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Kejing Yin
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2020 – today
- 2024
- [j5]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): 4224-4237 (2024) - [j4]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): 2600-2613 (2024) - [c8]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: 16416-16424 - [i3]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 abs/2403.06197 (2024) - 2023
- [j3]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): 111:1-111:20 (2023) - 2022
- [j2]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): 4328-4341 (2022) - 2021
- [c7]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: 6548-6556 - [c6]Kejing Yin
, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon:
TedPar: Temporally Dependent PARAFAC2 Factorization for Phenotype-based Disease Progression Modeling. SDM 2021: 594-602 - 2020
- [j1]Kejing Yin
, Liaoliao Feng, William K. Cheung:
Context-Aware Time Series Imputation for Multi-Analyte Clinical Data. J. Heal. Informatics Res. 4(4): 411-426 (2020) - [c5]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: 1625-1635 - [i2]Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun:
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors. CoRR abs/2010.04081 (2020) - [i1]Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon:
Learning Inter-Modal Correspondence and Phenotypes from Multi-Modal Electronic Health Records. CoRR abs/2011.06301 (2020)
2010 – 2019
- 2019
- [c4]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: 1246-1253 - [c3]Kejing Yin
, William K. Cheung:
Context-Aware Imputation for Clinical Time Series. ICHI 2019: 1-3 - [c2]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: 4613-4619 - 2018
- [c1]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: 3627-3633
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last updated on 2024-08-05 21:13 CEST by the dblp team
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