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ORCIDHao Zhu 0001
Person information
- affiliation: University of Texas at Austin, Department of Electrical and Computer Engineering, TX, USA
- affiliation (2014 - 2017): University of Illinois at Urbana-Champaign, Information Trust Institute, Urbana, IL, USA
- affiliation (PhD 2012): University of Minnesota, Twin Cities, MN, USA
Other persons with the same name
- Hao Zhu — disambiguation page
- Hao Zhu 0002
![[0000-0001-8412-3507]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-8412-3507")
— Beijing Institute of Technology, School of Automation, State Key Laboratory of Intelligent Control and Decision of Complex Systems, China - Hao Zhu 0003 — Chongqing University of Posts and Telecommunications, Department of Automation, Automotive Electronics and Embedded System Engineering Research Center, China
- Hao Zhu 0004 — Nanjing University, Department of Electrical Science and Technology, China
- Hao Zhu 0005 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China
- Hao Zhu 0006 — Tsinghua University, State Key Lab on Intelligent Technology, Beijing, China
- Hao Zhu 0007 — Florida International University, Department of Electrical and Computer Engineering, Miami, FL, USA (and 1 more)
- Hao Zhu 0008 (aka: Bernie Hao Zhu) — University of Washington, WA, USA (and 2 more)
- Hao Zhu 0009 — Xidian University, School of Artificial Intelligence, International Research Center for Intelligent Perception and Computation, Xi'an, China
- Hao Zhu 0010 — Australian National University, College of Engineering and Computer Science, Canberra, Australia (and 1 more)
- Hao Zhu 0011 — Carnegie Mellon University, Language Technologies Institute, Pittsburgh, PA, USA
- Hao Zhu 0012 — Rutgers University, Rutgers Center for Computational and Integrative Biology, Department of Chemistry, Camden, NJ, USA (and 1 more)
- Hao Zhu 0013 — University of Illinois Urbana-Champaign, Department of Computer Science, Urbana, IL, USA
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2020 – today
- 2024
[i31]Shaohui Liu, Weiqian Cai, Hao Zhu, Brian Johnson:
A Unified Approach for Learning the Dynamics of Power System Generators and Inverter-based Resources. CoRR abs/2409.14454 (2024)- 2023
- [j24]Kyung-bin Kwon, Sayak Mukherjee, Thanh Long Vu, Hao Zhu:
Risk-Constrained Reinforcement Learning for Inverter-Dominated Power System Controls. IEEE Control. Syst. Lett. 7: 3854-3859 (2023) - [j23]Lintao Ye, Hao Zhu, Vijay Gupta:
On the Sample Complexity of Decentralized Linear Quadratic Regulator With Partially Nested Information Structure. IEEE Trans. Autom. Control. 68(8): 4841-4856 (2023) - [c27]Kyung-bin Kwon, Sayak Mukherjee, Hao Zhu, Thanh Long Vu:
Reinforcement Learning-based Output Structured Feedback for Distributed Multi-Area Power System Frequency Control. ACC 2023: 4483-4488 - [c26]Shaohui Liu, Hao Zhu, Vassilis Kekatos:
Dynamic Response Recovery Using Ambient Synchrophasor Data: A Synthetic Texas Interconnection Case Study. HICSS 2023: 2651-2660 - [i30]Yuqi Zhou, Kaarthik Sundar, Deepjyoti Deka, Hao Zhu:
