Hao Zhu - RankMe

88 papers B 3C 3Misc 6Journal 60Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Carbon-aware Market Participation for Building Energy Management Systems. CoRR Young-ho Cho, Mohamad Fares El Hajj Chehade, Fatima Al-Janahi, Sol Lim, Javad Mohammadi, Hao Zhu
2026	J	`jnl`	Communication-Aware Wide-Area Damping Control Using Risk-Constrained Reinforcement Learning. IEEE Trans. Smart Grid Kyung-bin Kwon, Lintao Ye, Vijay Gupta, Hao Zhu
2025	—	`conf`	A Unified Approach for Learning the Dynamics of Power System Generators and Inverter-based Resources. HICSS Shaohui Liu, Weiqian Cai, Hao Zhu, Brian Johnson
2025	J	`jnl`	Communication-aware Wide-Area Damping Control using Risk-Constrained Reinforcement Learning. CoRR Kyung-bin Kwon, Lintao Ye, Vijay Gupta, Hao Zhu
2025	J	`jnl`	Sparse Neural Approximations for Bilevel Adversarial Problems in Power Grids. CoRR Young-ho Cho, Harsha Nagarajan, Deepjyoti Deka, Hao Zhu
2025	J	`jnl`	Wind Power Scenario Generation based on the Generalized Dynamic Factor Model and Generative Adversarial Network. CoRR Young-ho Cho, Hao Zhu, Duehee Lee, Ross Baldick
2024	J	`jnl`	A Unified Approach for Learning the Dynamics of Power System Generators and Inverter-based Resources. CoRR Shaohui Liu, Weiqian Cai, Hao Zhu, Brian Johnson
2023	J	`jnl`	Data-driven Forced Oscillation Localization using Inferred Impulse Responses. CoRR Shaohui Liu, Hao Zhu, Vassilis Kekatos
2023	—	`conf`	Dynamic Response Recovery Using Ambient Synchrophasor Data: A Synthetic Texas Interconnection Case Study. HICSS Shaohui Liu, Hao Zhu, Vassilis Kekatos
2023	J	`jnl`	On the Sample Complexity of Decentralized Linear Quadratic Regulator With Partially Nested Information Structure. IEEE Trans. Autom. Control. Lintao Ye, Hao Zhu, Vijay Gupta
2023	J	`jnl`	Optimal Power System Topology Control Under Uncertain Wildfire Risk. CoRR Yuqi Zhou, Kaarthik Sundar, Deepjyoti Deka, Hao Zhu
2023	C	`conf`	Reinforcement Learning-based Output Structured Feedback for Distributed Multi-Area Power System Frequency Control. ACC Kyung-bin Kwon, Sayak Mukherjee, Hao Zhu, Thanh Long Vu
2023	J	`jnl`	Risk-Constrained Reinforcement Learning for Inverter-Dominated Power System Controls. IEEE Control. Syst. Lett. Kyung-bin Kwon, Sayak Mukherjee, Thanh Long Vu, Hao Zhu
2022	J	`jnl`	Dynamic Response Recovery Using Ambient Synchrophasor Data: A Synthetic Texas Interconnection Case Study. CoRR Shaohui Liu, Hao Zhu, Vassilis Kekatos
2022	—	`conf`	Efficient Representation for Electric Vehicle Charging Station Operations using Reinforcement Learning. HICSS Kyung-bin Kwon, Hao Zhu
2022	—	`conf`	Model-free Learning for Risk-constrained Linear Quadratic Regulator with Structured Feedback in Networked Systems. CDC Kyung-bin Kwon, Lintao Ye, Vijay Gupta, Hao Zhu
2022	J	`jnl`	Reinforcement Learning-Based Optimal Battery Control Under Cycle-Based Degradation Cost. IEEE Trans. Smart Grid Kyung-bin Kwon, Hao Zhu
2022	J	`jnl`	Topology-aware Graph Neural Networks for Learning Feasible and Adaptive ac-OPF Solutions. CoRR Shaohui Liu, Chengyang Wu, Hao Zhu
2022	J	`jnl`	Wind Power Scenario Generation Using Graph Convolutional Generative Adversarial Network. CoRR Young-ho Cho, Shaohui Liu, Duehee Lee, Hao Zhu
2021	J	`jnl`	A Dynamic Response Recovery Framework Using Ambient Synchrophasor Data. CoRR Shaohui Liu, Hao Zhu, Vassilis Kekatos
