Learning Latent Seasonal-Trend Representations for Time Series Forecasting Z Wang, X Xu, G Trajcevski, W Zhang, T Zhong, F Zhou NeurIPS 2022, 2022 | 73 | 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 | 19 | 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 | 11 | 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 | 8 | 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 | 7 | 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 | 6 | 2023 |
Measuring and classifying IP usage scenarios: a continuous neural trees approach Z Li, F Zhou, Z Wang, X Xu, L Liu, G Yin Scientific Reports 14 (1), 5144, 2024 | 4 | 2024 |
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 | 4 | 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 |