Optimal Power System Topology Control Under Uncertain Wildfire Risk. CoRR abs/2303.07558 (2023) - [i29]Shaohui Liu, Hao Zhu, Vassilis Kekatos:
Data-driven Forced Oscillation Localization using Inferred Impulse Responses. CoRR abs/2310.01656 (2023) - 2022
- [j22]Kyung-bin Kwon, Hao Zhu:
Reinforcement Learning-Based Optimal Battery Control Under Cycle-Based Degradation Cost. IEEE Trans. Smart Grid 13(6): 4909-4917 (2022) - [c25]Kyung-bin Kwon, Lintao Ye, Vijay Gupta, Hao Zhu:
Model-free Learning for Risk-constrained Linear Quadratic Regulator with Structured Feedback in Networked Systems. CDC 2022: 7260-7265 - [c24]Kyung-bin Kwon, Hao Zhu:
Efficient Representation for Electric Vehicle Charging Station Operations using Reinforcement Learning. HICSS 2022: 1-9 - [i28]Shaohui Liu, Chengyang Wu, Hao Zhu:
Topology-aware Graph Neural Networks for Learning Feasible and Adaptive ac-OPF Solutions. CoRR abs/2205.10129 (2022) - [i27]Shaohui Liu, Hao Zhu, Vassilis Kekatos:
Dynamic Response Recovery Using Ambient Synchrophasor Data: A Synthetic Texas Interconnection Case Study. CoRR abs/2209.11105 (2022) - [i26]Young-Ho Cho, Shaohui Liu, Duehee Lee, Hao Zhu:
Wind Power Scenario Generation Using Graph Convolutional Generative Adversarial Network. CoRR abs/2212.10454 (2022) - 2021
- [j21]Shanny Lin, Hao Zhu:
Enhancing the Spatio-Temporal Observability of Grid-Edge Resources in Distribution Grids. IEEE Trans. Smart Grid 12(6): 5434-5443 (2021) - [c23]Yuqi Zhou, Ahmed S. Zamzam, Andrey Bernstein, Hao Zhu:
Substation-Level Grid Topology Optimization Using Bus Splitting. ACC 2021: 1-7 - [c22]Mana Jalali, Vassilis Kekatos, Siddharth Bhela, Hao Zhu:
Inferring Power System Frequency Oscillations using Gaussian Processes. CDC 2021: 3670-3676 - [i25]Shanny Lin, Hao Zhu:
Enhancing the Spatio-temporal Observability of Grid-Edge Resources in Distribution Grids. CoRR abs/2102.07801 (2021) - [i24]Shaohui Liu, Hao Zhu, Vassilis Kekatos:
A Dynamic Response Recovery Framework Using Ambient Synchrophasor Data. CoRR abs/2104.05614 (2021) - [i23]Mana Jalali, Vassilis Kekatos, Siddharth Bhela, Hao Zhu, Virgilio Centeno:
Inferring power system dynamics from synchrophasor data using Gaussian processes. CoRR abs/2105.12608 (2021) - [i22]Shaohui Liu, Chengyang Wu, Hao Zhu:
Graph Neural Networks for Learning Real-Time Prices in Electricity Market. CoRR abs/2106.10529 (2021) - [i21]Kyung-bin Kwon, Hao Zhu:
Efficient Representation for Electric Vehicle Charging Station Operations using Reinforcement Learning. CoRR abs/2108.03236 (2021) - [i20]Shanny Lin, Hao Zhu:
Data-driven Modeling for Distribution Grids Under Partial Observability. CoRR abs/2108.08350 (2021) - [i19]Shanny Lin, Shaohui Liu, Hao Zhu:
Risk-Aware Learning for Scalable Voltage Optimization in Distribution Grids. CoRR abs/2110.01490 (2021) - [i18]Lintao Ye, Hao Zhu, Vijay Gupta:
On the Sample Complexity of Decentralized Linear Quadratic Regulator with Partially Nested Information Structure. CoRR abs/2110.07112 (2021) - [i17]Yuqi Zhou, Jeehyun Park, Hao Zhu:
Scalable Learning for Optimal Load Shedding Under Power Grid Emergency Operations. CoRR abs/2111.11980 (2021) - [i16]Yuqi Zhou, Arun Sukumaran Nair, David Ganger, Abhinandan Tripathi, Chaitanya Baone, Hao Zhu:
