A dual-kernel-based tracking approach for visual target. - Canlong Zhang; Zhongliang Jing; Bo Jin 003; Zhixin Li 001 (Sci. China Inf. Sci., 2012)

Locally discriminative stable model for visual tracking with clustering and principle component analysis. - Canlong Zhang; Zhongliang Jing; Yanping Tang; Bo Jin 003; Gang Xiao (IET Comput. Vis., 2013)

A sparse proximal Newton splitting method for constrained image deblurring. - Han Pan; Zhongliang Jing; Ming Lei; Rongli Liu; Bo Jin 003; Canlong Zhang (Neurocomputing, 2013)

Robust visual tracking using discriminative stable regions and K-means clustering. - Canlong Zhang; Zhongliang Jing; Han Pan; Bo Jin 003; Zhixin Li 001 (Neurocomputing, 2013)

Generalized proximal conjugate gradient method for image deblurring. - Han Pan; Zhongliang Jing; Zhizhong Huang; Bo Jin 003 (ICCA, 2014)

Multi-modality Image Fusion via Generalized Riesz-wavelet Transformation. - Bo Jin 003; Zhongliang Jing; Han Pan (KSII Trans. Internet Inf. Syst., 2014)

Robust visual multitask tracking via composite sparse model. - Bo Jin 003; Zhongliang Jing; Meng Wang; Han Pan (J. Electronic Imaging, 2014)

On Modeling and Predicting Individual Paper Citation Count over Time. - Shuai Xiao 002; Junchi Yan; Changsheng Li; Bo Jin 003; Xiangfeng Wang; Xiaokang Yang 001; Stephen M. Chu; Hongyuan Zha (IJCAI, 2016)

Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior. - Junchi Yan; Shuai Xiao 002; Changsheng Li; Bo Jin 003; Xiangfeng Wang; Bin Ke; Xiaokang Yang 001; Hongyuan Zha (IJCAI, 2016)

A compressive tracking based on time-space Kalman fusion model. - Xiao Yun; Zhongliang Jing; Gang Xiao; Bo Jin 003; Canlong Zhang (Sci. China Inf. Sci., 2016)

Incremental and Decremental Extreme Learning Machine Based on Generalized Inverse. - Bo Jin 003; Zhongliang Jing; Haitao Zhao 002 (IEEE Access, 2017)

Learning to Detect Pathogenic Microorganism of Community-acquired Pneumonia. - Wenwei Liang; Wei Zhang 056; Bo Jin 003; Jiangjiang Xu; Linhua Shu; Hongyuan Zha (SIGIR, 2018)

Sequential Fault Diagnosis Based on LSTM Neural Network. - Haitao Zhao 002; Shaoyuan Sun; Bo Jin 003 (IEEE Access, 2018)

SparseMAAC: Sparse Attention for Multi-agent Reinforcement Learning. - Wenhao Li 001; Bo Jin 003; Xiangfeng Wang (DASFAA Workshops, 2019)

Accelerate Black-Box Attack with White-Box Prior Knowledge. - Jinghui Cai; Boyang Wang; Xiangfeng Wang; Bo Jin 003 (IScIDE (2), 2019)

Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning. - Xuan Liao; Wenhao Li 001; Qisen Xu; Xiangfeng Wang; Bo Jin 003; Xiaoyun Zhang 001; Yanfeng Wang 001; Ya Zhang 002 (CVPR, 2020)

Low Rank Communication for Federated Learning. - Huachi Zhou; Junhong Cheng; Xiangfeng Wang; Bo Jin 003 (DASFAA (Workshops), 2020)

VSB2-Net: Visual-Semantic Bi-Branch Network for Zero-Shot Hashing. - Xin Li; Xiangfeng Wang; Bo Jin 003; Wenjie Zhang; Jun Wang 006; Hongyuan Zha (ICPR, 2020)

Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning. - Junjie Wang; Xiangfeng Wang; Bo Jin 003; Junchi Yan; Wenjie Zhang; Hongyuan Zha (ICPR, 2020)

