Bo Jin

88 papers A* 13A 6B 8Journal 53Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
It Takes Two to Tango: A Holistic Simulator for Joint Order Scheduling and Multi-Agent Path Finding in Robotic Warehouses.
CoRR
Haozheng Xu, Wenhao Li, Zifan Wei, Bo Jin, Hongxing Bai, Ben Yang, Xiangfeng Wang
2026 J jnl
Learning Roles With Emergent Social Value Orientations.
IEEE Trans. Pattern Anal. Mach. Intell.
Wenhao Li, Xiangfeng Wang, Bo Jin, Jingyi Lu, Hongyuan Zha
2025 J jnl
A Survey of Automatic Prompt Engineering: An Optimization Perspective.
CoRR
Wenwu Li, Xiangfeng Wang, Wenhao Li, Bo Jin
2025 J jnl
Differentiable Adaptive Kalman Filtering via Optimal Transport.
CoRR
Yangguang He, Wenhao Li, Minzhe Li, Juan Zhang, Xiangfeng Wang, Bo Jin
2025 A conf
Dynamic Conservative Degree Allocation for Offline Multi-Agent Reinforcement Learning.
AAMAS
Haosheng Chen, Yun Hua, Junjie Sheng, Wenhao Li, Bo Jin, Xiangfeng Wang
2025 A* conf
Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review.
IJCAI
Di Wu, Xian Wei, Guang Chen, Hao Shen, Bo Jin
2025 J jnl
Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review.
CoRR
Di Wu, Xian Wei, Guang Chen, Hao Shen, Xiangfeng Wang, Wenhao Li, Bo Jin
2025 J jnl
GraphThought: Graph Combinatorial Optimization with Thought Generation.
CoRR
Zixiao Huang, Lifeng Guo, Junjie Sheng, Haosheng Chen, Wenhao Li, Bo Jin, Changhong Lu, Xiangfeng Wang
2025 — conf
Interpretable Hybrid-Rule Temporal Point Processes.
ECML/PKDD (3)
Yunyang Cao, Juekai Lin, Hongye Wang, Wenhao Li, Bo Jin
2025 J jnl
Interpretable Hybrid-Rule Temporal Point Processes.
CoRR
Yunyang Cao, Juekai Lin, Hongye Wang, Wenhao Li, Bo Jin
2025 J jnl
MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes.
CoRR
Yunyang Cao, Juekai Lin, Wenhao Li, Bo Jin
2025 A conf
Multi-Agent Credit Assignment with Pretrained Language Models.
AISTATS
Wenhao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Wei Yin, Hao Shen, Bo Jin, Hongyuan Zha
2025 A conf
Negotiated Reasoning: On Provably Addressing Relative Over-Generalization.
AAMAS
Junjie Sheng, Wenhao Li, Bo Jin, Hongyuan Zha, Jun Wang, Xiangfeng Wang
2025 J jnl
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows.
CoRR
Wenhao Li, Bo Jin, Mingyi Hong, Changhong Lu, Xiangfeng Wang
2025 J jnl
Reinforced Reasoning for Embodied Planning.
CoRR
Di Wu, Jiaxin Fan, Junzhe Zang, Guanbo Wang, Wei Yin, Wenhao Li, Bo Jin
2025 A* conf
Reward Translation via Reward Machine in Semi-Alignable MDPs.
ICML
Yun Hua, Haosheng Chen, Wenhao Li, Bo Jin, Baoxiang Wang, Hongyuan Zha, Xiangfeng Wang
2025 A* conf
SkyRover: A Modular Simulator for Cross-Domain Pathfinding.
IJCAI
Wenhui Ma, Wenhao Li, Bo Jin, Changhong Lu, Xiangfeng Wang
2025 J jnl
SkyRover: A Modular Simulator for Cross-Domain Pathfinding.
CoRR
Wenhui Ma, Wenhao Li, Bo Jin, Changhong Lu, Xiangfeng Wang
2025 J jnl
TextAtari: 100K Frames Game Playing with Language Agents.
CoRR
Wenhao Li, Wenwu Li, Chuyun Shen, Junjie Sheng, Zixiao Huang, Di Wu, Yun Hua, Wei Yin, Xiangfeng Wang, Hongyuan Zha, Bo Jin
2025 J jnl
TrackDiffuser: Nearly Model-Free Bayesian Filtering with Diffusion Model.
