| Learning Latent Seasonal-Trend Representations for Time Series Forecasting Z Wang, X Xu, G Trajcevski, W Zhang, T Zhong, F Zhou NeurIPS 2022, 2022 | 40 | 2022 |
| Connecting the Hosts: Street-Level IP Geolocation with Graph Neural Networks Z Wang, F Zhou, W Zeng, G Trajcevski, C Xiao, Y Wang, K Chen SIGKDD 2022, 4121-4131, 2022 | 9 | 2022 |
| PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model Z Wang, X Xu, G Trajcevski, K Zhang, T Zhong, F Zhou AAAI 2022, 2022 | 7 | 2022 |
| HydroFlow: Towards probabilistic electricity demand prediction using variational autoregressive models and normalizing flows F Zhou, Z Wang, T Zhong, G Trajcevski, A Khokhar International Journal of Intelligent Systems, 2022 | 6 | 2022 |
| Reservoir Inflow Forecasting in Hydropower Industry: A Generative Flow-based Approach F Zhou, Z Wang, D Chen, K Zhang IEEE Transactions on Industrial Informatics, 2022 | 3 | 2022 |
| Dynamic transformer ODEs for large-scale reservoir inflow forecasting X Xu, Z Wang, F Zhou, Y Huang, T Zhong, G Trajcevski Knowledge-Based Systems 276, 110737, 2023 | 2 | 2023 |
| Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract) Z Wang, F Zhou, K Zhang, Y Wang AAAI 2022, 2022 | 1 | 2022 |
| DyCVAE: learning dynamic causal factors for non-stationary series domain generalization (student abstract) W Zhang, Z Wang, K Zhang, T Zhong, F Zhou Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16382 …, 2023 | | 2023 |
| Learning dynamic temporal relations with continuous graph for multivariate time series forecasting (student abstract) Z Wang, F Zhou, G Trajcevski, K Zhang, T Zhong Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16358 …, 2023 | | 2023 |
Fan Zhou (周帆)University of Electronic Science and Technology of China在 uestc.edu.cn 的电子邮件经过验证