2021	J	`jnl`	Appliance Level Short-term Load Forecasting via Recurrent Neural Network. CoRR Yuqi Zhou, Arun Sukumaran Nair, David Ganger, Abhinandan Tripathi, Chaitanya Baone, Hao Zhu
2021	J	`jnl`	Data-driven Modeling for Distribution Grids Under Partial Observability. CoRR Shanny Lin, Hao Zhu
2021	J	`jnl`	Efficient Representation for Electric Vehicle Charging Station Operations using Reinforcement Learning. CoRR Kyung-bin Kwon, Hao Zhu
2021	J	`jnl`	Enhancing the Spatio-Temporal Observability of Grid-Edge Resources in Distribution Grids. IEEE Trans. Smart Grid Shanny Lin, Hao Zhu
2021	J	`jnl`	Enhancing the Spatio-temporal Observability of Grid-Edge Resources in Distribution Grids. CoRR Shanny Lin, Hao Zhu
2021	J	`jnl`	Graph Neural Networks for Learning Real-Time Prices in Electricity Market. CoRR Shaohui Liu, Chengyang Wu, Hao Zhu
2021	—	`conf`	Inferring Power System Frequency Oscillations using Gaussian Processes. CDC Mana Jalali, Vassilis Kekatos, Siddharth Bhela, Hao Zhu
2021	J	`jnl`	Inferring power system dynamics from synchrophasor data using Gaussian processes. CoRR Mana Jalali, Vassilis Kekatos, Siddharth Bhela, Hao Zhu, Virgilio Centeno
2021	J	`jnl`	On the Sample Complexity of Decentralized Linear Quadratic Regulator with Partially Nested Information Structure. CoRR Lintao Ye, Hao Zhu, Vijay Gupta
2021	J	`jnl`	Risk-Aware Learning for Scalable Voltage Optimization in Distribution Grids. CoRR Shanny Lin, Shaohui Liu, Hao Zhu
2021	J	`jnl`	Scalable Learning for Optimal Load Shedding Under Power Grid Emergency Operations. CoRR Yuqi Zhou, Jeehyun Park, Hao Zhu
2021	C	`conf`	Substation-Level Grid Topology Optimization Using Bus Splitting. ACC Yuqi Zhou, Ahmed S. Zamzam, Andrey Bernstein, Hao Zhu
2020	J	`jnl`	Dynamic Distribution State Estimation Using Synchrophasor Data. IEEE Trans. Smart Grid Jianhan Song, Emiliano Dall'Anese, Andrea Simonetto, Hao Zhu
2020	—	`conf`	Enhancing the Spatio-Temporal Observability of Residential Loads. HICSS Shanny Lin, Hao Zhu
2020	J	`jnl`	Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies. SIAM J. Control. Optim. Kaiqing Zhang, Alec Koppel, Hao Zhu, Tamer Basar
2019	—	`conf`	Convergence and Iteration Complexity of Policy Gradient Method for Infinite-horizon Reinforcement Learning. CDC Kaiqing Zhang, Alec Koppel, Hao Zhu, Tamer Basar
2019	J	`jnl`	Enhancing the Spatio-Temporal Observability of Residential Loads. CoRR Shanny Lin, Hao Zhu
2019	J	`jnl`	Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies. CoRR Kaiqing Zhang, Alec Koppel, Hao Zhu, Tamer Basar
2019	J	`jnl`	Hybrid Voltage Control in Distribution Networks Under Limited Communication Rates. IEEE Trans. Smart Grid Hao Jan Liu, Wei Shi, Hao Zhu
2019	J	`jnl`	Intrusion Detection in Distributed Frequency Control of Isolated Microgrids. IEEE Trans. Smart Grid Lin-Yu Lu, Hao Jan Liu, Hao Zhu, Chia-Chi Chu
2019	—	`conf`	Online Demand Response of Voltage-Dependent Loads for Corrective Grid De-Congestion. SmartGridComm Mohammadhafez Bazrafshan, Hao Zhu, Amin Khodaei, Nikolaos Gatsis
2019	Misc	`conf`	Policy Search in Infinite-Horizon Discounted Reinforcement Learning: Advances through Connections to Non-Convex Optimization : Invited Presentation. CISS Kaiqing Zhang, Alec Koppel, Hao Zhu, Tamer Basar
2019	J	`jnl`	Projected Stochastic Primal-Dual Method for Constrained Online Learning With Kernels. IEEE Trans. Signal Process. Alec Koppel, Kaiqing Zhang, Hao Zhu, Tamer Basar
