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2020 – today
- 2022
[c8]Ardavan Javid
, Chenyuan Zhao, Mehdi Kiani:
A 16-Channel High-Voltage ASIC with Programmable Delay Lines for Image-Guided Ultrasound Neuromodulation. BioCAS 2022: 419-423- 2021
- [j10]Chenyuan Zhao, Wenxin Li, Qingxi Zhang:
Variant center-symmetric census transform for real-time stereo vision architecture on chip. J. Real Time Image Process. 18(6): 2073-2083 (2021) - 2020
- [j9]Chenyuan Zhao, Qiyuan An, Kangjun Bai, Bryant Wysocki, Clare Thiem, Lingjia Liu, Yang Yi:
Energy Efficient Temporal Spatial Information Processing Circuits Based on STDP and Spike Iteration. IEEE Trans. Circuits Syst. II Express Briefs 67-II(10): 1715-1719 (2020)
2010 – 2019
- 2019
- [j8]Xu Cheng, Chenyuan Zhao:
Prediction of Tourist Consumption Based on Bayesian Network and Big Data. Ingénierie des Systèmes d Inf. 24(5): 491-496 (2019) - [j7]Xu Cheng, Chenyuan Zhao:
Prediction of Tourist Flow Based on Deep Belief Network and Echo State Network. Rev. d'Intelligence Artif. 33(4): 275-281 (2019) - [c7]Chenyuan Zhao, Lingjia Liu, Yang Yi:
Design and Analysis of Real Time Spiking Neural Network Decoder for Neuromorphic Chips. ICONS 2019: 15:1-15:4 - 2018
- [j6]Chenyuan Zhao, Kian Hamedani, Jialing Li, Yang Yi:
Analog Spike-Timing-Dependent Resistive Crossbar Design for Brain Inspired Computing. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(1): 38-50 (2018) - [j5]Jialing Li, Lingjia Liu, Chenyuan Zhao, Kian Hamedani, Rachad Atat, Yang Yi:
Enabling Sustainable Cyber Physical Security Systems through Neuromorphic Computing. IEEE Trans. Sustain. Comput. 3(2): 112-125 (2018) - 2017
- [j4]Chenyuan Zhao, Yang Yi, Jialing Li, Xin Fu, Lingjia Liu:
Interspike-Interval-Based Analog Spike-Time-Dependent Encoder for Neuromorphic Processors. IEEE Trans. Very Large Scale Integr. Syst. 25(8): 2193-2205 (2017) - [c6]Jialing Li, Chenyuan Zhao, Kian Hamedani, Yang Yi:
Analog hardware implementation of spike-based delayed feedback reservoir computing system. IJCNN 2017: 3439-3446 - [c5]Chenyuan Zhao, Jialing Li, Hongyu An, Yang Yi:
Energy efficient analog spiking temporal encoder with verification and recovery scheme for neuromorphic computing systems. ISQED 2017: 138-143 - 2016
- [j3]Chenyuan Zhao, Jian Liu, Fangyang Shen, Yang Yi:
Low power CMOS power amplifier design for RFID and the Internet of Things. Comput. Electr. Eng. 52: 157-170 (2016) - [j2]Chenyuan Zhao, Bryant T. Wysocki, Clare D. Thiem, Nathan R. McDonald, Jialing Li, Lingjia Liu, Yang Yi:
Energy Efficient Spiking Temporal Encoder Design for Neuromorphic Computing Systems. IEEE Trans. Multi Scale Comput. Syst. 2(4): 265-276 (2016) - [c4]Chenyuan Zhao, Jialing Li, Yang Yi:
Making neural encoding robust and energy efficient: an advanced analog temporal encoder for brain-inspired computing systems. ICCAD 2016: 115 - [c3]Chenyuan Zhao, Jialing Li, Lingjia Liu, Lakshmi Sravanthi Koutha, Jian Liu, Yang Yi:
Novel Spike based Reservoir Node Design with High Performance Spike Delay Loop. NANOCOM 2016: 14:1-14:5 - 2015
- [j1]Chenyuan Zhao, Bryant T. Wysocki, Yifang Liu, Clare Thiem, Nathan R. McDonald, Yang Yi:
Spike-Time-Dependent Encoding for Neuromorphic Processors. ACM J. Emerg. Technol. Comput. Syst. 12(3): 23:1-23:21 (2015) - [c2]Wafi Danesh, Chenyuan Zhao, Bryant T. Wysocki, Michael J. Medley, Ngwe Thawdar, Yang Yi:
Channel estimation in wireless OFDM systems using reservoir computing. CISDA 2015: 1-5 - [c1]Chenyuan Zhao, Wafi Danesh, Bryant T. Wysocki, Yang Yi:
Neuromorphic encoding system design with chaos based CMOS analog neuron. CISDA 2015: 1-6
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