Yue Zhao

Orcid: 0000-0002-6702-8177

Affiliations:
  • Stony Brook University, Department of Electrical and Computer Engineering, Stony Brook, NY, USA
  • Princeton University, Department of Electrical Engineering, Princeton, NJ, USA
  • Stanford University, Department of Electrical Engineering, Stanford, CA, USA
  • University of California, Department ofElectrical Engineering, Los Angeles, CA, USA (PhD 2011)


According to our database1, Yue Zhao authored at least 51 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Learning-based Real-time Outage Location Identification in Power Distribution Systems with Sparse Sensors.
Proceedings of the IEEE International Conference on Communications, 2023

An Unsupervised Similarity-based Method for Estimating Behind-the-Meter Solar Generation.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

Integrating Learning and Physics based Computation for Fast Online Transient Analysis.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

Offline Reinforcement Learning for Price-Based Demand Response Program Design.
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

Net Load Forecast based on Behind-the-Meter Disaggregation of Smart Meter Data.
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

2022
Fast Graphical Learning Method for Parameter Estimation in Large-Scale Distribution Networks.
Proceedings of the IEEE International Conference on Communications, 2022

Behind-the-Meter Disaggregation of Residential Electric Vehicle Charging Load.
Proceedings of the IEEE International Conference on Communications, 2022

Physics-Aware Fast Learning and Inference for Predicting Active Set of DC-OPF.
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

2021
DeepPursuit: Uniting Classical Wisdom and Deep RL for Sparse Recovery.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
A Learning-to-Infer Method for Real-Time Power Grid Multi-Line Outage Identification.
IEEE Trans. Smart Grid, 2020

An Incentive Compatible Market Mechanism for Integrating Demand Response into Power Systems.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Machine-Learning-Based Online Transient Analysis via Iterative Computation of Generator Dynamics.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019
Control of Communications-Dependent Cascading Failures in Power Grids.
IEEE Trans. Smart Grid, 2019

Geographically Coordinated Primary Frequency Control.
IEEE Trans. Control. Netw. Syst., 2019

On the Equilibria and Efficiency of Electricity Markets with Renewable Power Producers and Congestion Constraints.
CoRR, 2019

Learning to Infer Voltage Stability Margin Using Transfer Learning.
Proceedings of the IEEE Data Science Workshop, 2019

Learning to Recover Sparse Signals.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Indirect Mechanism Design for Efficient and Stable Renewable Energy Aggregation.
CoRR, 2018

A Simple Market Mechanism for Renewable Power Producers Achieves Asymptotic Social Efficiency.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Learning to Infer Power Grid Topologies: Performance and Scalability.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

Solar energy sharing in net metered community microgrids: Can the social goals be achieved?
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018

2017
Minimum Sparsity of Unobservable Power Network Attacks.
IEEE Trans. Autom. Control., 2017

Distributed Algorithm Design for Probabilistic Demand Response.
SIGMETRICS Perform. Evaluation Rev., 2017

A Learning-to-Infer Method for Real-Time Power Grid Topology Identification.
CoRR, 2017

Incentivizing Reliable Demand Response with Customers' Uncertainties and Capacity Planning.
Proceedings of the 2017 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, Urbana-Champaign, IL, USA, June 05, 2017

Generic cospark of a matrix can be computed in polynomial time.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Ex-post stable and fair payoff allocation for renewable energy aggregation.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2017

A simple payoff allocation mechanism achieves efficiency and stability in renewable energy aggregation.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Harnessing Flexible and Reliable Demand Response Under Customer Uncertainties.
Proceedings of the Eighth International Conference on Future Energy Systems, 2017

Geographically coordinated frequency control.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Predicting voltage stability margin via learning stability region boundary.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016
Optimizing the Level of Commitment in Demand Response.
SIGMETRICS Perform. Evaluation Rev., 2016

New formulation and optimization methods for water sensor placement.
Environ. Model. Softw., 2016

Learning to infer: A new variational inference approach for power grid topology identification.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Efficient neural network architecture for topology identification in smart grid.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

A polynomial-time method to find the sparsest unobservable attacks in power networks.
Proceedings of the 2016 American Control Conference, 2016

2015
Outage Detection in Power Distribution Networks.
CoRR, 2015

Value of storage for wind power producers in forward power markets.
Proceedings of the American Control Conference, 2015

2014
Identification of Outages in Power Systems With Uncertain States and Optimal Sensor Locations.
IEEE J. Sel. Top. Signal Process., 2014

Dynamic joint outage identification and state estimation in power systems.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Line outage detection in power transmission networks via message passing algorithms.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Optimal Spectrum Management in Multiuser Interference Channels.
IEEE Trans. Inf. Theory, 2013

Fundamental limits of cyber-physical security in smart power grids.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Optimal joint detection and estimation in linear models.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Risky power forward contracts for wind aggregation.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012
On the Maximum Achievable Sum-Rate With Successive Decoding in Interference Channels.
IEEE Trans. Inf. Theory, 2012

On PMU Location Selection for Line Outage Detection in Wide-area Transmission Networks
CoRR, 2012

Convex optimization for precoder design in MIMO interference networks.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
On the sum-capacity with successive decoding in interference channels.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Interference Strength Alignment and Uplink Channel Allocation in Linear Cellular Networks.
Proceedings of IEEE International Conference on Communications, 2011

2010
Optimization of power and channel allocation using the deterministic channel model.
Proceedings of the Information Theory and Applications Workshop, 2010


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