Kejing Yin

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Electronic Health Records

Tensor Factorization

Factorization Methods

Disease Progression

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Wenfang Yao, Kejing Yin, William K. Cheung, Jia Liu, Jing Qin
DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency. AAAI (2024)
Wenfang Yao, Kejing Yin, William K. Cheung, Jia Liu, Jing Qin
DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency. CoRR (2024)
Jianxuan Huang, Baoyao Yang, Kejing Yin, Jingwen Xu
DNA-T: Deformable Neighborhood Attention Transformer for Irregular Medical Time Series. IEEE J. Biomed. Health Informatics 28 (7) (2024)
Kejing Yin, Dong Qian, William K. Cheung
PATNet: Propensity-Adjusted Temporal Network for Joint Imputation and Prediction Using Binary EHRs With Observation Bias. IEEE Trans. Knowl. Data Eng. 36 (6) (2024)
Chin Wang Cheong, Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon
Adaptive Integration of Categorical and Multi-relational Ontologies with EHR Data for Medical Concept Embedding. ACM Trans. Intell. Syst. Technol. 14 (6) (2023)
Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon
Learning Inter-Modal Correspondence and Phenotypes From Multi-Modal Electronic Health Records. IEEE Trans. Knowl. Data Eng. 34 (9) (2022)
Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors. AAAI (2021)
Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon
TedPar: Temporally Dependent PARAFAC2 Factorization for Phenotype-based Disease Progression Modeling. SDM (2021)
Kejing Yin, Ardavan Afshar, Joyce C. Ho, William K. Cheung, Chao Zhang, Jimeng Sun
LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values. KDD (2020)
Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon
Learning Inter-Modal Correspondence and Phenotypes from Multi-Modal Electronic Health Records. CoRR (2020)
Kejing Yin, Liaoliao Feng, William K. Cheung
Context-Aware Time Series Imputation for Multi-Analyte Clinical Data. J. Heal. Informatics Res. 4 (4) (2020)
Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors. CoRR (2020)
Lihong Song, Chin Wang Cheong, Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon
Medical Concept Embedding with Multiple Ontological Representations. IJCAI (2019)
Kejing Yin, William K. Cheung
Context-Aware Imputation for Clinical Time Series. ICHI (2019)
Kejing Yin, Dong Qian, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon
Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization. AAAI (2019)
Kejing Yin, William K. Cheung, Yang Liu, Benjamin C. M. Fung, Jonathan Poon
Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization. IJCAI (2018)