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ORCIDBo Jin 0003
Person information
- affiliation: East China Normal University, School of Computer Science and Software Engineering, Shanghai, China
- affiliation (PhD 2014): Shanghai Jiao Tong University, School of Aeronautics and Astronautics, China
Other persons with the same name
- Bo Jin — disambiguation page
- Bo Jin 0001
![[0000-0002-4094-7499]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4094-7499")
— Dalian University of Technology, Dalian, China - Bo Jin 0002 — Southern University of Science and Technology, China (and 1 more)
- Bo Jin 0004 — Beihang University, School of Energy and Power Engineering / Collaborative Innovation Center for Advanced Aero-Engine, Beijing, China
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2020 – today
- 2024
[i20]Chuyun Shen, Wenhao Li, Haoqing Chen, Xiaoling Wang, Fengping Zhu, Yuxin Li, Xiangfeng Wang, Bo Jin:
Complementary Information Mutual Learning for Multimodality Medical Image Segmentation. CoRR abs/2401.02717 (2024)- 2023
- [j17]Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha:
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning. J. Mach. Learn. Res. 24: 178:1-178:75 (2023) - [j16]Chuyun Shen, Wenhao Li, Qisen Xu, Bin Hu, Bo Jin, Haibin Cai, Fengping Zhu, Yuxin Li, Xiangfeng Wang:
Interactive medical image segmentation with self-adaptive confidence calibration. Frontiers Inf. Technol. Electron. Eng. 24(9): 1332-1348 (2023) - [c25]Junjie Sheng, Xiangfeng Wang, Bo Jin, Wenhao Li, Jun Wang, Junchi Yan, Tsung-Hui Chang, Hongyuan Zha:
Learning Structured Communication for Multi-Agent Reinforcement Learning. AAMAS 2023: 436-438 - [c24]Yun Hua, Shang Gao, Wenhao Li, Bo Jin, Xiangfeng Wang, Hongyuan Zha:
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas. AAMAS 2023: 2784-2786 - [c23]Wenhao Li, Xiangfeng Wang, Bo Jin, Hongyuan Zha:
Hierarchical Diffusion for Offline Decision Making. ICML 2023: 20035-20064 - [c22]Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. WWW 2023: 2927-2936 - [i19]Wenhao Li, Xiangfeng Wang, Bo Jin, Jingyi Lu, Hongyuan Zha:
Learning Roles with Emergent Social Value Orientations. CoRR abs/2301.13812 (2023) - [i18]Chaofan Ma, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Yanfeng Wang, Ya Zhang:
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning. CoRR abs/2303.10692 (2023) - [i17]Yun Hua, Shang Gao, Wenhao Li, Bo Jin, Xiangfeng Wang, Hongyuan Zha:
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas. CoRR abs/2305.06227 (2023) - [i16]Wenhao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Bo Jin, Hongyuan Zha:
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning. CoRR abs/2305.10865 (2023) - [i15]Junjie Sheng, Wenhao Li, Bo Jin, Hongyuan Zha, Jun Wang, Xiangfeng Wang:
Negotiated Reasoning: On Provably Addressing Relative Over-Generalization. CoRR abs/2306.05353 (2023) - [i14]Junjie Sheng, Zixiao Huang, Chuyun Shen, Wenhao Li, Yun Hua, Bo Jin, Hongyuan Zha, Xiangfeng Wang:
Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym. CoRR abs/2312.03290 (2023) - 2022
- [j15]Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha:
Learning structured communication for multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. 36(2): 50 (2022) - [j14]Wenyan Liu, Xiangfeng Wang, Haikun Zheng, Bo Jin, Xiaoling Wang, Hongyuan Zha:
Mitigating disparate impact on model accuracy in differentially private learning. Inf. Sci. 616: 108-126 (2022) - [j13]Wenhao Li, Xiangfeng Wang, Bo Jin, Dijun Luo, Hongyuan Zha:
Structured Cooperative Reinforcement Learning With Time-Varying Composite Action Space. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8618-8634 (2022) - [j12]Junjie Sheng, Yiqiu Hu, Wenli Zhou, Lei Zhu, Bo Jin, Jun Wang, Xiangfeng Wang:
Learning to schedule multi-NUMA virtual machines via reinforcement learning. Pattern Recognit. 121: 108254 (2022) - [c21]Rui Chen, Xiangfeng Wang, Bo Jin, Jiaqi Tu, Fengping Zhu, Yuxin Li:
