Yunqi Li

I am a Ph.D. candidate in Computer Science Department at Rutgers University, supervised by Prof. Yongfeng Zhang. My current research interests include:

  • Information Retrieval Applications such as Recommender Systems.
  • AI for social good including Fair, Explainable and Stable Machine Learning.
  • Causal Inference in Machine Learning.


  • Ph.D. in Computer Science, Rutgers University, USA, 2018 - 2023 (Expected)
  • B.S. in Statistics, University of Science and Technology of China, China, 2014 - 2018

Work Experience

  • Meta, Research Intern (AI), May 2022 - Sept. 2022.
  • eBay, Research Intern (AWF), July 2021 - Feb. 2022.

Academic Service

PC Member/Reviewer of: ACM Transactions on Information Systems (TOIS), ACM Transactions on Recommender Systems (TORS), KDD’21, CIKM’21, INFORMS’21, WWW’22, SIGIR’22, ICLR’22, AAAI’23


  • Tutorial on Fairness of Machine Learning in Recommender Systems, SIGIR 2021. [link]

  • Tutorial on Fairness of Machine Learning in Recommender Systems, CIKM 2021.


  1. Graduate Teaching Assistant
    • CS527: Database System for Data Science, Fall 2019.
    • CS550: Massive Data Mining, 2019 Spring.
    • CS672: Computational Economics for Data Analytics, 2018 Fall.
    • CS539: Database Management Systems, 2018 Fall.
  2. Undergraduate Teaching Assistant
    • CS213: Software Methodology, 2021 Spring.
    • CS111: Introduction to Computer Science, 2020 Spring.