BIOGRAPHY
I am a PhD Candidate at UC San Diego department of Computer Science and Engineering advised by Prof. Rose Yu. I received my Bachelor degree in Mathematics from Huazhong University of Science and Technology and Master degree in Data Science from Northeastern University.
My research primarily lies in deep learning, especially for spatiotemporal data. In particular, I’m interested into building accurate, interpretable and generalizable deep forecasting models for large-scale real-world data. My works have been applied to forecasting spatiotemporal systems in finance, epidemiology, healthcare, traffic and physical sciences. For more details, see my CV and google scholar.
I am on job market this year, looking for research positions in AI.
Selected Publications
International Conference on Learning Representations (ICLR) 2023
Advances in Neural Information Processing Systems (NeurIPS) 2022
In submission to ACM Computing Survey
International Conference on Machine Learning (ICML) 2022
Annual Conference on Innovative Applications of Artificial Intelligence (IAAI) 2022
International Conference on Learning Representations (ICLR) 2021
Annual Conference on Learning for Dynamics and Control (L4DC) 2021
Best Paper Award at NeurIPS, Machine Learning in Public Health Workshop 2020
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2020
Computing in Cardiology 2020
Experiences
Selected Invited Talks
Frontiers of Machine Learning and Artificial Intelligence
- University of Southern California (11/2022)
Deep Learning with Low-Dimensional Models Symposium
- SIAM Conference (09/2022)
M2LInES project team
- Columbia University (07/2022)
AI Research Seminar
- UC San Diego (02/2022)
Scripps Institution of Oceanography
- UC San Diego (11/2021)
Artificial Intelligence in Astronomy Group
- University Of São Paulo (11/2021)
Scientific Machine Learning Webinar Series
- Carnegie Mellon University (10/2021)
Data Driven Physics Simulation Seminar
- Lawrence Livermore National Laboratory (07/2021)
Data Science and Machine Learning Seminar
- Agency for Science, Technology and Research (06/2021)
Spatiotemporal Reading Group
- National Energy Research Scientific Computing Center (05/2020)