Cui-Na Jiao

27 papers Journal 18Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deep association analysis framework with multi-modal attention fusion for brain imaging genetics.
Medical Image Anal.
Shuang-Qing Wang, Cui-Na Jiao, Ying-Lian Gao, Xinchun Cui, Yan-Li Wang, Jin-Xing Liu
2026 J jnl
Predicting microbe-disease associations based on multi-modal using reliable negative sample and cross attention network.
Eng. Appl. Artif. Intell.
Shuang Wang, Cui-Na Jiao, Xinchun Cui, Ying-Lian Gao, Jin-Xin Liu
2025 J jnl
Multimodal adaptive fusion deep analysis model for Alzheimer's disease exploration and diagnosis.
Comput. Biol. Medicine
Yi-Ming Wang, Jingyu Zhang, Cui-Na Jiao, Bao-Min Liu, Tian-Ru Wu, Jin-Xing Liu, Shan Huang
2025 J jnl
SAMGCN: A spatially-augmented multi-view graph convolutional network for identifying spatial domains.
Eng. Appl. Artif. Intell.
Hao Liu, Yue Gao, Ying-Lian Gao, Cui-Na Jiao, Junliang Shang, Jin-Xing Liu
2025 J jnl
STDDAE: Identifying spatial domains in spatial transcriptomics by dual denoising autoencoder with attention mechanism.
Eng. Appl. Artif. Intell.
Yue Gao, Ying-Lian Gao, Cui-Na Jiao, Xu-Ran Dou, Feng Li, Jin-Xin Liu
2025 J jnl
SpaMGAN: Multi-view graph augmentation network for spatial domain identification in spatial transcriptomics.
Knowl. Based Syst.
Hao Liu, Yue Gao, Cui-Na Jiao, Chun-Hou Zheng, Ying-Lian Gao, Jin-Xing Liu, Yan-Li Wang
2025 J jnl
TEMCL: Prediction of Drug-Disease Associations Based on Transformer and Enhanced Multi-View Contrastive Learning.
IEEE J. Biomed. Health Informatics
Ming-Li Cui, Cui-Na Jiao, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng, Jin-Xing Liu
2024 — conf
Deep Hyper-Laplacian Regularized Self-representation Learning Based Structured Association Analysis for Brain Imaging Genetics.
ISBRA (1)
Shuang-Qing Wang, Cui-Na Jiao, Tian-Ru Wu, Xinchun Cui, Chun-Hou Zheng, Jin-Xing Liu
2024 J jnl
Deep Self-Reconstruction Fusion Similarity Hashing for the Diagnosis of Alzheimer's Disease on Multi-Modal Data.
IEEE J. Biomed. Health Informatics
Tian-Ru Wu, Cui-Na Jiao, Xinchun Cui, Yan-Li Wang, Chun-Hou Zheng, Jin-Xing Liu
2024 J jnl
Diagnosis-Guided Deep Subspace Clustering Association Study for Pathogenetic Markers Identification of Alzheimer's Disease Based on Comparative Atlases.
IEEE J. Biomed. Health Informatics
Cui-Na Jiao, Junliang Shang, Feng Li, Xinchun Cui, Yan-Li Wang, Ying-Lian Gao, Jin-Xing Liu
2024 J jnl
FSCME: A Feature Selection Method Combining Copula Correlation and Maximal Information Coefficient by Entropy Weights.
IEEE J. Biomed. Health Informatics
Qi Zhong, Junliang Shang, Qianqian Ren, Feng Li, Cui-Na Jiao, Jin-Xing Liu
2024 J jnl
Multi-Kernel Graph Attention Deep Autoencoder for MiRNA-Disease Association Prediction.
IEEE J. Biomed. Health Informatics
Cui-Na Jiao, Feng Zhou, Bao-Min Liu, Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao
2024 J jnl
Multi-modal imaging genetics data fusion by deep auto-encoder and self-representation network for Alzheimer's disease diagnosis and biomarkers extraction.
Eng. Appl. Artif. Intell.
