2024 AAAI-24 DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency W. Yao* , K. Yin* , W. K. Cheung , J. Liu , and J. Qin In Proceedings of the AAAI Conference on Artificial Intelligence , 2024 Acceptance ratio: 2342⁄9862 = 23.75% Bib PDF Code @inproceedings{drfuse2024yao, title = {DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency}, author = {Yao, Wenfang and Yin, Kejing and Cheung, William K. and Liu, Jia and Qin, Jing}, booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence}, volume = {38}, year = {2024} } 2023 ACM TIST Adaptive Integration of Categorical and Multi-relational Ontologies with EHR Data for Medical Concept Embedding C. W. Cheong , K. Yin , W. K. Cheung , B. C. Fung , and J. Poon ACM Transactions on Intelligent Systems and Technology, 2023 Bib Publisher @article{cheong2023adaptive, title = {Adaptive Integration of Categorical and Multi-relational Ontologies with EHR Data for Medical Concept Embedding}, author = {Cheong, Chin Wang and Yin, Kejing and Cheung, William K and Fung, Benjamin CM and Poon, Jonathan}, journal = {ACM Transactions on Intelligent Systems and Technology}, volume = {14}, number = {6}, pages = {1--20}, year = {2023}, publisher = {ACM New York, NY} } IEEE TKDE PATNet: Propensity-Adjusted Temporal Network for Joint Imputation and Prediction Using Binary EHRs With Observation Bias K. Yin , D. Qian , and W. K. Cheung IEEE Transactions on Knowledge and Data Engineering, 2023 Bib Publisher PDF @article{yin2023patnet, title = {PATNet: Propensity-Adjusted Temporal Network for Joint Imputation and Prediction Using Binary EHRs With Observation Bias}, author = {Yin, Kejing and Qian, Dong and Cheung, William K}, journal = {IEEE Transactions on Knowledge and Data Engineering}, year = {2023}, publisher = {IEEE} } 2022 IEEE TKDE Learning Inter-Modal Correspondence and Phenotypes From Multi-Modal Electronic Health Records K. Yin , W. K. Cheung , B. C. Fung , and J. Poon IEEE Transactions on Knowledge and Data Engineering, 2022 Bib Publisher PDF Code @article{yin2022learning, title = {Learning Inter-Modal Correspondence and Phenotypes From Multi-Modal Electronic Health Records}, author = {Yin, Kejing and Cheung, William K and Fung, Benjamin CM and Poon, Jonathan}, journal = {IEEE Transactions on Knowledge and Data Engineering}, volume = {34}, number = {09}, pages = {4328--4341}, year = {2022}, publisher = {IEEE Computer Society} } 2021 AAAI-21 SWIFT: Scalable Wasserstein factorization for sparse nonnegative tensors A. Afshar , K. Yin , S. Yan , C. Qian , J. Ho , H. Park , and J. Sun In Proceedings of the AAAI Conference on Artificial Intelligence , 2021 Acceptance ratio: 1692⁄7911 = 21.4% Bib Publisher PDF Code @inproceedings{afshar2021swift, title = {{SWIFT}: Scalable {Wasserstein} factorization for sparse nonnegative tensors}, author = {Afshar, Ardavan and Yin, Kejing and Yan, Sherry and Qian, Cheng and Ho, Joyce and Park, Haesun and Sun, Jimeng}, booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence}, volume = {35}, number = {8}, pages = {6548--6556}, year = {2021} } SDM-21 TedPar: Temporally dependent PARAFAC2 factorization for phenotype-based disease progression modeling K. Yin , W. K. Cheung , B. C. Fung , and J. Poon In Proceedings of the 2021 SIAM International Conference on Data Mining (SDM) , 2021 Acceptance ratio: 85⁄400 = 21.25% Bib Publisher PDF @inproceedings{yin2021tedpar, title = {{TedPar}: Temporally dependent {PARAFAC2} factorization for phenotype-based disease progression modeling}, author = {Yin, Kejing and Cheung, William K and Fung, Benjamin CM and Poon, Jonathan}, booktitle = {Proceedings of the 2021 SIAM International Conference on Data Mining (SDM)}, pages = {594--602}, year = {2021}, organization = {Society for Industrial and Applied Mathematics} } 2020 KDD-20 LogPar: Logistic