Community Detection and Visualization in Complex Network by the Density-Canopy-Kmeans Algorithm and MDS Embedding. - Manzhi Li; Hongtao Wang; Haixia Long; Ju Xiang; Bo Wang; Junlin Xu; Jialiang Yang (IEEE Access, 2019)

Identification of Human LncRNA-Disease Association by Fast Kernel Learning-Based Kronecker Regularized Least Squares. - Wen Li 009; Shulin Wang; Junlin Xu; Jialiang Yang (ICIC (2), 2020)

Degree-Based Similarity Indexes for Identifying Potential miRNA-Disease Associations. - Yajie Meng; Min Jin; Xianfang Tang; Junlin Xu (IEEE Access, 2020)

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; Yajie Meng; Ju Xiang; Dawei Yuan; Geng Tian; Jialiang Yang (IEEE Access, 2020)

IMDAILM: Inferring miRNA-Disease Association by Integrating lncRNA and miRNA Data. - Yuhua Yao; Binbin Ji; Sihong Shi; Junlin Xu; Xiaofang Xiao; Enchao Yu; Bo Liao; Jialiang Yang (IEEE Access, 2020)

CMF-Impute: an accurate imputation tool for single-cell RNA-seq data. - Junlin Xu; Lijun Cai; Bo Liao; Wen Zhu; Jialiang Yang (Bioinform., 2020)

A Streamlined scRNA-Seq Data Analysis Framework Based on Improved Sparse Subspace Clustering. - Jujuan Zhuang; Lingyu Cui; Tianqi Qu; Changjing Ren; Junlin Xu; Tianbao Li; Geng Tian; Jialiang Yang (IEEE Access, 2021)

Drug repositioning based on similarity constrained probabilistic matrix factorization: COVID-19 as a case study. - Yajie Meng; Min Jin; Xianfang Tang; Junlin Xu (Appl. Soft Comput., 2021)

Drug repositioning based on the heterogeneous information fusion graph convolutional network. - Lijun Cai; Changcheng Lu; Junlin Xu; Yajie Meng; Peng Wang 035; Xiangzheng Fu; Xiangxiang Zeng; Yansen Su (Briefings Bioinform., 2021)

Uncovering Dominant Features in Short-term Power Load Forecasting Based on Multi-source Feature. - Pan Zeng; Md. Fazla Elahe; Junlin Xu; Min Jin (CoRR, 2021)

A weighted bilinear neural collaborative filtering approach for drug repositioning. - Yajie Meng; Changcheng Lu; Min Jin; Junlin Xu; Xiangxiang Zeng; Jialiang Yang (Briefings Bioinform., 2022)

Evaluating the performance of dropout imputation and clustering methods for single-cell RNA sequencing data. - Junlin Xu; Lingyu Cui; Jujuan Zhuang; Yajie Meng; Pingping Bing; Binsheng He; Geng Tian; Choi Kwok Pui; Taoyang Wu; Bing Wang; Jialiang Yang (Comput. Biol. Medicine, 2022)

Inferring Latent MicroRNA-Disease Associations on a Gene-Mediated Tripartite Heterogeneous Multiplexing Network. - Wen Li 009; Shu-Lin Wang; Junlin Xu; Ju Xiang (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Medical Image Segmentation Using Dual Branch Networks with Embedded Attention Mechanism. - Shuaishuai Yang; Min Jin; Lian Wang; Changcheng Lu; Yajie Meng; Die Yan; Zhijian Huang; Junlin Xu (BIBM, 2023)

CapsNet-LDA: predicting lncRNA-disease associations using attention mechanism and capsule network based on multi-view data. - Ze-Qun Zhang; Junlin Xu; Yanan Wu; Nian-Nian Liu; Ying-Long Wang; Ying Liang (Briefings Bioinform., 2023)

Dimensionality reduction and visualization of single-cell RNA-seq data with an improved deep variational autoencoder. - Jing Jiang; Junlin Xu; Yuansheng Liu; Bosheng Song; Xiulan Guo; Xiangxiang Zeng; Quan Zou 001 (Briefings Bioinform., 2023)

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

Drug repositioning based on weighted local information augmented graph neural network. - Yajie Meng; Yi Wang; Junlin Xu; Changcheng Lu; Xianfang Tang; Tao Peng; Ben-gong Zhang; Geng Tian; Jialiang Yang (Briefings Bioinform., 2023)