CoRR
Yangguang He, Wenhao Li, Minzhe Li, Juan Zhang, Xiangfeng Wang, Bo Jin
2025 J jnl
Verbalized Bayesian Persuasion.
CoRR
Wenhao Li, Yue Lin, Xiangfeng Wang, Bo Jin, Hongyuan Zha, Baoxiang Wang
2024 J jnl
Complementary Information Mutual Learning for Multimodality Medical Image Segmentation.
CoRR
Chuyun Shen, Wenhao Li, Haoqing Chen, Xiaoling Wang, Fengping Zhu, Yuxin Li, Xiangfeng Wang, Bo Jin
2024 J jnl
Complementary information mutual learning for multimodality medical image segmentation.
Neural Networks
Chuyun Shen, Wenhao Li, Haoqing Chen, Xiaoling Wang, Fengping Zhu, Yuxin Li, Xiangfeng Wang, Bo Jin
2024 B conf
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework.
IEEE Big Data
Yuchen He, Chuyun Shen, Xiangfeng Wang, Bo Jin
2024 J jnl
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework.
CoRR
Yuchen He, Chuyun Shen, Xiangfeng Wang, Bo Jin
2024 — conf
Optimizing Efficiency and Effectiveness in Sequential Prompt Strategy for SAM Using Reinforcement Learning.
MICCAI (8)
Yifei Huang, Chuyun Shen, Wenhao Li, Xiangfeng Wang, Bo Jin, Haibin Cai
2024 B conf
Semi-supervised Learning to Defer Algorithm for Lung Disease Diagnosis.
IEEE Big Data
Haoqing Chen, Bo Jin, Xiangfeng Wang
2023 J jnl
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning.
CoRR
Chaofan Ma, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Yanfeng Wang, Ya Zhang
2023 J jnl
Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym.
CoRR
Junjie Sheng, Zixiao Huang, Chuyun Shen, Wenhao Li, Yun Hua, Bo Jin, Hongyuan Zha, Xiangfeng Wang
2023 J jnl
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning.
J. Mach. Learn. Res.
Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha
2023 A* conf
Hierarchical Diffusion for Offline Decision Making.
ICML
Wenhao Li, Xiangfeng Wang, Bo Jin, Hongyuan Zha
2023 J jnl
Interactive medical image segmentation with self-adaptive confidence calibration.
Frontiers Inf. Technol. Electron. Eng.
Chuyun Shen, Wenhao Li, Qisen Xu, Bin Hu, Bo Jin, Haibin Cai, Fengping Zhu, Yuxin Li, Xiangfeng Wang
2023 A* conf
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning.
WWW
Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
2023 A conf
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas.
AAMAS
Yun Hua, Shang Gao, Wenhao Li, Bo Jin, Xiangfeng Wang, Hongyuan Zha
2023 J jnl
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas.
CoRR
Yun Hua, Shang Gao, Wenhao Li, Bo Jin, Xiangfeng Wang, Hongyuan Zha
2023 J jnl
Learning Roles with Emergent Social Value Orientations.
CoRR
Wenhao Li, Xiangfeng Wang, Bo Jin, Jingyi Lu, Hongyuan Zha
2023 A conf
Learning Structured Communication for Multi-Agent Reinforcement Learning.
AAMAS
Junjie Sheng, Xiangfeng Wang, Bo Jin, Wenhao Li, Jun Wang, Junchi Yan, Tsung-Hui Chang, Hongyuan Zha
2023 J jnl
Negotiated Reasoning: On Provably Addressing Relative Over-Generalization.
CoRR
Junjie Sheng, Wenhao Li, Bo Jin, Hongyuan Zha, Jun Wang, Xiangfeng Wang
2023 J jnl
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning.
CoRR
Wenhao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Bo Jin, Hongyuan Zha
2022 — conf
CLD-Net: Complement Local Detail For Medical Small-Object Segmentation.
BIBM
Rui Chen, Xiangfeng Wang, Bo Jin, Jiaqi Tu, Fengping Zhu, Yuxin Li
2022 A* conf
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition.
ICLR
Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha
2022 J jnl
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning.
CoRR
Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
2022 J jnl
Learning structured communication for multi-agent reinforcement learning.
