BIOGRAPHY
I am a second-year PhD student at UC San Diego department of Computer Science and Engineering advised by Prof. Rose Yu, previously at Northeastern University. I received my Bachelor degree of science in Applied Mathematics from Huazhong University of Science and Technology. My research interests are in spatiotemporal learning and physics-informed deep learning.
Publications
NeurIPS, Interpretable Inductive Bias and Physically Structured Learning Workshop, 2020
Contributed Talk at NeurIPS, Machine Learning in Public Health Workshop, 2020
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2020
Computing in Cardiology 2020
Contributed Talk at NeurIPS, Machine Learning for Physical Sciences Workshop, 2019
Frontiers in Genetics 2018
Experiences
- ODEs-informed time series forecasting.
- Towards Physics-informed Deep Learning for Turbulent Flow Prediction.
- Aortic Pressure Forecasting with Deep Sequence Learning
- Special Topics in Artificial Intelligence.
- Healthy Heart Index, patients’ survival probabilities prediction.
- TRACE (Teacher Rating and Course Evaluation) data evaluation with Bayesian Binomial Regression.
Awards/Honors
Student Registration Award
- KDD (2020)
Graduate Fellowship
- Northeastern University (2019)
Best Co-op Prize
- Abiomed Inc. (2018)
Outstanding Undergraduate
- Huazhong University of Science and Technology (2017)
Scholarship for Outstanding Learning
- Huazhong University of Science and Technology (2014 - 2017)
National Scholarship
- Huazhong University of Science and Technology (2014)