| Self-attention convlstm for spatiotemporal prediction Z Lin, M Li, Z Zheng, Y Cheng, C Yuan Proceedings of the AAAI conference on artificial intelligence 34 (07), 11531 …, 2020 | 228 | 2020 |
| Learning to run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments Ł Kidziński, SP Mohanty, CF Ong, Z Huang, S Zhou, A Pechenko, ... The NIPS'17 Competition: Building Intelligent Systems, 121-153, 2018 | 92 | 2018 |
| SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization Z Lin, T Yang, M Li, Z Wang, C Yuan, W Jiang, W Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 45 | 2022 |
| Self-adaptive double bootstrapped DDPG Z Zheng12, C Yuan, Y Cheng12 International Joint Conference on Artificial Intelligence, 2018 | 23 | 2018 |
| CMS-LSTM: context-embedding and multi-scale spatiotemporal-expression LSTM for video prediction Z Chai, C Yuan, Z Lin, Y Bai arXiv preprint arXiv:2102.03586, 2021 | 12 | 2021 |
| CMS-LSTM: Context embedding and multi-scale spatiotemporal expression LSTM for predictive learning Z Chai, Z Xu, Y Bail, Z Lin, C Yuan 2022 IEEE International Conference on Multimedia and Expo (ICME), 01-06, 2022 | 10 | 2022 |
| HAF-SVG: Hierarchical stochastic video generation with aligned features Z Lin, C Yuan, M Li Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 7 | 2021 |
| Self-supervised mixture-of-experts by uncertainty estimation Z Zheng, C Yuan, X Zhu, Z Lin, Y Cheng, C Shi, J Ye Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5933-5940, 2019 | 6 | 2019 |
| Stochastic video generation with disentangled representations M Li, C Yuan, Z Lin, Z Zheng, Y Cheng 2019 IEEE International Conference on Multimedia and Expo (ICME), 224-229, 2019 | 3 | 2019 |
| A very deep sequences learning approach for human action recognition Z Lin, C Yuan MultiMedia Modeling: 22nd International Conference, MMM 2016, Miami, FL, USA …, 2016 | 3 | 2016 |
| A Video is Worth 256 Bases: Spatial-Temporal Expectation-Maximization Inversion for Zero-Shot Video Editing M Li, Y Li, T Yang, Y Liu, D Yue, Z Lin, D Xu arXiv preprint arXiv:2312.05856, 2023 | | 2023 |
| Conditional Kronecker Batch Normalization for Compositional Reasoning C Shi12, C Yuan, J Cai, Z Zheng12, Y Cheng12 | | 2018 |
| Supplementary Material for “SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization” Z Lin, T Yang, M Li, Z Wang, C Yuan, W Jiang, W Liu | | |
