I’m currently a Ph.D. candidate in the Department of Computer Science at New Jersey Institute of Technology, advised by Prof. Guiling (Grace) Wang. I received my M.S. degree in Data Science (Statistics track) from Rutgers University, New Brunswick in 2019, and Bachelor’s degree in Economics & Statistics from Xiamen University in 2017.

Research Interest

I’m interested in Applied Machine Learning and Data Mining, especially Adversarial Learning, Reinforcement Learning, Graph Neural Networks, and Natural Language Processing with applications to real-world scenarios (e.g. Financial Time Series, Portfolio Management, Molecular Representation Learning, Computer Vision, and Traffic Light Control)

Recent News

• 03/2024: I am glad to join Regeneron Genetics Center as an PhD Intern at Clinical Informatics this summer at Tarrytown, NJ.
• 11/2023: Our paper “Self-Supervised Learning for User Localization” is accepted by International Conference on Computing, Networking and Communications (ICNC 2024).
• 09/2023: Our paper “Margin Trader: A Reinforcement Learning Framework for Portfolio Management with Margin and Constraints” is accepted with oral presentation by 4th ACM International Conference on AI in Finance (ICAIF 2023).
• 05/2023: I am glad to join Samsung Display America Lab as an AI/ML Research Intern this summer at San Jose, CA.
• 04/2023: Presented two papers at IEEE 39th International Conference on Data Engineering Workshops on Big Data Analytics in Finance and Commerce (ICDE 2023).
• 11/2022: Our paper “SafeLight: A Reinforcement Learning Method toward Collision-free Traffic Signal Control” is accepted by AAAI Conference on Artificial Intelligence (AAAI 2023).