Cui-Na Jiao, Ying-Lian Gao, Dao-Hui Ge, Junliang Shang, Jin-Xing Liu
2023 — conf
LANCMDA: Predicting MiRNA-Disease Associations via LightGBM with Attributed Network Construction.
ICIC (3)
Xu-Ran Dou, Wen-Yu Xi, Tian-Ru Wu, Cui-Na Jiao, Jin-Xing Liu, Ying-Lian Gao
2023 J jnl
Predicting miRNA-Disease Associations Through Deep Autoencoder With Multiple Kernel Learning.
IEEE Trans. Neural Networks Learn. Syst.
Feng Zhou, Meng-Meng Yin, Cui-Na Jiao, Jing-Xiu Zhao, Chun-Hou Zheng, Jin-Xing Liu
2023 — conf
Spatial Domain Identification Based on Graph Attention Denoising Auto-encoder.
ICIC (3)
Yue Gao, Dai-Jun Zhang, Cui-Na Jiao, Ying-Lian Gao, Jin-Xing Liu
2022 — conf
Diagnosing Alzheimer's Disease with Bi-multitask Regularized Sparse Canonical Correlation Analysis and Logistic Regression.
BIBM
Tian-Ru Wu, Cui-Na Jiao, Xinchun Cui, Jin-Xing Liu
2022 J jnl
Kernel risk-sensitive mean p-power loss based hyper-graph regularized robust extreme learning machine and its semi-supervised extension for sample classification.
Appl. Intell.
Zhen-Xin Niu, Cui-Na Jiao, Liang-Rui Ren, Rong Zhu, Juan Wang, Jin-Xing Liu
2022 — conf
Probability Connectivity-Based Multimodality Regression Analysis for Associating Disease-Specific Multimodal Brain Imaging Phenotypes with Genetic Risk Factors.
BIBM
Cui-Na Jiao, Chun-Hou Zheng, Jin-Xing Liu, Feng Li
2022 — conf
THSLRR: A Low-Rank Subspace Clustering Method Based on Tired Random Walk Similarity and Hypergraph Regularization Constraints.
SDSC
Tian-Jing Qiao, Na-Na Zhang, Jin-Xing Liu, Junliang Shang, Cui-Na Jiao, Juan Wang
2022 J jnl
Visualization and Analysis of Single Cell RNA-Seq Data by Maximizing Correntropy Based Non-Negative Low Rank Representation.
IEEE J. Biomed. Health Informatics
Cui-Na Jiao, Jin-Xing Liu, Juan Wang, Junliang Shang, Chun-Hou Zheng
2021 J jnl
Bipartite graph-based collaborative matrix factorization method for predicting miRNA-disease associations.
BMC Bioinform.
Feng Zhou, Meng-Meng Yin, Cui-Na Jiao, Zhen Cui, Jing-Xiu Zhao, Jin-Xing Liu
2021 — conf
Sparse Hyper-graph Non-negative Matrix Factorization by Maximizing Correntropy.
BIBM
Cui-Na Jiao, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng, Xianzi Yu
2020 J jnl
Hyper-Graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor Classification.
IEEE J. Biomed. Health Informatics
Cui-Na Jiao, Ying-Lian Gao, Na Yu, Jin-Xing Liu, Lianyong Qi
2020 — conf
Locally Manifold Non-negative Matrix Factorization Based on Centroid for scRNA-seq Data Analysis.
BIBM
Chuan-Yuan Wang, Ying-Lian Gao, Cui-Na Jiao, Jin-Xing Liu, Chunhou Zheng, Xiang-Zhen Kong
2020 J jnl
MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations.
BMC Bioinform.
Tian-Ru Wu, Meng-Meng Yin, Cui-Na Jiao, Ying-Lian Gao, Xiang-Zhen Kong, Jin-Xing Liu
2019 — conf
Hyper-graph Robust Non-negative Matrix Factorization Method for Cancer Sample Clustering and Feature Selection.
IDMB
Cui-Na Jiao, Tian-Ru Wu, Jin-Xing Liu, Xiang-Zhen Kong