| Decentralized federated learning for electronic health records S Lu, Y Zhang, Y Wang 2020 54th Annual Conference on Information Sciences and Systems (CISS), 1-5, 2020 | 85 | 2020 |
| Distributed Bayesian learning in multiagent systems: Improving our understanding of its capabilities and limitations PM Djurić, Y Wang IEEE Signal Processing Magazine 29 (2), 65-76, 2012 | 75 | 2012 |
| Social learning with Bayesian agents and random decision making Y Wang, PM Djurić IEEE Transactions on Signal Processing 63 (12), 3241-3250, 2015 | 40 | 2015 |
| Leveraging graph-based hierarchical medical entity embedding for healthcare applications T Wu, Y Wang, Y Wang, E Zhao, Y Yuan Scientific reports 11 (1), 5858, 2021 | 34 | 2021 |
| Learn electronic health records by fully decentralized federated learning S Lu, Y Zhang, Y Wang, C Mack arXiv preprint arXiv:1912.01792, 2019 | 34 | 2019 |
| Semi-supervised rare disease detection using generative adversarial network W Li, Y Wang, Y Cai, C Arnold, E Zhao, Y Yuan arXiv preprint arXiv:1812.00547, 2018 | 23 | 2018 |
| No-regret non-convex online meta-learning Z Zhuang, Y Wang, K Yu, S Lu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 21 | 2020 |
| Distributed Bayesian estimation of linear models with unknown observation covariances Y Wang, PM Djurić IEEE Transactions on Signal Processing 64 (8), 1962-1971, 2015 | 21 | 2015 |
| A gossip method for optimal consensus on a binary state from binary actions Y Wang, PM Djuric IEEE Journal of Selected Topics in Signal Processing 7 (2), 274-283, 2013 | 21 | 2013 |
| Rare disease detection by sequence modeling with generative adversarial networks K Yu, Y Wang, Y Cai, C Xiao, E Zhao, L Glass, J Sun arXiv preprint arXiv:1907.01022, 2019 | 18 | 2019 |
| Representation learning of ehr data via graph-based medical entity embedding T Wu, Y Wang, Y Wang, E Zhao, Y Yuan, Z Yang arXiv preprint arXiv:1910.02574, 2019 | 16 | 2019 |
| Enhancing model interpretability and accuracy for disease progression prediction via phenotype-based patient similarity learning Y Wang, T Wu, Y Wang, G Wang Pacific Symposium on Biocomputing 2020, 511-522, 2019 | 14 | 2019 |
| Improving convergent cross mapping for causal discovery with Gaussian processes G Feng, K Yu, Y Wang, Y Yuan, PM Djurić ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 10 | 2020 |
| Trm-uap: Enhancing the transferability of data-free universal adversarial perturbation via truncated ratio maximization Y Liu, X Feng, Y Wang, W Yang, D Ming Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 9 | 2023 |
| Predicting treatment initiation from clinical time series data via graph-augmented time-sensitive model F Zhang, T Wu, Y Wang, Y Cai, C Xiao, E Zhao, L Glass, J Sun arXiv preprint arXiv:1907.01099, 2019 | 9 | 2019 |
| Reaching consensus on a binary state by exchanging binary actions Y Wang, PM Djurić 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 9 | 2012 |
| Sequential bayesian learning in linear networks with random decision making Y Wang, PM Djurić 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 7 | 2014 |
| Exploiting causality for improved prediction of patient volumes by Gaussian processes G Feng, K Yu, Y Wang, Y Yuan, PM Djurić IEEE Journal of Biomedical and Health Informatics 25 (7), 2487-2496, 2021 | 6 | 2021 |
| Social learning with heterogeneous agents and sequential decision making Y Wang, PM Djurić Digital Signal Processing 47, 17-24, 2015 | 6 | 2015 |
| eTREE: Learning Tree-structured Embeddings FM Almutairi, Y Wang, D Wang, E Zhao, ND Sidiropoulos Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 6609-6617, 2021 | 5 | 2021 |
