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
Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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
Adaptive Integration of Categorical and Multi-relational Ontologies with EHR Data for Medical Concept Embedding.
ACM Trans. Intell. Syst. Technol., December, 2023
Learning Inter-Modal Correspondence and Phenotypes From Multi-Modal Electronic Health Records.
IEEE Trans. Knowl. Data Eng., 2022
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
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
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
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