Gang Wang

Xin Wang

Hao Deng

IEEE Trans. Veh. Technol., 2020

Two-Timescale Voltage Control in Distribution Grids Using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2020

Linear Quadratic Regulator of Discrete-Time Switched Linear Systems.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst., 2020

Optimal Partial Feedback Attacks in Cyber-Physical Power Systems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2020

Wireless Power Transmitter Deployment for Balancing Fairness and Charging Service Quality.

[BibT_eX]

[DOI]

Mingqing Liu

Mingliang Xiong

Hao Deng

IEEE Internet Things J., 2020

MobiGyges: A mobile hidden volume for preventing data loss, improving storage utilization, and avoiding device reboot.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2020

Learning while Respecting Privacy and Robustness to Distributional Uncertainties and Adversarial Data.

[BibT_eX]

[DOI]

Meng Ma

CoRR, 2020

Reinforcement Learning for Caching with Space-Time Popularity Dynamics.

[BibT_eX]

[DOI]

Fatemeh Sheikholeslami

CoRR, 2020

Robust PSSE Using Graph Neural Networks for Data-driven and Topology-aware Priors.

[BibT_eX]

[DOI]

CoRR, 2020

MARVEL: Enabling controller load balancing in software-defined networks with multi-agent reinforcement learning.

[BibT_eX]

[DOI]

Comput. Networks, 2020

Power System State Estimation Using Gauss-Newton Unrolled Neural Networks with Trainable Priors.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Deep Policy Gradient for Reactive Power Control in Distribution Systems.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis.

[BibT_eX]

[DOI]

Songtao Lu

Gerald Tesauro

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning connectivity and higher-order interactions in radial distribution grids.

[BibT_eX]

[DOI]

Mario Coutino

Geert Leus

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Hierarchical Caching via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Finite-Time Error Bounds for Biased Stochastic Approximation with Applications to Q-Learning.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation.

[BibT_eX]

[DOI]

Jun Sun

Qinmin Yang

Zaiyue Yang

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Real-Time Power System State Estimation and Forecasting via Deep Unrolled Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

Graph Multiview Canonical Correlation Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

Nonlinear Dimensionality Reduction for Discriminative Analytics of Multiple Datasets.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

Robust and Scalable Power System State Estimation via Composite Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2019

Robust Power System State Estimation From Rank-One Measurements.

[BibT_eX]

[DOI]

Hao Zhu

IEEE Trans. Control. Netw. Syst., 2019

Deep Reinforcement Learning for Adaptive Caching in Hierarchical Content Delivery Networks.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., 2019

Distribution system state estimation: an overview of recent developments.

[BibT_eX]

[DOI]

Frontiers Inf. Technol. Electron. Eng., 2019

Mobile Energy Transfer in Internet of Things.

[BibT_eX]

[DOI]

Qingqing Zhang

IEEE Internet Things J., 2019

Finite-Sample Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation.

[BibT_eX]

[DOI]

Jun Sun

Qinmin Yang

Zaiyue Yang

CoRR, 2019

A Statistical Learning Approach to Reactive Power Control in Distribution Systems.

[BibT_eX]

[DOI]

CoRR, 2019

A Multistep Lyapunov Approach for Finite-Time Analysis of Biased Stochastic Approximation.

[BibT_eX]

[DOI]

Bingcong Li

CoRR, 2019

Real-time Voltage Control Using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Adaptive Caching via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Resonant Beam Communications: Principles and Designs.

[BibT_eX]

[DOI]

Mingliang Xiong

Chuan Huang

IEEE Commun. Mag., 2019

Analytical Models for Resonant Beam Communications.

[BibT_eX]

[DOI]

Mingliang Xiong

Sihai Zhang

Chuan Huang

Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

Two-Timescale Voltage Regulation in Distribution Grids Using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Power System State Forecasting via Deep Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Multiview Canonical Correlation Analysis over Graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Distribution System State Estimation Via Data-Driven and Physics-Aware Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Data Science Workshop, 2019

2018

Power System State Estimation via Feasible Point Pursuit: Algorithms and Cramér-Rao Bound.

