| Continuous-time stochastic differential networks for irregular time series modeling Y Liu, Y Xing, X Yang, X Wang, J Shi, D Jin, Z Chen, J Wu Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | 5 | 2021 |
| Learning continuous-time dynamics by stochastic differential networks Y Liu, Y Xing, X Yang, X Wang, J Shi, D Jin, Z Chen arXiv preprint arXiv:2006.06145, 2020 | 4 | 2020 |
| HDG-ODE: A Hierarchical Continuous-Time Model for Human Pose Forecasting Y Xing, X Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
| AI‐Grid: AI‐Enabled, Smart Programmable Microgrids P Zhang, Y Zhou, SA Smolka, SD Stoller, X Wang, R Zhao, T Ling, Y Xing, ... Microgrids: Theory and Practice, 7-58, 2024 | | 2024 |
| AGGDN: A Continuous Stochastic Predictive Model for Monitoring Sporadic Time Series on Graphs Y Xing, J Wu, Y Liu, X Yang, X Wang Neural Information Processing: 30th International Conference, ICONIP 2023 …, 2023 | | 2023 |
| Multi-person 3D Pose Estimation from Monocular Image Sequences R Li, N Xu, X Lu, Y Xing, H Zhao, L Niu, L Zhang Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019 | | 2019 |
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