Lei Ying

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

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Lei Ying

Professor at the University of Michigan, Ann Arbor

Email verificata su umich.edu - Home page

stochastic networks reinforcement learning graphs and networks


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	455	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	447	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	404	2016
Communication Networks: An Optimization, Control and Stochastic Networks Perspective R Srikant, L Ying Cambridge University Press, 2014	395	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	331	2011
Finite-Time Error Bounds For Linear Stochastic Approximation and TD Learning R Srikant, L Ying Conference on Learning Theory (COLT), 2019	291	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	281	2013
Empty-car routing in ridesharing systems A Braverman, JG Dai, X Liu, L Ying Operations Research 67 (5), 1437-1452, 2019	275	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	231	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
Heavy traffic optimal resource allocation algorithms for cloud computing clusters ST Maguluri, R Srikant, L Ying Performance Evaluation 81, 20-39, 2014	111	2014
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
A robust information source estimator with sparse observations K Zhu, L Ying Computational Social Networks 1, 1-21, 2014	109	2014
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	101	2019
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
On throughput optimality with delayed network-state information L Ying, S Shakkottai IEEE Transactions on Information Theory 57 (8), 5116-5132, 2011	94	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	92	2016
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	91	2011

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