| Medical Concept Embedding with Multiple Ontological Representations L Song, CW Cheong, K Yin, WK Cheung, BCM Fung, J Poon IJCAI 19, 4613-4619, 2019 | 55 | 2019 |
| Rapidly measuring unburned carbon in fly ash using molecular CN by laser-induced breakdown spectroscopy S Yao, Y Shen, K Yin, G Pan, J Lu Energy & Fuels 29 (2), 1257-1263, 2015 | 37 | 2015 |
| Learning phenotypes and dynamic patient representations via RNN regularized collective non-negative tensor factorization K Yin, D Qian, WK Cheung, BCM Fung, J Poon Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1246-1253, 2019 | 26 | 2019 |
| LogPar: Logistic PARAFAC2 factorization for temporal binary data with missing values K Yin, A Afshar, JC Ho, WK Cheung, C Zhang, J Sun Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 25 | 2020 |
| Identifying laser-induced plasma emission spectra of particles in a gas–solid flow based on the standard deviation of intensity across an emission line S Yao, L Zhang, K Yin, K Bai, J Xu, Z Lu, J Lu Journal of Analytical Atomic Spectrometry 33 (10), 1676-1682, 2018 | 19 | 2018 |
| Swift: Scalable wasserstein factorization for sparse nonnegative tensors A Afshar, K Yin, S Yan, C Qian, J Ho, H Park, J Sun Proceedings of the AAAI conference on artificial intelligence 35 (8), 6548-6556, 2021 | 16 | 2021 |
| Tedpar: Temporally dependent parafac2 factorization for phenotype-based disease progression modeling K Yin, WK Cheung, BCM Fung, J Poon Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021 | 12 | 2021 |
| Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization. K Yin, WK Cheung, Y Liu, BCM Fung, J Poon IJCAI, 3627-3633, 2018 | 12 | 2018 |
| Learning inter-modal correspondence and phenotypes from multi-modal electronic health records K Yin, WK Cheung, BCM Fung, J Poon IEEE Transactions on Knowledge and Data Engineering 34 (9), 4328-4341, 2020 | 5 | 2020 |
| Context-aware imputation for clinical time series K Yin, WK Cheung 2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-3, 2019 | 5 | 2019 |
| Context-aware time series imputation for multi-analyte clinical data K Yin, L Feng, WK Cheung Journal of Healthcare Informatics Research 4, 411-426, 2020 | 4 | 2020 |
| PATNet: Propensity-Adjusted Temporal Network for Joint Imputation and Prediction Using Binary EHRs With Observation Bias K Yin, D Qian, WK Cheung IEEE Transactions on Knowledge and Data Engineering, 2023 | 1 | 2023 |
| DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency W Yao, K Yin, WK Cheung, J Liu, J Qin Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16416 …, 2024 | | 2024 |
| Adaptive Integration of Categorical and Multi-relational Ontologies with EHR Data for Medical Concept Embedding CW Cheong, K Yin, WK Cheung, BCM Fung, J Poon ACM Transactions on Intelligent Systems and Technology 14 (6), 1-20, 2023 | | 2023 |
William K. CheungProfessor of Computer Science, Hong Kong Baptist UniversityAdresă de e-mail confirmată pe comp.hkbu.edu.hk
