Resume
Academic Achievements
- Published several papers including 'Unlocking the Potential of Text-to-Image Diffusion with PAC-Bayesian Theory' (In Submission), 'Statistical guarantees for lifelong reinforcement learning using pac-bayesian theory' (AISTATS 2025), 'Quantile Additive Trend Filtering' (AISTATS 2025), 'Multivariate Time Series Forecasting By Graph Attention Networks With Theoretical Guarantees' (AISTATS 2024), 'Reinforcement Learning Under a Multi-agent Predictive State Representation Model: Method and Theory' (ICLR2022 Spotlight), 'Integrating Independent and Centralized Multi-agent Reinforcement Learning for Traffic Signal Network Optimization' (AAMAS 2020 Extended Abstract), etc.
Research Experience
- Involved in multiple research projects including deep learning models for the 3D binding affinity of proteins, Predictive Platform for Fast Antibiotic Susceptibility Test, Simulated Intelligent Robot Tracking Agent, etc.
Education
- Ph.D. student in Statistics at UCLA, advisor information not provided.
Background
- Ph.D. student in Statistics at UCLA. Research interests include: High-dimensional nonparametric statistics, Deep graph neural networks, Multi-agent reinforcement learning, Optimization with optimal control, Statistical inference for Epidemiology.
Miscellany
- Personal interests and other information not provided.