Tian-Ru Wu

According to our database, Tian-Ru Wu authored at least 7 papers between 2019 and 2025.

Collaborative distances:

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

2025

Multimodal adaptive fusion deep analysis model for Alzheimer's disease exploration and diagnosis.

Yi-Ming Wang, Jingyu Zhang, Cui-Na Jiao, Bao-Min Liu, Tian-Ru Wu, Jin-Xing Liu, Shan Huang

Comput. Biol. Medicine, 2025

2024

Deep Self-Reconstruction Fusion Similarity Hashing for the Diagnosis of Alzheimer's Disease on Multi-Modal Data.

Tian-Ru Wu, Cui-Na Jiao, Xinchun Cui, Yan-Li Wang, Chun-Hou Zheng, Jin-Xing Liu

IEEE J. Biomed. Health Informatics, June, 2024

Deep Hyper-Laplacian Regularized Self-representation Learning Based Structured Association Analysis for Brain Imaging Genetics.

Shuang-Qing Wang, Cui-Na Jiao, Tian-Ru Wu, Xinchun Cui, Chun-Hou Zheng, Jin-Xing Liu

Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

2023

LANCMDA: Predicting MiRNA-Disease Associations via LightGBM with Attributed Network Construction.

Xu-Ran Dou, Wen-Yu Xi, Tian-Ru Wu, Cui-Na Jiao, Jin-Xing Liu, Ying-Lian Gao

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

Diagnosing Alzheimer's Disease with Bi-multitask Regularized Sparse Canonical Correlation Analysis and Logistic Regression.

Tian-Ru Wu, Cui-Na Jiao, Xinchun Cui, Jin-Xing Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2020

MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations.

Tian-Ru Wu, Meng-Meng Yin, Cui-Na Jiao, Ying-Lian Gao, Xiang-Zhen Kong, Jin-Xing Liu

BMC Bioinform., 2020

2019

Hyper-graph Robust Non-negative Matrix Factorization Method for Cancer Sample Clustering and Feature Selection.

Cui-Na Jiao, Tian-Ru Wu, Jin-Xing Liu, Xiang-Zhen Kong

Proceedings of the Recent Advances in Data Science, 2019