Search Results for author: Yuan Chang

Found 5 papers, 0 papers with code

Semi-KAN: KAN Provides an Effective Representation for Semi-Supervised Learning in Medical Image Segmentation

no code implementations19 Mar 2025 Zanting Ye, Xiaolong Niu, Xuanbin Wu, Wenxiang Yi, Yuan Chang, Lijun Lu

Inspired by Kolmogorov-Arnold Networks (KANs), we propose Semi-KAN, which leverages the untapped potential of KANs to enhance backbone architectures for representation learning in SSMIS.

Image Segmentation Kolmogorov-Arnold Networks +3

Counterexamples to "Transitive Regret"

no code implementations14 Jun 2024 Yuan Chang, Shuo Li Liu

Theorem 1 in Bikhchandani & Segal (2011; Theoretical Economics) suggests that a complete, transitive, monotonic, and continuous preference is regret based if and only if it is expected utility.

EMLight: Lighting Estimation via Spherical Distribution Approximation

no code implementations21 Dec 2020 Fangneng Zhan, Changgong Zhang, Yingchen Yu, Yuan Chang, Shijian Lu, Feiying Ma, Xuansong Xie

Motivated by the Earth Mover distance, we design a novel spherical mover's loss that guides to regress light distribution parameters accurately by taking advantage of the subtleties of spherical distribution.

Lighting Estimation regression

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