Liang Zhang

According to our database, Liang Zhang authored at least 20 papers between 2013 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

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

Liang Zhang, Gang Wang, Georgios B. Giannakis

IEEE Trans. Signal Process., 2019

Power System State Forecasting via Deep Recurrent Neural Networks.

Liang Zhang, Gang Wang, Georgios B. Giannakis

Proceedings of the IEEE International Conference on Acoustics, 2019

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

Liang Zhang, Gang Wang, Georgios B. Giannakis

Proceedings of the IEEE Data Science Workshop, 2019

2018

Sparse Phase Retrieval via Truncated Amplitude Flow.

Gang Wang, Liang Zhang, Georgios B. Giannakis, Mehmet Akçakaya, Jie Chen

IEEE Trans. Signal Process., 2018

Compressive Phase Retrieval via Reweighted Amplitude Flow.

Liang Zhang, Gang Wang, Georgios B. Giannakis, Jie Chen

IEEE Trans. Signal Process., 2018

Scheduling of EV Battery Swapping-Part II: Distributed Solutions.

Pengcheng You, Steven H. Low, Liang Zhang, Ruilong Deng, Georgios B. Giannakis, Youxian Sun, Zaiyue Yang

IEEE Trans. Control. Netw. Syst., 2018

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

Liang Zhang, Gang Wang, Georgios B. Giannakis

CoRR, 2018

Fully Automatic Segmentation of the Right Ventricle Via Multi-Task Deep Neural Networks.

Liang Zhang, Georgios Vasileios Karanikolas, Mehmet Akçakaya, Georgios B. Giannakis

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

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

Liang Zhang, Gang Wang, Georgios B. Giannakis

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

Sparse Phase Retrieval Via Iteratively Reweighted Amplitude Flow.

Gang Wang, Liang Zhang, Georgios B. Giannakis, Jie Chen

Proceedings of the 26th European Signal Processing Conference, 2018

2017

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

Liang Zhang, Gang Wang, Daniel Romero, Georgios B. Giannakis

IEEE Trans. Signal Process., 2017

Enhancing observability in power distribution grids.

Siddharth Bhela, Vassilis Kekatos, Liang Zhang, Sriharsha Veeramachaneni

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Going beyond linear dependencies to unveil connectivity of meshed grids.

Liang Zhang, Gang Wang, Georgios B. Giannakis

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

2016

Deep Double Sparsity Encoder: Learning to Sparsify Not Only Features But Also Parameters.

Zhangyang Wang, Liang Zhang, Yingzhen Yang, Jiayu Zhou, Georgios B. Giannakis, Thomas S. Huang

CoRR, 2016

Fast convergent algorithms for multi-kernel regression.

Liang Zhang, Daniel Romero, Georgios B. Giannakis

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

A generalized Frank-wolfe approach to decentralized electric vehicle charging.

Liang Zhang, Vassilis Kekatos, Georgios B. Giannakis

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Voltage Regulation Algorithms for Multiphase Power Distribution Grids.

Vassilis Kekatos, Liang Zhang, Georgios B. Giannakis, Ross Baldick

CoRR, 2015

Fast localized voltage regulation in single-phase distribution grids.

Vassilis Kekatos, Liang Zhang, Georgios B. Giannakis, Ross Baldick

Proceedings of the 2015 IEEE International Conference on Smart Grid Communications, 2015

2014

Centralized and Decentralized Optimal Scheduling for Charging Electric Vehicles.

Liang Zhang, Zheng Yan, Donghan Feng, Gang Wang, Shaolun Xu, Naihu Li, Lei Jing

CoRR, 2014

2013

Ant-Based Swarm Algorithm for Charging Coordination of Electric Vehicles.

Shaolun Xu, Donghan Feng, Zheng Yan, Liang Zhang, Naihu Li, Lei Jing, Jianhui Wang

Int. J. Distributed Sens. Networks, 2013