Y. Wang, T. Wu, Y. Wang, G. Wang, "Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning",Pacific Symposium on Biocomputing (PSB), 2020. [PDF]
S. Lu, Y. Zhang, Y. Wang, and C. Mack, "Learn Electronic Health Records by Fully Decentralized Federated Learning", Conference on Neural Information Processing Systems (NeurIPS), Workshop on Federated Learning for Data Privacy and Confidentiality, 2019. [PDF]
Z. Zhuang, K. Yu, S. Lu, and Y. Wang, ''Online meta-learning on non-convex setting'', Thirty-third Conference on Neural Information Processing Systems (NeurIPS) Workshop on Meta-Learning, 2019. [PDF]
K. Yu, Y. Wang, Y. Cai, C. Xiao, E. Zhao, L. Glass and J. Sun, "Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks",International Conference on Machine Learning (ICML 2019), time series workshop, 2019. [PDF]
F. Zhang, T. Wu, Y. Wang, Y. Cai, C. Xiao, E. Zhao, L. Glass and J. Sun, "Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model" , International Conference on Machine Learning (ICML 2019), time series workshop, 2019. [PDF]
W. Li, Y. Wang, Y. Cai, C. Arnold, E. Zhao, and Y. Yuan, "Semi-supervised Rare Disease Detection Using Generative Adversarial Network",Advances in Neural Information Processing Systems (NeurIPS 2018), Machine Learning for Health Workshop (ML4H 2018). [PDF]
W. Huang, Y. Wang, L. Zhou, E. Zhao, Y. Yuan, and A. Ribero, "Modeling Treatment Delays for Patients using Feature Label Pairs in a Time Series",Advances in Neural Information Processing Systems (NeurIPS 2018), Machine Learning for Health Workshop (ML4H 2018). [PDF]
Y.Wang, Y.Cai, "Message passing on factor graph: A novel approach for orphan drug physician targeting", Proceedings of the Industrial Conference on Data Mining, 2017. [ Springer link]
Signal processing:
Journal papers
Y.Wang and P. M. Djurić, “Distributed Bayesian estimation of linear models with unknown observation covariances,” IEEE Transaction on Signal Processing, vol.64, no.8, pp.1962-1971, April, 2016[PDF]
Y.Wang and P. M. Djurić, “Social learning with Bayesian agents and random decision making,” IEEE Transaction on Signal Processing, vol.63, no.12, pp.3241-3250, June, 2015.[PDF]
Y.Wang and P. M. Djurić, “Social learning in linear networks of heterogeneous agents,” Digital Signal Processing, March, 2015. [PDF]
Y.Wang and P. M. Djurić, “A gossip method for optimal consensus on a binary state from binary actions,” IEEE Journal of Selected Topics in Signal Processing, vol. 7, no. 2, pp. 274–283, 2013. [PDF]
P. M. Djurić and Y.Wang, “Distributed Bayesian learning in multiagent systems: Improving our understanding of its capabilities and limitations,” IEEE Signal Processing Magazine, vol. 29, no. 2, pp. 65–76, 2012. [PDF]
Conference papers
L.Gan, Y.Wang and P. M. Djurić, “Bayesian Learning in a network with multi-hypothesis decision exchanges,” in Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on, IEEE.
Y.Wang, L.Gan and P. M. Djurić, “Bayesian Social Learning with Decision Making in Multiple Rounds,” in Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015 International Workshop on, IEEE.
Y.Wang and P. M. Djurić, “Bayesian social learning in linear networks of agents with random behavior,” in Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on, IEEE.
Y.Wang and P. M. Djurić, “On sequential estimation of linear models from data with correlated noise,” in European Signal Processing Conference (EUSIPCO), 2014. [PDF]
Y.Wang and P. M. Djurić, “Sequential Bayesian learning in linear networks with random decision making,” in Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, IEEE, 2014, pp. 6404-6408. [PDF]
Y.Wang and P. M. Djurić, “Reaching Bayesian belief over networks in the presence of communication noise,” in Global Conference on Signal and Information Processing (GlobalSIP), IEEE, 2013, pp. 591-594. [PDF]
Y.Wang and P. M. Djurić, “Reaching Bayesian Consensus in cognitive systems by decision exchanges,” in European Signal Processing Conference (EUSIPCO), 2013. [PDF]
Y.Wang and P. M. Djurić, “Sequential estimation of linear models in distributed settings,” in European Signal Processing Conference (EUSIPCO), 2013. [PDF]
Y.Wang and P. M. Djurić, “Reaching consensus on a binary state by exchanging binary actions,” in Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on, IEEE, 2012, pp. 3297-3300. [PDF]
P. M. Djurić and Y.Wang, “Evolution of social belief in multiagent systems,” in Statistical Signal Processing Workshop (SSP), IEEE, 2012, pp. 353-356. [PDF]