Inferring multimodal latent topics from electronic health records Y Li, P Nair, XH Lu, Z Wen, Y Wang, AAK Dehaghi, Y Miao, W Liu, ... Nature communications 11 (1), 2536, 2020 | 69 | 2020 |
Structure aware experience replay for incremental learning in graph-based recommender systems K Ahrabian, Y Xu, Y Zhang, J Wu, Y Wang, M Coates Proceedings of the 30th ACM International Conference on Information …, 2021 | 29 | 2021 |
Graph structure aware contrastive knowledge distillation for incremental learning in recommender systems Y Wang, Y Zhang, M Coates Proceedings of the 30th ACM International Conference on Information …, 2021 | 18 | 2021 |
Computational Investigations of the Effects of N-Heterocyclic Carbene Ligands on the Mechanism, Reactivity, and Regioselectivity of Rh-Catalyzed Hydroborations H Shao, Y Wang, CW Bielawski, P Liu ACS Catalysis 10 (6), 3820-3827, 2020 | 16 | 2020 |
A graph-embedded topic model enables characterization of diverse pain phenotypes among UK biobank individuals Y Wang, R Benavides, L Diatchenko, AV Grant, Y Li Iscience 25 (6), 2022 | 12 | 2022 |
Structure aware incremental learning with personalized imitation weights for recommender systems Y Wang, Y Zhang, A Valkanas, R Tang, C Ma, J Hao, M Coates Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4711-4719, 2023 | 4 | 2023 |
Graph embedded topic modeling to mine UK Biobank phenotypes and medications with a case study on pain phenotypes Y Wang McGill University (Canada), 2022 | | 2022 |