Visual-to-Semantic Hashing for Zero Shot Learning. - Xin Li; Xiaoyue Wen; Bo Jin 003; Xiangfeng Wang; Junjie Wang; Jinghui Cai (IJCNN, 2020)

Hyper-Meta Reinforcement Learning with Sparse Reward. - Yun Hua; Xiangfeng Wang; Bo Jin 003; Wenhao Li 001; Junchi Yan; Xiaofeng He; Hongyuan Zha (CoRR, 2020)

Structured Diversification Emergence via Reinforced Organization Control and Hierachical Consensus Learning. - Wenhao Li 001; Xiangfeng Wang; Bo Jin 003; Junjie Sheng; Yun Hua; Hongyuan Zha (AAMAS, 2021)

Semi-supervised Medical Image Segmentation with Confidence Calibration. - Qisen Xu; Qian Wu; Yiqiu Hu; Bo Jin 003; Bin Hu; Fengping Zhu; Yuxin Li; Xiangfeng Wang (IJCNN, 2021)

HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem. - Yun Hua; Xiangfeng Wang; Bo Jin 003; Wenhao Li 001; Junchi Yan; Xiaofeng He; Hongyuan Zha (KDD, 2021)

Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning. - Wenhao Li 001; Xiangfeng Wang; Bo Jin 003; Junjie Sheng; Yun Hua; Hongyuan Zha (CoRR, 2021)

Dealing with Non-Stationarity in Multi-Agent Reinforcement Learning via Trust Region Decomposition. - Wenhao Li 001; Xiangfeng Wang; Bo Jin 003; Junjie Sheng; Hongyuan Zha (CoRR, 2021)

Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration. - Wenhao Li 001; Qisen Xu; Chuyun Shen; Bin Hu; Fengping Zhu; Yuxin Li; Bo Jin 003; Xiangfeng Wang (CoRR, 2021)

VMAgent: Scheduling Simulator for Reinforcement Learning. - Junjie Sheng; Shengliang Cai; Haochuan Cui; Wenhao Li 001; Yun Hua; Bo Jin 003; Wenli Zhou; Yiqiu Hu; Lei Zhu; Qian Peng; Hongyuan Zha; Xiangfeng Wang (CoRR, 2021)

Distributed and Parallel ADMM for Structured Nonconvex Optimization Problem. - Xiangfeng Wang; Junchi Yan; Bo Jin 003; Wenhao Li 001 (IEEE Trans. Cybern., 2021)

Boundary-Aware Supervoxel-Level Iteratively Refined Interactive 3D Image Segmentation With Multi-Agent Reinforcement Learning. - Chaofan Ma; Qisen Xu; Xiangfeng Wang; Bo Jin 003; Xiaoyun Zhang 001; Yanfeng Wang 001; Ya Zhang 002 (IEEE Trans. Medical Imaging, 2021)

CLD-Net: Complement Local Detail For Medical Small-Object Segmentation. - Rui Chen; Xiangfeng Wang; Bo Jin 003; Jiaqi Tu; Fengping Zhu; Yuxin Li (BIBM, 2022)

ReAssigner: A Plug-and-Play Virtual Machine Scheduling Intensifier for Heterogeneous Requests. - Haochuan Cui; Junjie Sheng; Bo Jin 003; Yiqiu Hu; Li Su; Lei Zhu; Wenli Zhou; Xiangfeng Wang (IEEE Big Data, 2022)

Obtaining Dyadic Fairness by Optimal Transport. - Moyi Yang; Junjie Sheng; Wenyan Liu 001; Bo Jin 003; Xiaoling Wang 004; Xiangfeng Wang (IEEE Big Data, 2022)

Weighted Mean-Field Multi-Agent Reinforcement Learning via Reward Attribution Decomposition. - Ting Wu 001; Wenhao Li 001; Bo Jin 003; Wei Zhang 056; Xiangfeng Wang (DASFAA (Workshops), 2022)

