Junlin Xu

According to our database, Junlin Xu authored at least 52 papers between 2019 and 2026.

Collaborative distances:

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

2026

FusionMVSA: Multi-View Fusion Strategy With Self-Attention for Enhancing Drug Recommendation.

Yajie Meng, Zhuang Zhang, Xudong Shang, Xianfang Tang, Jincan Li, Zilong Zhang, Feifei Cui, Shuting Jin, Junlin Xu, Peng Wang

IEEE J. Biomed. Health Informatics, February, 2026

DeepNhKcr: Explainable Deep Learning Framework for the Prediction of Crotonylation Sites of Non-Histone Lysine in Plants Based on Pre-Trained Protein Language Model.

Jinwei Wang, Zhenjie Luo, Aoyun Geng, Junlin Xu, Yajie Meng, Shankai Yan, Leyi Wei, Zilong Zhang, Qingchen Zhang, Quan Zou, Feifei Cui

IEEE Trans. Comput. Biol. Bioinform., 2026

MFDL-DDI: An effective deep learning-based framework for predicting drug-drug interactions through multimodal information fusion.

Yan Xia, Yazi Li, Shuting Jin, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Xin Gao, Feifei Cui

Pattern Recognit., 2026

CNNCaps-DBP: Leveraging protein language models with attention-augmented convolution for DNA-binding protein prediction.

Ziyuan Yan, Aoyun Geng, Yazi Li, Jiajing Wang, Junlin Xu, Yajie Meng, Leyi Wei, Quan Zou, Zilong Zhang, Feifei Cui

Neural Networks, 2026

Protein Solubility Prediction Using Fused Graph Convolutional Networks and Improved Attention Networks with AlphaFold3-Derived Features.

Guanjie Song, Zhenjie Luo, Aoyun Geng, Junlin Xu, Yajie Meng, Feifei Cui, Leyi Wei, Quan Zou, Zilong Zhang

J. Chem. Inf. Model., 2026

A deep adversarial network model for multi-task analysis of single-cell omics data.

Junlin Xu, Cheng Guo, Yajie Meng, Shuting Jin, Changcheng Lu, Zilong Zhang, Feifei Cui, Xiangzheng Fu, Quan Zou, Tian Tian, Xiangxiang Zeng

Briefings Bioinform., 2026

FuseMine: Robust Multi-Modal Compound-Protein Interaction Prediction via Differential Attention Feature Mining.

Junlin Xu, Zhuang Zhang, Zhenghang Gong, Jincan Li, Pan Zeng, Zilong Zhang, Xiong Li, Shuting Jin, Haowen Chen, Yajie Meng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

EccoMamba: Enhanced Cross-hierarchical Continuity Orthogonal Mamba for Medical Image Segmentation.

Junlin Xu, Jincan Li, Feifei Cui, Zhuang Zhang, Jialiang Yang, Shuting Jin, Qiangguo Jin, Yajie Meng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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, Yinying Dong

BMC Medical Imaging, December, 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., December, 2025

ERSR: An Ellipse-constrained pseudo-label refinement and symmetric regularization framework for semi-supervised fetal head segmentation in ultrasound images.

Linkuan Zhou, Zhexin Chen, Yufei Shen, Junlin Xu, Ping Xuan, Yixin Zhu, Yuqi Fang, Cong Cong, Leyi Wei, Ran Su, Jia Zhou, Qiangguo Jin

CoRR, August, 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, May, 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, March, 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, Dongming Xing

J. Chem. Inf. Model., 2025

DeepMaT: Prediction of Target Peptide Classification and Cleavage Site by Combining Mamba2 and Multiple Attention Mechanisms.

Qianmao Wen, Aoyun Geng, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Feifei Cui

J. Chem. Inf. Model., 2025

AcidProNet: Acidophilic Protein Classification via DCGAN-GP-Based Data Augmentation and Parameter-Shared Mixture-of-Experts Transformer.

Jiaxing Song, Aoyun Geng, Qianmao Wen, Junlin Xu, Yajie Meng, Feifei Cui, Quan Zou, Leyi Wei, Zilong Zhang

J. Chem. Inf. Model., 2025

ML-PLA: Enhancing Protein-Ligand Binding Affinity Prediction with Microenvironment and Long-Range Interaction-Aware Graph Neural Networks.

Yajie Meng, Zhuang Zhang, Jincan Li, Xianfang Tang, Changcheng Lu, Zilong Zhang, Feifei Cui, Pan Zeng, Bo Li, Junlin Xu

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, Feifei Cui

J. Chem. Inf. Model., 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, Qingchen Zhang, Zilong Zhang

J. Chem. Inf. Model., 2025

Cross-Modal Interaction-Aware Progressive Fusion Network for Drug-Target Interaction Prediction.

Zhichong Cao, Jing Xie, Junlin Xu, Bo Li

J. Chem. Inf. Model., 2025

Predicting drug-target interactions based on multivariate information fusion and graph contrast learning.

Siying Yang, Ping-an He, Pan Zeng, Yajie Meng, Zilong Zhang, Feifei Cui, Yuhua Yao, Jialiang Yang, Junlin Xu

J. Biomed. Informatics, 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

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, Zhangming Niu, Yinhui Jiang

Inf. Fusion, 2025

Enhanced drug recommendation model with graph contrastive based on singular value decomposition.

Pan Zeng, Ling You, Bofei Zhang, Yajie Meng, Xianfang Tang, Zilong Zhang, Feifei Cui, Jing Jiang, Junlin Xu

Eng. Appl. Artif. Intell., 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

PLM-IL4: Enhancing IL-4-inducing peptide prediction with protein language model.

Ruiqi Liu, Shankai Yan, Zilong Zhang, Junlin Xu, Yajie Meng, Qingchen Zhang, Leyi Wei, Quan Zou, Feifei Cui

Comput. Biol. Chem., 2025

CAMIL: channel attention-based multiple instance learning for whole slide image classification.

Jinyang Mao, Junlin Xu, Xianfang Tang, Yongjin Liu, Heaven Zhao, Geng Tian, Jialiang Yang

Bioinform., 2025

ScLineageAtlas: a comprehensive single-cell genomics database for characterizing cellular clones in cancer.

Jinyang Liu, Rui Hou, Junlin Xu, Tingting Hui, Haotian Tian, Yankun Liu, Meijun Zhang, Geng Tian, Jialiang Yang

Database J. Biol. Databases Curation, 2025

ST-GCP: a graph convolutional network model with contrastive consistency and permutation for spatial transcriptomics.

Yajie Meng, Yongkang Wang, Cheng Guo, Xianfang Tang, Zilong Zhang, Feifei Cui, Xiangzheng Fu, Quan Zou, Xu Lu, Junlin Xu

Briefings Bioinform., 2025

Bidirectional Relational Fusion with Meta-Learning for Inductive Knowledge Graph Completion.

Yaohao Wu, Junlin Xu, Qiangguo Jin, Shuting Jin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

A Conformation Enhanced Graph Attention Framework for Predicting Synergistic Drug Combinations.

Huaze Long, Shuting Jin, Junlin Xu, Zhiwei Xu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

TransFVAE: A Transformer-Based Flow Variational Autoencoder Model for Molecular Graph Generation.

Junlin Ding, Shuting Jin, Yajie Meng, Qiangguo Jin, Junlin Xu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

scDMAE: A Generative Denoising Model Adopted Mask Strategy for scRNA-Seq Data Recovery.

Wei Liu, Youze Pan, Zhijie Teng, Junlin Xu

IEEE J. Biomed. Health Informatics, June, 2024

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., January, 2024

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

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