Auton. Agents Multi Agent Syst.
Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha
2022 J jnl
Learning to schedule multi-NUMA virtual machines via reinforcement learning.
Pattern Recognit.
Junjie Sheng, Yiqiu Hu, Wenli Zhou, Lei Zhu, Bo Jin, Jun Wang, Xiangfeng Wang
2022 J jnl
Mitigating disparate impact on model accuracy in differentially private learning.
Inf. Sci.
Wenyan Liu, Xiangfeng Wang, Haikun Zheng, Bo Jin, Xiaoling Wang, Hongyuan Zha
2022 A* conf
Multi-Agent Path Finding with Prioritized Communication Learning.
ICRA
Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha, Xiangfeng Wang
2022 J jnl
Multi-Agent Path Finding with Prioritized Communication Learning.
CoRR
Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha, Xiangfeng Wang
2022 B conf
Obtaining Dyadic Fairness by Optimal Transport.
IEEE Big Data
Moyi Yang, Junjie Sheng, Wenyan Liu, Bo Jin, Xiaoling Wang, Xiangfeng Wang
2022 J jnl
Obtaining Dyadic Fairness by Optimal Transport.
CoRR
Moyi Yang, Junjie Sheng, Xiangfeng Wang, Wenyan Liu, Bo Jin, Jun Wang, Hongyuan Zha
2022 B conf
ReAssigner: A Plug-and-Play Virtual Machine Scheduling Intensifier for Heterogeneous Requests.
IEEE Big Data
Haochuan Cui, Junjie Sheng, Bo Jin, Yiqiu Hu, Li Su, Lei Zhu, Wenli Zhou, Xiangfeng Wang
2022 J jnl
ReAssigner: A Plug-and-Play Virtual Machine Scheduling Intensifier for Heterogeneous Requests.
CoRR
Haochuan Cui, Junjie Sheng, Bo Jin, Yiqiu Hu, Li Su, Lei Zhu, Wenli Zhou, Xiangfeng Wang
2022 J jnl
Structured Cooperative Reinforcement Learning With Time-Varying Composite Action Space.
IEEE Trans. Pattern Anal. Mach. Intell.
Wenhao Li, Xiangfeng Wang, Bo Jin, Dijun Luo, Hongyuan Zha
2022 A* conf
VMAgent: A Practical Virtual Machine Scheduling Platform.
IJCAI
Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang
2022 — conf
Weighted Mean-Field Multi-Agent Reinforcement Learning via Reward Attribution Decomposition.
DASFAA (Workshops)
Ting Wu, Wenhao Li, Bo Jin, Wei Zhang, Xiangfeng Wang
2021 J jnl
Boundary-Aware Supervoxel-Level Iteratively Refined Interactive 3D Image Segmentation With Multi-Agent Reinforcement Learning.
IEEE Trans. Medical Imaging
Chaofan Ma, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Yanfeng Wang, Ya Zhang
2021 J jnl
Dealing with Non-Stationarity in Multi-Agent Reinforcement Learning via Trust Region Decomposition.
CoRR
Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha
2021 J jnl
Distributed and Parallel ADMM for Structured Nonconvex Optimization Problem.
IEEE Trans. Cybern.
Xiangfeng Wang, Junchi Yan, Bo Jin, Wenhao Li
2021 A* conf
HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem.
KDD
Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha
2021 J jnl
Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration.
CoRR
Wenhao Li, Qisen Xu, Chuyun Shen, Bin Hu, Fengping Zhu, Yuxin Li, Bo Jin, Xiangfeng Wang
2021 B conf
Semi-supervised Medical Image Segmentation with Confidence Calibration.
IJCNN
Qisen Xu, Qian Wu, Yiqiu Hu, Bo Jin, Bin Hu, Fengping Zhu, Yuxin Li, Xiangfeng Wang
2021 A conf
Structured Diversification Emergence via Reinforced Organization Control and Hierachical Consensus Learning.
AAMAS
Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha
2021 J jnl
Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning.
CoRR
Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha
2021 J jnl
VMAgent: Scheduling Simulator for Reinforcement Learning.
CoRR
Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang
2020 J jnl
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning.
CoRR
Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha
2020 B conf
Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning.
ICPR
Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, Hongyuan Zha
2020 J jnl
Hyper-Meta Reinforcement Learning with Sparse Reward.
