9 citations · 11 across the 4 of their papers we have counts for
4 papers
Discovery of subdiffusion problem with noisy data via deep learning
Xingjian Xu, Minghua Chen
Data-driven discovery of partial differential equations (PDEs) from observed data in machine learning has been developed by embedding the discovery problem. Recently, the discovery…
Ensuring DNN Solution Feasibility for Optimization Problems with Convex Constraints and Its Application to DC Optimal Power Flow Problems
Tianyu Zhao, Xiang Pan, Minghua Chen +1
Ensuring solution feasibility is a key challenge in developing Deep Neural Network (DNN) schemes for solving constrained optimization problems, due to inherent DNN prediction error…
SUPER: Sparse signals with Unknown Phases Efficiently Recovered
Sheng Cai, Mayank Bakshi, Sidharth Jaggi +1
Suppose is any exactly -sparse vector in . We present a class of phase measurement matrix in , and a corresponding algorith…
Secure Compressed Reading in Smart Grids
Sheng Cai, Jihang Ye, Minghua Chen +2
Smart Grids measure energy usage in real-time and tailor supply and delivery accordingly, in order to improve power transmission and distribution. For the grids to operate effectiv…