| Detection of power grid disturbances and cyber-attacks based on machine learning D Wang, X Wang, Y Zhang, L Jin Journal of information security and applications 46, 42-52, 2019 | 132 | 2019 |
| Margin-based deep learning networks for human activity recognition T Lv, X Wang, L Jin, Y Xiao, M Song Sensors 20 (7), 1871, 2020 | 19 | 2020 |
| Unsupervised learning for log data analysis based on behavior and attribute features X Wang, D Wang, Y Zhang, L Jin, M Song Proceedings of the 2019 international conference on artificial intelligence …, 2019 | 16 | 2019 |
| Deep-feature-based autoencoder network for few-shot malicious traffic detection M He, X Wang, J Zhou, Y Xi, L Jin, X Wang Security and Communication Networks 2021, 1-13, 2021 | 15 | 2021 |
| A network traffic classification model based on metric learning M Chen, X Wang, M He, L Jin, K Javeed, X Wang CMC-computers Materials & Continua 64 (2), 941-959, 2020 | 15 | 2020 |
| A hybrid network based on dense connection and weighted feature aggregation for human activity recognition T Lv, X Wang, L Jin, Y Xiao, M Song IEEE Access 8, 68320-68332, 2020 | 14 | 2020 |
| Single-stage is enough: Multi-person absolute 3D pose estimation L Jin, C Xu, X Wang, Y Xiao, Y Guo, X Nie, J Zhao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 11 | 2022 |
| Cascading failure in multilayer networks with dynamic dependency groups L Jin, X Wang, Y Zhang, J You Chinese Physics B 27 (9), 098901, 2018 | 11 | 2018 |
| Evolutionary algorithm-based and network architecture search-enabled multiobjective traffic classification X Wang, X Wang, L Jin, R Lv, B Dai, M He, T Lv IEEE Access 9, 52310-52325, 2021 | 9 | 2021 |
| The 2nd anti-UAV workshop & challenge: methods and results J Zhao, G Wang, J Li, L Jin, N Fan, M Wang, X Wang, T Yong, Y Deng, ... arXiv preprint arXiv:2108.09909, 2021 | 7 | 2021 |
| Analysis of overload-based cascading failure in multilayer spatial networks M Zhang, XJ Wang, L Jin, M Song, ZH Liao Chinese Physics B 29 (9), 096401, 2020 | 7 | 2020 |
| A new approach for evaluating node importance in complex networks via deep learning methods M Zhang, X Wang, L Jin, M Song, Z Li Neurocomputing 497, 13-27, 2022 | 5 | 2022 |
| Learning quality-aware representation for multi-person pose regression Y Xiao, D Yu, XJ Wang, L Jin, G Wang, Q Zhang Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 2822-2830, 2022 | 5 | 2022 |
| Human activity recognition machine with an anchor-based loss function L Jin, X Wang, J Chu, M He IEEE Sensors Journal 22 (1), 741-756, 2021 | 5 | 2021 |
| Harnas: human activity recognition based on automatic neural architecture search using evolutionary algorithms X Wang, X Wang, T Lv, L Jin, M He Sensors 21 (20), 6927, 2021 | 5 | 2021 |
| Network intrusion detection based on an efficient neural architecture search R Lyu, M He, Y Zhang, L Jin, X Wang Symmetry 13 (08), 1453, 2021 | 5 | 2021 |
| Cascading failure in multilayer network with asymmetric dependence group M Chen, M Song, M Zhang, L Jin, X Gong International Journal of Modern Physics C 30 (09), 1950043, 2019 | 5 | 2019 |
| Research on cascading failure in multilayer network with different coupling preference Y Zhang, L Jin, XJ Wang International Journal of Modern Physics C 28 (04), 1750050, 2017 | 5 | 2017 |
| Grouping by Center: predicting Centripetal Offsets for the bottom-up human pose estimation L Jin, X Wang, X Nie, L Liu, Y Guo, J Zhao IEEE Transactions on Multimedia, 2022 | 4 | 2022 |
| DRNet: A depth-based regression network for 6D object pose estimation L Jin, X Wang, M He, J Wang Sensors 21 (5), 1692, 2021 | 4 | 2021 |
ZHAO Jian（赵健）Assistant Professor, Institute of North Electronic Equipment, Beijing, China在 u.nus.edu 的电子邮件经过验证
