| Sequential fault diagnosis based on lstm neural network H Zhao, S Sun, B Jin IEEE Access 6, 12929-12939, 2018 | 204 | 2018 |
| 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 | 97* | 2016 |
| 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 | 70 | 2020 |
| 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 | 29 | 2016 |
| 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 | 28 | 2019 |
| 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 | 26 | 2022 |
| Incremental and Decremental Extreme Learning Machine Based on Generalized Inverse B Jin, Z Jing, H Zhao IEEE Access 5, 20852-20865, 2017 | 24 | 2017 |
| F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning HZ Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan https://arxiv.org/abs/2004.11145, 2020 | 22* | 2020 |
| 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 | 19 | 2022 |
| 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 |
| 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 | 16* | 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 | 12 | 2019 |
| 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 | 11 | 2020 |
| 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, 2021 | 9 | 2021 |
| Simultaneous spatial-temporal image fusion using Kalman filtered compressed sensing H Pan, Z Jing, R Liu, B Jin Optical Engineering 51 (5), 057005, 2012 | 9 | 2012 |
| A dual-kernel-based tracking approach for visual target CL Zhang, ZL Jing, B Jin, ZX Li Science China Information Sciences 55 (3), 566-576, 2012 | 9 | 2012 |
| Robust visual tracking using discriminative stable regions and K-means clustering CL Zhang, ZL Jing, H Pan, B Jin, ZX Li Neurocomputing 111, 131-143, 2013 | 8 | 2013 |
| Survey on fairness in trustworthy machine learning. Ruan Jian Xue Bao WY Liu, CY Shen, XF Wang, B Jin, XJ Lu, XL Wang, HY Zha, JF He Journal of Software 32 (5), 1404-1426, 2021 | 7 | 2021 |
| Multimode Process Monitoring Based on Sparse Principal Component Selection and Bayesian Inference-Based Probability X Jiang, H Zhao, B Jin Mathematical Problems in Engineering 2015, 2015 | 7 | 2015 |
| Multi-modality image fusion via generalized Riesz-wavelet transformation B Jin, Z Jing, H Pan KSII Transactions on Internet and Information Systems (TIIS) 8 (11), 4118-4136, 2014 | 7 | 2014 |
Xiangfeng Wang 王祥丰MAIL, East China Normal UniversityVerified email at sei.ecnu.edu.cn
