Hung-Yi Hsieh

Publication Activity (10 Years)

Years Active: 2006-2020
Publications (10 Years): 7

Top Topics

Quantization Noise

Biologically Plausible

Delta Sigma Modulators

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Very Large Scale Integr. Syst.

Publications

Su-Hao Wu, Yun-Shiang Shu, Albert Yen-Chih Chiou, Wei-Hsiang Huang, Zhi-Xin Chen, Hung-Yi Hsieh
9.1 A Current-Sensing Front-End Realized by A Continuous-Time Incremental ADC with 12b SAR Quantizer and Reset-Then-Open Resistive DAC Achieving 140dB DR and 8ppm INL at 4kS/s. ISSCC (2020)
Yun-Shiang Shu, Zhi-Xin Chen, Yu-Hong Lin, Su-Hao Wu, Wei-Hsiang Huang, Albert Yen-Chih Chiou, Chang-Yang Huang, Hung-Yi Hsieh, Fan-Wei Liao, Teng-Feng Zou, Ping Chen
Multimodal Biosensing SoC for PPG, ECG, BIOZ and GSR Acquisition in Consumer Wearable Devices. ISSCC (2020)
Tien-Yu Lo, Chan-Hsiang Weng, Hung-Yi Hsieh, Yun-Shiang Shu, Pao-Cheng Chiu
An 8 × - OSR 25MHz-BW 79.4dB/74dB DR/SNDR CT Δ σ Modulator Using 7b Linearized Segmented DACs with Digital Noise-Coupling-Compensation Filter in 7nm FinFET CMOS. ISSCC (2019)
Chan-Hsiang Weng, Tzu-An Wei, Hung-Yi Hsieh, Su-Hao Wu, Ting-Yang Wang
A 71. 4dB SNDR 30MHz BW Continuous-Time Delta-sigma Modulator Using a Time-Interleaved Noise-Shaping Quantizer in 12-nm CMOS. VLSI Circuits (2019)
Hung-Yi Hsieh, Pin-Yi Li, Cheng-Han Yang, Kea-Tiong Tang
A high learning capability probabilistic spiking neural network chip. VLSI-DAT (2018)
Hung-Yi Hsieh, Pin-Yi Li, Kea-Tiong Tang
An Analog Probabilistic Spiking Neural Network with On-Chip Learning. ICONIP (6) (2017)
Wei-Sheng Ding, Hung-Yi Hsieh, Cheng-Yu Han, James Chien-Mo Li, Xiaoqing Wen
Test Pattern Modification for Average IR-Drop Reduction. IEEE Trans. Very Large Scale Integr. Syst. 24 (1) (2016)
Ming-Hong Tsai, Wei-Sheng Ding, Hung-Yi Hsieh, James Chien-Mo Li
Transient IR-Drop Analysis for At-Speed Testing Using Representative Random Walk. IEEE Trans. Very Large Scale Integr. Syst. 22 (9) (2014)
Chih-Heng Pan, Hung-Yi Hsieh, Kea-Tiong Tang
An Analog Multilayer Perceptron Neural Network for a Portable Electronic Nose. Sensors 13 (1) (2013)
Hung-Yi Hsieh, Kea-Tiong Tang
Hardware Friendly Probabilistic Spiking Neural Network With Long-Term and Short-Term Plasticity. IEEE Trans. Neural Networks Learn. Syst. 24 (12) (2013)
Hung-Yi Hsieh, Kea-Tiong Tang
An on-chip learning, low-power probabilistic spiking neural network with long-term memory. BioCAS (2013)
Hung-Yi Hsieh, Kea-Tiong Tang
VLSI Implementation of a Bio-Inspired Olfactory Spiking Neural Network. IEEE Trans. Neural Networks Learn. Syst. 23 (7) (2012)
Hung-Yi Hsieh, Kea-Tiong Tang
A spiking neural network chip for odor data classification. APCCAS (2012)
Hung-Yi Hsieh, Shih-Wen Chiu, Kea-Tiong Tang
Live demonstration: A smart portable electronic nose system for fruity odors identification. BioCAS (2012)
Hung-Yi Hsieh, Kea-Tiong Tang, Zen-Huan Tsai, Hsin Chen
A low-power, high-resolution WTA utilizing translinear-loop pre-amplifier. IJCNN (2010)
Kea-Tiong Tang, Shih-Wen Chiu, Chih-Heng Pan, Hung-Yi Hsieh, Yao-Sheng Liang, Szu-Chieh Liu
Development of a Portable Electronic Nose System for the Detection and Classification of Fruity Odors. Sensors 10 (10) (2010)
Kea-Tiong Tang, Hung-Yi Hsieh, Chih-Heng Pan, Jyuo-Min Shyu, Yi-Shan Lin
A Portable Electronic Nose System that Can Detect Fruity Odors. ISCAS (2009)
Chin-Teng Lin, Yu-Chieh Chen, Teng-Yi Huang, Tien-Ting Chiu, Li-Wei Ko, Sheng-Fu Liang, Hung-Yi Hsieh, Shang Hwa Hsu, Jeng-Ren Duann
Development of Wireless Brain Computer Interface With Embedded Multitask Scheduling and its Application on Real-Time Driver's Drowsiness Detection and Warning. IEEE Trans. Biomed. Eng. 55 (5) (2008)
Chin-Teng Lin, Hung-Yi Hsieh, Sheng-Fu Liang, Yu-Chieh Chen, Li-Wei Ko
Development of a Wireless Embedded Brain - Computer Interface and Its Application on Drowsiness Detection and Warning. HCI (13) (2007)
Hung-Yi Hsieh, Sheng-Fu Liang, Li-Wei Ko, May Lin, Chin-Teng Lin
Development of a Real-Time Wireless Embedded Brain Signal Acquisition/Processing System and its Application on Driver's Drowsiness Estimation. SMC (2006)