Hyper-graph Robust Non-negative Matrix Factorization Method for Cancer Sample Clustering and Feature Selection. - Cui-Na Jiao; Tian-Ru Wu; Jin-Xing Liu 001; Xiang-Zhen Kong (IDMB, 2019)

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 001 (BMC Bioinform., 2020)

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 001 (BIBM, 2022)

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 001; Ying-Lian Gao (ICIC (3), 2023)

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 001; Jin-Xing Liu 001 (ISBRA (1), 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 001; Jin-Xing Liu 001 (IEEE J. Biomed. Health Informatics, 2024)