Dealing with Non-Stationarity in MARL via Trust-Region Decomposition. - Wenhao Li 001; Xiangfeng Wang; Bo Jin 003; Junjie Sheng; Hongyuan Zha (ICLR, 2022)

Multi-Agent Path Finding with Prioritized Communication Learning. - Wenhao Li 001; Hongjun Chen; Bo Jin 003; Wenzhe Tan; Hongyuan Zha; Xiangfeng Wang (ICRA, 2022)

VMAgent: A Practical Virtual Machine Scheduling Platform. - Junjie Sheng; Shengliang Cai; Haochuan Cui; Wenhao Li 001; Yun Hua; Bo Jin 003; Wenli Zhou; Yiqiu Hu; Lei Zhu; Qian Peng; Hongyuan Zha; Xiangfeng Wang (IJCAI, 2022)

Learning structured communication for multi-agent reinforcement learning. - Junjie Sheng; Xiangfeng Wang; Bo Jin 003; Junchi Yan; Wenhao Li 001; Tsung-Hui Chang; Jun Wang 006; Hongyuan Zha (Auton. Agents Multi Agent Syst., 2022)

Obtaining Dyadic Fairness by Optimal Transport. - Moyi Yang; Junjie Sheng; Xiangfeng Wang; Wenyan Liu 001; Bo Jin 003; Jun Wang 006; Hongyuan Zha (CoRR, 2022)

Mitigating disparate impact on model accuracy in differentially private learning. - Wenyan Liu 001; Xiangfeng Wang; Haikun Zheng; Bo Jin 003; Xiaoling Wang 004; Hongyuan Zha (Inf. Sci., 2022)

Structured Cooperative Reinforcement Learning With Time-Varying Composite Action Space. - Wenhao Li 001; Xiangfeng Wang; Bo Jin 003; Dijun Luo; Hongyuan Zha (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Learning to schedule multi-NUMA virtual machines via reinforcement learning. - Junjie Sheng; Yiqiu Hu; Wenli Zhou; Lei Zhu; Bo Jin 003; Jun Wang 006; Xiangfeng Wang (Pattern Recognit., 2022)

Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas. - Yun Hua; Shang Gao; Wenhao Li 001; Bo Jin 003; Xiangfeng Wang; Hongyuan Zha (AAMAS, 2023)

Hierarchical Diffusion for Offline Decision Making. - Wenhao Li 001; Xiangfeng Wang; Bo Jin 003; Hongyuan Zha (ICML, 2023)

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. - Junjie Sheng; Lu Wang 029; Fangkai Yang; Bo Qiao 001; Hang Dong 004; Xiangfeng Wang; Bo Jin 003; Jun Wang 006; Si Qin; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (WWW, 2023)

Learning Roles with Emergent Social Value Orientations. - Wenhao Li 001; Xiangfeng Wang; Bo Jin 003; Jingyi Lu; Hongyuan Zha (CoRR, 2023)

Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning. - Wenhao Li 001; Dan Qiao; Baoxiang Wang 001; Xiangfeng Wang; Bo Jin 003; Hongyuan Zha (CoRR, 2023)

Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym. - Junjie Sheng; Zixiao Huang; Chuyun Shen; Wenhao Li 001; Yun Hua; Bo Jin 003; Hongyuan Zha; Xiangfeng Wang (CoRR, 2023)

F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning. - Wenhao Li 001; Bo Jin 003; Xiangfeng Wang; Junchi Yan; Hongyuan Zha (J. Mach. Learn. Res., 2023)

Interactive medical image segmentation with self-adaptive confidence calibration. - Chuyun Shen; Wenhao Li 001; Qisen Xu; Bin Hu; Bo Jin 003; Haibin Cai; Fengping Zhu; Yuxin Li; Xiangfeng Wang (Frontiers Inf. Technol. Electron. Eng., 2023)

