Faculty

Institution

Unit

Venue

Qing Zhao

Jubilee Chair Professor Joseph C Ford Professor of Engineering

Cornell University

Affiliations

College of Engineering

School of Electrical and Computer Engineering

Qing Zhao is currently serving as a College Of Engineering Jubilee Chair Professor Joseph C Ford Professor of Engineering at Cornell University.

Honors

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Experiences

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Education

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Qing Zhao

Cornell University

Jubilee Chair Professor Joseph C Ford Professor of Engineering

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computer science mathematical optimization reinforcement learning exploration v exploitation wireless communications applied probability data science telecommunication networks applied mathematics stochastic process computational optimization signal processing communications systems wireless networks stochastic optimization online algorithms anomaly detection dynamic spectrum management game theory sequential decision making stochastic dynamics statistics computational statistics machine learning research spectrum management bayesian analysis combinatorial optimization networked system design cognitive radio wireless sensor networks distributed systems markov decision process decision science cognitive radio resource management outlier detection wireless personal communication wireless sensor systems distributed learning online learning social simulation stochastic games channel estimation network optimization dynamic spectrum access statistical methodology sensor connectivity channel equalization dynamic pricing control optimization robot learning channel access method rare event estimation information diffusion tree structure quickest detection medium access control opportunistic networks energy-efficient networking statistical signal processing information propagation secondary user multi-armed bandit unknown dynamics lower bounds novelty detection demand management opportunistic spectrum access spectrum sensing error probability secondary user searches unknown reward statistics multiple players cognitive mac residual energy decentralized policy myopic sensing mechanism design systems engineering artificial society algorithmic game theory market design data-driven decision-making strategy bidding strategy computational economics internet economics intelligent systems evolutionary intelligence machine learning multi-agent mechanism design

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach. IEEE Access (2025)

Dan Ben AmiKobi CohenQing Zhao

computational optimizationmachine learningmathematical optimizationclient selectionexploration v exploitationreinforcement learningfederated learningmachine learning researchdata scienceaccelerated federated learningmulti-armed bandit approachcomputer science

A Communication-Efficient Adaptive Algorithm for Federated Learning Under Cumulative Regret. IEEE Transactions on Signal Processing (2024)

Sudeep SalgiaTamir GabayQing ZhaoKobi Cohen

online algorithmsscalabilitycomputational optimizationdistributed systemstheory of computationmathematical optimizationstochastic optimizationcumulative regretfederated learningmachine learning researchdistributed learningdata sciencecommunication costcomputer science

Adaptive Binning Coincidence Test for Uniformity Testing. IEEE Transactions on Signal Processing (2024)

Sudeep SalgiaXinyi WangQing ZhaoLang Tong

adaptive binning coincidenceapplied probabilityapplied statisticsmathematical statisticsproperty testingadaptive discretizationstatistical inferencestatisticsstatistical methodologyuniformity testingstatistical hypothesis testcomputational statisticscomputer scienceprobability theory

Anomaly Search of a Hidden Markov Model. 2022 IEEE International Symposium on Information Theory (ISIT) (2024)

Levli CitronKobi CohenQing Zhao

hidden markov modelapplied probabilityanomaly searchstochastic processknowledge discoveryanomaly detectioncomputer science

Co-Optimizing Distributed Energy Resources in Linear Complexity Under Net Energy Metering. IEEE Transactions on Sustainable Energy (2024)

Ahmed S. AlahmedLang TongQing Zhao

energy optimizationcomputational optimizationbattery energy storagemathematical optimizationpower system optimizationdistributed energy systemsenergy systemsnet energy meteringnet energyenergy managementenergy operationsmart grid

Generative Probabilistic Time Series Forecasting and Applications in Grid Operations. (2024)

Xinyi WangLang TongQing Zhao

technological forecastingmachine learning researchdata scienceelectricity price forecastinggenerative probabilistic forecastingforecasting methodologymachine learningforecastinguncertainty quantificationpredictive analyticsgrid operationsprobabilistic forecastingenergy forecastingtime seriesintelligent forecastingbayesian analysiscomputational intelligencecomputer sciencesmart grid

Client Selection for Generalization in Accelerated Federated Learning: A Bandit Approach. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)

Dan Ben AmiKobi CohenQing Zhao

online algorithmsscalabilitycomputational optimizationmachine learningmathematical optimizationclient selectionexploration v exploitationreinforcement learningfederated learningmachine learning researchdistributed learningdata sciencecomputational intelligenceaccelerated federated learningcomputer science

