no code implementations • 1 Feb 2024 • Zhihao Xue, Fan Yang, Juan Gao, Zhuo Chen, Hao Peng, Chao Zou, Hang Jin, Chenxi Hu
While unrolling-based deep reconstruction methods have achieved state-of-the-art performance on 2D image reconstruction, their application to 3D reconstruction is hindered by the large amount of memory needed to train an unrolled network.
no code implementations • 13 Nov 2023 • Haiyang Chen, Juan Gao, Chenxi Hu
We quantitatively compared Groupwise-LLR with the Farneback optical flow, a pairwise registration method, and a GLR-based groupwise registration method on simulated and in vivo datasets.
no code implementations • 19 Oct 2023 • Yue Guo, Chenxi Hu, Yi Yang
Temporal data distribution shift is prevalent in the financial text.
no code implementations • 12 Oct 2023 • Chenxi Hu, Yujia Li, Yunhe Hou
To bridge these gaps, we proposed a two-stage risk-informed decision-dependent resilience planning (RIDDRP) for transmission systems against ice storms.
no code implementations • 2 Jul 2022 • Yujia Li, Shunbo Lei, Wei Sun, Chenxi Hu, Yunhe Hou
When performing the resilience enhancement for distribution networks, there are two obstacles to reliably model the uncertain contingencies: 1) decision-dependent uncertainty (DDU) due to various line hardening decisions, and 2) distributional ambiguity due to limited outage information during extreme weather events (EWEs).