Yu-Tung Liu

14 papers A 1Misc 2Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
CFIRSTNET: Comprehensive Features for Static IR Drop Estimation with Neural Network.
CoRR
Yu-Tung Liu, Yu-Hao Cheng, Shao-Yu Wu, Hung-Ming Chen
2025 J jnl
GIRD: A Green IR-Drop Estimation Method.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Chee-An Yu, Yu-Tung Liu, Yu-Hao Cheng, Shao-Yu Wu, Hung-Ming Chen, C.-C. Jay Kuo
2025 Misc conf
MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network.
ICASSP
Yu-Tung Liu, Kuan-Chen Wang, Rong Chao, Sabato Marco Siniscalchi, Ping-Cheng Yeh, Yu Tsao
2025 J jnl
Robust Photoplethysmography Signal Denoising via Mamba Networks.
CoRR
I Chiu, Yu-Tung Liu, Kuan-Chen Wang, Hung-Yu Wei, Yu Tsao
2024 A conf
CFIRSTNET: Comprehensive Features for Static IR Drop Estimation with Neural Network.
ICCAD
Yu-Tung Liu, Yu-Hao Cheng, Shao-Yu Wu, Hung-Ming Chen
2024 — conf
Design and Implementation of an Easy-to-Deploy Energy-Efficient Inference Acceleration System for Multi-Precision Neural Networks.
AICAS
Pi-Chuan Chen, Yu-Tung Liu, Guo-Yang Zeng, Tzi-Dar Chiueh
2024 J jnl
MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network.
CoRR
Yu-Tung Liu, Kuan-Chen Wang, Rong Chao, Sabato Marco Siniscalchi, Ping-Cheng Yeh, Yu Tsao
2024 Misc conf
SDEMG: Score-Based Diffusion Model for Surface Electromyographic Signal Denoising.
ICASSP
Yu-Tung Liu, Kuan-Chen Wang, Kai-Chun Liu, Sheng-Yu Peng, Yu Tsao
2024 J jnl
SDEMG: Score-based Diffusion Model for Surface Electromyographic Signal Denoising.
CoRR
Yu-Tung Liu, Kuan-Chen Wang, Kai-Chun Liu, Sheng-Yu Peng, Yu Tsao
2021 — conf
A 1.625 TOPS/W SOC for Deep CNN Training and Inference in 28nm CMOS.
ESSCIRC
Yu-Tung Liu, Chuking Kung, Ming-Hang Hsieh, Hsiu-Wen Wang, Chun-Pin Lin, Chao-Yang Yu, Chi-Shi Chen, Tzi-Dar Chiueh
2021 — conf
A 1.625 TOPS/W SOC for Deep CNN Training and Inference in 28nm CMOS.
ESSDERC
Yu-Tung Liu, Chuking Kung, Ming-Hang Hsieh, Hsiu-Wen Wang, Chun-Pin Lin, Chao-Yang Yu, Chi-Shi Chen, Tzi-Dar Chiueh
2021 J jnl
A Multiplier-Less Convolutional Neural Network Inference Accelerator for Intelligent Edge Devices.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Ming-Hang Hsieh, Yu-Tung Liu, Tzi-Dar Chiueh
2020 J jnl
Low-Complexity LSTM Training and Inference with FloatSD8 Weight Representation.
CoRR
Yu-Tung Liu, Tzi-Dar Chiueh
2013 J jnl
Future home design: an emotional communication channel approach to smart space.
Pers. Ubiquitous Comput.
Yu-Chun Huang, Kuan-Ying Wu, Yu-Tung Liu