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sureLDA: A multidisease automated phenotyping method for the electronic health record., , , , , , , , and . J. Am. Medical Informatics Assoc., 27 (8): 1235-1243 (2020)BELT: Blockwise Missing Embedding Learning Transfomer., , and . CoRR, (2021)sureLDA: A Novel Multi-Disease Automated Phenotyping Method for the Electronic Health Record., , , , , , , , and . AMIA, AMIA, (2019)Refining the Unseen: Self-supervised Two-stream Feature Extraction for Image Quality Assessment., , , , , , and . ICDM, page 1193-1198. IEEE, (2023)Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model., , , and . CoRR, (2022)Contrastive Learning on Multimodal Analysis of Electronic Health Records., , , , and . CoRR, (2024)Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data., , , , , , , , , and 13 other author(s). npj Digit. Medicine, (2021)Multiview Incomplete Knowledge Graph Integration with application to cross-institutional EHR data harmonization., , , , , , , , , and 12 other author(s). J. Biomed. Informatics, (2022)A new ranking scheme for modern data and its application to two-sample hypothesis testing., and . COLT, volume 195 of Proceedings of Machine Learning Research, page 3615-3668. PMLR, (2023)Identify Biological Modules and Hub MiRNAs for Oral Squamous Cell Carcinomas., , , , , , and . COMPSAC (2), page 199-203. IEEE Computer Society, (2017)978-1-5386-0367-3.