Kejing Yin

Orcid: 0000-0003-4146-3338

According to our database1, Kejing Yin authored at least 13 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
DNA-T: Deformable Neighborhood Attention Transformer for Irregular Medical Time Series.
IEEE J. Biomed. Health Informatics, July, 2024

PATNet: Propensity-Adjusted Temporal Network for Joint Imputation and Prediction Using Binary EHRs With Observation Bias.
IEEE Trans. Knowl. Data Eng., June, 2024

DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency.
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.
ACM Trans. Intell. Syst. Technol., December, 2023

2022
Learning Inter-Modal Correspondence and Phenotypes From Multi-Modal Electronic Health Records.
IEEE Trans. Knowl. Data Eng., 2022

2021
TedPar: Temporally Dependent PARAFAC2 Factorization for Phenotype-based Disease Progression Modeling.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Context-Aware Time Series Imputation for Multi-Analyte Clinical Data.
J. Heal. Informatics Res., 2020

LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values.
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.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Context-Aware Imputation for Clinical Time Series.
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.
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.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018


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