2019	J	`jnl`	Robust Power System State Estimation From Rank-One Measurements. IEEE Trans. Control. Netw. Syst. Gang Wang, Hao Zhu, Georgios B. Giannakis, Jian Sun
2019	—	`conf`	Secure Integration of Electric Vehicles with the Power Grid. SmartGridComm Chaitra Niddodi, Shanny Lin, Sibin Mohan, Hao Zhu
2019	J	`jnl`	Secure Integration of Electric Vehicles with the Power Grid. CoRR Chaitra Niddodi, Shanny Lin, Sibin Mohan, Hao Zhu
2018	C	`conf`	Distributed Equilibrium-Learning for Power Network Voltage Control With a Locally Connected Communication Network. ACC Kaiqing Zhang, Wei Shi, Hao Zhu, Tamer Basar
2018	J	`jnl`	Distributed Equilibrium-Learning for Power Network Voltage Control With a Locally Connected Communication Network. CoRR Kaiqing Zhang, Wei Shi, Hao Zhu, Tamer Basar
2018	J	`jnl`	Distributed Voltage Control in Distribution Networks: Online and Robust Implementations. IEEE Trans. Smart Grid Hao Jan Liu, Wei Shi, Hao Zhu
2018	J	`jnl`	Dynamic Power Distribution System Management With a Locally Connected Communication Network. CoRR Kaiqing Zhang, Wei Shi, Hao Zhu, Emiliano Dall'Anese, Tamer Basar
2018	J	`jnl`	Dynamic Power Distribution System Management With a Locally Connected Communication Network. IEEE J. Sel. Top. Signal Process. Kaiqing Zhang, Wei Shi, Hao Zhu, Emiliano Dall'Anese, Tamer Basar
2018	—	`conf`	Projected Stochastic Primal-Dual Method for Constrained Online Learning with Kernels. CDC Kaiqing Zhang, Hao Zhu, Tamer Basar, Alec Koppel
2017	J	`jnl`	Decentralized Dynamic Optimization for Power Network Voltage Control. IEEE Trans. Signal Inf. Process. over Networks Hao Jan Liu, Wei Shi, Hao Zhu
2017	J	`jnl`	PSSE Redux: Convex Relaxation, Decentralized, Robust, and Dynamic Approaches. CoRR Vassilis Kekatos, Gang Wang, Hao Zhu, Georgios B. Giannakis
2016	J	`jnl`	Decentralized Dynamic Optimization for Power Network Voltage Control. CoRR Hao Jan Liu, Wei Shi, Hao Zhu
2016	—	`conf`	Dynamic decentralized voltage control for power distribution networks. SSP Hao Jan Liu, Wei Shi, Hao Zhu
2015	J	`jnl`	Decentralized learning for wireless communications and networking. CoRR Georgios B. Giannakis, Qing Ling, Gonzalo Mateos, Ioannis D. Schizas, Hao Zhu
2014	—	`conf`	A methodology to analyze conservation voltage reduction performance using field test data. SmartGridComm Hao Jan Liu, Richard Macwan, Nicholas Alexander, Hao Zhu
2014	J	`jnl`	Multiuser Scheduling in the 3GPP LTE Cellular Uplink. IEEE Trans. Mob. Comput. Narayan Prasad, Honghai Zhang, Hao Zhu, Sampath Rangarajan
2014	J	`jnl`	Power System Nonlinear State Estimation Using Distributed Semidefinite Programming. IEEE J. Sel. Top. Signal Process. Hao Zhu, Georgios B. Giannakis
2013	J	`jnl`	Distributed Optimal Power Flow for Smart Microgrids. IEEE Trans. Smart Grid Emiliano Dall'Anese, Hao Zhu, Georgios B. Giannakis
2013	J	`jnl`	Monitoring and Optimization for Power Grids: A Signal Processing Perspective. IEEE Signal Process. Mag. Georgios B. Giannakis, Vassilis Kekatos, Nikolaos Gatsis, Seung-Jun Kim, Hao Zhu, Bruce F. Wollenberg
2013	J	`jnl`	Multi-User MIMO Scheduling in the Fourth Generation Cellular Uplink. IEEE Trans. Wirel. Commun. Narayan Prasad, Honghai Zhang, Hao Zhu, Sampath Rangarajan
2013	Misc	`conf`	Multi-user MIMO scheduling in the fourth generation cellular uplink. ACSSC Narayan Prasad, Honghai Zhang, Hao Zhu, Sampath Rangarajan
