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 | 230 | 2019 |
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 | 50 | 2022 |
The 3rd anti-uav workshop & challenge: Methods and results J Zhao, J Li, L Jin, J Chu, Z Zhang, J Wang, J Xia, K Wang, Y Liu, ... arXiv preprint arXiv:2305.07290, 2023 | 44 | 2023 |
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), 6659022, 2021 | 44 | 2021 |
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 | 38 | 2022 |
Margin-based deep learning networks for human activity recognition T Lv, X Wang, L Jin, Y Xiao, M Song Sensors 20 (7), 1871, 2020 | 37 | 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 | 33 | 2020 |
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 | 26 | 2020 |
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 25, 3364-3374, 2022 | 23 | 2022 |
Driveworld: 4d pre-trained scene understanding via world models for autonomous driving C Min, D Zhao, L Xiao, J Zhao, X Xu, Z Zhu, L Jin, J Li, Y Guo, J Xing, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 22 | 2024 |
QueryPose: sparse multi-person pose regression via spatial-aware part-level query Y Xiao, K Su, X Wang, D Yu, L Jin, M He, Z Yuan Advances in Neural Information Processing Systems 35, 12464-12477, 2022 | 19 | 2022 |
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 | 19 | 2021 |
GPLight: Grouped Multi-agent Reinforcement Learning for Large-scale Traffic Signal Control. Y Liu, G Luo, Q Yuan, J Li, L Jin, B Chen, R Pan IJCAI, 199-207, 2023 | 18 | 2023 |
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 | 18 | 2019 |
DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal From Optical Satellite Images X Zou, K Li, J Xing, Y Zhang, S Wang, L Jin, P Tao IEEE Transactions on Geoscience and Remote Sensing 62, 1-14, 2024 | 17 | 2024 |
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 | 17 | 2022 |
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 | 16 | 2021 |
A commodity classification framework based on machine learning for analysis of trade declaration M He, X Wang, C Zou, B Dai, L Jin Symmetry 13 (6), 964, 2021 | 15 | 2021 |
Cascading failure in multilayer networks with dynamic dependency groups L Jin, X Wang, Y Zhang, J You Chinese Physics B 27 (9), 098901, 2018 | 15 | 2018 |
Fusion of skeleton and inertial data for human action recognition based on skeleton motion maps and dilated convolution X Wang, T Lv, Z Gan, M He, L Jin IEEE Sensors Journal 21 (21), 24653-24664, 2021 | 13 | 2021 |