Yunlong Wang

According to our database, Yunlong Wang authored at least 30 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2022

FD-GATDR: A Federated-Decentralized-Learning Graph Attention Network for Doctor Recommendation Using EHR.

Luning Bi, Yunlong Wang, Fan Zhang, Zhuqing Liu, Yong Cai, Emily Zhao

CoRR, 2022

2021

Exploiting Causality for Improved Prediction of Patient Volumes by Gaussian Processes.

Guanchao Feng, Kezi Yu, Yunlong Wang, Yilian Yuan, Petar M. Djuric

IEEE J. Biomed. Health Informatics, 2021

OA-MedSQL: Order-Aware Medical Sequence Learning for Clinical Outcome Prediction.

Tong Wu, Yue Wang, Yunlong Wang, Emily Zhao, Gao Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

eTREE: Learning Tree-structured Embeddings.

Faisal M. Almutairi, Yunlong Wang, Dong Wang, Emily Zhao, Nicholas D. Sidiropoulos

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-BasedPatient Similarity Learning.

Yue Wang, Tong Wu, Yunlong Wang, Gao Wang

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

Improving Convergent Cross Mapping for Causal Discovery with Gaussian Processes.

Guanchao Feng, Kezi Yu, Yunlong Wang, Yilian Yuan, Petar M. Djuric

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Representation Learning of EHR Data via Graph-Based Medical Entity Embedding.

Tong Wu, Yunlong Wang, Yue Wang, Emily Zhao, Yilian Yuan, Zhi Yang

CoRR, 2019

Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning.

Yue Wang, Tong Wu, Yunlong Wang, Gao Wang

CoRR, 2019

Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model.

Fan Zhang, Tong Wu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun

CoRR, 2019

Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks.

Kezi Yu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun

CoRR, 2019

Modelling Patient Sequences for Rare Disease Detection with Semi-supervised Generative Adversarial Nets.

Kezi Yu, Yunlong Wang, Yong Cai

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2019

2018

Modeling Treatment Delays for Patients using Feature Label Pairs in a Time Series.

Weiyu Huang, Yunlong Wang, Li Zhou, Emily Zhao, Yilian Yuan, Alejandro Ribeiro

CoRR, 2018

Semi-supervised Rare Disease Detection Using Generative Adversarial Network.

Wenyuan Li, Yunlong Wang, Yong Cai, Corey W. Arnold, Emily Zhao, Yilian Yuan

CoRR, 2018

2017

Rare Disease Physician Targeting: A Factor Graph Approach.

Yong Cai, Yunlong Wang, Dong Dai

CoRR, 2017

Message Passing on Factor Graph: A Novel Approach for Orphan Drug Physician Targeting.

Yunlong Wang, Yong Cai

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2017

Bayesian learning in a network with multi-hypothesis decision exchanges.

Lingqing Gan, Yunlong Wang, Petar M. Djuric

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Distributed Bayesian Estimation of Linear Models With Unknown Observation Covariances.

Yunlong Wang, Petar M. Djuric

IEEE Trans. Signal Process., 2016

Opinion dynamics in multi-agent systems with binary decision exchanges.

Yunlong Wang, Lingqing Gan, Petar M. Djuric

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Social Learning With Bayesian Agents and Random Decision Making.

Yunlong Wang, Petar M. Djuric

IEEE Trans. Signal Process., 2015

Social learning with heterogeneous agents and sequential decision making.

Yunlong Wang, Petar M. Djuric

Digit. Signal Process., 2015

Bayesian social learning in linear networks of agents with random behavior.

Yunlong Wang, Petar M. Djuric

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Bayesian social learning with decision making in multiple rounds.

Yunlong Wang, Lingqing Gan, Petar M. Djuric

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014

Sequential Bayesian learning in linear networks with random decision making.

Yunlong Wang, Petar M. Djuric

Proceedings of the IEEE International Conference on Acoustics, 2014

On sequential estimation of linear models from data with correlated noise.

Yunlong Wang, Petar M. Djuric

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

A Gossip Method for Optimal Consensus on a Binary State From Binary Actions.

Yunlong Wang, Petar M. Djuric

IEEE J. Sel. Top. Signal Process., 2013

Reaching Bayesian belief Over networks in the presence of communication noise.

Yunlong Wang, Petar M. Djuric

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Reaching Bayesian consensus in cognitive systems by decision exchanges.

Yunlong Wang, Petar M. Djuric

Proceedings of the 21st European Signal Processing Conference, 2013

Sequential estimation of linear models in distributed settings.

Yunlong Wang, Petar M. Djuric

Proceedings of the 21st European Signal Processing Conference, 2013

2012

Disturbed Bayesian Learning in Multiagent Systems: Improving our understanding of its capabilities and limitations.

Petar M. Djuric, Yunlong Wang

IEEE Signal Process. Mag., 2012

Reaching consensus on a binary state by exchanging binary actions.

Yunlong Wang, Petar M. Djuric

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012