Yajie Meng

According to our database, Yajie Meng authored at least 38 papers between 2020 and 2026.

Collaborative distances:

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

2026

PDGCL-DTI: Parallel Dual-Channel Graph Contrastive Learning for Drug-Target Binding Prediction in Heterogeneous Networks.

Qihui Zheng, Xianfang Tang, Yajie Meng, Junlin Xu, Xueying Zeng, Geng Tian, Jialiang Yang

IEEE J. Biomed. Health Informatics, June, 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

CollDTI: Dual-encoder collaborative learning for drug-target interaction prediction.

Wanchen Li, Junlin Xu, Yajie Meng, Xunkun Cheng, Li Ye, Yinhui Jiang, Shuting Jin

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

Learning drug synergy through environment-conditioned feature modulation.

Shuting Jin, Anqi Huang, Yajie Meng, Zhonghang Zhu, Yinghui Jiang, Junlin Xu, Xiangxiang Zeng

Bioinform., 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

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

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

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

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

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

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

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

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

Joint extraction of biomedical overlapping triples through feature partition encoding.

Qiang Zhu, Cheng Hong, Yajie Meng, Huali Yang, Weizhong Zhao

Expert Syst. Appl., 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

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

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

Adsorption Behaviors of Typical Proteins on BP, GR, and C2N Surfaces.

Ruirui Liu, Hong Lin Zhai, Yajie Meng, Min Zhu, Tao Wen, Nengzhi Jin

J. Chem. Inf. Model., 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 Novel Hybrid Feature Selection and Ensemble Learning Framework for Unbalanced Cancer Data Diagnosis With Transcriptome and Functional Proteomic.

Xianfang Tang, Lijun Cai, Yajie Meng, Changlong Gu, Jialiang Yang, Jiasheng Yang

IEEE Access, 2021

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