CLD-Net: Complement Local Detail For Medical Small-Object Segmentation. BIBM 2022: 942-947 - [c20]Haochuan Cui, Junjie Sheng, Bo Jin, Yiqiu Hu, Li Su, Lei Zhu, Wenli Zhou, Xiangfeng Wang:
ReAssigner: A Plug-and-Play Virtual Machine Scheduling Intensifier for Heterogeneous Requests. IEEE Big Data 2022: 3726-3734 - [c19]Moyi Yang, Junjie Sheng, Wenyan Liu, Bo Jin, Xiaoling Wang, Xiangfeng Wang:
Obtaining Dyadic Fairness by Optimal Transport. IEEE Big Data 2022: 4726-4732 - [c18]Ting Wu, Wenhao Li, Bo Jin, Wei Zhang, Xiangfeng Wang:
Weighted Mean-Field Multi-Agent Reinforcement Learning via Reward Attribution Decomposition. DASFAA (Workshops) 2022: 301-316 - [c17]Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha:
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition. ICLR 2022 - [c16]Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha, Xiangfeng Wang:
Multi-Agent Path Finding with Prioritized Communication Learning. ICRA 2022: 10695-10701 - [c15]Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang:
VMAgent: A Practical Virtual Machine Scheduling Platform. IJCAI 2022: 5944-5947 - [i13]Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha, Xiangfeng Wang:
Multi-Agent Path Finding with Prioritized Communication Learning. CoRR abs/2202.03634 (2022) - [i12]Moyi Yang, Junjie Sheng, Xiangfeng Wang, Wenyan Liu, Bo Jin, Jun Wang, Hongyuan Zha:
Obtaining Dyadic Fairness by Optimal Transport. CoRR abs/2202.04520 (2022) - [i11]Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. CoRR abs/2211.11759 (2022) - [i10]Haochuan Cui, Junjie Sheng, Bo Jin, Yiqiu Hu, Li Su, Lei Zhu, Wenli Zhou, Xiangfeng Wang:
ReAssigner: A Plug-and-Play Virtual Machine Scheduling Intensifier for Heterogeneous Requests. CoRR abs/2211.16227 (2022) - 2021
- [j11]Xiangfeng Wang, Junchi Yan, Bo Jin, Wenhao Li:
Distributed and Parallel ADMM for Structured Nonconvex Optimization Problem. IEEE Trans. Cybern. 51(9): 4540-4552 (2021) - [j10]Chaofan Ma, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Yanfeng Wang, Ya Zhang:
Boundary-Aware Supervoxel-Level Iteratively Refined Interactive 3D Image Segmentation With Multi-Agent Reinforcement Learning. IEEE Trans. Medical Imaging 40(10): 2563-2574 (2021) - [c14]Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha:
Structured Diversification Emergence via Reinforced Organization Control and Hierachical Consensus Learning. AAMAS 2021: 773-781 - [c13]Qisen Xu, Qian Wu, Yiqiu Hu, Bo Jin, Bin Hu, Fengping Zhu, Yuxin Li, Xiangfeng Wang:
Semi-supervised Medical Image Segmentation with Confidence Calibration. IJCNN 2021: 1-8 - [c12]Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha:
HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem. KDD 2021: 637-645 - [i9]Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha:
Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning. CoRR abs/2102.04775 (2021) - [i8]Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha:
Dealing with Non-Stationarity in Multi-Agent Reinforcement Learning via Trust Region Decomposition. CoRR abs/2102.10616 (2021) - [i7]Wenhao Li, Qisen Xu, Chuyun Shen, Bin Hu, Fengping Zhu, Yuxin Li, Bo Jin, Xiangfeng Wang:
Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration. CoRR abs/2111.07716 (2021) - [i6]Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang:
VMAgent: Scheduling Simulator for Reinforcement Learning. CoRR abs/2112.04785 (2021) - 2020
- [c11]Xuan Liao, Wenhao Li, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Yanfeng Wang, Ya Zhang:
Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning. CVPR 2020: 9391-9399 - [c10]Huachi Zhou, Junhong Cheng, Xiangfeng Wang, Bo Jin:
Low Rank Communication for Federated Learning. DASFAA (Workshops) 2020: 1-16 - [c9]Xin Li, Xiangfeng Wang, Bo Jin, Wenjie Zhang, Jun Wang, Hongyuan Zha:
