Kejing Yin

According to our database, Kejing Yin authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DNA-T: Deformable Neighborhood Attention Transformer for Irregular Medical Time Series.

Jianxuan Huang, Baoyao Yang, Kejing Yin, Jingwen Xu

IEEE J. Biomed. Health Informatics, July, 2024

PATNet: Propensity-Adjusted Temporal Network for Joint Imputation and Prediction Using Binary EHRs With Observation Bias.

Kejing Yin, Dong Qian, William K. Cheung

IEEE Trans. Knowl. Data Eng., June, 2024

DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency.

Wenfang Yao, Kejing Yin, William K. Cheung, Jia Liu, Jing Qin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Adaptive Integration of Categorical and Multi-relational Ontologies with EHR Data for Medical Concept Embedding.

Chin Wang Cheong, Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon

ACM Trans. Intell. Syst. Technol., December, 2023

2022

Learning Inter-Modal Correspondence and Phenotypes From Multi-Modal Electronic Health Records.

Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon

IEEE Trans. Knowl. Data Eng., 2022

2021

TedPar: Temporally Dependent PARAFAC2 Factorization for Phenotype-based Disease Progression Modeling.

Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors.

Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Context-Aware Time Series Imputation for Multi-Analyte Clinical Data.

Kejing Yin, Liaoliao Feng, William K. Cheung

J. Heal. Informatics Res., 2020

LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values.

Kejing Yin, Ardavan Afshar, Joyce C. Ho, William K. Cheung, Chao Zhang, Jimeng Sun

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Medical Concept Embedding with Multiple Ontological Representations.

Lihong Song, Chin Wang Cheong, Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Context-Aware Imputation for Clinical Time Series.

Kejing Yin, William K. Cheung

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization.

Kejing Yin, Dong Qian, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization.

Kejing Yin, William K. Cheung, Yang Liu, Benjamin C. M. Fung, Jonathan Poon

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018