Future home design: an emotional communication channel approach to smart space. - Yu-Chun Huang; Kuan-Ying Wu; Yu-Tung Liu (Pers. Ubiquitous Comput., 2013)

Low-Complexity LSTM Training and Inference with FloatSD8 Weight Representation. - Yu-Tung Liu; Tzi-Dar Chiueh (CoRR, 2020)

A 1.625 TOPS/W SOC for Deep CNN Training and Inference in 28nm CMOS. - Yu-Tung Liu; ChuKing Kung; Ming-Hang Hsieh; Hsiu-Wen Wang; Chun-Pin Lin; Chao-Yang Yu; Chi-Shi Chen; Tzi-Dar Chiueh (ESSDERC, 2021)

A Multiplier-Less Convolutional Neural Network Inference Accelerator for Intelligent Edge Devices. - Ming-Hang Hsieh; Yu-Tung Liu; Tzi-Dar Chiueh (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

Design and Implementation of an Easy-to-Deploy Energy-Efficient Inference Acceleration System for Multi-Precision Neural Networks. - Pi-Chuan Chen; Yu-Tung Liu; Guo-Yang Zeng; Tzi-Dar Chiueh (AICAS, 2024)

SDEMG: Score-Based Diffusion Model for Surface Electromyographic Signal Denoising. - Yu-Tung Liu; Kuan-Chen Wang; Kai-Chun Liu; Sheng-Yu Peng; Yu Tsao 001 (ICASSP, 2024)

CFIRSTNET: Comprehensive Features for Static IR Drop Estimation with Neural Network. - Yu-Tung Liu; Yu-Hao Cheng; Shao-Yu Wu; Hung-Ming Chen (ICCAD, 2024)

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network. - Yu-Tung Liu; Kuan-Chen Wang; Rong Chao; Sabato Marco Siniscalchi; Ping-Cheng Yeh; Yu Tsao 001 (ICASSP, 2025)

GIRD: A Green IR-Drop Estimation Method. - Chee-An Yu; Yu-Tung Liu; Yu-Hao Cheng; Shao-Yu Wu; Hung-Ming Chen; C.-C. Jay Kuo (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)