| 2024 | AAAI | 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 |
| 2021 | AAAI | SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors. | Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun |
| 2021 | SDM | TedPar: Temporally Dependent PARAFAC2 Factorization for Phenotype-based Disease Progression Modeling. | Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon |
| 2020 | KDD | 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 |
| 2019 | AAAI | 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 |
| 2019 | IJCAI | Medical Concept Embedding with Multiple Ontological Representations. | Lihong Song, Chin Wang Cheong, Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon |
| 2018 | IJCAI | 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 |