- Published multiple papers in top conferences such as NeurIPS, CVPR, ICLR, ICRA, ICDM, and NAACL
- 2024 Best Research Assistant Award at USC
- 2024 Graduate School Endowed Fellowship
- 2024 Invited talks on Time Series Foundation Model in QuantLLM Community, Lehigh University, and Emory University
- 2023 Invited talk at Google Sustainable Urban Mobility: Simulation and Optimization Workshop
- 2022 Paper on Representation Learning accepted by CVPR
- 2022 Paper on Neural Operator accepted by ICLR
- 2021 Organized ICAIF 2021 workshop - Time Series in Finance
Research Experience
- Summer 2024: Quantitative Researcher at Cubist Systematic Strategies
- Summer 2023: Research Assistant at MBZUAI, working with Prof. Kun Zhang and Prof. Biwei Huang
- Summer 2022: Research Intern at Adobe Research, mentored by Dr. Zhaowen Wang
- Previous internships at Microsoft Research Asia (twice) and Alibaba Damo Academy’s Data Analytics and Intelligence Lab, advised by Dr. Yujing Wang and Dr. Jingren Zhou respectively
- First internship: Baidu, 7 years ago
Education
- Ph.D. in Computer Science from the University of Southern California, advised by Prof. Yan Liu
- Master's Degree from Peking University, School of EECS, co-advised by Prof. Xu Cheng and Prof. Xianhua Liu
Background
- Research Interests: Developing advanced machine learning and data mining algorithms, particularly for time series foundation models
- Professional Field: Causal inference, graph neural networks, spectral domain representation, interpretability, and robustness
- Introduction: Aims to create models that demonstrate a deep understanding of temporal patterns and dynamics in various domains, including spatio-temporal and relational data.