Drug repositioning based on tripartite cross-network embedding and graph convolutional network. - Pan Zeng; Bofei Zhang; Aohang Liu; Yajie Meng; Xianfang Tang; Jialiang Yang; Junlin Xu (Expert Syst. Appl., 2024)

scDMAE: A Generative Denoising Model Adopted Mask Strategy for scRNA-Seq Data Recovery. - Wei Liu 150; Youze Pan; Zhijie Teng; Junlin Xu (IEEE J. Biomed. Health Informatics, 2024)

PLM-IL4: Enhancing IL-4-inducing peptide prediction with protein language model. - Ruiqi Liu; Shankai Yan; Zilong Zhang; Junlin Xu; Yajie Meng; Qingchen Zhang 001; Leyi Wei; Quan Zou 001; Feifei Cui (Comput. Biol. Chem., 2025)

Automatic collaborative learning for drug repositioning. - Yi Wang; Yajie Meng; Chang Zhou; Xianfang Tang; Pan Zeng; Chu Pan; Qiang Zhu; Bengong Zhang; Junlin Xu (Eng. Appl. Artif. Intell., 2025)

Adaptive symmetry-based adversarial perturbation augmentation for molecular graph representations with dual-fusion attention information. - Shuting Jin; Xiangrong Liu; Junlin Xu; Sisi Yuan; Hongxing Xiang; Lian Shen; Chunyan Li 002; Zhangming Niu; Yinhui Jiang (Inf. Fusion, 2025)

Adaptive debiasing learning for drug repositioning. - Yajie Meng; Yi Wang; Xinrong Hu; Changcheng Lu; Xianfang Tang; Feifei Cui; Pan Zeng; Yuhua Yao; Jialiang Yang; Junlin Xu (J. Biomed. Informatics, 2025)

AVP-HNCL: Innovative Contrastive Learning with a Queue-Based Negative Sampling Strategy for Dual-Phase Antiviral Peptide Prediction. - Yuanhao Li; Aoyun Geng; Zheyu Zhou; Feifei Cui; Junlin Xu; Yajie Meng; Leyi Wei; Quan Zou 001; Qingchen Zhang 001; Zilong Zhang (J. Chem. Inf. Model., 2025)

m5U-HybridNet: Integrating an RNA Foundation Model with CNN Features for Accurate Prediction of 5-Methyluridine Modification Sites. - Xinyu Li; Zhenjie Luo; Jingwei Lv; Chao Yang; Shankai Yan; Junlin Xu; Yajie Meng; Leyi Wei; Zilong Zhang; Quan Zou 001; Feifei Cui (J. Chem. Inf. Model., 2025)

Large Model Era: Deep Learning in Osteoporosis Drug Discovery. - Junlin Xu; Xiaobo Wen; Li Sun; Kunyue Xing; Linyuan Xue; Sha Zhou; Jiayi Hu; Zhijuan Ai; Qian Kong; Zishu Wen; Li Guo; Minglu Hao; et al. (J. Chem. Inf. Model., 2025)

Enhancing Drug Repositioning Through Local Interactive Learning With Bilinear Attention Networks. - Xianfang Tang; Chang Zhou; Changcheng Lu; Yajie Meng; Junlin Xu; Xinrong Hu; Geng Tian; Jialiang Yang (IEEE J. Biomed. Health Informatics, 2025)

SWMA-UNet: Multi-Path Attention Network for Improved Medical Image Segmentation. - Xianfang Tang; Jincan Li; Qianrui Liu; Chang Zhou; Pan Zeng; Yajie Meng; Junlin Xu; Geng Tian; Jialiang Yang (IEEE J. Biomed. Health Informatics, 2025)

CDPMF-DDA: contrastive deep probabilistic matrix factorization for drug-disease association prediction. - Xianfang Tang; Yawen Hou; Yajie Meng; Zhaojing Wang; Changcheng Lu; Juan Lv; Xinrong Hu; Junlin Xu; Jialiang Yang (BMC Bioinform., 2025)

Multi-spatial-attention U-Net: a novel framework for automated gallbladder segmentation on CT images. - Henan Lou; Xiaobo Wen; Fanxia Lin; Zhan Peng; Qiuxiao Wang; Ruimei Ren; Junlin Xu; Jinfei Fan; Hao Song; Xiaomeng Ji; Huiyu Wang; Xiangyin Sun; et al. (BMC Medical Imaging, 2025)