Semi-supervised Learning to Defer Algorithm for Lung Disease Diagnosis. - Haoqing Chen; Bo Jin 003; Xiangfeng Wang (IEEE Big Data, 2024)

FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework. - Yuchen He; Chuyun Shen; Xiangfeng Wang; Bo Jin 003 (IEEE Big Data, 2024)

Optimizing Efficiency and Effectiveness in Sequential Prompt Strategy for SAM Using Reinforcement Learning. - Yifei Huang; Chuyun Shen; Wenhao Li 001; Xiangfeng Wang; Bo Jin 003; Haibin Cai (MICCAI (8), 2024)

Complementary information mutual learning for multimodality medical image segmentation. - Chuyun Shen; Wenhao Li 001; Haoqing Chen; Xiaoling Wang 004; Fengping Zhu; Yuxin Li; Xiangfeng Wang; Bo Jin 003 (Neural Networks, 2024)

Multi-Agent Credit Assignment with Pretrained Language Models. - Wenhao Li 001; Dan Qiao; Baoxiang Wang 001; Xiangfeng Wang; Wei Yin; Hao Shen 002; Bo Jin 003; Hongyuan Zha (AISTATS, 2025)

Dynamic Conservative Degree Allocation for Offline Multi-Agent Reinforcement Learning. - Haosheng Chen; Yun Hua; Junjie Sheng; Wenhao Li 001; Bo Jin 003; Xiangfeng Wang (AAMAS, 2025)

Negotiated Reasoning: On Provably Addressing Relative Over-Generalization. - Junjie Sheng; Wenhao Li 001; Bo Jin 003; Hongyuan Zha; Jun Wang 006; Xiangfeng Wang (AAMAS, 2025)

Verbalized Bayesian Persuasion. - Wenhao Li 001; Yue Lin; Xiangfeng Wang; Bo Jin 003; Hongyuan Zha; Baoxiang Wang 001 (CoRR, 2025)

TrackDiffuser: Nearly Model-Free Bayesian Filtering with Diffusion Model. - Yangguang He; Wenhao Li 001; Minzhe Li; Juan Zhang; Xiangfeng Wang; Bo Jin 003 (CoRR, 2025)

SkyRover: A Modular Simulator for Cross-Domain Pathfinding. - Wenhui Ma; Wenhao Li 001; Bo Jin 003; Changhong Lu; Xiangfeng Wang (CoRR, 2025)

Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review. - Di Wu; Xian Wei; Guang Chen 001; Hao Shen 002; Xiangfeng Wang; Wenhao Li 001; Bo Jin 003 (CoRR, 2025)

A Survey of Automatic Prompt Engineering: An Optimization Perspective. - Wenwu Li; Xiangfeng Wang; Wenhao Li 001; Bo Jin 003 (CoRR, 2025)

GraphThought: Graph Combinatorial Optimization with Thought Generation. - Zixiao Huang; Lifeng Guo; Junjie Sheng; Haosheng Chen; Wenhao Li 001; Bo Jin 003; Changhong Lu; Xiangfeng Wang (CoRR, 2025)

Interpretable Hybrid-Rule Temporal Point Processes. - Yunyang Cao; Juekai Lin; Hongye Wang; Wenhao Li 001; Bo Jin 003 (CoRR, 2025)

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows. - Wenhao Li 001; Bo Jin 003; Mingyi Hong 001; Changhong Lu; Xiangfeng Wang (CoRR, 2025)

Reinforced Reasoning for Embodied Planning. - Di Wu; Jiaxin Fan; Junzhe Zang; Guanbo Wang; Wei Yin; Wenhao Li 001; Bo Jin 003 (CoRR, 2025)

TextAtari: 100K Frames Game Playing with Language Agents. - Wenhao Li 001; Wenwu Li; Chuyun Shen; Junjie Sheng; Zixiao Huang; Di Wu; Yun Hua; Wei Yin; Xiangfeng Wang; Hongyuan Zha; Bo Jin 003 (CoRR, 2025)