Predicting Protein-Protein Interactions from Protein Sequence Information Using Dual-Tree Complex Wavelet Transform. - Jie Pan 007; Zhuhong You; Changqing Yu; Li-Ping Li 003; Xinke Zhan (ICIC (2), 2020)

Predicting Protein-Protein Interactions from Protein Sequence Using Locality Preserving Projections and Rotation Forest. - Xinke Zhan; Zhuhong You; Changqing Yu; Jie Pan 007; Ruiyang Li (ICIC (2), 2020)

Prediction of Drug-Target Interactions by Ensemble Learning Method From Protein Sequence and Drug Fingerprint. - Xinke Zhan; Zhu-Hong You; Jinfan Cai; Liping Li 003; Changqing Yu; Jie Pan 007; Jiangkun Kong (IEEE Access, 2020)

Computational Prediction of Protein-Protein Interactions in Plants Using Only Sequence Information. - Jie Pan 007; Changqing Yu; Liping Li 003; Zhuhong You; Zhong-Hao Ren; Yao Chen; Yongjian Guan (ICIC (1), 2021)

FWHT-RF: A Novel Computational Approach to Predict Plant Protein-Protein Interactions via an Ensemble Learning Method. - Jie Pan 007; Li-Ping Li 003; Changqing Yu; Zhu-Hong You; Zhong-Hao Ren; Jing-Yu Tang (Sci. Program., 2021)

A Sparse Feature Extraction Method with Elastic Net for Drug-Target Interaction Identification. - Zheng-Yang Zhao 002; Wenzhun Huang; Jie Pan 007; Yu-An Huang; Shanwen Zhang; Changqing Yu (Sci. Program., 2021)

A novel circRNA-miRNA association prediction model based on structural deep neural network embedding. - Lu-Xiang Guo; Zhu-Hong You; Lei Wang 121; Changqing Yu; Bo-Wei Zhao; Zhong-Hao Ren; Jie Pan 007 (Briefings Bioinform., 2022)

A biomedical knowledge graph-based method for drug-drug interactions prediction through combining local and global features with deep neural networks. - Zhong-Hao Ren; Zhu-Hong You; Changqing Yu; Li-Ping Li 003; Yongjian Guan; Lu-Xiang Guo; Jie Pan 007 (Briefings Bioinform., 2022)

PTBGRP: predicting phage-bacteria interactions with graph representation learning on microbial heterogeneous information network. - Jie Pan 007; Zhuhong You; Wencai You; Tian Zhao; Chenlu Feng; Xuexia Zhang; Fengzhi Ren; Sanxing Ma; Fan Wu; Shiwei Wang; Yanmei Sun (Briefings Bioinform., 2023)

A microbial knowledge graph-based deep learning model for predicting candidate microbes for target hosts. - Jie Pan 007; Zhen Zhang; Ying Li; Jiaoyang Yu; Zhuhong You; Chenyu Li; Shixu Wang; Minghui Zhu; Fengzhi Ren; Xuexia Zhang; Yanmei Sun; Shiwei Wang (Briefings Bioinform., 2024)

MHIPM: Accurate Prediction of Microbe-Host Interactions Using Multiview Features from a Heterogeneous Microbial Network. - Jie Pan 007; Guangming Zhang; Yong Yang; Wenli Yang; Ning Mao; Zhuhong You; Jie Feng; Shiwei Wang; Yanmei Sun (J. Chem. Inf. Model., 2024)

Machine learning for modelling unstructured grid data in computational physics: A review. - Sibo Cheng; Marc Bocquet; Weiping Ding 001; Tobias Sebastian Finn; Rui Fu; Jinlong Fu; Yike Guo; Eleda Johnson; Siyi Li; Che Liu; Eric Newton Moro; Jie Pan 007; et al. (Inf. Fusion, 2025)

Graph Structure Learning for Tumor Microenvironment with Cell Type Annotation from non-spatial scRNA-seq data. - Yu-An Huang; Yue-Chao Li; Hai-Ru You; Jie Pan 007; Xiyue Cao; Xinyuan Li; Zhi-An Huang; Zhu-Hong You (CoRR, 2025)

CM-PHI: combining multi-hop attention graph neural network with sequence semantic analysis to predict phage-host interaction. - Jie Pan 007; Rui Wang 102; Weiping Ding 001; Yuechao Li; Zhuhong You; Qinghua Huang; Dawei Wei; Shiwei Wang; Yanmei Sun (Expert Syst. Appl., 2026)