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2020 – today
- 2024
[j4]Tzu-Wei Tong, Tai-Jung Chen
, Yi-Yen Hsieh, Chia-Hsiang Yang:
A 73.8k-Inference/mJ SVM Learning Accelerator for Brain Pattern Recognition. IEEE J. Solid State Circuits 59(10): 3357-3365 (2024)- 2023
- [j3]Yi-Yen Hsieh, Yu-Cheng Lin, Chia-Hsiang Yang:
A 96.2-nJ/class Neural Signal Processor With Adaptable Intelligence for Seizure Prediction. IEEE J. Solid State Circuits 58(1): 167-176 (2023) - [c7]Tzu-Wei Tong, Yi-Yen Hsieh, Tai-Jung Chen, Chia-Hsiang Yang:
A 73.8K Inference/mJ SVM Learning Accelerator for Brain Pattern Recognition. A-SSCC 2023: 1-3 - 2022
- [c6]Yi-Yen Hsieh, Yu-Cheng Lin, Chia-Hsiang Yang:
A 96.2nJ/class Neural Signal Processor with Adaptable Intelligence for Seizure Prediction. ISSCC 2022: 1-3 - [c5]Chen-Chien Kao, Yi-Yen Hsieh, Chao-Hung Chen, Chia-Hsiang Yang:
Hardware Acceleration in Large-Scale Tensor Decomposition for Neural Network Compression. MWSCAS 2022: 1-4 - 2021
- [c4]Shuo-An Huang, Yi-Yen Hsieh, Chia-Hsiang Yang:
Design optimization for ADMM-Based SVM Training Processor for Edge Computing. AICAS 2021: 1-5 - 2020
- [j2]Cheng Yu, Ryandhimas E. Zezario, Syu-Siang Wang, Jonathan Sherman, Yi-Yen Hsieh, Xugang Lu, Hsin-Min Wang, Yu Tsao:
Speech Enhancement Based on Denoising Autoencoder With Multi-Branched Encoders. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2756-2769 (2020) - [c3]Yi-Yen Hsieh, Yu-Chi Lee, Chia-Hsiang Yang:
A CycleGAN Accelerator for Unsupervised Learning on Mobile Devices. ISCAS 2020: 1-5 - [i1]Cheng Yu, Ryandhimas E. Zezario, Jonathan Sherman, Yi-Yen Hsieh, Xugang Lu, Hsin-Min Wang, Yu Tsao:
Speech Enhancement based on Denoising Autoencoder with Multi-branched Encoders. CoRR abs/2001.01538 (2020)
2010 – 2019
- 2019
- [j1]Hsin-Tien Chiang, Yi-Yen Hsieh, Szu-Wei Fu, Kuo-Hsuan Hung, Yu Tsao, Shao-Yi Chien:
Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders. IEEE Access 7: 60806-60813 (2019) - 2018
- [c2]Kun-Ying Yeh, Ting-Hao Lin, Yi-Yen Hsieh, Chia-Ming Chang, Yao-Joe Yang, Shey-Shi Lu:
A cuffless wearable system for real-time cutaneous pressure monitoring with cloud computing assistance. VLSI-DAT 2018: 1-4 - 2016
- [c1]Yi-Yen Hsieh, Ching-Da Wu, Shey-Shi Lu, Yu Tsao:
A linear regression model with dynamic pulse transit time features for noninvasive blood pressure prediction. BioCAS 2016: 604-607
Coauthor Index
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