Hao Zhu
Orcid: 0000-0002-1554-5332Affiliations:
- 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 65 papers
between 2008 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Communication-aware Wide-Area Damping Control using Risk-Constrained Reinforcement Learning.
CoRR, September, 2025
Wind Power Scenario Generation based on the Generalized Dynamic Factor Model and Generative Adversarial Network.
CoRR, August, 2025
A Unified Approach for Learning the Dynamics of Power System Generators and Inverter-based Resources.
Proceedings of the 58th Hawaii International Conference on System Sciences, 2025
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
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
CoRR, 2021
CoRR, 2021
CoRR, 2021
CoRR, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 American Control Conference, 2021
2020
IEEE Trans. Smart Grid, 2020
SIAM J. Control. Optim., 2020
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020
2019
IEEE Trans. Smart Grid, 2019
IEEE Trans. Smart Grid, 2019
IEEE Trans. Control. Netw. Syst., 2019
Proceedings of the 2019 IEEE International Conference on Communications, 2019
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
Projected Stochastic Primal-Dual Method for Constrained Online Learning with Kernels.
Proceedings of the 57th IEEE Conference on Decision and Control, 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
IEEE Trans. Signal Inf. Process. over Networks, 2017
CoRR, 2017
2016
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
2015
2014
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
IEEE Signal Process. Mag., 2013
Proceedings of the 2013 Asilomar Conference on Signals, 2013
2012
Proceedings of the 10th International Symposium on Modeling and Optimization in Mobile, 2012
Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012
Proceedings of IEEE International Conference on Communications, 2012
Precoder design for weighted sum delay minimization in MIMO physical layer multicasting.
Proceedings of the 2012 IEEE Global Communications Conference, 2012
2011
IEEE Trans. Signal Process., 2011
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
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
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
Proceedings of the IEEE International Symposium on Information Theory, 2009
2008
Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008