Short Bio

I completed my undergraduate and doctoral studies at Beihang University's School of Computer Science and Engineering, earning my Bachelor's degree in 2014 and my Ph.D. in 2020, respectively, under the mentorship of Professor Shuai Ma. Thanks to the support of the China Scholarship Council, I had the opportunity to visit the Data Mining group at Rutgers, the State University of New Jersey from September 2017 to April 2018, where I collaborated with Dr. Hui Xiong. Subsequently, from May 2018 to September 2019, I served as a research intern at Business Intelligence Lab, Baidu Research. Currently, I am employed as an algorithm engineer at Alibaba Group since July 2020, focusing on developing robust machine learning methodologies and evaluating large language models.
My research interests encompass approximate computations on big data [APX], graph- and relation-centric representation learning [GRL], and robust as well as explainable machine learning [Robust]. More recently, I have delved into the understanding and evaluation of large language models [LLM], aiming to contribute to advancements in this cutting-edge field.

Publications

Experience and Professional Services

  • Algorithm engineer, Alibaba Group, July 2020 - present
  • Research intern, Baidu Business Intelligence Lab, May 2018 - September 2019
  • Visiting student, Rutgers University, September 2017 - April 2018

  • Journal reviewers: IEEE Transactions on Big Data (TBD), IEEE Transactions on Cybernetics, IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
  • Conference reviewers: IJCAI SPC (2021-2023), AAAI 2021

Honors and Awards

  • Excellent Graduate Student of Beihang University, 2020
  • Visiting Scholarship granted by China Scholarship Council, 2017
  • China National Scholarship for Graduates, 2017
  • WSDM Cup 2016 - Entity Ranking Challenge, 6/30 in the first round and the 2nd place (2/8) in the final ranking, 2016

Misc