[BibT_eX]

[DOI]

Ahmed S. Zamzam

Nicholas D. Sidiropoulos

IEEE Trans. Signal Process., 2018

Sparse Phase Retrieval via Truncated Amplitude Flow.

[BibT_eX]

[DOI]

Mehmet Akçakaya

IEEE Trans. Signal Process., 2018

Canonical Correlation Analysis of Datasets With a Common Source Graph.

[BibT_eX]

[DOI]

Yanning Shen

IEEE Trans. Signal Process., 2018

Phase Retrieval via Reweighted Amplitude Flow.

[BibT_eX]

[DOI]

Yousef Saad

IEEE Trans. Signal Process., 2018

Compressive Phase Retrieval via Reweighted Amplitude Flow.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2018

Solving Systems of Random Quadratic Equations via Truncated Amplitude Flow.

[BibT_eX]

[DOI]

Yonina C. Eldar

IEEE Trans. Inf. Theory, 2018

Real-time Power System State Estimation and Forecasting via Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Canonical Correlation Analysis with Common Graph Priors.

[BibT_eX]

[DOI]

Yanning Shen

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Dpca: Dimensionality Reduction for Discriminative Analytics of Multiple Large-Scale Datasets.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Real-Time Power System State Estimation via Deep Unrolled Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Sparse Phase Retrieval Via Iteratively Reweighted Amplitude Flow.

[BibT_eX]

[DOI]

Proceedings of the 26th European Signal Processing Conference, 2018

Nonlinear Discriminative Dimensionality Reduction of Multiple Datasets.

[BibT_eX]

[DOI]

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Randomized Block Frank-Wolfe for Convergent Large-Scale Learning.

[BibT_eX]

[DOI]

Daniel Romero

IEEE Trans. Signal Process., 2017

Scalable Solvers of Random Quadratic Equations via Stochastic Truncated Amplitude Flow.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

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

[BibT_eX]

[DOI]

Hao Zhu

CoRR, 2017

Solving Almost all Systems of Random Quadratic Equations.

[BibT_eX]

[DOI]

Yousef Saad

CoRR, 2017

Solving Most Systems of Random Quadratic Equations.

[BibT_eX]

[DOI]

Yousef Saad

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

SPARTA: Sparse phase retrieval via Truncated Amplitude flow.

[BibT_eX]

[DOI]

Mehmet Akçakaya

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Solving large-scale systems of random quadratic equations via stochastic truncated amplitude flow.

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

Going beyond linear dependencies to unveil connectivity of meshed grids.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

Solving Random Systems of Quadratic Equations via Truncated Generalized Gradient Flow.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Stochastic energy management in distribution grids.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Power system state estimation via feasible point pursuit.

[BibT_eX]

[DOI]

Ahmed S. Zamzam

Nicholas D. Sidiropoulos

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Tensor completion via group-sparse regularization.

[BibT_eX]

[DOI]

Bo Yang

Nicholas D. Sidiropoulos

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Ergodic Energy Management Leveraging Resource Variability in Distribution Grids.

[BibT_eX]

[DOI]

Antonio J. Conejo

CoRR, 2015

Adaptive censoring for large-scale regressions.

[BibT_eX]

[DOI]

Dimitris K. Berberidis

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Centralized and Decentralized Optimal Scheduling for Charging Electric Vehicles.

[BibT_eX]

[DOI]

CoRR, 2014

Stochastic Reactive Power Management in Microgrids with Renewables.

[BibT_eX]

[DOI]

Antonio J. Conejo

CoRR, 2014

Online semidefinite programming for power system state estimation.

[BibT_eX]

[DOI]

Seung-Jun Kim

Proceedings of the IEEE International Conference on Acoustics, 2014

Online reconstruction from big data via compressive censoring.

[BibT_eX]

[DOI]

Dimitris Berberidis

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Online censoring for large-scale regressions.

[BibT_eX]

[DOI]

Dimitris Berberidis

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013

Moving-Horizon Dynamic Power System State Estimation Using Semidefinite Relaxation.

[BibT_eX]

[DOI]

Seung-Jun Kim