Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization. - Kejing Yin; William K. Cheung 001; Yang Liu 007; Benjamin C. M. Fung; Jonathan Poon (IJCAI, 2018)

Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization. - Kejing Yin; Dong Qian; William K. Cheung 001; Benjamin C. M. Fung; Jonathan Poon (AAAI, 2019)

Context-Aware Imputation for Clinical Time Series. - Kejing Yin; William K. Cheung 001 (ICHI, 2019)

Medical Concept Embedding with Multiple Ontological Representations. - Lihong Song; Chin Wang Cheong; Kejing Yin; William K. Cheung 001; Benjamin C. M. Fung; Jonathan Poon (IJCAI, 2019)

LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values. - Kejing Yin; Ardavan Afshar; Joyce C. Ho; William K. Cheung 001; Chao Zhang 014; Jimeng Sun 001 (KDD, 2020)

Context-Aware Time Series Imputation for Multi-Analyte Clinical Data. - Kejing Yin; Liaoliao Feng; William K. Cheung 001 (J. Heal. Informatics Res., 2020)

SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors. - Ardavan Afshar; Kejing Yin; Sherry Yan; Cheng Qian 001; Joyce C. Ho; Haesun Park; Jimeng Sun 001 (AAAI, 2021)

TedPar: Temporally Dependent PARAFAC2 Factorization for Phenotype-based Disease Progression Modeling. - Kejing Yin; William K. Cheung 001; Benjamin C. M. Fung; Jonathan Poon (SDM, 2021)

Learning Inter-Modal Correspondence and Phenotypes From Multi-Modal Electronic Health Records. - Kejing Yin; William K. Cheung 001; Benjamin C. M. Fung; Jonathan Poon (IEEE Trans. Knowl. Data Eng., 2022)

Adaptive Integration of Categorical and Multi-relational Ontologies with EHR Data for Medical Concept Embedding. - Chin Wang Cheong; Kejing Yin; William K. Cheung 001; Benjamin C. M. Fung; Jonathan Poon (ACM Trans. Intell. Syst. Technol., 2023)

DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency. - Wenfang Yao; Kejing Yin; William K. Cheung 001; Jia Liu; Jing Qin (AAAI, 2024)

Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation. - Wenfang Yao; Chen Liu; Kejing Yin; William Kwok-Wai Cheung; Jing Qin (NeurIPS, 2024)

PATNet: Propensity-Adjusted Temporal Network for Joint Imputation and Prediction Using Binary EHRs With Observation Bias. - Kejing Yin; Dong Qian; William K. Cheung 001 (IEEE Trans. Knowl. Data Eng., 2024)

DNA-T: Deformable Neighborhood Attention Transformer for Irregular Medical Time Series. - Jianxuan Huang; Baoyao Yang; Kejing Yin; Jingwen Xu 002 (IEEE J. Biomed. Health Informatics, 2024)