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

S. Wang, C. Jiao, T. Wu, X. Cui, C. Zheng, и J. Liu. ISBRA (1), том 14954 из Lecture Notes in Computer Science, стр. 418-426. Springer, (2024)

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Li Jiao

Yang Jiao

Xiangyang Jiao

Yuanyong Jiao

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Diagnosing Alzheimer's Disease with Bi-multitask Regularized Sparse Canonical Correlation Analysis and Logistic Regression.T. Wu, C. Jiao, X. Cui, и J. Liu. BIBM, стр. 1268-1273. IEEE, (2022)Locally Manifold Non-negative Matrix Factorization Based on Centroid for scRNA-seq Data Analysis.C. Wang, Y. Gao, C. Jiao, J. Liu, C. Zheng, и X. Kong. BIBM, стр. 121-125. IEEE, (2020)Hyper-Graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor Classification.C. Jiao, Y. Gao, N. Yu, J. Liu, и L. Qi. IEEE J. Biomed. Health Informatics, 24 (10): 3002-3011 (2020)Visualization and Analysis of Single Cell RNA-Seq Data by Maximizing Correntropy Based Non-Negative Low Rank Representation.C. Jiao, J. Liu, J. Wang, J. Shang, и C. Zheng. IEEE J. Biomed. Health Informatics, 26 (4): 1872-1882 (2022)THSLRR: A Low-Rank Subspace Clustering Method Based on Tired Random Walk Similarity and Hypergraph Regularization Constraints.T. Qiao, N. Zhang, J. Liu, J. Shang, C. Jiao, и J. Wang. SDSC, том 1725 из Communications in Computer and Information Science, стр. 80-93. Springer, (2022)Deep Hyper-Laplacian Regularized Self-representation Learning Based Structured Association Analysis for Brain Imaging Genetics.S. Wang, C. Jiao, T. Wu, X. Cui, C. Zheng, и J. Liu. ISBRA (1), том 14954 из Lecture Notes in Computer Science, стр. 418-426. Springer, (2024)Hyper-graph Robust Non-negative Matrix Factorization Method for Cancer Sample Clustering and Feature Selection.C. Jiao, T. Wu, J. Liu, и X. Kong. IDMB, том 1099 из Communications in Computer and Information Science, стр. 112-125. Springer, (2019)Sparse Hyper-graph Non-negative Matrix Factorization by Maximizing Correntropy.C. Jiao, J. Liu, Y. Gao, X. Kong, C. Zheng, и X. Yu. BIBM, стр. 418-423. IEEE, (2021)Spatial Domain Identification Based on Graph Attention Denoising Auto-encoder.Y. Gao, D. Zhang, C. Jiao, Y. Gao, и J. Liu. ICIC (3), том 14088 из Lecture Notes in Computer Science, стр. 359-367. Springer, (2023)LANCMDA: Predicting MiRNA-Disease Associations via LightGBM with Attributed Network Construction.X. Dou, W. Xi, T. Wu, C. Jiao, J. Liu, и Y. Gao. ICIC (3), том 14088 из Lecture Notes in Computer Science, стр. 291-299. Springer, (2023)

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