Xiaoxin Du

According to our database, Xiaoxin Du authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

Predicting microbe-disease association based on multi-kernel autoencoder and singular value decomposition.

Xiaoxin Du, Lisen Yang, Bo Wang, Mei Jin, Zhenfei Wang, Jianfei Zhang

Int. J. Mach. Learn. Cybern., April, 2026

GFRATCMDA: Predicting human microbe-disease associations based on factorized random attention network and feature contrastive coding.

Xiaoxin Du, Hang Sun, Bo Wang, Wenlong Zhao, Tang Sun, Lisen Yang

Biomed. Signal Process. Control., 2026

Microbe-Drug association prediction based on attention networks and improved Inductive matrix Completion.

Xiaoxin Du, Jingwei Li, Bo Wang, Guangda Zhang, Tongxuan Wang, Fangjian Ma

Biomed. Signal Process. Control., 2026

KMGTMDA: KAN-driven multiscale graph neural network and context-enhanced prediction for human microbe-disease associations.

Xiaoxin Du, Hang Sun, Bo Wang, Yiping Wang, Wenlong Zhao, Tang Sun, Lisen Yang

Biosyst., 2026

2025

Predicting potential microbe-disease associations based on heterogeneous graph attention network and deep sparse autoencoder.

Bo Wang, Wenlong Zhao, Xiaoxin Du, Jianfei Zhang, Chunyu Zhang, Liping Wang, Yang He

Eng. Appl. Artif. Intell., 2025

Predicting metabolite-disease associations based on dynamic adaptive feature learning architecture.

Bo Wang, Shiyu Liu, Xiaoxin Du, Jianfei Zang, Chunyu Zhang, Xue Yang, Yang He

Comput. Methods Programs Biomed., 2025

Adaptive dynamic K-nearest neighbors and context-aware similarity optimization for microbe-disease association prediction.

Bo Wang, Peilong Wu, Xiaoxin Du, Jianfei Zhang, Chunyu Zhang

Comput. Electr. Eng., 2025

Enhancing microbe-disease association prediction via multi-view graph convolution and latent feature learning.

Bo Wang, Peilong Wu, Xiaoxin Du, Chunyu Zhang, Shanshan Fu, Tang Sun, Xue Yang

Comput. Biol. Chem., 2025

VAE-GANMDA: A microbe-drug association prediction model integrating variational autoencoders and generative adversarial networks.

Bo Wang, Yang He, Xiaoxin Du, Lei Zhu, Junqi Wang, Tongxuan Wang

Artif. Intell. Medicine, 2025

2024

A plug-and-play noise-label correction framework for unsupervised domain adaptation person re-identification.

Qing Tian, Xiaoxin Du

Vis. Comput., June, 2024

Multi-class center dynamic contrastive learning for unsupervised domain adaptation person re-identification.

Qing Tian, Xiaoxin Du

Comput. Electr. Eng., 2024

2023

A Semantic-Preserving Scheme to Trajectory Synthesis Using Differential Privacy.

Xiaoxin Du, Hui Zhu, Yandong Zheng, Rongxing Lu, Fengwei Wang, Hui Li

IEEE Internet Things J., August, 2023