Human Protein Complex Signatures for Drug Repositioning. - Fei Wang 095; Xiujuan Lei; Bo Liao 001; Fang-Xiang Wu (BCB, 2019)

LRMCMDA: Predicting miRNA-Disease Association by Integrating Low-Rank Matrix Completion With miRNA and Disease Similarity Information. - Junlin Xu; Wen Zhu; Lijun Cai; Bo Liao 001; Yajie Meng; Ju Xiang; Dawei Yuan; Geng Tian; Jialiang Yang (IEEE Access, 2020)

ALSBMF: Predicting lncRNA-Disease Associations by Alternating Least Squares Based on Matrix Factorization. - Wen Zhu; Kaimei Huang; Xiaofang Xiao; Bo Liao 001; Yuhua Yao; Fang-Xiang Wu (IEEE Access, 2020)

Predicting novel CircRNA-disease associations based on random walk and logistic regression model. - Yulian Ding; Bolin Chen; Xiujuan Lei; Bo Liao 001; Fang-Xiang Wu (Comput. Biol. Chem., 2020)

A Novel Approach for Potential Human LncRNA-Disease Association Prediction Based on Local Random Walk. - Jiechen Li; Haochen Zhao; Zhanwei Xuan; Jingwen Yu; Xiang Feng; Bo Liao 001; Lei Wang 069 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Human Protein Complex-Based Drug Signatures for Personalized Cancer Medicine. - Fei Wang 095; Yulian Ding; Xiujuan Lei; Bo Liao 001; Fang-Xiang Wu (IEEE J. Biomed. Health Informatics, 2021)

Predicting disease-associated genes: Computational methods, databases, and evaluations. - Ping Luo 003; Bolin Chen; Bo Liao 001; Fang-Xiang Wu (WIREs Data Mining Knowl. Discov., 2021)

A Deep Neural Network for Cervical Cell Classification Based on Cytology Images. - Ming Fang; Xiujuan Lei; Bo Liao 001; Fang-Xiang Wu (IEEE Access, 2022)

MLRDFM: a multi-view Laplacian regularized DeepFM model for predicting miRNA-disease associations. - Yulian Ding; Xiujuan Lei; Bo Liao 001; Fang-Xiang Wu (Briefings Bioinform., 2022)

Predicting drug-drug interactions by graph convolutional network with multi-kernel. - Fei Wang 095; Xiujuan Lei; Bo Liao 001; Fang-Xiang Wu (Briefings Bioinform., 2022)

ACP_MS: prediction of anticancer peptides based on feature extraction. - Caimao Zhou; Dejun Peng; Bo Liao 001; Ranran Jia; Fang-Xiang Wu (Briefings Bioinform., 2022)

Identifying Gene Signatures for Cancer Drug Repositioning Based on Sample Clustering. - Fei Wang 095; Yulian Ding; Xiujuan Lei; Bo Liao 001; Fang-Xiang Wu (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Predicting miRNA-Disease Associations Based On Multi-View Variational Graph Auto-Encoder With Matrix Factorization. - Yulian Ding; Xiujuan Lei; Bo Liao 001; Fang-Xiang Wu (IEEE J. Biomed. Health Informatics, 2022)

Minority Sub-Region Estimation-Based Oversampling for Imbalance Learning. - Yi Sun; Lijun Cai; Bo Liao 001; Wen Zhu (IEEE Trans. Knowl. Data Eng., 2022)

Imputing single-cell RNA-seq data by graph autoencoder with multi-kernel. - Kang Jiang; Bo Liao 001; Petros Papagerakis; Fang-Xiang Wu (BIBM, 2023)

Biomarker Identification via a Factorization Machine-Based Neural Network With Binary Pairwise Encoding. - Yulian Ding; Xiujuan Lei; Bo Liao 001; Fang-Xiang Wu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

A Robust Oversampling Approach for Class Imbalance Problem With Small Disjuncts. - Yi Sun; Lijun Cai; Bo Liao 001; Wen Zhu; Junlin Xu (IEEE Trans. Knowl. Data Eng., 2023)

SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosis. - Minghan Fu; Ming Fang; Rayyan Azam Khan; Bo Liao 001; Zhanli Hu; Fang-Xiang Wu (Artif. Intell. Medicine, 2024)

Deep integrated fusion of local and global features for cervical cell classification. - Ming Fang; Minghan Fu; Bo Liao 001; Xiujuan Lei; Fang-Xiang Wu (Comput. Biol. Medicine, 2024)

A systematic review on deep learning based methods for cervical cell image analysis. - Ming Fang; Bo Liao 001; Xiujuan Lei; Fang-Xiang Wu (Neurocomputing, 2024)

A Cervical Cell Classification Framework Based on Multiview Supervised Contrastive Learning. - Ming Fang; Jin Liu 012; Francis Bui; Bo Liao 001; Xiujuan Lei; Fang-Xiang Wu (IEEE Trans. Artif. Intell., 2025)