I am currently a 5th-year Ph.D. student in Department of Computer Science, University of Southern California, advised by Prof. Yan Liu.
I am interested in spatial-temporal data mining with physics-informed machine learning and federated learning approaches.
My email address is chuizhem AT usc DOT edu.
Recent News
[04-20-2022] Our paper “Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data” is accepted by IJCAI 2022.
[02-08-2022] Our paper “Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset” is accepted for publication in Scientific Reports.
[05-16-2021] Our paper “Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling” is accepted by KDD 2021.
[04-29-2021] Our paper “Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning” is accepted by IJCAI 2021.
[02-12-2021] We release our paper “MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset” on arXiv.
[01-13-2020] I gave a talk about our work “Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics” during the 3rd Physics Informed Machine Learning Workshop. [Slides]
[12-19-2019] Our paper “Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics” is accepted by ICLR 2020.