Qinze Yu(余沁泽)  

Ph.D. student
Department of Computer Science and Engineering

Email: qinze979ATgmail.com


I am currently a Ph.D. student at Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK), supervised by Prof. Yu Li. Before that, I obtained my Bachelor's degree from UESTC, supervised by Prof. Xucheng Luo.

Research Interests

Deep Learning, Bioinformatics, NLP, AI for Healthcare.

Selected Awards

2019 National Scholarship of China

Publications (*equal contribution, #corresponding)

  1. A machine learning-based risk score for prediction of infective endocarditis among patients with Staphylococcus aureus bacteraemia - The SABIER score
    C.Lai#, E.Leung, Y.He, C-C.Cheung, O.Mui, Q.Yu, T.Li, A.Lee, Y.Li, C-Y.Lui
    The Journal of Infectious Diseases, 2024.[Full text]
  2. Unbiased organism-agnostic and highly sensitive signal peptide predictor with deep protein language model
    J.Shen*, Q.Yu*, S.Chen*, Q.Tan, J.Li, Y.Li#
    Nature Computational Science, 2023.[Full text]
  3. Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning
    Z.Hu*, Q.Yu*, Y.Guo, T.Wang, I.King, X.Gao#, L.Song#, Y.Li#
    RECOMB, 2023.[Full text]
  4. Session-based Recommendation Via Contrastive Learning On Heterogeneous Graph
    H.Li, X.Luo#, Q.Yu, H.Wang
    IEEE Bigdata, 2021.[Full text]


TA - BMEG3105: Data analytics for personalized genomics and precision medicine, Fall 2022, Fall 2023
TA - CSCI3320: Fundamentals of Machine Learning, Spring 2023
TA - ENGG2020: Digital Logic and Systems, Spring 2024