💡 2023

[NeurIPS 2023] FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective,
Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu
Advances in neural information processing systems, Volume 36, Pages 69638-69660, 2023. (CCF A) [pdf] [code]

[NeurIPS 2023] Frequency-domain MLPs are More Effective Learners in Time Series Forecasting,
Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu
Advances in neural information processing systems, Volume 36, Pages 76656-76679, 2023. (CCF A) [pdf] [code]

[IEEE TKDE] Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective,
Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao
IEEE Transactions on Knowledge and Data Engineering, Volume 36(6), Pages 2504-2516, 2023. (CCF A) [pdf] [code]

[Neurocomputing] Cluster-aware attentive convolutional recurrent network for multivariate time-series forecasting,
Simeng Bai, Qi Zhang, Hui He, Liang Hu, Shoujin Wang, Zhendong Niu
Neurocomputing, Volume 558, Pages 126701, 2023. (SCI Q2) [pdf] [code]