63 citations · 256 across the 18 of their papers we have counts for
5 papers · 1 filter
Spatio-Temporal Correlation Analysis of Online Monitoring Data for Anomaly Detection and Location in Distribution Networks
Xin Shi, Robert Qiu, Zenan Ling +3
The online monitoring data in distribution networks contain rich information on the running states of the networks. By leveraging the data, this paper proposes a spatio-temporal co…
Spectrum concentration in deep residual learning: a free probability approach
Zenan Ling, Xing He, Robert C. Qiu
We revisit the initialization of deep residual networks (ResNets) by introducing a novel analytical tool in free probability to the community of deep learning. This tool deals with…
A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location
Zenan Ling, Robert C. Qiu, Xing He +1
Synchronized measurements of a large power grid enable an unprecedented opportunity to study the spatialtemporal correlations. Statistical analytics for those massive datasets star…
An Accurate and Real-time Self-blast Glass Insulator Location Method Based On Faster R-CNN and U-net with Aerial Images
Zenan Ling, Robert C. Qiu, Zhijian Jin +4
The location of broken insulators in aerial images is a challenging task. This paper, focusing on the self-blast glass insulator, proposes a deep learning solution. We address the…
Early Anomaly Detection and Location in Distribution Network: A Data-Driven Approach
Xin Shi, Robert Qiu, Xing He +3
The measurement data collected from the supervisory control and data acquisition (SCADA) system installed in distribution network can reflect the operational state of the network e…