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Yunlong Wang
Yunlong Wang
Engagement Manager, Advanced Analytics, IQVIA
Verified email at iqvia.com - Homepage
Title
Cited by
Cited by
Year
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
772012
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
632020
Social learning with Bayesian agents and random decision making
Y Wang, PM Djurić
IEEE Transactions on Signal Processing 63 (12), 3241-3250, 2015
392015
Learn electronic health records by fully decentralized federated learning
S Lu, Y Zhang, Y Wang, C Mack
arXiv preprint arXiv:1912.01792, 2019
302019
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
232021
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
222018
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
212013
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
202020
Distributed Bayesian estimation of linear models with unknown observation covariances
Y Wang, PM Djurić
IEEE Transactions on Signal Processing 64 (8), 1962-1971, 2015
202015
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
152019
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
142019
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
102019
Reaching consensus on a binary state by exchanging binary actions
Y Wang, PM Djurić
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
92012
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
82020
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
82019
Sequential bayesian learning in linear networks with random decision making
Y Wang, PM Djurić
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
72014
Online meta-learning on non-convex setting
Z Zhuang, Y Wang, K Yu, S Lu
arXiv preprint arXiv:1910.10196 3, 2019
52019
Social learning with heterogeneous agents and sequential decision making
Y Wang, PM Djurić
Digital Signal Processing 47, 17-24, 2015
52015
Sequential estimation of linear models in distributed settings
Y Wang, PM Djurić
21st European Signal Processing Conference (EUSIPCO 2013), 1-5, 2013
52013
Suod: A scalable unsupervised outlier detection framework
Y Zhao, X Hu, C Cheng, C Wang, C Xiao, Y Wang, J Sun, L Akoglu
arXiv preprint arXiv:2003.05731, 2020
42020
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