BIOGRAPHY
I am a PhD student at UC San Diego department of Computer Science and Engineering, advised by Prof. Rose Yu and Prof. Yian Ma. I received my Bachelor degree of science in Applied Math, Physics, and Computer Sciences from the University of Wisconsin-Madison in 2020. My research primarily lies in Bayesian Deep Learning, especially for spatiotemporal data. My works have been applied to forecasting spatiotemporal systems in epidemiology, traffic and climate science.
Publications
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2023
International Conference on Machine Learning (ICML) 2023
ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (BCB) 2022
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2022
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2021
Proceedings of the National Academy of Sciences, 2022, 119.15: e2113561119.
Computational Materials Science, 2021, 197: 110560.
Computational Materials Science, 2021, 197: 110560.
Experiences
- Spearheaded the uncertainty quantification study for spatiotemporal forecasting, compared Bayesian and Frequentist methods on traffic and COVID-19 predictions.
- Spearheaded the causal inference study on multivariate point processes.
Awards/Honors
HDSI Ph.D. Fellowship (2021-2024), top 10 in admitted HDSI Ph.D. students
- UC San Diego (2021)
College of Letters & Science Dean’s List
- UW–Madison (2018, 2019)
Undergraduate Summer Scholarship
- UW-Madison (2018)
The First Prize in China Region and the Fourth Prize in the final
- The Third Hong Kong International Chamber Music Competition (2016)