 DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation Ping Hu, Jun Liu, Gang Wang, Vitaly Ablavsky, Kate Saenko, Stan Sclaroff

NeurIPS 2020 Decentralized TD Tracking with Linear Function Approximation and Its Finite-Time Analysis Gang Wang, Songtao Lu, Georgios Giannakis, Gerald Tesauro, Jian Sun

AISTATS 2020 Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation Jun Sun, Gang Wang, Georgios B. Giannakis, Qinmin Yang, Zaiyue Yang

AISTATS 2020 Finite-Time Error Bounds for Biased Stochastic Approximation with Applications to Q-Learning Gang Wang, Georgios B. Giannakis

ICCV 2019 Boundary-Aware Feature Propagation for Scene Segmentation Henghui Ding, Xudong Jiang, Ai Qun Liu, Nadia Magnenat Thalmann, Gang Wang

AAAI 2019 Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks Steve T. K. Jan, Joseph Messou, Yen-Chen Lin, Jia-Bin Huang, Gang Wang

AAAI 2019 Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks Chang Xu, Weiran Huang, Hongwei Wang, Gang Wang, Tie-Yan Liu

ACML 2019 Multi-Branch Siamese Network for High Performance Online Visual Tracking Junfei Zhuang, Yuan Dong, Hongliang Bai, Gang Wang

IJCAI 2019 Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation Models Chang Xu, Tao Qin, Gang Wang, Tie-Yan Liu

CVPR 2019 Semantic Correlation Promoted Shape-Variant Context for Segmentation Henghui Ding, Xudong Jiang, Bing Shuai, Ai Qun Liu, Gang Wang

ICCV 2019 Unpaired Image Captioning via Scene Graph Alignments Jiuxiang Gu, Shafiq Joty, Jianfei Cai, Handong Zhao, Xu Yang, Gang Wang

CVPR 2018 A Bi-Directional Message Passing Model for Salient Object Detection Lu Zhang, Ju Dai, Huchuan Lu, You He, Gang Wang

CVPR 2018 Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation Henghui Ding, Xudong Jiang, Bing Shuai, Ai Qun Liu, Gang Wang

CVPR 2018 Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-Identification Jianlou Si, Honggang Zhang, Chun-Guang Li, Jason Kuen, Xiangfei Kong, Alex C. Kot, Gang Wang

ECCV 2018 Graininess-Aware Deep Feature Learning for Pedestrian Detection Chunze Lin, Jiwen Lu, Gang Wang, Jie Zhou

CVPR 2018 Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models Jiuxiang Gu, Jianfei Cai, Shafiq R. Joty, Li Niu, Gang Wang

CVPR 2018 Motion-Guided Cascaded Refinement Network for Video Object Segmentation Ping Hu, Gang Wang, Xiangfei Kong, Jason Kuen, Yap-Peng Tan

CVPR 2018 Person Re-Identification with Cascaded Pairwise Convolutions Yicheng Wang, Zhenzhong Chen, Feng Wu, Gang Wang

CVPR 2018 Progressive Attention Guided Recurrent Network for Salient Object Detection Xiaoning Zhang, Tiantian Wang, Jinqing Qi, Huchuan Lu, Gang Wang

CVPR 2018 SSNet: Scale Selection Network for Online 3D Action Prediction Jun Liu, Amir Shahroudy, Gang Wang, Ling-Yu Duan, Alex C. Kot

AAAI 2018 Stack-Captioning: Coarse-to-Fine Learning for Image Captioning Jiuxiang Gu, Jianfei Cai, Gang Wang, Tsuhan Chen

CVPR 2018 Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks Jason Kuen, Xiangfei Kong, Zhe Lin, Gang Wang, Jianxiong Yin, Simon See, Yap-Peng Tan

ECCV 2018 Unpaired Image Captioning by Language Pivoting Jiuxiang Gu, Shafiq Joty, Jianfei Cai, Gang Wang

ICCV 2017 An Empirical Study of Language CNN for Image Captioning Jiuxiang Gu, Gang Wang, Jianfei Cai, Tsuhan Chen

