Aug. 2025: Paper “Bridging known and unknown dynamics by transformer-based machine-learning inference from sparse observations” published in Nature Communications
Feb. 2025: Paper “Detecting Attacks and Estimating States of Power Grids from Partial Observations with Machine Learning” published in PRX Energy
Jul. 2024: Paper “Machine-learning nowcasting of the Atlantic Meridional Overturning Circulation” published in APL Machine Learning
Feb. 2024: Paper “Machine-learning parameter tracking with partial state observation” published in Physical Review Research
Sept. 2023: Paper “Model-free tracking control of complex dynamical trajectories with machine learning” published in Nature Communications and highlighted as a Featured Article in Applied Physics and Mathematics
Serves as a reviewer for journals including Nature Communications, Physical Review X, IEEE Transactions on Neural Networks and Learning Systems, etc.