CoRR
Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha
2020 A* conf
Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning.
CVPR
Xuan Liao, Wenhao Li, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Yanfeng Wang, Ya Zhang
2020 J jnl
Learning Structured Communication for Multi-agent Reinforcement Learning.
CoRR
Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha
2020 — conf
Low Rank Communication for Federated Learning.
DASFAA (Workshops)
Huachi Zhou, Junhong Cheng, Xiangfeng Wang, Bo Jin
2020 B conf
VSB2-Net: Visual-Semantic Bi-Branch Network for Zero-Shot Hashing.
ICPR
Xin Li, Xiangfeng Wang, Bo Jin, Wenjie Zhang, Jun Wang, Hongyuan Zha
2020 B conf
Visual-to-Semantic Hashing for Zero Shot Learning.
IJCNN
Xin Li, Xiaoyue Wen, Bo Jin, Xiangfeng Wang, Junjie Wang, Jinghui Cai
2019 — conf
Accelerate Black-Box Attack with White-Box Prior Knowledge.
IScIDE (2)
Jinghui Cai, Boyang Wang, Xiangfeng Wang, Bo Jin
2019 J jnl
Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning.
CoRR
Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, Hongyuan Zha
2019 J jnl
Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning.
CoRR
Xuan Liao, Wenhao Li, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang
2019 — conf
SparseMAAC: Sparse Attention for Multi-agent Reinforcement Learning.
DASFAA Workshops
Wenhao Li, Bo Jin, Xiangfeng Wang
2018 A* conf
Learning to Detect Pathogenic Microorganism of Community-acquired Pneumonia.
SIGIR
Wenwei Liang, Wei Zhang, Bo Jin, Jiangjiang Xu, Linhua Shu, Hongyuan Zha
2018 J jnl
Sequential Fault Diagnosis Based on LSTM Neural Network.
IEEE Access
Haitao Zhao, Shaoyuan Sun, Bo Jin
2017 J jnl
Incremental and Decremental Extreme Learning Machine Based on Generalized Inverse.
IEEE Access
Bo Jin, Zhongliang Jing, Haitao Zhao
2016 J jnl
A compressive tracking based on time-space Kalman fusion model.
Sci. China Inf. Sci.
Xiao Yun, Zhongliang Jing, Gang Xiao, Bo Jin, Canlong Zhang
2016 A* conf
Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior.
IJCAI
Junchi Yan, Shuai Xiao, Changsheng Li, Bo Jin, Xiangfeng Wang, Bin Ke, Xiaokang Yang, Hongyuan Zha
2016 A* conf
On Modeling and Predicting Individual Paper Citation Count over Time.
IJCAI
Shuai Xiao, Junchi Yan, Changsheng Li, Bo Jin, Xiangfeng Wang, Xiaokang Yang, Stephen M. Chu, Hongyuan Zha
2014 — conf
Generalized proximal conjugate gradient method for image deblurring.
ICCA
Han Pan, Zhongliang Jing, Zhizhong Huang, Bo Jin
2014 J jnl
Multi-modality Image Fusion via Generalized Riesz-wavelet Transformation.
KSII Trans. Internet Inf. Syst.
Bo Jin, Zhongliang Jing, Han Pan
2014 J jnl
Robust visual multitask tracking via composite sparse model.
J. Electronic Imaging
Bo Jin, Zhongliang Jing, Meng Wang, Han Pan
2013 J jnl
A sparse proximal Newton splitting method for constrained image deblurring.
Neurocomputing
Han Pan, Zhongliang Jing, Ming Lei, Rongli Liu, Bo Jin, Canlong Zhang
2013 J jnl
Locally discriminative stable model for visual tracking with clustering and principle component analysis.
IET Comput. Vis.
Canlong Zhang, Zhongliang Jing, Yanping Tang, Bo Jin, Gang Xiao
2013 J jnl
Robust visual tracking using discriminative stable regions and K-means clustering.
Neurocomputing
Canlong Zhang, Zhongliang Jing, Han Pan, Bo Jin, Zhixin Li
2012 J jnl
A dual-kernel-based tracking approach for visual target.
Sci. China Inf. Sci.
Canlong Zhang, Zhongliang Jing, Bo Jin, Zhixin Li