Qinze Yu(余沁泽)

Ph.D. student
Department of Computer Science and Engineering
CUHK

Email: qinze979ATgmail.com
ORCID

Biography

I am currently a Ph.D. candidate at the 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 in 2022, 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)

Revisiting the Epitaxial Growth Mechanism of 2D TMDC Single Crystals
C.Li, F.Zheng, J.Min, N.Yang, Y.Chang, H.Liu, Y.Zhang, P.Yang, Q.Yu, Y.Li, Z.Luo, A.Alijarb, K.Shih, J.Huang, L.Li^#, Y.Wan^#
Advanced Materials, 2024.[Full text]
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]
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]
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]
Session-based Recommendation Via Contrastive Learning On Heterogeneous Graph
H.Li, X.Luo^#, Q.Yu, H.Wang
IEEE Bigdata, 2021.[Full text]

Teaching