Chenyuan Zhao

According to our database, Chenyuan Zhao authored at least 18 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

A 16-Channel High-Voltage ASIC with Programmable Delay Lines for Image-Guided Ultrasound Neuromodulation.

Ardavan Javid, Chenyuan Zhao, Mehdi Kiani

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

2021

Variant center-symmetric census transform for real-time stereo vision architecture on chip.

Chenyuan Zhao, Wenxin Li, Qingxi Zhang

J. Real Time Image Process., 2021

2020

Energy Efficient Temporal Spatial Information Processing Circuits Based on STDP and Spike Iteration.

Chenyuan Zhao, Qiyuan An, Kangjun Bai, Bryant Wysocki, Clare Thiem, Lingjia Liu, Yang Yi

IEEE Trans. Circuits Syst. II Express Briefs, 2020

2019

Prediction of Tourist Flow Based on Deep Belief Network and Echo State Network.

Xu Cheng, Chenyuan Zhao

Rev. d'Intelligence Artif., 2019

Prediction of Tourist Consumption Based on Bayesian Network and Big Data.

Xu Cheng, Chenyuan Zhao

Ingénierie des Systèmes d Inf., 2019

Design and Analysis of Real Time Spiking Neural Network Decoder for Neuromorphic Chips.

Chenyuan Zhao, Lingjia Liu, Yang Yi

Proceedings of the International Conference on Neuromorphic Systems, 2019

2018

Enabling Sustainable Cyber Physical Security Systems through Neuromorphic Computing.

Jialing Li, Lingjia Liu, Chenyuan Zhao, Kian Hamedani, Rachad Atat, Yang Yi

IEEE Trans. Sustain. Comput., 2018

Analog Spike-Timing-Dependent Resistive Crossbar Design for Brain Inspired Computing.

Chenyuan Zhao, Kian Hamedani, Jialing Li, Yang Yi

IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

2017

Interspike-Interval-Based Analog Spike-Time-Dependent Encoder for Neuromorphic Processors.

Chenyuan Zhao, Yang Yi, Jialing Li, Xin Fu, Lingjia Liu

IEEE Trans. Very Large Scale Integr. Syst., 2017

Energy efficient analog spiking temporal encoder with verification and recovery scheme for neuromorphic computing systems.

Chenyuan Zhao, Jialing Li, Hongyu An, Yang Yi

Proceedings of the 18th International Symposium on Quality Electronic Design, 2017

Analog hardware implementation of spike-based delayed feedback reservoir computing system.

Jialing Li, Chenyuan Zhao, Kian Hamedani, Yang Yi

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Energy Efficient Spiking Temporal Encoder Design for Neuromorphic Computing Systems.

Chenyuan Zhao, Bryant T. Wysocki, Clare D. Thiem, Nathan R. McDonald, Jialing Li, Lingjia Liu, Yang Yi

IEEE Trans. Multi Scale Comput. Syst., 2016

Low power CMOS power amplifier design for RFID and the Internet of Things.

Chenyuan Zhao, Jian Liu, Fangyang Shen, Yang Yi

Comput. Electr. Eng., 2016

Novel Spike based Reservoir Node Design with High Performance Spike Delay Loop.

Chenyuan Zhao, Jialing Li, Lingjia Liu, Lakshmi Sravanthi Koutha, Jian Liu, Yang Yi

Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, 2016

Making neural encoding robust and energy efficient: an advanced analog temporal encoder for brain-inspired computing systems.

Chenyuan Zhao, Jialing Li, Yang Yi

Proceedings of the 35th International Conference on Computer-Aided Design, 2016

2015

Spike-Time-Dependent Encoding for Neuromorphic Processors.

Chenyuan Zhao, Bryant T. Wysocki, Yifang Liu, Clare Thiem, Nathan R. McDonald, Yang Yi

ACM J. Emerg. Technol. Comput. Syst., 2015

Neuromorphic encoding system design with chaos based CMOS analog neuron.

Chenyuan Zhao, Wafi Danesh, Bryant T. Wysocki, Yang Yi

Proceedings of the 2015 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2015

Channel estimation in wireless OFDM systems using reservoir computing.

Wafi Danesh, Chenyuan Zhao, Bryant T. Wysocki, Michael J. Medley, Ngwe Thawdar, Yang Yi

Proceedings of the 2015 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2015