Lei Ying

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R. SrikantUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Weina WangCarnegie Mellon UniversityVerified email at cs.cmu.edu
Kai ZhuResearch Assistant in Arizona State UniversityVerified email at asu.edu
Hanghang TongUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Shihuan LiuSoftware Engineer at Google IncVerified email at google.com
Xin LiuShanghaiTech UniversityVerified email at shanghaitech.edu.cn
Honghao WeiAssistant Professor of EECS, Washington State UniversityVerified email at wsu.edu
Srinivas ShakkottaiProfessor, Dept. of ECE, Texas A&M UniversityVerified email at tamu.edu
Siva Theja MaguluriGeorgia Institute of TechnologyVerified email at gatech.edu
Junshan ZhangElectrical and Computer Engineering, UC Davis (Google Scholar not updated since 2020)Verified email at ucdavis.edu
Zhen ChenArizona State UniversityVerified email at asu.edu
Xiaohan KangPostdoc at University of Illinois at Urbana–ChampaignVerified email at illinois.edu
Juan Jose JaramilloData Engineer, Cisco Tetration AnalyticsVerified email at cisco.com
Weichang WangArizona State UniversityVerified email at asu.edu
Yingbin LiangThe Ohio State UniversityVerified email at osu.edu
Shan ZhouArizona State UniversityVerified email at asu.edu
Akula Aneesh ReddyPhyTunes IncVerified email at utexas.edu
Bin LiAssociate Professor, School of Electrical Engineering and Computer Science, Penn State UniversityVerified email at psu.edu
HV PoorMichael Henry Strater University Professor, Princeton UniversityVerified email at princeton.edu
Atilla EryilmazOhio State UniversityVerified email at osu.edu

Lei Ying

Professor at the University of Michigan, Ann Arbor

Verified email at umich.edu - Homepage

stochastic networks reinforcement learning graphs and networks


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Load scheduling and dispatch for aggregators of plug-in electric vehicles D Wu, DC Aliprantis, L Ying IEEE Transactions on Smart Grid 3 (1), 368-376, 2012	453	2012
Stochastic Models of Load Balancing and Scheduling in Cloud Computing Clusters ST Maguluri, R Srikant, L Ying INFOCOM, 2012 Proceedings IEEE, 702 - 710, 2012	446	2012
Information source detection in the SIR model: a sample-path-based approach K Zhu, L Ying IEEE/ACM Transactions on Networking 24 (1), 408-421, 2016	398	2016
Communication Networks: An Optimization, Control and Stochastic Networks Perspective R Srikant, L Ying Cambridge University Press, 2014	394	2014
On combining shortest-path and back-pressure routing over multihop wireless networks L Ying, S Shakkottai, A Reddy, S Liu IEEE/ACM Transactions on Networking (TON) 19 (3), 841-854, 2011	330	2011
Finite-Time Error Bounds For Linear Stochastic Approximation and TD Learning R Srikant, L Ying Conference on Learning Theory (COLT), 2019	283	2019
Map Task Scheduling in MapReduce with Data Locality: Throughput and Heavy-Traffic Optimality W Wang, K Zhu, L Ying, J Tan, L Zhang INFOCOM, 2013 Proceedings IEEE, 1609 - 1617, 2013	278	2013
Empty-car routing in ridesharing systems A Braverman, JG Dai, X Liu, L Ying Operations Research 67 (5), 1437-1452, 2019	269	2019
On the relation between identifiability, differential privacy, and mutual-information privacy W Wang, L Ying, J Zhang IEEE Transactions on Information Theory 62 (9), 5018-5029, 2016	230	2016
Global stability of Internet congestion controllers with heterogeneous delays L Ying, GE Dullerud, R Srikant IEEE/ACM Transactions on Networking 14 (3), 579 - 590, 2006	163	2006
Optimal delay–throughput tradeoffs in mobile ad hoc networks L Ying, S Yang, R Srikant IEEE Transactions on Information Theory 54 (9), 4119-4143, 2008	159	2008
The power of slightly more than one sample in randomized load balancing L Ying, R Srikant, X Kang Mathematics of Operations Research 42 (3), 692-722, 2017	136	2017
Secrecy Throughput of MANETs Under Passive and Active Attacks Y Liang, HV Poor, L Ying Information Theory, IEEE Transactions on 57 (10), 6692-6702, 2011	111*	2011
Heavy traffic optimal resource allocation algorithms for cloud computing clusters ST Maguluri, R Srikant, L Ying Performance Evaluation 81, 20-39, 2014	110	2014
A robust information source estimator with sparse observations K Zhu, L Ying Computational Social Networks 1, 1-21, 2014	109	2014
A large deviations analysis of scheduling in wireless networks L Ying, R Srikant, A Eryilmaz, GE Dullerud IEEE Transactions on Information Theory 52 (11), 5088-5098, 2006	100	2006
Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning H Gupta, R Srikant, L Ying Advances in Neural Information Processing Systems (NeurIPS), 2019	98	2019
On throughput optimality with delayed network-state information L Ying, S Shakkottai IEEE Transactions on Information Theory 57 (8), 5116-5132, 2011	91	2011
Scheduling for optimal rate allocation in ad hoc networks with heterogeneous delay constraints JJ Jaramillo, R Srikant, L Ying IEEE Journal on Selected Areas in Communications 29 (5), 979-987, 2011	90	2011
Detecting multiple information sources in networks under the SIR model Z Chen, K Zhu, L Ying IEEE Transactions on Network Science and Engineering 3 (1), 17-31, 2016	89	2016

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