A linear regression model with dynamic pulse transit time features for noninvasive blood pressure prediction. - Yi-Yen Hsieh; Ching-Da Wu; Shey-Shi Lu; Yu Tsao 001 (BioCAS, 2016)

A cuffless wearable system for real-time cutaneous pressure monitoring with cloud computing assistance. - Kun-Ying Yeh; Ting-Hao Lin; Yi-Yen Hsieh; Chia-Ming Chang; Yao-Joe Yang; Shey-Shi Lu (VLSI-DAT, 2018)

Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders. - Hsin-Tien Chiang; Yi-Yen Hsieh; Szu-Wei Fu; Kuo-Hsuan Hung; Yu Tsao 001; Shao-Yi Chien (IEEE Access, 2019)

A CycleGAN Accelerator for Unsupervised Learning on Mobile Devices. - Yi-Yen Hsieh; Yu-Chi Lee; Chia-Hsiang Yang (ISCAS, 2020)

Speech Enhancement based on Denoising Autoencoder with Multi-branched Encoders. - Cheng Yu; Ryandhimas E. Zezario; Jonathan Sherman; Yi-Yen Hsieh; Xugang Lu; Hsin-Min Wang; Yu Tsao 001 (CoRR, 2020)

Speech Enhancement Based on Denoising Autoencoder With Multi-Branched Encoders. - Cheng Yu; Ryandhimas E. Zezario; Syu-Siang Wang; Jonathan Sherman; Yi-Yen Hsieh; Xugang Lu; Hsin-Min Wang; Yu Tsao 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Design optimization for ADMM-Based SVM Training Processor for Edge Computing. - Shuo-An Huang; Yi-Yen Hsieh; Chia-Hsiang Yang (AICAS, 2021)

A 96.2nJ/class Neural Signal Processor with Adaptable Intelligence for Seizure Prediction. - Yi-Yen Hsieh; Yu-Cheng Lin; Chia-Hsiang Yang (ISSCC, 2022)

Hardware Acceleration in Large-Scale Tensor Decomposition for Neural Network Compression. - Chen-Chien Kao; Yi-Yen Hsieh; Chao-Hung Chen; Chia-Hsiang Yang (MWSCAS, 2022)

A 96.2-nJ/class Neural Signal Processor With Adaptable Intelligence for Seizure Prediction. - Yi-Yen Hsieh; Yu-Cheng Lin; Chia-Hsiang Yang (IEEE J. Solid State Circuits, 2023)

A 73.8k-Inference/mJ SVM Learning Accelerator for Brain Pattern Recognition. - Tzu-Wei Tong; Tai-Jung Chen; Yi-Yen Hsieh; Chia-Hsiang Yang (IEEE J. Solid State Circuits, 2024)