1 code implementation • 26 May 2024 • Hao Hao, Xiaoqun Zhang, Bingdong Li, Aimin Zhou
We employ KANs for regression and classification tasks, focusing on the selection of promising solutions during the search process, which consequently reduces the number of expensive function evaluations.
2 code implementations • 21 Mar 2024 • Hao Hao, Xiaoqun Zhang, Aimin Zhou
Black-box optimization problems, which are common in many real-world applications, require optimization through input-output interactions without access to internal workings.
1 code implementation • 21 Sep 2023 • Hao Hao, Xiaoqun Zhang, Aimin Zhou
Furthermore, the surrogate-selected unevaluated solutions with high potential have been shown to significantly enhance the efficiency of the algorithm.
no code implementations • 26 Aug 2023 • Zhe Xiong, Qiaoqiao Ding, Xiaoqun Zhang
Finding a transformation between two unknown probability distributions from finite samples is crucial for modeling complex data distributions and performing tasks such as sample generation, domain adaptation and statistical inference.
1 code implementation • 17 Apr 2023 • Ziruo Cai, Junqi Tang, Subhadip Mukherjee, Jinglai Li, Carola Bibiane Schönlieb, Xiaoqun Zhang
Bayesian methods for solving inverse problems are a powerful alternative to classical methods since the Bayesian approach offers the ability to quantify the uncertainty in the solution.
no code implementations • 1 May 2022 • Qiaoqiao Ding, Hui Ji, Yuhui Quan, Xiaoqun Zhang
Low-dose CT (LDCT) imaging attracted a considerable interest for the reduction of the object's exposure to X-ray radiation.
1 code implementation • 10 Feb 2022 • Bingxin Zhou, Yuanhong Jiang, Yu Guang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang
The performance of graph representation learning is affected by the quality of graph input.
no code implementations • 10 Feb 2020 • Ren Liu, Xiaoqun Zhang
Neural network has attracted great attention for a long time and many researchers are devoted to improve the effectiveness of neural network training algorithms.
no code implementations • 25 Jan 2017 • Jae Kyu Choi, Bin Dong, Xiaoqun Zhang
Wavelet frame systems are known to be effective in capturing singularities from noisy and degraded images.