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ORCIDYunlong Wang 0001
Person information
- affiliation: IMS Health Inc., Plymouth Meeting, PA, USA
- affiliation (former): University of Minnesota, Department of Electrical and Computer Engineering, Minneapolis, MN, USA
- affiliation (PhD 2015): Stony Brook University, Department of Electrical and Computer Engineering, NY, USA
Other persons with the same name
- Yunlong Wang — disambiguation page
- Yunlong Wang 0002
![[0000-0002-9451-1746]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9451-1746")
— Aalborg University, Department of Energy Technology, Esbjerg, Denmark - Yunlong Wang 0003 — University of Science and Technology of China, Hefei, China (and 1 more)
- Yunlong Wang 0004 — Tsinghua University, Department of Electronic Engineering, Beijing, China (and 1 more)
- Yunlong Wang 0005 — National University of Singapore (and 1 more)
- Yunlong Wang 0006 — Dalian University of Technology, Dalian, China
- Yunlong Wang 0007 — Northeastern University, School of Mechanical Engineering and Automation, Shenyang, China
- Yunlong Wang 0008 — Northwestern Polytechnical University, School of Software, Xi'an, China
- Yunlong Wang 0009 — Tsinghua University, School of Vehicle and Mobility, State Key Laboratory of Automotive Safety and Energy, Beijing, China
- Yunlong Wang 0010 — IQVIA, Advanced Analytics, Plymouth Meeting, PA, USA
- Yunlong Wang 0011 — Northeastern University, College of Information Science and Engineering, Shenyang, China
- Yunlong Wang 0012 — Anhui University of Science and Technology, School of Electrical and Information Engineering, State Key Laboratory of Deep Coal Mining Response and Disaster Prevention and Control, Huainan, China
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2020 – today
- 2022
[i9]Luning Bi, Yunlong Wang, Fan Zhang, Zhuqing Liu, Yong Cai, Emily Zhao:
FD-GATDR: A Federated-Decentralized-Learning Graph Attention Network for Doctor Recommendation Using EHR. CoRR abs/2207.05750 (2022)- 2021
- [j6]Guanchao Feng, Kezi Yu, Yunlong Wang, Yilian Yuan, Petar M. Djuric:
Exploiting Causality for Improved Prediction of Patient Volumes by Gaussian Processes. IEEE J. Biomed. Health Informatics 25(7): 2487-2496 (2021) - [c16]Faisal M. Almutairi, Yunlong Wang, Dong Wang, Emily Zhao, Nicholas D. Sidiropoulos:
eTREE: Learning Tree-structured Embeddings. AAAI 2021: 6609-6617 - [c15]Tong Wu, Yue Wang, Yunlong Wang, Emily Zhao, Gao Wang:
OA-MedSQL: Order-Aware Medical Sequence Learning for Clinical Outcome Prediction. BIBM 2021: 1585-1589 - 2020
- [c14]Guanchao Feng, Kezi Yu, Yunlong Wang, Yilian Yuan, Petar M. Djuric:
Improving Convergent Cross Mapping for Causal Discovery with Gaussian Processes. ICASSP 2020: 3692-3696 - [c13]Yue Wang, Tong Wu, Yunlong Wang, Gao Wang:
Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-BasedPatient Similarity Learning. PSB 2020: 511-522 - [i8]Faisal M. Almutairi, Yunlong Wang, Dong Wang, Emily Zhao, Nicholas D. Sidiropoulos:
eTREE: Learning Tree-structured Embeddings. CoRR abs/2012.10853 (2020)
2010 – 2019
- 2019
- [c12]Kezi Yu, Yunlong Wang, Yong Cai:
Modelling Patient Sequences for Rare Disease Detection with Semi-supervised Generative Adversarial Nets. AALTD@PKDD/ECML 2019: 141-150 - [i7]Kezi Yu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun:
Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks. CoRR abs/1907.01022 (2019) - [i6]Fan Zhang, Tong Wu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun:
Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model. CoRR abs/1907.01099 (2019) - [i5]Yue Wang, Tong Wu, Yunlong Wang, Gao Wang:
Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning. CoRR abs/1909.11913 (2019) - [i4]Tong Wu, Yunlong Wang, Yue Wang, Emily Zhao, Yilian Yuan, Zhi Yang:
Representation Learning of EHR Data via Graph-Based Medical Entity Embedding. CoRR abs/1910.02574 (2019) - 2018
- [i3]Wenyuan Li, Yunlong Wang, Yong Cai, Corey W. Arnold, Emily Zhao, Yilian Yuan:
Semi-supervised Rare Disease Detection Using Generative Adversarial Network. CoRR abs/1812.00547 (2018) - [i2]Weiyu Huang, Yunlong Wang, Li Zhou, Emily Zhao, Yilian Yuan, Alejandro Ribeiro:
Modeling Treatment Delays for Patients using Feature Label Pairs in a Time Series. CoRR abs/1812.00554 (2018) - 2017
- [c11]Lingqing Gan, Yunlong Wang, Petar M. Djuric:
Bayesian learning in a network with multi-hypothesis decision exchanges. ICASSP 2017: 4089-4093 - [c10]Yunlong Wang, Yong Cai:
Message Passing on Factor Graph: A Novel Approach for Orphan Drug Physician Targeting. ICDM 2017: 137-150 - [i1]Yong Cai, Yunlong Wang, Dong Dai:
Rare Disease Physician Targeting: A Factor Graph Approach. CoRR abs/1701.05644 (2017) - 2016
- [j5]Yunlong Wang, Petar M. Djuric:
Distributed Bayesian Estimation of Linear Models With Unknown Observation Covariances. IEEE Trans. Signal Process. 64(8): 1962-1971 (2016) - [c9]Yunlong Wang, Lingqing Gan, Petar M. Djuric:
Opinion dynamics in multi-agent systems with binary decision exchanges. ICASSP 2016: 4588-4592 - 2015
- [j4]Yunlong Wang, Petar M. Djuric:
Social learning with heterogeneous agents and sequential decision making. Digit. Signal Process. 47: 17-24 (2015) - [j3]Yunlong Wang, Petar M. Djuric:
Social Learning With Bayesian Agents and Random Decision Making. IEEE Trans. Signal Process. 63(12): 3241-3250 (2015) - [c8]Yunlong Wang, Lingqing Gan, Petar M. Djuric:
Bayesian social learning with decision making in multiple rounds. CAMSAP 2015: 257-260 - [c7]Yunlong Wang, Petar M. Djuric:
Bayesian social learning in linear networks of agents with random behavior. ICASSP 2015: 3382-3386 - 2014
- [c6]Yunlong Wang, Petar M. Djuric:
On sequential estimation of linear models from data with correlated noise. EUSIPCO 2014: 2365-2369 - [c5]Yunlong Wang, Petar M. Djuric:
Sequential Bayesian learning in linear networks with random decision making. ICASSP 2014: 6404-6408 - 2013
- [j2]Yunlong Wang, Petar M. Djuric:
A Gossip Method for Optimal Consensus on a Binary State From Binary Actions. IEEE J. Sel. Top. Signal Process. 7(2): 274-283 (2013) - [c4]Yunlong Wang, Petar M. Djuric:
Sequential estimation of linear models in distributed settings. EUSIPCO 2013: 1-5 - [c3]Yunlong Wang, Petar M. Djuric:
Reaching Bayesian consensus in cognitive systems by decision exchanges. EUSIPCO 2013: 1-5 - [c2]Yunlong Wang, Petar M. Djuric:
Reaching Bayesian belief Over networks in the presence of communication noise. GlobalSIP 2013: 591-594 - 2012
- [j1]Petar M. Djuric, Yunlong Wang:
Disturbed Bayesian Learning in Multiagent Systems: Improving our understanding of its capabilities and limitations. IEEE Signal Process. Mag. 29(2): 65-76 (2012) - [c1]Yunlong Wang, Petar M. Djuric:
Reaching consensus on a binary state by exchanging binary actions. ICASSP 2012: 3297-3300
Coauthor Index
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