Session-based Recommendation via Contrastive Learning on Heterogeneous Graph. - Hangyue Li; Xucheng Luo; Qinze Yu; Haoran Wang (IEEE BigData, 2021)

HMD-AMP: Protein Language-Powered Hierarchical Multi-label Deep Forest for Annotating Antimicrobial Peptides. - Qinze Yu; Zhihang Dong; Xingyu Fan; Licheng Zong; Yu Li 006 (CoRR, 2021)

Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning. - Zhihang Hu; Qinze Yu; Yucheng Guo; Taifeng Wang; Irwin King; Xin Gao 001; Le Song; Yu Li 006 (CoRR, 2023)

Unbiased organism-agnostic and highly sensitive signal peptide predictor with deep protein language model. - Junbo Shen; Qinze Yu; Shenyang Chen; Qingxiong Tan; Jingcheng Li; Yu Li 006 (CoRR, 2023)

Unbiased organism-agnostic and highly sensitive signal peptide predictor with deep protein language model. - Junbo Shen; Qinze Yu; Shenyang Chen; Qingxiong Tan; Jingchen Li; Yu Li 006 (Nat. Comput. Sci., 2024)

Deep generative design of RNA aptamers using structural predictions. - Felix Wong; Dongchen He; Aarti Krishnan; Liang Hong; Alexander Z. Wang; Jiuming Wang; Zhihang Hu; Satotaka Omori; Alicia Li; Jiahua Rao; Qinze Yu; Wengong Jin; et al. (Nat. Comput. Sci., 2024)

Benchmarking Large Language Models on Multiple Tasks in Bioinformatics NLP with Prompting. - Jiyue Jiang; Pengan Chen; Jiuming Wang; Dongchen He; Ziqin Wei; Liang Hong; Licheng Zong; Sheng Wang; Qinze Yu; Zixian Ma; Yanyu Chen; Yimin Fan; et al. (CoRR, 2025)