Curriculum Vitae

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Education Background

  • Doctor of Philosophy, University of California at Los Angeles, 2022-2027 (expected)
  • Master of Engineering, Institute of Automation, Chinese Academy of Sciences, 2019–2022
    • Be recommended for admission with exam exempted
    • Advisors: Profs. Tieniu Tan and Shu Wu
    • Thesis title: Self-Supervised Representation Learning on Graph-Structured Data
    • Committee: Xilin Chen (Chair), Zhouchen Lin, Ji-Rong Wen, Jiwen Lu, Peng Cui, and Shiming Xiang
  • Bachelor of Engineering, Tongji University, 2015–2019
    • Major in Software Engineering
    • Graduated with honors
    • Overall GPA: 4.71/5.0
    • Rank: 8/160 (5.0%)

Academic Services

  • Conference Organizers:
    • Organizing Committee Member, LoG 2022
    • Session Chair, WWW 2022
  • Conference PC Members:
    • NeurIPS 2022, 2021, 2020
    • KDD 2022
    • ICML 2022, 2021
    • ICLR 2022, 2021
    • AAAI 2022, 2021
    • WWW 2021
    • ECML-PKDD 2021, 2020
  • Journal Reviewers:
    • IEEE Trans. Pattern Anal. Mach. Intell.
    • IEEE Trans. Med. Imaging
    • IEEE Trans. Neural Netw. Learn. Syst.
    • IEEE Trans. Signal Inf. Process. Netw.
    • Inf. Process. Manag.
    • Int. J. Intell. Syst.
    • Neural Process. Lett.

Selected Honors and Awards

  • Graduate Dean’s Scholar Award, University of California at Los Angeles (2022)
  • National Scholarship, The Ministry of Education of China (2021, 2017)
  • NeurIPS Outstanding Reviewer Award (2021)
  • SIGMM Student Travel Grant Award (2021)
  • SIGIR Student Travel Award (2021)
  • ICML Participation Grant (2021)
  • Outstanding Student, University of Chinese Academy of Sciences (2021, 2020)
  • Outstanding Undergraduate Thesis of Tongji University (2019)
  • AAAI Student Scholarship (2019)
  • Pacemaker to Outstanding Undergraduate Student, Tongji University (2018)

Mentorship

  • Mr. Yichen Xu
    • Bachelor at Beijing University of Posts and Telecommunications
    • Incoming PhD student at School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne (EPFL)