no code implementations • 22 Nov 2023 • Weiwei Li, Xing Liu, Wei Wang, Lu Chen, Sizhe Li, Hui Fan
To address the challenge of identifying hidden danger in substations from unstructured text, a novel dynamic analysis method is proposed.
no code implementations • 12 Oct 2023 • Qiang Li, Dan Zhang, Shengzhao Lei, Xun Zhao, Porawit Kamnoedboon, Weiwei Li, Junhao Dong, Shuyan Li
Despite the promising performance of existing visual models on public benchmarks, the critical assessment of their robustness for real-world applications remains an ongoing challenge.
no code implementations • 10 Apr 2023 • Weiwei Li, Dejian Tian
The paper investigates the robust optimized certainty equivalents and analyzes the relevant properties of them as risk measures for loss positions with distribution uncertainty.
no code implementations • 5 Nov 2021 • Han Wu, Sarah Tan, Weiwei Li, Mia Garrard, Adam Obeng, Drew Dimmery, Shaun Singh, Hanson Wang, Daniel Jiang, Eytan Bakshy
Black-box heterogeneous treatment effect (HTE) models are increasingly being used to create personalized policies that assign individuals to their optimal treatments.
no code implementations • 16 Aug 2021 • Weiwei Li, Mostafa Rahmani, Ping Li
It is shown that in contrast to most of the existing methods which require the subspaces to be sufficiently incoherent with each other, Innovation Pursuit only requires the innovative components of the subspaces to be sufficiently incoherent with each other.
no code implementations • 4 Oct 2019 • Weiwei Li, Jan Hannig, Corbin Jones
Structural variants compose the majority of human genetic variation, but are difficult to assess using current genomic sequencing technologies.
1 code implementation • 15 Nov 2018 • Weiwei Li, Jan Hannig, Sayan Mukherjee
The problem of dimension reduction is of increasing importance in modern data analysis.