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)

Locally Manifold Non-negative Matrix Factorization Based on Centroid for scRNA-seq Data Analysis. - Chuan-Yuan Wang; Ying-Lian Gao; Cui-Na Jiao; Jin-Xing Liu 001; Chunhou Zheng 001; Xiang-Zhen Kong (BIBM, 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 001 (BMC Bioinform., 2020)

Hyper-Graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor Classification. - Cui-Na Jiao; Ying-Lian Gao; Na Yu; Jin-Xing Liu 001; Lianyong Qi (IEEE J. Biomed. Health Informatics, 2020)

Sparse Hyper-graph Non-negative Matrix Factorization by Maximizing Correntropy. - Cui-Na Jiao; Jin-Xing Liu 001; Ying-Lian Gao; Xiang-Zhen Kong; Chun-Hou Zheng 001; Xianzi Yu (BIBM, 2021)

Bipartite graph-based collaborative matrix factorization method for predicting miRNA-disease associations. - Feng Zhou 021; Meng-Meng Yin; Cui-Na Jiao; Zhen Cui; Jing-Xiu Zhao; Jin-Xing Liu 001 (BMC Bioinform., 2021)

Probability Connectivity-Based Multimodality Regression Analysis for Associating Disease-Specific Multimodal Brain Imaging Phenotypes with Genetic Risk Factors. - Cui-Na Jiao; Chun-Hou Zheng 001; Jin-Xing Liu 001; Feng Li 033 (BIBM, 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 001 (BIBM, 2022)

THSLRR: A Low-Rank Subspace Clustering Method Based on Tired Random Walk Similarity and Hypergraph Regularization Constraints. - Tian-Jing Qiao; Na-Na Zhang; Jin-Xing Liu 001; Junliang Shang; Cui-Na Jiao; Juan Wang 003 (SDSC, 2022)

Kernel risk-sensitive mean p-power loss based hyper-graph regularized robust extreme learning machine and its semi-supervised extension for sample classification. - Zhen-Xin Niu; Cui-Na Jiao; Liang-Rui Ren; Rong Zhu; Juan Wang 003; Jin-Xing Liu 001 (Appl. Intell., 2022)

Visualization and Analysis of Single Cell RNA-Seq Data by Maximizing Correntropy Based Non-Negative Low Rank Representation. - Cui-Na Jiao; Jin-Xing Liu 001; Juan Wang 003; Junliang Shang; Chun-Hou Zheng 001 (IEEE J. Biomed. Health Informatics, 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)

Spatial Domain Identification Based on Graph Attention Denoising Auto-encoder. - Yue Gao; Dai-Jun Zhang; Cui-Na Jiao; Ying-Lian Gao; Jin-Xing Liu 001 (ICIC (3), 2023)

Predicting miRNA-Disease Associations Through Deep Autoencoder With Multiple Kernel Learning. - Feng Zhou 021; Meng-Meng Yin; Cui-Na Jiao; Jing-Xiu Zhao; Chun-Hou Zheng 001; Jin-Xing Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 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)

Multi-modal imaging genetics data fusion by deep auto-encoder and self-representation network for Alzheimer's disease diagnosis and biomarkers extraction. - Cui-Na Jiao; Ying-Lian Gao; Dao-Hui Ge; Junliang Shang; Jin-Xing Liu 001 (Eng. Appl. Artif. Intell., 2024)

Multi-Kernel Graph Attention Deep Autoencoder for MiRNA-Disease Association Prediction. - Cui-Na Jiao; Feng Zhou 021; Bao-Min Liu; Chun-Hou Zheng 001; Jin-Xing Liu 001; Ying-Lian Gao (IEEE J. Biomed. Health Informatics, 2024)

Diagnosis-Guided Deep Subspace Clustering Association Study for Pathogenetic Markers Identification of Alzheimer's Disease Based on Comparative Atlases. - Cui-Na Jiao; Junliang Shang; Feng Li 033; Xinchun Cui; Yan-Li Wang; Ying-Lian Gao; Jin-Xing Liu 001 (IEEE J. Biomed. Health Informatics, 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)

FSCME: A Feature Selection Method Combining Copula Correlation and Maximal Information Coefficient by Entropy Weights. - Qi Zhong; Junliang Shang; Qianqian Ren; Feng Li 033; Cui-Na Jiao; Jin-Xing Liu 001 (IEEE J. Biomed. Health Informatics, 2024)

STDDAE: Identifying spatial domains in spatial transcriptomics by dual denoising autoencoder with attention mechanism. - Yue Gao; Ying-Lian Gao; Cui-Na Jiao; Xu-Ran Dou; Feng Li 033; Jin-Xin Liu 001 (Eng. Appl. Artif. Intell., 2025)

SAMGCN: A spatially-augmented multi-view graph convolutional network for identifying spatial domains. - Hao Liu 075; Yue Gao; Ying-Lian Gao; Cui-Na Jiao; Junliang Shang; Jin-Xing Liu (Eng. Appl. Artif. Intell., 2025)

SpaMGAN: Multi-view graph augmentation network for spatial domain identification in spatial transcriptomics. - Hao Liu 075; Yue Gao; Cui-Na Jiao; Chun-Hou Zheng 001; Ying-Lian Gao; Jin-Xing Liu 001; Yan-Li Wang (Knowl. Based Syst., 2025)