82 citations · 620 across the 68 of their papers we have counts for
13 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…
Adversarial Feature Learning of Online Monitoring Data for Operational Risk Assessment in Distribution Networks
Xin Shi, Robert Qiu, Tiebin Mi +2
With the deployment of online monitoring systems in distribution networks, massive amounts of data collected through them contains rich information on the operating states of the n…
Unsupervised Feature Learning for Online Voltage Stability Evaluation and Monitoring Based on Variational Autoencoder
Haosen Yang, Robert C. Qiu, Xin Shi +1
With the increase of uncertain elements in power systems and extensive deployment of online monitoring devices, it is necessary to search a more real-time and robust voltage stabil…
StreamBox-TZ: Secure Stream Analytics at the Edge with TrustZone
Heejin Park, Shuang Zhai, Long Lu +1
While it is compelling to process large streams of IoT data on the cloud edge, doing so exposes the data to a sophisticated, vulnerable software stack on the edge and hence securit…
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…
Efficient Nonlinear Precoding for Massive MU-MIMO Downlink Systems with 1-Bit DACs
Lei Chu, Fei Wen, Lily Li +1
The power consumption of digital-to-analog converters (DACs) constitutes a significant proportion of the total power consumption in a massive multiuser multiple-input multiple-outp…