Zhecheng Zhou

According to our database, Zhecheng Zhou authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

BloodPatrol: Revolutionizing Blood Cancer Diagnosis - Advanced Real-Time Detection Leveraging Deep Learning & Cloud Technologies.

Jinhang Wei, Longyue Wang, Zhecheng Zhou, Linlin Zhuo, Xiangxiang Zeng, Xiangzheng Fu, Quan Zou, Keqin Li, Zhongjun Zhou

IEEE J. Biomed. Health Informatics, June, 2026

Intercellular Communication Guides the Prediction of Intracellular Gene Regulatory Relationships.

Zhecheng Zhou, Zhen Li, Yunfei Xie, Linlin Zhuo, Rui Wang, Xiaojun Yao, Haiyang Hu, Xiangzheng Fu

J. Chem. Inf. Model., 2026

2025

Enhancing Herbal Medicine-Drug Interaction Prediction Using Large Language Models.

Sisi Yuan, Zhecheng Zhou, Xinyuan Jin, Linlin Zhuo, Keqin Li

IEEE J. Biomed. Health Informatics, October, 2025

SGPS-IMR: Efficiently inferring microbial resistance using self-supervised graph perturbation strategy.

Wentao Wang, Linlin Zhuo, Zhecheng Zhou, Xiangzheng Fu, Quan Zou

Expert Syst. Appl., 2025

2024

Joint deep autoencoder and subgraph augmentation for inferring microbial responses to drugs.

Zhecheng Zhou, Linlin Zhuo, Xiangzheng Fu, Quan Zou

Briefings Bioinform., January, 2024

An Effective Plant Small Secretory Peptide Recognition Model Based on Feature Correction Strategy.

Rui Wang, Zhecheng Zhou, Xiaonan Wu, Xin Jiang, Linlin Zhuo, Mingzhe Liu, Hao Li, Xiangzheng Fu, Xiaojun Yao

J. Chem. Inf. Model., 2024

Revisiting drug-protein interaction prediction: a novel global-local perspective.

Zhecheng Zhou, Qingquan Liao, Jinhang Wei, Linlin Zhuo, Xiaonan Wu, Xiangzheng Fu, Quan Zou

Bioinform., 2024

2023

MHAM-NPI: Predicting ncRNA-protein interactions based on multi-head attention mechanism.

Zhecheng Zhou, Zhenya Du, Jinhang Wei, Linlin Zhuo, Shiyao Pan, Xiangzheng Fu, Xinze Lian

Comput. Biol. Medicine, September, 2023

GCFMCL: predicting miRNA-drug sensitivity using graph collaborative filtering and multi-view contrastive learning.

Jinhang Wei, Linlin Zhuo, Zhecheng Zhou, Xinze Lian, Xiangzheng Fu, Xiaojun Yao

Briefings Bioinform., July, 2023