Single Image Dehazing via Deep Learning-based Image Restoration. - Chia-Hung Yeh; Chih-Hsiang Huang; Li-Wei Kang; Min-Hui Lin 002 (APSIPA, 2018)

Deep Multi-Scale Residual Learning-based Blocking Artifacts Reduction for Compressed Images. - Min-Hui Lin 002; Chia-Hung Yeh; Chu-Han Lin; Chih-Hsiang Huang; Li-Wei Kang (AICAS, 2019)

Acoustic Indicators of Deception in Mandarin Daily Conversations Recorded from an Interactive Game. - Chih-Hsiang Huang; Huang-Cheng Chou; Yi-Tong Wu; Chi-Chun Lee; Yi-Wen Liu (INTERSPEECH, 2019)

Multi-Scale Deep Residual Learning-Based Single Image Haze Removal via Image Decomposition. - Chia-Hung Yeh; Chih-Hsiang Huang; Li-Wei Kang (IEEE Trans. Image Process., 2020)

Attacking and Defending Behind A Psychoacoustics-Based Captcha. - Chih-Hsiang Huang; Po-Hao Wu; Yi-Wen Liu; Shan-Hung Wu (ICASSP, 2021)

Deep learning-based compressed image artifacts reduction based on multi-scale image fusion. - Chia-Hung Yeh; Chu-Han Lin; Min-Hui Lin 002; Li-Wei Kang; Chih-Hsiang Huang; Mei-Juan Chen (Inf. Fusion, 2021)

Lightweight Deep Neural Network for Joint Learning of Underwater Object Detection and Color Conversion. - Chia-Hung Yeh; Chu-Han Lin; Li-Wei Kang; Chih-Hsiang Huang; Min-Hui Lin 002; Chuan-Yu Chang; Chua-Chin Wang (IEEE Trans. Neural Networks Learn. Syst., 2022)

Design and Implementation of Next-Generation Research Platforms. - Fransiscus Asisi Bimo; Ray-Guang Cheng; Chien-Chao Tseng; Cheng-Rong Chiang; Chih-Hsiang Huang; Xiu-Wei Lin (GLOBECOM (Workshops), 2023)