ICCV 2017 Blob Reconstruction Using Unilateral Second Order Gaussian Kernels with Application to High-ISO Long-Exposure Image Denoising Gang Wang, Carlos Lopez-Molina, Bernard De Baets

CVPR 2017 Deep Level Sets for Salient Object Detection Ping Hu, Bing Shuai, Jun Liu, Gang Wang

ICCVW 2017 DelugeNets: Deep Networks with Efficient and Flexible Cross-Layer Information Inflows Jason Kuen, Xiangfei Kong, Gang Wang, Yap-Peng Tan

CVPR 2017 Episodic CAMN: Contextual Attention-Based Memory Networks with Iterative Feedback for Scene Labeling Abrar H. Abdulnabi, Bing Shuai, Stefan Winkler, Gang Wang

CVPR 2017 Global Context-Aware Attention LSTM Networks for 3D Action Recognition Jun Liu, Gang Wang, Ping Hu, Ling-Yu Duan, Alex C. Kot

NeurIPS 2017 Solving Most Systems of Random Quadratic Equations Gang Wang, Georgios Giannakis, Yousef Saad, Jie Chen

ECCV 2016 A Siamese Long Short-Term Memory Architecture for Human Re-Identification Rahul Rama Varior, Bing Shuai, Jiwen Lu, Dong Xu, Gang Wang

CVPR 2016 Context-Aware Gaussian Fields for Non-Rigid Point Set Registration Gang Wang, Zhicheng Wang, Yufei Chen, Qiangqiang Zhou, Weidong Zhao

CVPR 2016 DAG-Recurrent Neural Networks for Scene Labeling Bing Shuai, Zhen Zuo, Bing Wang, Gang Wang

ECCV 2016 Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification Rahul Rama Varior, Mrinal Haloi, Gang Wang

CVPRW 2016 Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association Bing Wang, Li Wang, Bing Shuai, Zhen Zuo, Ting Liu, Kap Luk Chan, Gang Wang

ECCV 2016 Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks Jinghua Wang, Zhenhua Wang, Dacheng Tao, Simon See, Gang Wang

CVPR 2016 NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis Amir Shahroudy, Jun Liu, Tian-Tsong Ng, Gang Wang

ECCV 2016 Real-Time RGB-D Activity Prediction by Soft Regression Jianfang Hu, Wei-Shi Zheng, Lianyang Ma, Gang Wang, Jian-Huang Lai

CVPR 2016 Recurrent Attentional Networks for Saliency Detection Jason Kuen, Zhenhua Wang, Gang Wang

NeurIPS 2016 Solving Random Systems of Quadratic Equations via Truncated Generalized Gradient Flow Gang Wang, Georgios Giannakis

ECCV 2016 Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition Jun Liu, Amir Shahroudy, Dong Xu, Gang Wang

CVPRW 2015 Convolutional Recurrent Neural Networks: Learning Spatial Dependencies for Image Representation Zhen Zuo, Bing Shuai, Gang Wang, Xiao Liu, Xingxing Wang, Bing Wang, Yushi Chen

CVPR 2015 Deep Hashing for Compact Binary Codes Learning Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin, Jie Zhou

CVPR 2015 Integrating Parametric and Non-Parametric Models for Scene Labeling Bing Shuai, Gang Wang, Zhen Zuo, Bing Wang, Lifan Zhao

CVPR 2015 Multi-Manifold Deep Metric Learning for Image Set Classification Jiwen Lu, Gang Wang, Weihong Deng, Pierre Moulin, Jie Zhou

CVPR 2015 Real-Time Part-Based Visual Tracking via Adaptive Correlation Filters Ting Liu, Gang Wang, Qingxiong Yang

CVPR 2014 DL-SFA: Deeply-Learned Slow Feature Analysis for Action Recognition Lin Sun, Kui Jia, Tsung-Han Chan, Yuqiang Fang, Gang Wang, Shuicheng Yan

ECCV 2014 Learning Discriminative and Shareable Features for Scene Classification Zhen Zuo, Gang Wang, Bing Shuai, Lifan Zhao, Qingxiong Yang, Xudong Jiang

ECCV 2014 Multi-Modal Unsupervised Feature Learning for RGB-D Scene Labeling Anran Wang, Jiwen Lu, Gang Wang, Jianfei Cai, Tat-Jen Cham