PARAFAC2 factorization for temporal binary data with missing values K. Yin , A. Afshar , J. C. Ho , W. K. Cheung , C. Zhang , and J. Sun In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , 2020 Research Track; acceptance ratio: 216⁄1279 = 16.9% Bib Publisher PDF Code @inproceedings{yin2020logpar, title = {LogPar: Logistic PARAFAC2 factorization for temporal binary data with missing values}, author = {Yin, Kejing and Afshar, Ardavan and Ho, Joyce C and Cheung, William K and Zhang, Chao and Sun, Jimeng}, booktitle = {Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining}, pages = {1625--1635}, year = {2020} } JHIR Context-aware time series imputation for multi-analyte clinical data K. Yin , L. Feng , and W. K. Cheung Journal of Healthcare Informatics Research, 2020 This is an extension of our previous two-page abstract appeared in ICHI-19. Bib Publisher PDF Code Dataset @article{yin2020context, title = {Context-aware time series imputation for multi-analyte clinical data}, author = {Yin, Kejing and Feng, Liaoliao and Cheung, William K}, journal = {Journal of Healthcare Informatics Research}, volume = {4}, pages = {411--426}, year = {2020}, publisher = {Springer International Publishing} } 2019 AAAI-19 Learning phenotypes and dynamic patient representations via RNN regularized collective non-negative tensor factorization K. Yin , D. Qian , W. K. Cheung , B. C. Fung , and J. Poon In Proceedings of the AAAI Conference on Artificial Intelligence , 2019 Acceptance ratio: 1150⁄7095 = 16.2% Bib Publisher PDF Code @inproceedings{yin2019learning, title = {Learning phenotypes and dynamic patient representations via RNN regularized collective non-negative tensor factorization}, author = {Yin, Kejing and Qian, Dong and Cheung, William K and Fung, Benjamin CM and Poon, Jonathan}, booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence}, volume = {33}, number = {01}, pages = {1246--1253}, year = {2019} } IJCAI-19 Medical Concept Embedding with Multiple Ontological Representations L. Song , C. W. Cheong , K. Yin , W. K. Cheung , B. C. M. Fung , and J. Poon In Proceedings of the 28th International Joint Conference on Artificial Intelligence , 2019 Acceptance ratio: 850⁄4752 = 17.9% Bib Publisher PDF Code @inproceedings{song2019medical, doi = {10.24963/ijcai.2019/641}, title = {Medical Concept Embedding with Multiple Ontological Representations}, author = {Song, Lihong and Cheong, Chin Wang and Yin, Kejing and Cheung, William K and Fung, Benjamin C M and Poon, Jonathan}, booktitle = {Proceedings of the 28th International Joint Conference on Artificial Intelligence}, volume = {19}, pages = {4613--4619}, year = {2019} } ICHI-19 Context-aware imputation for clinical time series K. Yin , and W. K. Cheung In 2019 IEEE International Conference on Healthcare Informatics (ICHI) , 2019 Challenge track; two-page abstract Bib Publisher PDF Code @inproceedings{yin2019context, title = {Context-aware imputation for clinical time series}, author = {Yin, Kejing and Cheung, William K}, booktitle = {2019 IEEE International Conference on Healthcare Informatics (ICHI)}, pages = {1--3}, year = {2019}, organization = {IEEE} } 2018 IJCAI-18 Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization. K. Yin , W. K. Cheung , Y. Liu , B. C. M. Fung , and J. Poon In Proceedings of the 27th International Joint Conference on Artificial Intelligence , 2018 Acceptance ratio: 710⁄3470 = 20% Bib Publisher PDF Code Dataset @inproceedings{yin2018joint, doi = {10.24963/ijcai.2018/504}, title = {Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization.}, author = {Yin, Kejing and Cheung, William K and Liu, Yang and Fung, Benjamin C M and Poon, Jonathan}, booktitle = {Proceedings of the 27th International Joint Conference on Artificial Intelligence}, pages = {3627--3633}, year = {2018} }