experience

Education

  • Visiting Research Student, School of Computer Science, City University of Hong Kong, Hong Kong SAR, Mar 2024 ~ Sep 2024
  • Ph.D. of Computer Science, School of Computer Science, McGill University & MILA, Canada, Sep 2019 ~ Now
  • Visiting Research Student, School of Computer Science and Engineering, Nanyang Technological University, Singapore, Sep 2018 ~ Feb 2019
  • Zhiyuan Honor Degree of Engineering, Shanghai Jiao Tong University, China, Sep 2015 ~ Jun 2019
  • Bachelor of Science, School of Electronics, Information and Electrical Engineering, Shanghai Jiao Tong University, China, Sep 2015 ~ Jun 2019

Industrial

  • RBC Borealis, Montreal, Jan 2025 ~ now
  • FiT Tencent, Shenzhen, Jan 2024 ~ Sep 2024
  • Quantum Technology, Montreal, Nov 2021 ~ Jun 2023

Selected Awards

  • Excellent Reviewer for KDD, 2025
  • National Scholarship for Outstanding Oversea Students, 2024
  • NeurIPS Finanical Aid, 2023
  • SIGIR Travel Grant for CIKM, 2022
  • Wolfe Fellowship in Sci & Tech, 2019-2020
  • Grad Excellence Award, 2019-2024
  • Zhiyuan Honor Degree of Engineering of Shanghai Jiao Tong University(1%), 2019
  • Zhiyuan Oversea Research Scholarship (1st class) of Shanghai Jiao Tong University, 2019
  • Zhiyuan Outstanding Student Scholarship of Shanghai Jiao Tong University(5%), 2019
  • Microsoft Intelligence Award, awarded to 4/438 participants in the 1st HACKxFDU Hackathon, 2016

Academic Service

  • Reviewer:
    • 2025: KDD, AAAI, ICLR, AISTAT, WWW, ICML
    • 2024: AAAI, CIKM, NeurIPS, KDD, TPAMI
    • 2023: WWW, AAAI, CIKM

Teaching & Mentoring

  • Teaching:
    • COMP 303 Software Design, Teaching Assistant, McGill University, 2020 Winter
  • Mentoring:
    • Helen Zhao on Classicial ML, 2025 Winter, McGill BRIDGE Mentorship Program
    • Dowoo Kim on Uncertainty for Treatment Effect Estimation, 2025 Winter, McGill BRIDGE Mentorship Program
    • Carlone Scott on Automatic Data Labeling, 2024 Summer & Fall, Mila Mentorship Program
    • Qiyuan Zhang on LLM Evaluation, 2024 Winter & Summer
    • Kexin Zhang(now RA@UCSD) on Recommender System, 2024 Winter
    • Tim Yang & Tom Yang on LLM-based Feature Selection, 2024 Winter
    • Aasheesh Singh(now MLE@Vector) on Federated Prediction, 2023 Summer & Fall, Mila Mentorship Program
    • Shaoxiang Qin on Fourier Neural Operator, 2023-2024