| Actional-structural graph convolutional networks for skeleton-based action recognition M Li, S Chen, X Chen, Y Zhang, Y Wang, Q Tian Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1279 | 2019 |
| Dynamic multiscale graph neural networks for 3d skeleton based human motion prediction M Li, S Chen, Y Zhao, Y Zhang, Y Wang, Q Tian Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 369 | 2020 |
| Symbiotic graph neural networks for 3d skeleton-based human action recognition and motion prediction M Li, S Chen, X Chen, Y Zhang, Y Wang, Q Tian IEEE transactions on pattern analysis and machine intelligence 44 (6), 3316-3333, 2021 | 230 | 2021 |
| Attribute restoration framework for anomaly detection F Ye, C Huang, J Cao, M Li, Y Zhang, C Lu IEEE Transactions on Multimedia 24, 116-127, 2020 | 208* | 2020 |
| Groupnet: Multiscale hypergraph neural networks for trajectory prediction with relational reasoning C Xu, M Li, Z Ni, Y Zhang, S Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 128 | 2022 |
| Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction M Li, S Chen, Y Zhao, Y Zhang, Y Wang, Q Tian arXiv preprint arXiv:2108.11244 Accepted by IEEE-TIP, 2021 | 77 | 2021 |
| Graph cross networks with vertex infomax pooling M Li, S Chen, Y Zhang, IW Tsang NeurIPS 2020, 2020 | 65 | 2020 |
| Inverse-transform autoencoder for anomaly detection C Huang, J Cao, F Ye, M Li, Y Zhang, C Lu arXiv preprint arXiv:1911.10676 2 (4), 2019 | 62 | 2019 |
| Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network M Li, S Chen, Y Shen, G Liu, IW Tsang, Y Zhang arXiv preprint arXiv:2107.00894, 2021 | 58 | 2021 |
| Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction M Li, S Chen, Z Zhang, L Xie, Q Tian, Y Zhang European Conference on Computer Vision, 2022 | 52 | 2022 |
| Skeleton graph scattering networks for 3d skeleton-based human motion prediction M Li, S Chen, Z Liu, Z Zhang, L Xie, Q Tian, Y Zhang Proceedings of the IEEE/CVF international conference on computer vision, 854-864, 2021 | 34 | 2021 |
| Efficient spatio-temporal contrastive learning for skeleton-based 3-d action recognition X Gao, Y Yang, Y Zhang, M Li, JG Yu, S Du IEEE Transactions on Multimedia 25, 405-417, 2021 | 32 | 2021 |
| Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation C Xu, S Chen, M Li, Y Zhang AAAI 2021, 2020 | 19 | 2020 |
| Sampling and recovery of graph signals based on graph neural networks S Chen, M Li, Y Zhang arXiv preprint arXiv:2011.01412, 2020 | 6 | 2020 |
| Decoupled variational embedding for signed directed networks X Chen, J Yao, M Li, Y Zhang, Y Wang ACM Transactions on the Web (TWEB) 15 (1), 1-31, 2020 | 5 | 2020 |
| Multiscale Graph Scattering Transform G Liu, M Li, S Chen 2022 30th European Signal Processing Conference (EUSIPCO), 812-816, 2022 | 1 | 2022 |
| Liver-Buda-Sage: Simultaneous Whole Liver T2 and T*2 Mapping in one Breath-Hold Z Zhang, H Ye, M Li, H Liu, B Bilgic 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 1 | 2022 |
| Unsupervised Local Facial Attributes Transfer Using Dual Discriminative Adversarial Networks Y Li, M Li, Y Zhang, Y Wang 2018 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2018 | | 2018 |
| Appendix of Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction M Li, S Chen, Z Zhang, L Xie, Q Tian, Y Zhang | | |
Ya ZhangShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