Collaborative Learning in Kernel-Based Bandits for Distributed Users. IEEE Transactions on Signal Processing (2023)

Sudeep SalgiaSattar VakiliQing Zhao

online algorithmskernel-based banditscomputational optimizationmachine learningmathematical optimizationexploration v exploitationreinforcement learningmachine learning researchdistributed learningdata sciencecomputer sciencesurrogate gaussian processcollaborative learning

Co-Optimizing Consumption and Ev Charging Under Net Energy Metering. 2021 IEEE Power & Energy Society General Meeting (PESGM) (2023)

Minjae JeonLang TongQing Zhao

energy optimizationsystems engineeringenergy demand managementelectric vehiclesenergy strategiesnet energy meteringdemand responsenet energyenergy managementelectric vehicle chargingsmart grid

Online Learning for Route Planning With On-Time Arrival Reliability. Operations Research Letters (2023)

Hongyi JiangSamitha SamaranayakeQing Zhao

systems engineeringonline learningnavigationoperations researchrobot learningcombinatorial optimizationroute planningcomputer scienceautonomous robots

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Qing Zhao

Jubilee Chair Professor Joseph C Ford Professor of Engineering

Cornell University

Affiliations

College of Engineering

School of Electrical and Computer Engineering

Qing Zhao is currently serving as a College Of Engineering Jubilee Chair Professor Joseph C Ford Professor of Engineering at Cornell University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Qing Zhao

Cornell University

Jubilee Chair Professor Joseph C Ford Professor of Engineering

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach. IEEE Access (2025)

Dan Ben AmiKobi CohenQing Zhao

A Communication-Efficient Adaptive Algorithm for Federated Learning Under Cumulative Regret. IEEE Transactions on Signal Processing (2024)

Sudeep SalgiaTamir GabayQing ZhaoKobi Cohen

Adaptive Binning Coincidence Test for Uniformity Testing. IEEE Transactions on Signal Processing (2024)

Sudeep SalgiaXinyi WangQing ZhaoLang Tong

Anomaly Search of a Hidden Markov Model. 2022 IEEE International Symposium on Information Theory (ISIT) (2024)

Levli CitronKobi CohenQing Zhao

hidden markov modelapplied probabilityanomaly searchstochastic processknowledge discoveryanomaly detectioncomputer science

Co-Optimizing Distributed Energy Resources in Linear Complexity Under Net Energy Metering. IEEE Transactions on Sustainable Energy (2024)

Ahmed S. AlahmedLang TongQing Zhao

Generative Probabilistic Time Series Forecasting and Applications in Grid Operations. (2024)

Xinyi WangLang TongQing Zhao

Client Selection for Generalization in Accelerated Federated Learning: A Bandit Approach. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)

Dan Ben AmiKobi CohenQing Zhao

Collaborative Learning in Kernel-Based Bandits for Distributed Users. IEEE Transactions on Signal Processing (2023)

Sudeep SalgiaSattar VakiliQing Zhao

Co-Optimizing Consumption and Ev Charging Under Net Energy Metering. 2021 IEEE Power & Energy Society General Meeting (PESGM) (2023)

Minjae JeonLang TongQing Zhao

energy optimizationsystems engineeringenergy demand managementelectric vehiclesenergy strategiesnet energy meteringdemand responsenet energyenergy managementelectric vehicle chargingsmart grid

Online Learning for Route Planning With On-Time Arrival Reliability. Operations Research Letters (2023)

Hongyi JiangSamitha SamaranayakeQing Zhao

systems engineeringonline learningnavigationoperations researchrobot learningcombinatorial optimizationroute planningcomputer scienceautonomous robots

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Similar Faculty Members

Bruce Hajek

Institution

University of Illinois Urbana-Champaign

game theory

mathematical biology

Anna Scaglione

Institution

Cornell University

network science

industrial informatics

Maxim Raginsky

Institution

University of Illinois Urbana-Champaign

applied mathematics

information theory

Lav R Varshney

Institution

University of Illinois Urbana-Champaign

information theory

intelligent computing

Vikram Krishnamurthy

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stochastic process

bio-inspired computation

Peter Frazier

Institution

Cornell University

technological forecasting

natural computing

Venugopal Varadachari Veeravalli

Institution

University of Illinois Urbana-Champaign

wireless sensor network

applied mathematics

Pramod Viswanath

Institution

University of Illinois Urbana-Champaign

communication security

cryptographic technology

Rayadurgam Srikant

Institution

University of Illinois Urbana-Champaign

game theory

cloud computing

Andrew Singer

Institution

University of Illinois Urbana-Champaign

technology

underwater acoustic communication