| Medical Concept Embedding with Multiple Ontological Representations L Song, CW Cheong, K Yin, WK Cheung, BCM Fung, J Poon IJCAI 19, 4613-4619, 2019 | 63 | 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 | 40 | 2015 |
| 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 | 37 | 2020 |
| 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 | 30 | 2019 |
| 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 | 24 | 2018 |
| 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 | 20 | 2024 |
| 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 | 18 | 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 | 16 | 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 | 13 | 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 | 10 | 2020 |
| 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 | 7 | 2020 |
| Context-aware imputation for clinical time series K Yin, WK Cheung 2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-3, 2019 | 6 | 2019 |
| Dna-t: Deformable neighborhood attention transformer for irregular medical time series J Huang, B Yang, K Yin, J Xu IEEE Journal of Biomedical and Health Informatics, 2024 | 5 | 2024 |
| 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 36 (6), 2600-2613, 2023 | 4 | 2023 |
| Addressing asynchronicity in clinical multimodal fusion via individualized chest x-ray generation W Yao, C Liu, K Yin, W Cheung, J Qin Advances in Neural Information Processing Systems 37, 29001-29028, 2024 | 3 | 2024 |
| Exploring high-quality microbial genomes by assembling short-reads with long-range connectivity Z Zhang, J Xiao, H Wang, C Yang, Y Huang, Z Yue, Y Chen, L Han, K Yin, ... nature communications 15 (1), 4631, 2024 | 3 | 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 | 3 | 2023 |
| LRTK: a platform agnostic toolkit for linked-read analysis of both human genome and metagenome C Yang, Z Zhang, Y Huang, X Xie, H Liao, J Xiao, WP Veldsman, K Yin, ... GigaScience 13, giae028, 2024 | 1 | 2024 |
| Explanation beyond Individual Features: Instance-wise Feature Grouping for EHR Predictive Analytics CW Cheong, K Yin, WK Cheung, I Tsang | | 2024 |
| An End-to-end Learning Approach for Counterfactual Generation and Individual Treatment Effect Estimation F Wu, K Yin, WK Cheung The 2024 IEEE Conference on Artificial Intelligence, 170-176, 2024 | | 2024 |
William K. CheungProfessor of Computer Science, Hong Kong Baptist UniversityZweryfikowany adres z comp.hkbu.edu.hk
