IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact Removal. - Chun-Hsiang Chuang; Kong-Yi Chang; Chih-Sheng Huang; Tzyy-Ping Jung (NeuroImage, 2022)

Enhancing EEG Artifact Removal Efficiency by Introducing Dense Skip Connections to IC-U-Net. - Kong-Yi Chang; Yung-Chia Huang; Chun-Hsiang Chuang (EMBC, 2023)

Utilizing Motor-Imagery Brain-Computer Interfaces for the Assessment of Developmental Coordination Disorder in Children. - Kuan-Yi Lee; Kong-Yi Chang; Hao-Che Hsu; Yu-Ting Tseng; Chun-Shu Wei; Shih-Syun Lin; Chun-Hsiang Chuang (EMBC, 2024)

ART: Artifact Removal Transformer for Reconstructing Noise-Free Multichannel Electroencephalographic Signals. - Chun-Hsiang Chuang; Kong-Yi Chang; Chih-Sheng Huang; Anne-Mei Bessas (CoRR, 2024)

Augmenting brain-computer interfaces with ART: An artifact removal transformer for reconstructing multichannel EEG signals. - Chun-Hsiang Chuang; Kong-Yi Chang; Chih-Sheng Huang; Anne-Mei Bessas (NeuroImage, 2025)