Coupled Adversarial Learning for Single Image Super-Resolution. - Chih-Chung Hsu; Kuan-Yu Huang (SAM, 2020)

A low-complexity learning-based algorithm for joint application of demosaicking and up-scaling. - Kuan-Yu Huang; Pei-Yin Chen; Ching-Ching Huang (ICS, 2020)

Diagnosis of Defective Rotor Bars in Induction Motors. - Chun-Yao Lee; Kuan-Yu Huang; Lai-Yu Jen; Guang-Lin Zhuo (Symmetry, 2020)

A Low-Cost Hardware Design of Learning-Based One-Dimensional Interpolation for Real-Time Video Applications at the Edge. - Yeu-Horng Shiau; Kuan-Yu Huang; Pei-Yin Chen; Cho-Yu Kuo (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

2DAN-BNN: Two-Dimensional AN-Code Decoders for Binarized Neural Networks. - Kuan-Yu Huang; Jettae Schroff; Cheng-Di Tsai; Tsung-Chu Huang (ICCE-TW, 2022)

A Cost-Effective Interpolation for Multi-Magnification Super-Resolution. - Kuan-Yu Huang; Suraj Pramanik; Pei-Yin Chen (IEEE Access, 2022)

Electricity Management Policy Applying Data Science and Machine Learning Techniques to Improve Electricity Costs. - Chun-Yao Lee; Kuan-Yu Huang; Chun-Chi Chen; Guang-Lin Zhuo; Maickel Tuegeh (Symmetry, 2022)

TMSR: Tiny Multi-path CNNs for Super Resolution. - Chia-Hung Liu; Tzu-Hsin Hsieh; Kuan-Yu Huang; Pei-Yin Chen (CoRR, 2023)