Sensor selection on graphs via data-driven node sub-sampling in network time series. - Yiye Jiang; Jérémie Bigot; Sofian Maabout (CoRR, 2020)

Wasserstein multivariate auto-regressive models for modeling distributional time series and its application in graph learning. - Yiye Jiang (CoRR, 2022)

Multi-Domain Based Dynamic Graph Representation Learning for EEG Emotion Recognition. - Hao Tang; Songyun Xie; Xinzhou Xie; Yujie Cui; Bohan Li; Dalu Zheng; Yu Hao; Xiangming Wang; Yiye Jiang; Zhongyu Tian (IEEE J. Biomed. Health Informatics, 2024)

Online graph topology learning from matrix-valued time series. - Yiye Jiang; Jérémie Bigot; Sofian Maabout (Comput. Stat. Data Anal., 2025)