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20172023
most citedNon-stationary spatio-temporal point process modeling for high-resolution COVID-19 data

4 citations · 12 across the 9 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

stat.AP2021

Quantifying Grid Resilience Against Extreme Weather Using Large-Scale Customer Power Outage Data

Shixiang Zhu, Rui Yao, Yao Xie +3

In recent decades, the weather around the world has become more irregular and extreme, often causing large-scale extended power outages. Resilience -- the capability of withstandin…

stat.AP2021★ 4 cited

Non-stationary spatio-temporal point process modeling for high-resolution COVID-19 data

Zheng Dong, Shixiang Zhu, Yao Xie +2

Most COVID-19 studies commonly report figures of the overall infection at a state- or county-level. This aggregation tends to miss out on fine details of virus propagation. In this…

stat.AP2021★ 1 cited

Multi-resolution spatio-temporal prediction with application to wind power generation

Zheng Dong, Hanyu Zhang, Shixiang Zhu +2

Wind energy is becoming an increasingly crucial component of a sustainable grid, but its inherent variability and limited predictability present challenges for grid operators. The…

cs.CV2021

Signal Processing Challenges and Examples for {\it in-situ} Transmission Electron Microscopy

Josh Kacher, Yao Xie, Sven P. Voigt +4

Transmission Electron Microscopy (TEM) is a powerful tool for imaging material structure and characterizing material chemistry. Recent advances in data collection technology for TE…

math.OC2021★ 2 cited

Data-Driven Optimization for Atlanta Police Zone Design

Shixiang Zhu, He Wang, Yao Xie

We present a data-driven optimization framework for redesigning police patrol zones in an urban environment. The objectives are to rebalance police workload among geographical area…