11 citations · 21 across the 12 of their papers we have counts for
4 papers · 1 filter
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo
Yi Wei, Shaohui Liu, Yongming Rao +3
In this work, we present a new multi-view depth estimation method that utilizes both conventional reconstruction and learning-based priors over the recently proposed neural radianc…
Risk-Aware Learning for Scalable Voltage Optimization in Distribution Grids
Shanny Lin, Shaohui Liu, Hao Zhu
Real-time coordination of distributed energy resources (DERs) is crucial for regulating the voltage profile in distribution grids. By capitalizing on a scalable neural network (NN)…
Graph Neural Networks for Learning Real-Time Prices in Electricity Market
Shaohui Liu, Chengyang Wu, Hao Zhu
Solving the optimal power flow (OPF) problem in real-time electricity market improves the efficiency and reliability in the integration of low-carbon energy resources into the powe…
A Dynamic Response Recovery Framework Using Ambient Synchrophasor Data
Shaohui Liu, Hao Zhu, Vassilis Kekatos
Wide-area dynamic studies are of paramount importance to ensure the stability and reliability of power grids. The rising deployment synchrophasor and other sensing technologies has…