Appliance Level Short-term Load Forecasting via Recurrent Neural Network. CoRR abs/2111.11998 (2021) - 2020
- [j20]Kaiqing Zhang, Alec Koppel, Hao Zhu, Tamer Basar:
Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies. SIAM J. Control. Optim. 58(6): 3586-3612 (2020) - [j19]Jianhan Song, Emiliano Dall'Anese, Andrea Simonetto, Hao Zhu:
Dynamic Distribution State Estimation Using Synchrophasor Data. IEEE Trans. Smart Grid 11(1): 821-831 (2020) - [c21]Shanny Lin, Hao Zhu:
Enhancing the Spatio-Temporal Observability of Residential Loads. HICSS 2020: 1-10
2010 – 2019
- 2019
- [j18]Gang Wang, Hao Zhu, Georgios B. Giannakis, Jian Sun:
Robust Power System State Estimation From Rank-One Measurements. IEEE Trans. Control. Netw. Syst. 6(4): 1391-1403 (2019) - [j17]Hao Jan Liu, Wei Shi, Hao Zhu:
Hybrid Voltage Control in Distribution Networks Under Limited Communication Rates. IEEE Trans. Smart Grid 10(3): 2416-2427 (2019) - [j16]Lin-Yu Lu, Hao Jan Liu, Hao Zhu, Chia-Chi Chu:
Intrusion Detection in Distributed Frequency Control of Isolated Microgrids. IEEE Trans. Smart Grid 10(6): 6502-6515 (2019) - [j15]Alec Koppel, Kaiqing Zhang, Hao Zhu, Tamer Basar:
Projected Stochastic Primal-Dual Method for Constrained Online Learning With Kernels. IEEE Trans. Signal Process. 67(10): 2528-2542 (2019) - [c20]Kaiqing Zhang, Alec Koppel, Hao Zhu, Tamer Basar:
Convergence and Iteration Complexity of Policy Gradient Method for Infinite-horizon Reinforcement Learning. CDC 2019: 7415-7422 - [c19]Kaiqing Zhang, Alec Koppel, Hao Zhu, Tamer Basar:
Policy Search in Infinite-Horizon Discounted Reinforcement Learning: Advances through Connections to Non-Convex Optimization : Invited Presentation. CISS 2019: 1-3 - [c18]Mohammadhafez Bazrafshan, Hao Zhu, Amin Khodaei, Nikolaos Gatsis:
Online Demand Response of Voltage-Dependent Loads for Corrective Grid De-Congestion. SmartGridComm 2019: 1-6 - [c17]Chaitra Niddodi, Shanny Lin, Sibin Mohan, Hao Zhu:
Secure Integration of Electric Vehicles with the Power Grid. SmartGridComm 2019: 1-7 - [i15]Chaitra Niddodi, Shanny Lin, Sibin Mohan, Hao Zhu:
Secure Integration of Electric Vehicles with the Power Grid. CoRR abs/1905.01035 (2019) - [i14]Kaiqing Zhang, Alec Koppel, Hao Zhu, Tamer Basar:
Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies. CoRR abs/1906.08383 (2019) - [i13]Shanny Lin, Hao Zhu:
Enhancing the Spatio-Temporal Observability of Residential Loads. CoRR abs/1910.00984 (2019) - 2018
- [j14]Kaiqing Zhang, Wei Shi, Hao Zhu, Emiliano Dall'Anese, Tamer Basar:
Dynamic Power Distribution System Management With a Locally Connected Communication Network. IEEE J. Sel. Top. Signal Process. 12(4): 673-687 (2018) - [j13]Hao Jan Liu, Wei Shi, Hao Zhu:
Distributed Voltage Control in Distribution Networks: Online and Robust Implementations. IEEE Trans. Smart Grid 9(6): 6106-6117 (2018) - [c16]Kaiqing Zhang, Wei Shi, Hao Zhu, Tamer Basar:
Distributed Equilibrium-Learning for Power Network Voltage Control With a Locally Connected Communication Network. ACC 2018: 3092-3097 - [c15]Kaiqing Zhang, Hao Zhu, Tamer Basar, Alec Koppel:
