Junlin Xu

According to our database, Junlin Xu authored at least 18 papers between 2019 and 2023.

Collaborative distances:

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

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., November, 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., June, 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

Briefings Bioinform., May, 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., January, 2023

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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Inferring Latent MicroRNA-Disease Associations on a Gene-Mediated Tripartite Heterogeneous Multiplexing Network.

Wen Li, Shu-Lin Wang, Junlin Xu, Ju Xiang

IEEE ACM Trans. Comput. Biol. 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

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

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

CMF-Impute: an accurate imputation tool for single cell RNA-seq data.

Junlin Xu, Lijun Cai, Bo Liao, Wen Zhu, Jialiang Yang

Bioinform., 2021

Drug repositioning based on the heterogeneous information fusion graph convolutional network.

Lijun Cai, Changcheng Lu, Junlin Xu, Yajie Meng, Peng Wang, Xiangzheng Fu, Xiangxiang Zeng, Yansen Su

Briefings Bioinform., 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

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

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

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

Degree-Based Similarity Indexes for Identifying Potential miRNA-Disease Associations.

Yajie Meng, Min Jin, Xianfang Tang, Junlin Xu

IEEE Access, 2020

Identification of Human LncRNA-Disease Association by Fast Kernel Learning-Based Kronecker Regularized Least Squares.

Wen Li, Shulin Wang, Junlin Xu, Jialiang Yang

Proceedings of the Intelligent Computing Theories and Application, 2020

2019

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