| Appearance-motion united auto-encoder framework for video anomaly detection Y Liu, J Liu, J Lin, M Zhao, L Song IEEE Transactions on Circuits and Systems II: Express Briefs 69 (5), 2498-2502, 2022 | 52 | 2022 |
| Collaborative normality learning framework for weakly supervised video anomaly detection Y Liu, J Liu, M Zhao, S Li, L Song IEEE Transactions on Circuits and Systems II: Express Briefs 69 (5), 2508-2512, 2022 | 45 | 2022 |
| Learning appearance-motion normality for video anomaly detection Y Liu, J Liu, M Zhao, D Yang, X Zhu, L Song 2022 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022 | 42 | 2022 |
| Generalized video anomaly event detection: Systematic taxonomy and comparison of deep models Y Liu, D Yang, Y Wang, J Liu, J Liu, A Boukerche, P Sun, L Song ACM Computing Surveys 56 (7), 1-38, 2024 | 41 | 2024 |
| Constructing robust community structure against edge-based attacks S Wang, J Liu IEEE Systems Journal 13 (1), 582-592, 2018 | 31 | 2018 |
| DSDCLA: Driving style detection via hybrid CNN-LSTM with multi-level attention fusion J Liu, Y Liu, D Li, H Wang, X Huang, L Song Applied Intelligence 53 (16), 19237-19254, 2023 | 29 | 2023 |
| Amp-net: Appearance-motion prototype network assisted automatic video anomaly detection system Y Liu, J Liu, K Yang, B Ju, S Liu, Y Wang, D Yang, P Sun, L Song IEEE Transactions on Industrial Informatics, 2023 | 28 | 2023 |
| Spatio-temporal domain awareness for multi-agent collaborative perception K Yang, D Yang, J Zhang, M Li, Y Liu, J Liu, H Wang, P Sun, L Song Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 27 | 2023 |
| Dynamic local aggregation network with adaptive clusterer for anomaly detection Z Yang, P Wu, J Liu, X Liu European Conference on Computer Vision, 404-421, 2022 | 26 | 2022 |
| Aide: A vision-driven multi-view, multi-modal, multi-tasking dataset for assistive driving perception D Yang, S Huang, Z Xu, Z Li, S Wang, M Li, Y Wang, Y Liu, K Yang, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 24 | 2023 |
| Weakly supervised audio-visual violence detection P Wu, X Liu, J Liu IEEE Transactions on Multimedia 25, 1674-1685, 2022 | 23 | 2022 |
| Look, listen and pay more attention: Fusing multi-modal information for video violence detection DL Wei, CG Liu, Y Liu, J Liu, XG Zhu, XH Zeng ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 20 | 2022 |
| MSAF: Multimodal supervise-attention enhanced fusion for video anomaly detection D Wei, Y Liu, X Zhu, J Liu, X Zeng IEEE Signal Processing Letters 29, 2178-2182, 2022 | 18 | 2022 |
| Distributional and spatial-temporal robust representation learning for transportation activity recognition J Liu, Y Liu, W Zhu, X Zhu, L Song Pattern Recognition 140, 109568, 2023 | 16 | 2023 |
| How2comm: Communication-efficient and collaboration-pragmatic multi-agent perception D Yang, K Yang, Y Wang, J Liu, Z Xu, R Yin, P Zhai, L Zhang Advances in Neural Information Processing Systems 36, 2024 | 15 | 2024 |
| Exploiting spatial-temporal correlations for video anomaly detection M Zhao, Y Liu, J Liu, X Zeng 2022 26th International Conference on Pattern Recognition (ICPR), 1727-1733, 2022 | 14 | 2022 |
| Osin: Object-centric scene inference network for unsupervised video anomaly detection Y Liu, Z Guo, J Liu, C Li, L Song IEEE Signal Processing Letters 30, 359-363, 2023 | 11 | 2023 |
| Learning causality-inspired representation consistency for video anomaly detection Y Liu, Z Xia, M Zhao, D Wei, Y Wang, S Liu, B Ju, G Fang, J Liu, L Song Proceedings of the 31st ACM International Conference on Multimedia, 203-212, 2023 | 10 | 2023 |
| Stochastic video normality network for abnormal event detection in surveillance videos Y Liu, D Yang, G Fang, Y Wang, D Wei, M Zhao, K Cheng, J Liu, L Song Knowledge-Based Systems 280, 110986, 2023 | 9 | 2023 |
| MSN-net: Multi-scale normality network for video anomaly detection Y Liu, D Li, W Zhu, D Yang, J Liu, L Song ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 8 | 2023 |
Liang SongFudan University, University of Toronto (Adjunct)在 ieee.org 的电子邮件经过验证