Projected Stochastic Primal-Dual Method for Constrained Online Learning with Kernels. CDC 2018: 4224-4231 - [i12]Kaiqing Zhang, Wei Shi, Hao Zhu, Tamer Basar:
Distributed Equilibrium-Learning for Power Network Voltage Control With a Locally Connected Communication Network. CoRR abs/1803.10792 (2018) - [i11]Kaiqing Zhang, Wei Shi, Hao Zhu, Emiliano Dall'Anese, Tamer Basar:
Dynamic Power Distribution System Management With a Locally Connected Communication Network. CoRR abs/1803.10804 (2018) - 2017
- [j12]Hao Jan Liu, Wei Shi, Hao Zhu:
Decentralized Dynamic Optimization for Power Network Voltage Control. IEEE Trans. Signal Inf. Process. over Networks 3(3): 568-579 (2017) - [i10]Vassilis Kekatos, Gang Wang, Hao Zhu, Georgios B. Giannakis:
PSSE Redux: Convex Relaxation, Decentralized, Robust, and Dynamic Approaches. CoRR abs/1708.03981 (2017) - 2016
- [c14]Hao Jan Liu, Wei Shi, Hao Zhu:
Dynamic decentralized voltage control for power distribution networks. SSP 2016: 1-5 - [i9]Hao Jan Liu, Wei Shi, Hao Zhu:
Decentralized Dynamic Optimization for Power Network Voltage Control. CoRR abs/1607.06890 (2016) - 2015
- [i8]Georgios B. Giannakis, Qing Ling, Gonzalo Mateos, Ioannis D. Schizas, Hao Zhu:
Decentralized learning for wireless communications and networking. CoRR abs/1503.08855 (2015) - 2014
- [j11]Hao Zhu, Georgios B. Giannakis:
Power System Nonlinear State Estimation Using Distributed Semidefinite Programming. IEEE J. Sel. Top. Signal Process. 8(6): 1039-1050 (2014) - [j10]Narayan Prasad, Honghai Zhang, Hao Zhu, Sampath Rangarajan:
Multiuser Scheduling in the 3GPP LTE Cellular Uplink. IEEE Trans. Mob. Comput. 13(1): 130-145 (2014) - [c13]Hao Jan Liu, Richard Macwan, Nicholas Alexander, Hao Zhu:
A methodology to analyze conservation voltage reduction performance using field test data. SmartGridComm 2014: 529-534 - 2013
- [j9]Georgios B. Giannakis, Vassilis Kekatos, Nikolaos Gatsis, Seung-Jun Kim, Hao Zhu, Bruce F. Wollenberg:
Monitoring and Optimization for Power Grids: A Signal Processing Perspective. IEEE Signal Process. Mag. 30(5): 107-128 (2013) - [j8]Emiliano Dall'Anese, Hao Zhu, Georgios B. Giannakis:
Distributed Optimal Power Flow for Smart Microgrids. IEEE Trans. Smart Grid 4(3): 1464-1475 (2013) - [j7]Narayan Prasad, Honghai Zhang, Hao Zhu, Sampath Rangarajan:
Multi-User MIMO Scheduling in the Fourth Generation Cellular Uplink. IEEE Trans. Wirel. Commun. 12(9): 4272-4285 (2013) - [c12]Narayan Prasad, Honghai Zhang, Hao Zhu, Sampath Rangarajan:
Multi-user MIMO scheduling in the fourth generation cellular uplink. ACSSC 2013: 1855-1859 - 2012
- [j6]Hao Zhu, Narayan Prasad, Sampath Rangarajan:
Precoder Design for Physical Layer Multicasting. IEEE Trans. Signal Process. 60(11): 5932-5947 (2012) - [c11]Hao Zhu, Narayan Prasad, Sampath Rangarajan:
Precoder design for weighted sum delay minimization in MIMO physical layer multicasting. GLOBECOM 2012: 2280-2285 - [c10]Hao Zhu, Narayan Prasad, Sampath Rangarajan:
Precoder design for physical layer multicasting. ICC 2012: 2140-2144 - [c9]Hao Zhu, Georgios B. Giannakis:
Multi-area state estimation using distributed SDP for nonlinear power systems. SmartGridComm 2012: 623-628 - [c8]Narayan Prasad, Honghai Zhang, Hao Zhu, Sampath Rangarajan:
