| Sequential fault diagnosis based on lstm neural network H Zhao, S Sun, B Jin IEEE Access 6, 12929-12939, 2018 | 275 | 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 | 112 | 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 | 105* | 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 | 46 | 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 | 35 | 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 | 34 | 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 | 30 | 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 | 26* | 2022 |
| Incremental and Decremental Extreme Learning Machine Based on Generalized Inverse B Jin, Z Jing, H Zhao IEEE Access 5, 20852-20865, 2017 | 26 | 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 | 23* | 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 | 22 | 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 | 21 | 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 | 20 | 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 | 19 | 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 | 18* | 2022 |
| Hierarchical Diffusion for Offline Decision Making W Li, X Wang, B Jin, H Zha International Conference on Machine Learning, 2023 | 17 | 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 | 16 | 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 | 13 | 2023 |
| Multi-modality image fusion via generalized Riesz-wavelet transformation. B Jin, Z Jing, H Pan KSII Transactions on Internet & Information Systems 8 (11), 2014 | 10 | 2014 |
| 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 | 9* | 2021 |
Xiangfeng Wang 王祥丰East China Normal UniversityVerified email at sei.ecnu.edu.cn