ECCV 2014 Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition Jiwen Lu, Gang Wang, Weihong Deng, Pierre Moulin

ECCV 2014 Spatiotemporal Background Subtraction Using Minimum Spanning Tree and Optical Flow Mingliang Chen, Qingxiong Yang, Qing Li, Gang Wang, Ming-Hsuan Yang

CVPRW 2014 Tracklet Association in Detect-Then-Track Paradigm for Long-Term Multi-Person Tracking Bing Wang, Gang Wang, Kap Luk Chan, Li Wang

CVPR 2014 Tracklet Association with Online Target-Specific Metric Learning Bing Wang, Gang Wang, Kap Luk Chan, Li Wang

ICCV 2013 Image Set Classification Using Holistic Multiple Order Statistics Features and Localized Multi-Kernel Metric Learning Jiwen Lu, Gang Wang, Pierre Moulin

ICCV 2013 Learning to Share Latent Tasks for Action Recognition Qiang Zhou, Gang Wang, Kui Jia, Qi Zhao

ECCV 2012 Atomic Action Features: A New Feature for Action Recognition Qiang Zhou, Gang Wang

ECCVW 2012 Atomic Action Features: A New Feature for Action Recognition Qiang Zhou, Gang Wang

ECCV 2012 Human-Centric Indoor Environment Modeling from Depth Videos Jiwen Lu, Gang Wang

ECCVW 2012 Human-Centric Indoor Environment Modeling from Depth Videos Jiwen Lu, Gang Wang

ECCV 2012 Learning to Recognize Unsuccessful Activities Using a Two-Layer Latent Structural Model Qiang Zhou, Gang Wang

CVPR 2012 Neighborhood Repulsed Metric Learning for Kinship Verification Jiwen Lu, Junlin Hu, Xiuzhuang Zhou, Yuanyuan Shang, Yap-Peng Tan, Gang Wang

ICCV 2011 Discriminative Multi-Manifold Analysis for Face Recognition from a Single Training Sample per Person Jiwen Lu, Yap-Peng Tan, Gang Wang

IJCAI 2011 Distance Metric Learning Under Covariate Shift Bin Cao, Xiaochuan Ni, Jian-Tao Sun, Gang Wang, Qiang Yang

CVPR 2010 Comparative Object Similarity for Improved Recognition with Few or No Examples Gang Wang, David A. Forsyth, Derek Hoiem

ECCV 2010 Seeing People in Social Context: Recognizing People and Social Relationships Gang Wang, Andrew C. Gallagher, Jiebo Luo, David A. Forsyth

CVPR 2009 Building Text Features for Object Image Classification Gang Wang, Derek Hoiem, David A. Forsyth

ICCV 2009 Joint Learning of Visual Attributes, Object Classes and Visual Saliency Gang Wang, David A. Forsyth

ICCV 2009 Learning Image Similarity from Flickr Groups Using Stochastic Intersection Kernel MAchines Gang Wang, Derek Hoiem, David A. Forsyth

CVPR 2008 Object Image Retrieval by Exploiting Online Knowledge Resources Gang Wang, David A. Forsyth

AAAI 2008 Semi-Supervised Classification Using Local and Global Regularization Fei Wang, Tao Li, Gang Wang, Changshui Zhang

ICML 2007 A Kernel Path Algorithm for Support Vector Machines Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky

CVPR 2007 OPTIMOL: Automatic Online Picture collecTion via Incremental MOdel Learning Li-Jia Li, Gang Wang, Li Fei-Fei

AISTATS 2007 The Kernel Path in Kernelized LASSO Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky

ICML 2006 Two-Dimensional Solution Path for Support Vector Regression Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky

CVPR 2006 Using Dependent Regions for Object Categorization in a Generative Framework Gang Wang, Ye Zhang, Li Fei-Fei

ECML-PKDD 2005 Annealed Discriminant Analysis Gang Wang, Zhihua Zhang, Frederick H. Lochovsky

ICML 1999 Hierarchical Optimization of Policy-Coupled Semi-Markov Decision Processes Gang Wang, Sridhar Mahadevan