Multi-user scheduling in the 3GPP LTE cellular uplink. WiOpt 2012: 262-269 - [i7]Narayan Prasad, Honghai Zhang, Hao Zhu, Sampath Rangarajan:
Multi-User Scheduling in the 3GPP LTE Cellular Uplink. CoRR abs/1201.3869 (2012) - [i6]Hao Zhu, Georgios B. Giannakis:
Robust Power System State Estimation for the Nonlinear AC Flow Model. CoRR abs/1206.4900 (2012) - [i5]Emiliano Dall'Anese, Hao Zhu, Georgios B. Giannakis:
Distributed Optimal Power Flow for Smart Microgrids. CoRR abs/1211.5856 (2012) - 2011
- [j5]Hao Zhu, Georgios B. Giannakis:
Exploiting Sparse User Activity in Multiuser Detection. IEEE Trans. Commun. 59(2): 454-465 (2011) - [j4]Hao Zhu, Geert Leus, Georgios B. Giannakis:
Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling. IEEE Trans. Signal Process. 59(5): 2002-2016 (2011) - [c7]Georgios B. Giannakis, Gonzalo Mateos, Shahrokh Farahmand, Vassilis Kekatos, Hao Zhu:
USPACOR: Universal sparsity-controlling outlier rejection. ICASSP 2011: 1952-1955 - [c6]Hao Zhu, Georgios B. Giannakis, Geert Leus:
Weighted and structured sparse total least-squares for perturbed compressive sampling. ICASSP 2011: 3792-3795 - [c5]Hao Zhu, Georgios B. Giannakis:
Lassoing line outages in the smart power grid. SmartGridComm 2011: 570-575 - [i4]Hao Zhu, Georgios B. Giannakis:
Lassoing Line Outages in the Smart Power Grid. CoRR abs/1105.3168 (2011) - [i3]Narayan Prasad, Honghai Zhang, Hao Zhu, Sampath Rangarajan:
Multi-User MIMO Scheduling in the Fourth Generation Cellular Uplink. CoRR abs/1108.0013 (2011) - [i2]Hao Zhu, Narayan Prasad, Sampath Rangarajan:
Precoder Design for Physical Layer Multicasting. CoRR abs/1109.6269 (2011) - 2010
- [j3]Hao Zhu, Alfonso Cano, Georgios B. Giannakis:
Distributed consensus-based demodulation: algorithms and error analysis. IEEE Trans. Wirel. Commun. 9(6): 2044-2054 (2010) - [c4]Hao Zhu, Gonzalo Mateos, Georgios B. Giannakis, Nicholas D. Sidiropoulos, Arindam Banerjee:
Sparsity-cognizant overlapping co-clustering for behavior inference in social networks. ICASSP 2010: 3534-3537 - [i1]Hao Zhu, Geert Leus, Georgios B. Giannakis:
Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling. CoRR abs/1008.2996 (2010)
2000 – 2009
- 2009
- [j2]Hao Zhu, Ioannis D. Schizas, Georgios B. Giannakis:
Power-efficient dimensionality reduction for distributed channel-aware kalman tracking using WSNs. IEEE Trans. Signal Process. 57(8): 3193-3207 (2009) - [j1]Hao Zhu, Georgios B. Giannakis, Alfonso Cano:
Distributed in-network channel decoding. IEEE Trans. Signal Process. 57(10): 3970-3983 (2009) - [c3]Hao Zhu, Georgios B. Giannakis:
Sparsity-embracing multiuser detection for CDMA systems with low activity factory. ISIT 2009: 164-168 - 2008
- [c2]Hao Zhu, Alfonso Cano, Georgios B. Giannakis:
Distributed demodulation using consensus averaging in wireless sensor networks. ACSCC 2008: 1170-1174 - [c1]Hao Zhu, Alfonso Cano, Georgios B. Giannakis:
In-network channel decoding using consensus on log-likelihood ratio averagesy. CISS 2008: 1058-1063
Coauthor Index
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