2012	J	`jnl`	Distributed Optimal Power Flow for Smart Microgrids CoRR Emiliano Dall'Anese, Hao Zhu, Georgios B. Giannakis
2012	J	`jnl`	Multi-User Scheduling in the 3GPP LTE Cellular Uplink CoRR Narayan Prasad, Honghai Zhang, Hao Zhu, Sampath Rangarajan
2012	—	`conf`	Multi-area state estimation using distributed SDP for nonlinear power systems. SmartGridComm Hao Zhu, Georgios B. Giannakis
2012	B	`conf`	Multi-user scheduling in the 3GPP LTE cellular uplink. WiOpt Narayan Prasad, Honghai Zhang, Hao Zhu, Sampath Rangarajan
2012	J	`jnl`	Precoder Design for Physical Layer Multicasting. IEEE Trans. Signal Process. Hao Zhu, Narayan Prasad, Sampath Rangarajan
2012	—	`conf`	Precoder design for physical layer multicasting. ICC Hao Zhu, Narayan Prasad, Sampath Rangarajan
2012	B	`conf`	Precoder design for weighted sum delay minimization in MIMO physical layer multicasting. GLOBECOM Hao Zhu, Narayan Prasad, Sampath Rangarajan
2012	J	`jnl`	Robust Power System State Estimation for the Nonlinear AC Flow Model CoRR Hao Zhu, Georgios B. Giannakis
2011	J	`jnl`	Exploiting Sparse User Activity in Multiuser Detection. IEEE Trans. Commun. Hao Zhu, Georgios B. Giannakis
2011	J	`jnl`	Lassoing Line Outages in the Smart Power Grid CoRR Hao Zhu, Georgios B. Giannakis
2011	—	`conf`	Lassoing line outages in the smart power grid. SmartGridComm Hao Zhu, Georgios B. Giannakis
2011	J	`jnl`	Multi-User MIMO Scheduling in the Fourth Generation Cellular Uplink CoRR Narayan Prasad, Honghai Zhang, Hao Zhu, Sampath Rangarajan
2011	J	`jnl`	Precoder Design for Physical Layer Multicasting CoRR Hao Zhu, Narayan Prasad, Sampath Rangarajan
2011	J	`jnl`	Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling. IEEE Trans. Signal Process. Hao Zhu, Geert Leus, Georgios B. Giannakis
2011	Misc	`conf`	USPACOR: Universal sparsity-controlling outlier rejection. ICASSP Georgios B. Giannakis, Gonzalo Mateos, Shahrokh Farahmand, Vassilis Kekatos, Hao Zhu
2011	Misc	`conf`	Weighted and structured sparse total least-squares for perturbed compressive sampling. ICASSP Hao Zhu, Georgios B. Giannakis, Geert Leus
2010	J	`jnl`	Distributed consensus-based demodulation: algorithms and error analysis. IEEE Trans. Wirel. Commun. Hao Zhu, Alfonso Cano, Georgios B. Giannakis
2010	J	`jnl`	Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling CoRR Hao Zhu, Geert Leus, Georgios B. Giannakis
2010	Misc	`conf`	Sparsity-cognizant overlapping co-clustering for behavior inference in social networks. ICASSP Hao Zhu, Gonzalo Mateos, Georgios B. Giannakis, Nicholas D. Sidiropoulos, Arindam Banerjee
2009	J	`jnl`	Distributed in-network channel decoding. IEEE Trans. Signal Process. Hao Zhu, Georgios B. Giannakis, Alfonso Cano
2009	J	`jnl`	Power-efficient dimensionality reduction for distributed channel-aware kalman tracking using WSNs. IEEE Trans. Signal Process. Hao Zhu, Ioannis D. Schizas, Georgios B. Giannakis
2009	B	`conf`	Sparsity-embracing multiuser detection for CDMA systems with low activity factory. ISIT Hao Zhu, Georgios B. Giannakis
2008	—	`conf`	Distributed demodulation using consensus averaging in wireless sensor networks. ACSCC Hao Zhu, Alfonso Cano, Georgios B. Giannakis
2008	Misc	`conf`	In-network channel decoding using consensus on log-likelihood ratio averagesy. CISS Hao Zhu, Alfonso Cano, Georgios B. Giannakis