2025.8-至今 烟台大学计算机与控制工程学院 

 
人工智能通识 

学术论文

[1] Jiao Cui-Na#, Gao Ying-Lian, Ge Dao-Hui, Shang Junliang, Liu Jin-Xing*. Multi-modal Imaging Genetics Data Fusion by Deep Auto-Encoder and Self-Representation Network for Alzheimer's Disease Diagnosis and Biomarkers Extraction[J]. Engineering Application of Artificial Intelligence, 2024, 130: 107782. (中科院1区, IF=8.0, Top期刊)
[2] Wang Shuang-Qing#, Jiao Cui-Na#, Gao Ying-Lian, Cui Xinchun, Wang Yan-Li, Liu Jin-Xing. Deep Association Analysis Framework with Multi-Modal Attention Fusion for Brain Imaging Genetics[J]. Medical Image Analysis, 2026, 107:103827. (中科院1区, IF=11.8, Top期刊)
[3] Jiao Cui-Na#, Shang Junliang, Li Feng, Cui Xinchun, Wang Yan-Li, Gao Ying-Lian, Liu Jin-Xing*. Diagnosis-Guided Deep Subspace Clustering Association Study for Pathogenetic Markers Identification of Alzheimer's Disease Based on Comparative Atlases[J]. IEEE Journal of Biomedical and Health Informatics, 2024, 28(5): 3029-3041. (中科院1区, IF=6.8, Top期刊)
[4] Jiao Cui-Na#, Zhou Feng, Liu Bao-Min, Zheng Chun-Hou, Liu Jin-Xing, Gao Ying-Lian*. Multi-Kernel Graph Attention Deep Autoencoder for MiRNA-Disease Association Prediction[J]. IEEE Journal of Biomedical and Health Informatics, 2023, 28(2): 1110-1121. (中科院1区, IF=6.7, Top期刊)
[5] Jiao Cui-Na#, Liu Jin-Xing*, Wang Juan, Shang Junliang, Zheng Chun-Hou. Visualization and Analysis of Single Cell RNA-Seq Data by Maximizing Correntropy Based Non-Negative Low Rank Representation[J]. IEEE Journal of Biomedical and Health Informatics, 2022, 26(4): 1872-1882. (中科院1区, IF=7.7, Top期刊)
[6] Jiao Cui-Na#, Gao Ying-Lian, Yu Na, Liu Jin-Xing*, Qi Lian-Yong. Hyper-graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor Classification[J]. IEEE Journal of Biomedical and Health Informatics, 2020, 24(10): 3002-3011. (中科院1区, IF=5.772, Top期刊)
[7] Jiao Cui-Na#, Zheng Chun-Hou, Liu Jin-Xing*, Li Feng. Probability Connectivity-Based Multimodality Regression Analysis for Associating Disease-Specific Multimodal Brain Imaging Phenotypes with Genetic Risk Factors[C]. 2022 in IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022: 1034-1039. (CCF B类推荐会议)
[8] Jiao Cui-Na#, Liu Jin-Xing*, Gao Ying-Lian, Kong Xiang-Zhen, Zheng Chun-Hou, Yu Xianzi. Sparse Hyper-graph Non-negative Matrix Factorization by Maximizing Correntropy[C]. 2021 in IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021: 418-423. (CCF B类推荐会议)
[9] Zhou Feng#, Yin Meng-Meng, Jiao Cui-Na, Zhao Jing-Xiu, Zheng Chun-Hou, Liu Jin-Xing*. Predicting miRNA–Disease Associations Through Deep Autoencoder with Multiple Kernel Learning[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(9): 5570-5579. (中科院1区, IF=10.2, Top期刊, CCF B)
[10] Wu Tian-Ru#, Jiao Cui-Na, Cui Xinchun, Wang Yan-Li, Zheng Chun-Hou, Liu Jin-Xing*. Deep Self-Reconstruction Fusion Similarity Hashing for the Diagnosis of Alzheimer's Disease on Multi-Modal Data[J]. IEEE Journal of Biomedical and Health Informatics, 2024, 28(6): 3513-3522. (中科院1区, IF=6.8, Top期刊)
[11] Cui Ming-Li#, Jiao Cui-Na, Gao Ying-Lian, Shang Junliang, Zheng Chun-Hou, Liu Jin-Xing*. TEMCL: Prediction of Drug-disease Associations Based on Transformer and Enhanced Multi-view Contrastive Learning[J]. IEEE Journal of Biomedical and Health Informatics. 2025, 29(10): 7730-7740. (中科院1区, IF=6.8, Top期刊)
[12] Liu Hao#, Gao Yue, Jiao Cui-Na, Zheng Chun-Hou, Gao Ying-Lian, Liu Jin-Xing*, Wang Yan-Li*. SpaMGAN: Multi-view Graph Augmentation Framework for Spatial Domain Identification in Spatial Transcriptomics[J]. Knowledge-Based Systems, 2025, 327:114100. (中科院1区, IF=7.6, Top期刊)

[1]. 2022.01~2025.12，国家自然科学基金，面向生物小分子-疾病关联预测的矩阵分解方法的研究，62172254，10人第8，60万元，参与。
[2]. 2025年4月获得山东省自然科学奖二等奖，（成果名称：面向癌症多组学数据的智能计算理论研究），授奖单位：山东省人民政府，第五参与人。
[3]. 2024年12月获得博士研究生国家奖学金，授奖单位：中华人民共和国教育部.
[4]. 2023年12月获得山东省研究生创新成果奖，（成果名称：面向生物组学数据的挖掘算法研究），授奖单位：山东省教育厅。