Xianfang Tang

According to our database, Xianfang Tang authored at least 21 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

Class-aware prototype augmentation and decoupled feature distillation for class-incremental learning.

Chengdong Wang, Yangjun Ou, Xianfang Tang, Yuan Wu, Wuxuan Shi, Xueliang Liu, Rui Yan

Pattern Recognit., 2026

CPSN: Collision-Overlap and Physics-Based Self-Supervised Neural Cloth Simulation.

Tao Peng, Zhi Gong, Xianfang Tang, Zili Zhang, Li Li, Xinrong Hu

Comput. Animat. Virtual Worlds, 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

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

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

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

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

Relation-Aware Graph Transformer with Multi-View Consistency Alignment and Dynamic Fusion for Drug-Drug Interaction Prediction.

Jueming Li, Shengyuan Yang, Xianfang Tang, Qiang Zhu

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

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

Application of Principal Component Neural Network in Stock Price Prediction.

Xianfang Tang, Xianlong Cai, Fuqiang Wang

Proceedings of the 2024 International Conference on Cloud Computing and Big Data, 2024

2021

Multi-category multi-state information ensemble-based classification method for precise diagnosis of three cancers.

Xianfang Tang, Zhe Shi, Min Jin

Neural Comput. Appl., 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

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

Yajie Meng, Min Jin, Xianfang Tang, Junlin Xu

IEEE Access, 2020