PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model. - Zhiyuan Wang 006; Xovee Xu; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong; Fan Zhou 002 (AAAI, 2022)

Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract). - Zhiyuan Wang 006; Fan Zhou 002; Kunpeng Zhang 001; Yong Wang 046 (AAAI, 2022)

Connecting the Hosts: Street-Level IP Geolocation with Graph Neural Networks. - Zhiyuan Wang 006; Fan Zhou 002; Wenxuan Zeng; Goce Trajcevski; Chunjing Xiao; Yong Wang 046; Kai Chen 005 (KDD, 2022)

Learning Latent Seasonal-Trend Representations for Time Series Forecasting. - Zhiyuan Wang 006; Xovee Xu; Weifeng Zhang; Goce Trajcevski; Ting Zhong; Fan Zhou 002 (NeurIPS, 2022)

HydroFlow: Towards probabilistic electricity demand prediction using variational autoregressive models and normalizing flows. - Fan Zhou 002; Zhiyuan Wang 006; Ting Zhong; Goce Trajcevski; Ashfaq Khokhar 001 (Int. J. Intell. Syst., 2022)

Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting (Student Abstract). - Zhiyuan Wang 006; Fan Zhou 002; Goce Trajcevski; Kunpeng Zhang 001; Ting Zhong (AAAI, 2023)

DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization (Student Abstract). - Weifeng Zhang; Zhiyuan Wang 006; Kunpeng Zhang 001; Ting Zhong; Fan Zhou 002 (AAAI, 2023)

Dynamic transformer ODEs for large-scale reservoir inflow forecasting. - Xovee Xu; Zhiyuan Wang 006; Fan Zhou 002; Ying Huang; Ting Zhong; Goce Trajcevski (Knowl. Based Syst., 2023)

Reservoir Inflow Forecasting in Hydropower Industry: A Generative Flow-Based Approach. - Fan Zhou 002; Zhiyuan Wang 006; Dajiang Chen; Kuan Zhang 001 (IEEE Trans. Ind. Informatics, 2023)

Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference. - Xovee Xu; Zhiyuan Wang 006; Qiang Gao 003; Ting Zhong; Bei Hui; Fan Zhou 002; Goce Trajcevski (IEEE Trans. Big Data, 2023)