VSB2-Net: Visual-Semantic Bi-Branch Network for Zero-Shot Hashing. ICPR 2020: 1836-1843 - [c8]Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, Hongyuan Zha:
Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning. ICPR 2020: 1859-1866 - [c7]Xin Li, Xiaoyue Wen, Bo Jin, Xiangfeng Wang, Junjie Wang, Jinghui Cai:
Visual-to-Semantic Hashing for Zero Shot Learning. IJCNN 2020: 1-7 - [i5]Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha:
Learning Structured Communication for Multi-agent Reinforcement Learning. CoRR abs/2002.04235 (2020) - [i4]Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha:
Hyper-Meta Reinforcement Learning with Sparse Reward. CoRR abs/2002.04238 (2020) - [i3]Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha:
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning. CoRR abs/2004.11145 (2020)
2010 – 2019
- 2019
- [c6]Wenhao Li, Bo Jin, Xiangfeng Wang:
SparseMAAC: Sparse Attention for Multi-agent Reinforcement Learning. DASFAA Workshops 2019: 96-110 - [c5]Jinghui Cai, Boyang Wang, Xiangfeng Wang, Bo Jin:
Accelerate Black-Box Attack with White-Box Prior Knowledge. IScIDE (2) 2019: 394-405 - [i2]Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, Hongyuan Zha:
Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning. CoRR abs/1911.09046 (2019) - [i1]Xuan Liao, Wenhao Li, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang:
Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning. CoRR abs/1911.10334 (2019) - 2018
- [j9]Haitao Zhao, Shaoyuan Sun, Bo Jin:
Sequential Fault Diagnosis Based on LSTM Neural Network. IEEE Access 6: 12929-12939 (2018) - [c4]Wenwei Liang, Wei Zhang, Bo Jin, Jiangjiang Xu, Linhua Shu, Hongyuan Zha:
Learning to Detect Pathogenic Microorganism of Community-acquired Pneumonia. SIGIR 2018: 969-972 - 2017
- [j8]Bo Jin, Zhongliang Jing, Haitao Zhao:
Incremental and Decremental Extreme Learning Machine Based on Generalized Inverse. IEEE Access 5: 20852-20865 (2017) - 2016
- [j7]Xiao Yun, Zhongliang Jing, Gang Xiao, Bo Jin, Canlong Zhang:
A compressive tracking based on time-space Kalman fusion model. Sci. China Inf. Sci. 59(1): 1-15 (2016) - [c3]Shuai Xiao, Junchi Yan, Changsheng Li, Bo Jin, Xiangfeng Wang, Xiaokang Yang, Stephen M. Chu, Hongyuan Zha:
On Modeling and Predicting Individual Paper Citation Count over Time. IJCAI 2016: 2676-2682 - [c2]Junchi Yan, Shuai Xiao, Changsheng Li, Bo Jin, Xiangfeng Wang, Bin Ke, Xiaokang Yang, Hongyuan Zha:
Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior. IJCAI 2016: 2690-2696 - 2014
- [j6]Bo Jin, Zhongliang Jing, Han Pan:
Multi-modality Image Fusion via Generalized Riesz-wavelet Transformation. KSII Trans. Internet Inf. Syst. 8(11): 4118-4136 (2014) - [j5]Bo Jin, Zhongliang Jing, Meng Wang, Han Pan:
Robust visual multitask tracking via composite sparse model. J. Electronic Imaging 23(6): 063022 (2014) - [c1]Han Pan, Zhongliang Jing, Zhizhong Huang, Bo Jin:
Generalized proximal conjugate gradient method for image deblurring. ICCA 2014: 1416-1421 - 2013
- [j4]Canlong Zhang, Zhongliang Jing, Yanping Tang, Bo Jin, Gang Xiao:
Locally discriminative stable model for visual tracking with clustering and principle component analysis. IET Comput. Vis. 7(3): 151-162 (2013) - [j3]Canlong Zhang, Zhongliang Jing, Han Pan, Bo Jin, Zhixin Li:
Robust visual tracking using discriminative stable regions and K-means clustering. Neurocomputing 111: 131-143 (2013) - [j2]Han Pan, Zhongliang Jing, Ming Lei, Rongli Liu, Bo Jin, Canlong Zhang:
A sparse proximal Newton splitting method for constrained image deblurring. Neurocomputing 122: 245-257 (2013) - 2012
- [j1]Canlong Zhang, Zhongliang Jing, Bo Jin, Zhixin Li:
A dual-kernel-based tracking approach for visual target. Sci. China Inf. Sci. 55(3): 566-576 (2012)
Coauthor Index
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last updated on 2024-06-13 23:35 CEST by the dblp team
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