Követés
Zhiyuan (Jerry) Wang
Zhiyuan (Jerry) Wang
További nevek王 志远
E-mail megerősítve itt: tamu.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Learning Latent Seasonal-Trend Representations for Time Series Forecasting
Z Wang, X Xu, G Trajcevski, W Zhang, T Zhong, F Zhou
NeurIPS 2022, 2022
682022
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
192022
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
122022
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
82022
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
72022
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
62023
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
42024
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
42023
Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract)
Z Wang, F Zhou, K Zhang, Y Wang
AAAI 2022, 2022
12022
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
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