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Kejing Yin
ORCID
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
CoRR
AAAI
IEEE Trans. Knowl. Data Eng.
IJCAI
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Publications
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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)