Yunlong Wang - RankMe

33 papers A* 2Misc 7Journal 16Unranked 8

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	FD-GATDR: A Federated-Decentralized-Learning Graph Attention Network for Doctor Recommendation Using EHR. CoRR Luning Bi, Yunlong Wang, Fan Zhang, Zhuqing Liu, Yong Cai, Emily Zhao
2021	J	`jnl`	Exploiting Causality for Improved Prediction of Patient Volumes by Gaussian Processes. IEEE J. Biomed. Health Informatics Guanchao Feng, Kezi Yu, Yunlong Wang, Yilian Yuan, Petar M. Djuric
2021	—	`conf`	OA-MedSQL: Order-Aware Medical Sequence Learning for Clinical Outcome Prediction. BIBM Tong Wu, Yue Wang, Yunlong Wang, Emily Zhao, Gao Wang
2021	—	`conf`	SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection. MLSys Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Changlin Wan, Wen Wang, Jianing Yang, Haoping Bai, Zheng Li, Cao Xiao, Yunlong Wang, Zhi Qiao, Jimeng Sun, Leman Akoglu
2021	A*	`conf`	eTREE: Learning Tree-structured Embeddings. AAAI Faisal M. Almutairi, Yunlong Wang, Dong Wang, Emily Zhao, Nicholas D. Sidiropoulos
2020	Misc	`conf`	Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-BasedPatient Similarity Learning. PSB Yue Wang, Tong Wu, Yunlong Wang, Gao Wang
2020	Misc	`conf`	Improving Convergent Cross Mapping for Causal Discovery with Gaussian Processes. ICASSP Guanchao Feng, Kezi Yu, Yunlong Wang, Yilian Yuan, Petar M. Djuric
2020	J	`jnl`	SUOD: A Scalable Unsupervised Outlier Detection Framework. CoRR Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Cao Xiao, Yunlong Wang, Jimeng Sun, Leman Akoglu
2020	J	`jnl`	eTREE: Learning Tree-structured Embeddings. CoRR Faisal M. Almutairi, Yunlong Wang, Dong Wang, Emily Zhao, Nicholas D. Sidiropoulos
2019	J	`jnl`	Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning. CoRR Yue Wang, Tong Wu, Yunlong Wang, Gao Wang
2019	—	`conf`	Modelling Patient Sequences for Rare Disease Detection with Semi-supervised Generative Adversarial Nets. AALTD@PKDD/ECML Kezi Yu, Yunlong Wang, Yong Cai
2019	J	`jnl`	Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model. CoRR Fan Zhang, Tong Wu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun
2019	J	`jnl`	Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks. CoRR Kezi Yu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun
2019	J	`jnl`	Representation Learning of EHR Data via Graph-Based Medical Entity Embedding. CoRR Tong Wu, Yunlong Wang, Yue Wang, Emily Zhao, Yilian Yuan, Zhi Yang
2018	J	`jnl`	Modeling Treatment Delays for Patients using Feature Label Pairs in a Time Series. CoRR Weiyu Huang, Yunlong Wang, Li Zhou, Emily Zhao, Yilian Yuan, Alejandro Ribeiro
2018	J	`jnl`	Semi-supervised Rare Disease Detection Using Generative Adversarial Network. CoRR Wenyuan Li, Yunlong Wang, Yong Cai, Corey W. Arnold, Emily Zhao, Yilian Yuan
2017	Misc	`conf`	Bayesian learning in a network with multi-hypothesis decision exchanges. ICASSP Lingqing Gan, Yunlong Wang, Petar M. Djuric
2017	A*	`conf`	Message Passing on Factor Graph: A Novel Approach for Orphan Drug Physician Targeting. ICDM Yunlong Wang, Yong Cai
2017	J	`jnl`	Rare Disease Physician Targeting: A Factor Graph Approach. CoRR Yong Cai, Yunlong Wang, Dong Dai
2016	J	`jnl`	Distributed Bayesian Estimation of Linear Models With Unknown Observation Covariances. IEEE Trans. Signal Process. Yunlong Wang, Petar M. Djuric
2016	Misc	`conf`	Opinion dynamics in multi-agent systems with binary decision exchanges. ICASSP Yunlong Wang, Lingqing Gan, Petar M. Djuric
2015	Misc	`conf`	Bayesian social learning in linear networks of agents with random behavior. ICASSP Yunlong Wang, Petar M. Djuric
2015	—	`conf`	Bayesian social learning with decision making in multiple rounds. CAMSAP Yunlong Wang, Lingqing Gan, Petar M. Djuric
2015	J	`jnl`	Social Learning With Bayesian Agents and Random Decision Making. IEEE Trans. Signal Process. Yunlong Wang, Petar M. Djuric
2015	J	`jnl`	Social learning with heterogeneous agents and sequential decision making. Digit. Signal Process. Yunlong Wang, Petar M. Djuric
2014	—	`conf`	On sequential estimation of linear models from data with correlated noise. EUSIPCO Yunlong Wang, Petar M. Djuric
2014	Misc	`conf`	Sequential Bayesian learning in linear networks with random decision making. ICASSP Yunlong Wang, Petar M. Djuric
2013	J	`jnl`	A Gossip Method for Optimal Consensus on a Binary State From Binary Actions. IEEE J. Sel. Top. Signal Process. Yunlong Wang, Petar M. Djuric
2013	—	`conf`	Reaching Bayesian belief Over networks in the presence of communication noise. GlobalSIP Yunlong Wang, Petar M. Djuric
2013	—	`conf`	Reaching Bayesian consensus in cognitive systems by decision exchanges. EUSIPCO Yunlong Wang, Petar M. Djuric
2013	—	`conf`	Sequential estimation of linear models in distributed settings. EUSIPCO Yunlong Wang, Petar M. Djuric
2012	J	`jnl`	Disturbed Bayesian Learning in Multiagent Systems: Improving our understanding of its capabilities and limitations. IEEE Signal Process. Mag. Petar M. Djuric, Yunlong Wang
2012	Misc	`conf`	Reaching consensus on a binary state by exchanging binary actions. ICASSP Yunlong Wang, Petar M. Djuric