Fuyuan Lyu

McGill University

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I’m currently a Ph.D. candidate at McGill University and Mila. I am fortunate to be advised by Prof Jin L.C. Guo and Prof Xue Liu.

Before joining McGill, I got my bachelor’s degree in Computer Science and Zhiyuan Honour Degree in Engineering from Shanghai Jiao Tong University(SJTU). I was advised by Prof Li Jiang for my thesis and worked with Prof Xiaokang Yang. I also worked with Prof Weichen Liu as a visiting research student at Nanyang Technological University(NTU).

I am passionate about building Automated Feature Engineering for E3: Effectiveness, Efficiency and Exaplainability. I am actively working on its application in various domains, including recommender systems, advertisement, finance, and software engineering.

Email:

  • FIRST_NAME DOT LAST_NAME AT MAIL DOT MCGILL DOT CA
  • FIRST_NAME DOT LAST_NAME AT MILA DOT QUEBEC

news

Jan 22, 2025 One paper got accepted by ICLR 2025
Oct 23, 2024 One paper got accepted by WSDM 2025
Aug 15, 2024 One paper got accepted by EMNLP 2024 Main Track
Aug 15, 2024 I have been awarded National Scholarship for Outstanding Oversea Students
Jul 29, 2024 One paper got accepted by Recsys 2024 Research Track

selected publications

2025

  1. CoRR
    What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models
    Qiyuan ZhangFuyuan LyuZexu Sun, Lei Wang, Weixu Zhang, Zhihan Guo, Yufei Wang, Irwin King, Xue Liu, and Chen Ma
    In CoRR, 2025

2024

  1. EMNLP
    Collaborative Performance Prediction for Large Language Models
    Qiyuan ZhangFuyuan LyuXue Liu, and Chen Ma
    In EMNLP, 2024

2023

  1. NeurIPS
    Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network
    Fuyuan LyuXing TangDugang LiuChen Ma, Weihong Luo, Xiuqiang He, and Xue Liu
    In NeurIPS, 2023
  2. WWW
    Optimizing Feature Set for Click-Through Rate Prediction
    Fuyuan LyuXing TangDugang Liu, Chen Liang, Xiuqiang He, and Xue Liu
    In WWW, 2023