Education

• Ph.D. in Computer Science, University of California, Los Angeles (UCLA), 2023 (expected)
• Master of Science in Computer Science, Arizona State University (ASU), 2017
• Bachelor of Engineering in Software Engineering, Sichuan University (SCU), 2015

Resume

Download my CV (Updated: 02/06/2023)

Work Experience

• Research Intern (June 2023 – Sept. 2023)
  • Company: Intel Labs
  • Duties: Explore LLM for logical reasoning.
  • Supervisor: Nesreen K. Ahmed
• Research Intern (June 2022 – Sept. 2022)
  • Company: Intel Labs
  • Duties: Develop logical rule learning framework for knowledge graph reasoning.
  • Supervisor: Nesreen K. Ahmed
• Applied Scientist (June 2021 – Dec. 2021)
  • Company: Amazon Product Graph Team (PG)
  • Duties: Develop a novel Transformers-based model for automatic data cleaning purposes.
  • Supervisor: Xian Li, Yifan Ethan Xu, Xin Luna Dong
• Applied Scientist (June 2020 – Dec. 2020)
  • Company: Amazon Product Graph Team (PG)
  • Duties: Develop an end-to-end embedding learning framework, PGE, to jointly leverage both text information and graph structure in PG to learn embeddings for error detection.
  • Supervisor: Xian Li, Yifan Ethan Xu, Xin Luna Dong
• Research Intern (Mar. 2018 – Aug. 2018)
  • Company: Webank
  • Duties: Develop an open-source lossless privacy-preserving tree-boosting system known as SecureBoost in the setting of federated learning.
  • Supervisor: Prof. Qiang Yang
• Research Intern (Aug. 2017 – Dec. 2017)
  • Company: MSRA
  • Duties: Investigated cold start link prediction by leveraging HIN (heterogeneous information network) among users.
  • Supervisor: Prof. Xing Xie
• Research Intern (May 2017 – Aug. 2017)
  • Company: Didi
  • Duties: Investigated cold start link prediction by leveraging HIN (heterogeneous information network) among users.