Bo Jin
Cited by
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Sequential fault diagnosis based on lstm neural network
H Zhao, S Sun, B Jin
IEEE Access 6, 12929-12939, 2018
Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning
X Liao, W Li, Q Xu, X Wang, B Jin, X Zhang, Y Zhang, Y Wang
IEEE Conference on Computer Vision and Pattern Recognition, 2020
On modeling and predicting individual paper citation count over time
HZXY Shuai Xiao, Junchi Yan, Changsheng Li, Bo Jin, Xiangfeng Wang
25th International Joint Conference on Artificial Intelligence, 2016
Learning Structured Communication for Multi-agent Reinforcement Learning
J Sheng, X Wang, B Jin, J Yan, W Li, TH Chang, J Wang, H Zha
Autonomous Agents and Multi-Agent Systems, 2022
Learning to schedule multi-NUMA virtual machines via reinforcement learning
J Sheng, Y Hu, W Zhou, L Zhu, B Jin, J Wang, X Wang
Pattern Recognition 121, 108254, 2022
1D-Convolutional Capsule Network for Hyperspectral Image Classification
H Zhang, L Meng, X Wei, X Tang, X Tang, X Wang, B Jin, W Yao
arXiv preprint arXiv:1903.09834, 2019
Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior.
J Yan, S Xiao, C Li, B Jin, X Wang, B Ke, X Yang, H Zha
IJCAI, 2690-2696, 2016
Multi-Agent Path Finding with Prioritized Communication Learning
XW Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha
International Conference on Robotics and Automation, 2022
Incremental and Decremental Extreme Learning Machine Based on Generalized Inverse
B Jin, Z Jing, H Zhao
IEEE Access 5, 20852-20865, 2017
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning
HZ Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan
Journal of Machine Learning Research (JMLR), 2023
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning
YZ Chaofan Ma, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Yanfeng Wang
IEEE Transactions on Medical Imaging, 2020
A compressive tracking based on time-space Kalman fusion model
X Yun, Z Jing, G Xiao, B Jin, C Zhang
Science China Information Sciences 59 (1), 1-15, 2016
Distributed and parallel ADMM for structured nonconvex optimization problem
X Wang, J Yan, B Jin, W Li
IEEE Transactions on Cybernetics 51 (9), 4540-4552, 2019
A sparse proximal Newton splitting method for constrained image deblurring
H Pan, Z Jing, M Lei, R Liu, B Jin, C Zhang
Neurocomputing 122, 245-257, 2013
Dealing with Non-Stationarity in Multi-Agent Reinforcement Learning via Trust Region Decomposition
W Li, X Wang, B Jin, J Sheng, H Zha
International Conference on Learning Representations, 2022
Hierarchical Diffusion for Offline Decision Making
W Li, X Wang, B Jin, H Zha
International Conference on Machine Learning, 2023
Structured cooperative reinforcement learning with time-varying composite action space
W Li, X Wang, B Jin, D Luo, H Zha
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 8618 …, 2021
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning
W Li, D Qiao, B Wang, X Wang, B Jin, H Zha
arXiv preprint arXiv:2305.10865, 2023
HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem
Y Hua, X Wang, B Jin, W Li, J Yan, X He, H Zha
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Low Rank Communication for Federated Learning
H Zhou, J Cheng, X Wang, B Jin
International Conference on Database Systems for Advanced Applications, 1-16, 2020
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