Hazard resistance-based spatiotemporal risk analysis for distribution network outages during hurricanes

no code implementations • 18 Jan 2024 • Luo Xu, Ning Lin, Dazhi Xi, Kairui Feng, H. Vincent Poor

This method converts the time-varying failure probability of a component into a hazard resistance as a time-invariant value during the simulation of evolving hazards.

RainNet: A Large-Scale Imagery Dataset for Spatial Precipitation Downscaling

no code implementations • 29 Sep 2021 • Xuanhong Chen, Kairui Feng, Naiyuan Liu, Yifan Lu, Bingbing Ni, Ziang Liu, Maofeng Liu

Spatial precipitation downscaling is one of the most important meteorological problems.

Adversarial Diffusion Attacks on Graph-based Traffic Prediction Models

1 code implementation • 19 Apr 2021 • Lyuyi Zhu, Kairui Feng, Ziyuan Pu, Wei Ma

The diffusion attack aims to select and attack a small set of nodes to degrade the performance of the entire prediction model.

Adversarial Attack Management +1

RainNet: A Large-Scale Imagery Dataset and Benchmark for Spatial Precipitation Downscaling

1 code implementation • 17 Dec 2020 • Xuanhong Chen, Kairui Feng, Naiyuan Liu, Bingbing Ni, Yifan Lu, Zhengyan Tong, Ziang Liu

To alleviate these obstacles, we present the first large-scale spatial precipitation downscaling dataset named RainNet, which contains more than $62, 400$ pairs of high-quality low/high-resolution precipitation maps for over $17$ years, ready to help the evolution of deep learning models in precipitation downscaling.