Image of Xinyi Xu

Ph.D. Candidate
Computer Science, Machine Learning

National University of Singapore
School of Computing, 13, Computing Dr.
Singapore 117417
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I am a fianl year Ph.D. candidate (funded by the A*STAR ACIS Scholarship) in the department of computer science at National University of Singapore (NUS) where I study data centric-AI, LLMs, multi-agent machine learning systems and game theory. My advisors are Bryan Kian Hsiang Low and Chuan-Sheng Foo and my thesis is on "Fair Data Valuation in Collaborative Machine Learning". My research interests include data-centric machine learning, multi-agent machine learning systems, data sharing and incentive mechanisms. Prior to my Ph.D., I received my Bachelor degrees in computing and applied mathematics (a double-degree programme) from NUS in 2019; I have also spent time as an algorithm developer intern at Ant Financial (Hangzhou, China) and Sensetime (Singapore).

In 2022-23, I was fortunate to spend time at CyLab in ECE of Carnegie Mellon University, advised by Giulia Fanti and supported by A*STAR. In 2024, I was fortunate to spend time at SAIL in EECS of Unversity of California, Berkeley, advised by Michael I. Jordan.

Research Experience

  • 2024/2 - 2024/7: University of California, Berkeley (UCB), EECS.
    Visiting Scholar hosted and advised by Michael I. Jordan.
  • 2022/8 - 2023/4: Carnegie Mellon University (CMU), ECE.
    Visiting Scholar hosted and advised by Giulia Fanti.
  • 2019/8 - 2020/7: National University of Singapore (NUS), Dept. of CS.
    Research assistant advised by Leong Tze-Yun.

Education

  • 2020 - present: National University of Singapore (NUS), Dept. of CS.
    Ph.D. in Computer Science, supported by ACIS scholarship.
  • 2015 - 2019: National University of Singapore (NUS), Dept. of CS.
    B.Comp. in Computing, supported by Science and Technology Scholarship. Highest distinction with Honours. Turing Programme. Double-degree Programme.
  • 2015 - 2019: National University of Singapore (NUS), Faculty of Science.
    B.Sci. in Applied Mathematics, supported by Science and Technology Scholarship. Double-degree Programme.

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