I am a second-year Ph.D. student in Language Technologies Institute, Carnegie Mellon University. I am fortunately advised by Prof. Yiming Yang. Before that, I received my M.S. in Computer Science from University of Illinois at Urbana-Champaign in 2022, and B.S.E in Computer Science from University of Michigan and B.S in Electrical and Computer Engineering from Shanghai Jiao Tong University in 2020.

I am generally interested in the research of Graph Neural Networks and Reinforcement Learning. My recent research focuses on the development of neural combinatorial optimization solvers.

Education

• Ph.D. in Language and Information Technologies, Carnegie Mellon University, Aug. 2022 - Present
  • Advisor: Yiming Yang
• M.S. in Computer Science, University of Illinois at Urbana-Champaign, Aug. 2020 - May 2022
  • Advisor: Hanghang Tong
• B.S.E in Computer Science, University of Michigan, Aug. 2018 - May 2020
  • Advisor: Honglak Lee
• B.S. in Electrical and Computer Engineering, Shanghai Jiao Tong University, Sep. 2016 - Aug. 2020

Work experience

• Microsoft Research, May 2022 - Aug. 2022
  • Research Intern on the knowledge graph enhanced news summarization
• Intel AI Lab, May 2021 - Aug. 2021
  • Research Intern on the dynamic scene graph generation

Service

• Reviewer for NeurIPS (2021-2023), ICLR (2022-2024) and ICML (2022-2023)