Qinze Yu

According to our database, Qinze Yu authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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, Xiangyu Shi, Jiawei Sun, Chuan Wu, Yu Li

CoRR, March, 2025

GS-DTI: a graph-structure-aware framework leveraging large language models for drug-target interaction prediction.

Qinze Yu, Chang Zhou, Jiyue Jiang, Xiangyu Shi, Yu Li

Bioinform., 2025

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, Tianqing Zhang, Katherine Ilia, Jack X. Chen, Shuangjia Zheng, Irwin King, Yu Li, James J. Collins

Nat. Comput. Sci., November, 2024

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

Nat. Comput. Sci., 2024

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

CoRR, 2023

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, Le Song, Yu Li

CoRR, 2023

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

CoRR, 2021

Session-based Recommendation via Contrastive Learning on Heterogeneous Graph.

Hangyue Li, Xucheng Luo, Qinze Yu, Haoran Wang

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021