Hao Zhu

Orcid: 0000-0002-1554-5332

Affiliations:
  • University of Texas at Austin, Department of Electrical and Computer Engineering, TX, USA
  • University of Illinois at Urbana-Champaign, Information Trust Institute, Urbana, IL, USA (2014 - 2017)
  • University of Minnesota, Twin Cities, MN, USA (PhD 2012)


According to our database1, Hao Zhu authored at least 63 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
A Unified Approach for Learning the Dynamics of Power System Generators and Inverter-based Resources.
CoRR, 2024

2023
On the Sample Complexity of Decentralized Linear Quadratic Regulator With Partially Nested Information Structure.
IEEE Trans. Autom. Control., August, 2023

Risk-Constrained Reinforcement Learning for Inverter-Dominated Power System Controls.
IEEE Control. Syst. Lett., 2023

Data-driven Forced Oscillation Localization using Inferred Impulse Responses.
CoRR, 2023

Optimal Power System Topology Control Under Uncertain Wildfire Risk.
CoRR, 2023

Dynamic Response Recovery Using Ambient Synchrophasor Data: A Synthetic Texas Interconnection Case Study.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

Reinforcement Learning-based Output Structured Feedback for Distributed Multi-Area Power System Frequency Control.
Proceedings of the American Control Conference, 2023

2022
Reinforcement Learning-Based Optimal Battery Control Under Cycle-Based Degradation Cost.
IEEE Trans. Smart Grid, 2022

Wind Power Scenario Generation Using Graph Convolutional Generative Adversarial Network.
CoRR, 2022

Topology-aware Graph Neural Networks for Learning Feasible and Adaptive ac-OPF Solutions.
CoRR, 2022

Efficient Representation for Electric Vehicle Charging Station Operations using Reinforcement Learning.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

Model-free Learning for Risk-constrained Linear Quadratic Regulator with Structured Feedback in Networked Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Enhancing the Spatio-Temporal Observability of Grid-Edge Resources in Distribution Grids.
IEEE Trans. Smart Grid, 2021

Appliance Level Short-term Load Forecasting via Recurrent Neural Network.
CoRR, 2021

Scalable Learning for Optimal Load Shedding Under Power Grid Emergency Operations.
CoRR, 2021

Risk-Aware Learning for Scalable Voltage Optimization in Distribution Grids.
CoRR, 2021

Data-driven Modeling for Distribution Grids Under Partial Observability.
CoRR, 2021

Graph Neural Networks for Learning Real-Time Prices in Electricity Market.
CoRR, 2021

Inferring power system dynamics from synchrophasor data using Gaussian processes.
CoRR, 2021

A Dynamic Response Recovery Framework Using Ambient Synchrophasor Data.
CoRR, 2021

Inferring Power System Frequency Oscillations using Gaussian Processes.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Substation-Level Grid Topology Optimization Using Bus Splitting.
Proceedings of the 2021 American Control Conference, 2021

2020
Dynamic Distribution State Estimation Using Synchrophasor Data.
IEEE Trans. Smart Grid, 2020

Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies.
SIAM J. Control. Optim., 2020

Enhancing the Spatio-Temporal Observability of Residential Loads.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

2019
Projected Stochastic Primal-Dual Method for Constrained Online Learning With Kernels.
IEEE Trans. Signal Process., 2019

Intrusion Detection in Distributed Frequency Control of Isolated Microgrids.
IEEE Trans. Smart Grid, 2019

Hybrid Voltage Control in Distribution Networks Under Limited Communication Rates.
IEEE Trans. Smart Grid, 2019

Robust Power System State Estimation From Rank-One Measurements.
IEEE Trans. Control. Netw. Syst., 2019

Secure Integration of Electric Vehicles with the Power Grid.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Online Demand Response of Voltage-Dependent Loads for Corrective Grid De-Congestion.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Policy Search in Infinite-Horizon Discounted Reinforcement Learning: Advances through Connections to Non-Convex Optimization : Invited Presentation.
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

Convergence and Iteration Complexity of Policy Gradient Method for Infinite-horizon Reinforcement Learning.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Distributed Voltage Control in Distribution Networks: Online and Robust Implementations.
IEEE Trans. Smart Grid, 2018

Dynamic Power Distribution System Management With a Locally Connected Communication Network.
IEEE J. Sel. Top. Signal Process., 2018

Distributed Equilibrium-Learning for Power Network Voltage Control With a Locally Connected Communication Network.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Decentralized Dynamic Optimization for Power Network Voltage Control.
IEEE Trans. Signal Inf. Process. over Networks, 2017

PSSE Redux: Convex Relaxation, Decentralized, Robust, and Dynamic Approaches.
CoRR, 2017

2016
Dynamic decentralized voltage control for power distribution networks.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

2015
Decentralized learning for wireless communications and networking.
CoRR, 2015

2014
Multiuser Scheduling in the 3GPP LTE Cellular Uplink.
IEEE Trans. Mob. Comput., 2014

Power System Nonlinear State Estimation Using Distributed Semidefinite Programming.
IEEE J. Sel. Top. Signal Process., 2014

A methodology to analyze conservation voltage reduction performance using field test data.
Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014

2013
Multi-User MIMO Scheduling in the Fourth Generation Cellular Uplink.
IEEE Trans. Wirel. Commun., 2013

Distributed Optimal Power Flow for Smart Microgrids.
IEEE Trans. Smart Grid, 2013

Monitoring and Optimization for Power Grids: A Signal Processing Perspective.
IEEE Signal Process. Mag., 2013

2012
Precoder Design for Physical Layer Multicasting.
IEEE Trans. Signal Process., 2012

Robust Power System State Estimation for the Nonlinear AC Flow Model
CoRR, 2012

Multi-user scheduling in the 3GPP LTE cellular uplink.
Proceedings of the 10th International Symposium on Modeling and Optimization in Mobile, 2012

Multi-area state estimation using distributed SDP for nonlinear power systems.
Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012

Precoder design for weighted sum delay minimization in MIMO physical layer multicasting.
Proceedings of the 2012 IEEE Global Communications Conference, 2012

2011
Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling.
IEEE Trans. Signal Process., 2011

Exploiting Sparse User Activity in Multiuser Detection.
IEEE Trans. Commun., 2011

Lassoing line outages in the smart power grid.
Proceedings of the IEEE Second International Conference on Smart Grid Communications, 2011

Weighted and structured sparse total least-squares for perturbed compressive sampling.
Proceedings of the IEEE International Conference on Acoustics, 2011

USPACOR: Universal sparsity-controlling outlier rejection.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Distributed consensus-based demodulation: algorithms and error analysis.
IEEE Trans. Wirel. Commun., 2010

Sparsity-cognizant overlapping co-clustering for behavior inference in social networks.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Power-efficient dimensionality reduction for distributed channel-aware kalman tracking using WSNs.
IEEE Trans. Signal Process., 2009

Distributed in-network channel decoding.
IEEE Trans. Signal Process., 2009

Sparsity-embracing multiuser detection for CDMA systems with low activity factory.
Proceedings of the IEEE International Symposium on Information Theory, 2009

2008
In-network channel decoding using consensus on log-likelihood ratio averagesy.
Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

Distributed demodulation using consensus averaging in wireless sensor networks.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008


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