Liang Zhang

Publication Activity (10 Years)

Years Active: 2013-2019
Publications (10 Years): 19

Top Topics

Fully Automatic Segmentation

Electric Vehicles

Top Venues

IEEE Trans. Signal Process.

Publications

Liang Zhang, Gang Wang, Georgios B. Giannakis
Distribution System State Estimation Via Data-Driven and Physics-Aware Deep Neural Networks. DSW (2019)
Liang Zhang, Gang Wang, Georgios B. Giannakis
Real-Time Power System State Estimation and Forecasting via Deep Unrolled Neural Networks. IEEE Trans. Signal Process. 67 (15) (2019)
Liang Zhang, Gang Wang, Georgios B. Giannakis
Power System State Forecasting via Deep Recurrent Neural Networks. ICASSP (2019)
Pengcheng You, Steven H. Low, Liang Zhang, Ruilong Deng, Georgios B. Giannakis, Youxian Sun, Zaiyue Yang
Scheduling of EV Battery Swapping-Part II: Distributed Solutions. IEEE Trans. Control. Netw. Syst. 5 (4) (2018)
Liang Zhang, Gang Wang, Georgios B. Giannakis
Real-time Power System State Estimation and Forecasting via Deep Neural Networks. CoRR (2018)
Liang Zhang, Georgios Vasileios Karanikolas, Mehmet Akçakaya, Georgios B. Giannakis
Fully Automatic Segmentation of the Right Ventricle Via Multi-Task Deep Neural Networks. ICASSP (2018)
Gang Wang, Liang Zhang, Georgios B. Giannakis, Mehmet Akçakaya, Jie Chen
Sparse Phase Retrieval via Truncated Amplitude Flow. IEEE Trans. Signal Process. 66 (2) (2018)
Gang Wang, Liang Zhang, Georgios B. Giannakis, Jie Chen
Sparse Phase Retrieval Via Iteratively Reweighted Amplitude Flow. EUSIPCO (2018)
Liang Zhang, Gang Wang, Georgios B. Giannakis, Jie Chen
Compressive Phase Retrieval via Reweighted Amplitude Flow. IEEE Trans. Signal Process. 66 (19) (2018)
Liang Zhang, Gang Wang, Georgios B. Giannakis
Real-Time Power System State Estimation via Deep Unrolled Neural Networks. GlobalSIP (2018)
Liang Zhang, Gang Wang, Daniel Romero, Georgios B. Giannakis
Randomized Block Frank-Wolfe for Convergent Large-Scale Learning. IEEE Trans. Signal Process. 65 (24) (2017)
Liang Zhang, Gang Wang, Georgios B. Giannakis
Going beyond linear dependencies to unveil connectivity of meshed grids. CAMSAP (2017)
Liang Zhang, Gang Wang, Georgios B. Giannakis, Jie Chen
Compressive Phase Retrieval via Reweighted Amplitude Flow. CoRR (2017)
Siddharth Bhela, Vassilis Kekatos, Liang Zhang, Sriharsha Veeramachaneni
Enhancing observability in power distribution grids. ICASSP (2017)
Gang Wang, Liang Zhang, Georgios B. Giannakis, Mehmet Akçakaya, Jie Chen
Sparse Phase Retrieval via Truncated Amplitude Flow. CoRR (2016)
Liang Zhang, Daniel Romero, Georgios B. Giannakis
Fast convergent algorithms for multi-kernel regression. SSP (2016)
Zhangyang Wang, Liang Zhang, Yingzhen Yang, Jiayu Zhou, Georgios B. Giannakis, Thomas S. Huang
Deep Double Sparsity Encoder: Learning to Sparsify Not Only Features But Also Parameters. CoRR (2016)
Liang Zhang, Vassilis Kekatos, Georgios B. Giannakis
A generalized Frank-wolfe approach to decentralized electric vehicle charging. CDC (2016)
Liang Zhang, Gang Wang, Daniel Romero, Georgios B. Giannakis
Randomized Block Frank-Wolfe for Convergent Large-Scale Learning. CoRR (2016)
Vassilis Kekatos, Liang Zhang, Georgios B. Giannakis, Ross Baldick
Voltage Regulation Algorithms for Multiphase Power Distribution Grids. CoRR (2015)
Vassilis Kekatos, Liang Zhang, Georgios B. Giannakis, Ross Baldick
Fast localized voltage regulation in single-phase distribution grids. SmartGridComm (2015)
Liang Zhang, Zheng Yan, Donghan Feng, Gang Wang, Shaolun Xu, Naihu Li, Lei Jing
Centralized and Decentralized Optimal Scheduling for Charging Electric Vehicles. CoRR (2014)
Shaolun Xu, Donghan Feng, Zheng Yan, Liang Zhang, Naihu Li, Lei Jing, Jianhui Wang
Ant-Based Swarm Algorithm for Charging Coordination of Electric Vehicles. Int. J. Distributed Sens. Networks 9 (2013)