Qinze Yu(余沁泽)   Ph.D. student Department of Computer Science and Engineering CUHK Email: qinze979ATgmail.com

Biography

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)

4. 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]
5. 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]
6. 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]
7. Session-based Recommendation Via Contrastive Learning On Heterogeneous Graph
   H.Li, X.Luo^#, Q.Yu, H.Wang
   IEEE Bigdata, 2021.[Full text]

Teaching

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