About me

I’m Shuyuan Xu, currently a Research Scientist at ByteDance. Before that I received PhD degree in Computer Science from Rutgers University in 2024, under the supervision of Prof. Yongfeng Zhang, M.S. degree from Rutgers University in 2019 and B.S. degree from Ocean University of China in 2017.

My research interests lie in the intersection of Machine Learning and Information Retrieval. My recent research focuses on Recommender Systems, Economic Recommendation, Explainable Recommendation, Fairness-aware Recommendation, Causal Recommendation, and Large Language Models for Recommendation.

Education and Experience

• Research Scientist, ByteDance, 2024 -
• PhD in Computer Science, Rutgers University, USA, 2019 - 2024
• Research Intern, Walmart Labs, USA, May 2022 - Sep 2022
• Research Intern, Walmart Labs, USA, Jun 2021 - Oct 2021
• M.S. in Computer Science, Rutgers University, USA, 2017 - 2019
• B.S. in Mathematics and Applied Mathematics, Ocean University of China, China, 2013 - 2017

Tutorial

• Tutorial on Large Language Models for Recommendation, RecSys 2023 [website]
• Tutorial on Advances in Simulation Technology for Web Applications, WebConf 2023 [website]

Academic Services

• Journal Reviewers:
  • ACM Transactions on Intelligent Systems and Technology
  • ACM Transactions on Information Systems
  • ACM Transactions on Recommender Systems
  • IEEE Transactions on Knowledge and Data Engineering
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
• Conference PC Members and Reviewers:
  • 2024: SIGIR, KDD
  • 2023: WebConf, SIGIR, KDD, RecSys
  • 2022: AAAI, WebConf, SIGIR
  • 2021: KDD
  • 2020: ICTIR, RecSys, CIKM