Yunlong Wang

Affiliations:
  • IMS Health Inc., Plymouth Meeting, PA, USA
  • University of Minnesota, Department of Electrical and Computer Engineering, Minneapolis, MN, USA (former)
  • Stony Brook University, Department of Electrical and Computer Engineering, NY, USA (PhD 2015)


According to our database1, Yunlong Wang authored at least 26 papers between 2012 and 2021.

Collaborative distances:

Timeline

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Bibliography

2021
Exploiting Causality for Improved Prediction of Patient Volumes by Gaussian Processes.
IEEE J. Biomed. Health Informatics, 2021

OA-MedSQL: Order-Aware Medical Sequence Learning for Clinical Outcome Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

eTREE: Learning Tree-structured Embeddings.
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.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

Improving Convergent Cross Mapping for Causal Discovery with Gaussian Processes.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Representation Learning of EHR Data via Graph-Based Medical Entity Embedding.
CoRR, 2019

Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning.
CoRR, 2019

Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model.
CoRR, 2019

Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks.
CoRR, 2019

2018
Modeling Treatment Delays for Patients using Feature Label Pairs in a Time Series.
CoRR, 2018

Semi-supervised Rare Disease Detection Using Generative Adversarial Network.
CoRR, 2018

2017
Bayesian learning in a network with multi-hypothesis decision exchanges.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Distributed Bayesian Estimation of Linear Models With Unknown Observation Covariances.
IEEE Trans. Signal Process., 2016

Opinion dynamics in multi-agent systems with binary decision exchanges.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Social Learning With Bayesian Agents and Random Decision Making.
IEEE Trans. Signal Process., 2015

Social learning with heterogeneous agents and sequential decision making.
Digit. Signal Process., 2015

Bayesian social learning in linear networks of agents with random behavior.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Bayesian social learning with decision making in multiple rounds.
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.
Proceedings of the IEEE International Conference on Acoustics, 2014

On sequential estimation of linear models from data with correlated noise.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
A Gossip Method for Optimal Consensus on a Binary State From Binary Actions.
IEEE J. Sel. Top. Signal Process., 2013

Reaching Bayesian belief Over networks in the presence of communication noise.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Reaching Bayesian consensus in cognitive systems by decision exchanges.
Proceedings of the 21st European Signal Processing Conference, 2013

Sequential estimation of linear models in distributed settings.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
Disturbed Bayesian Learning in Multiagent Systems: Improving our understanding of its capabilities and limitations.
IEEE Signal Process. Mag., 2012

Reaching consensus on a binary state by exchanging binary actions.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012


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