Yi Chen

Orcid: 0000-0002-4416-554X

Affiliations:
  • Nanyang Technological University, School of Electrical and Electronic Engineering, Centre of Excellence in IC Design (VIRTUS), Singapore


According to our database1, Yi Chen authored at least 14 papers between 2012 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2019
A 2.86-TOPS/W Current Mirror Cross-Bar-Based Machine-Learning and Physical Unclonable Function Engine For Internet-of-Things Applications.
IEEE Trans. Circuits Syst. I Regul. Pap., 2019

A Current Mirror Cross Bar Based 2.86-TOPS/W Machine Learner and PUF with <2.5% BER in 65nm CMOS for IoT Application.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

2018
Current Mirror Array: A Novel Circuit Topology for Combining Physical Unclonable Function and Machine Learning.
IEEE Trans. Circuits Syst. I Regul. Pap., 2018

An Extreme Learning Machine-Based Neuromorphic Tactile Sensing System for Texture Recognition.
IEEE Trans. Biomed. Circuits Syst., 2018

2017
Current mirror array: A novel lightweight strong PUF topology with enhanced reliability.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Cortical motor intention decoding on an analog co-processor with fast training for non-stationary data.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017

A simultaneous neural recording and stimulation system using signal folding in recording circuits.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017

2016
A 0.7 V, 40 nW Compact, Current-Mode Neural Spike Detector in 65 nm CMOS.
IEEE Trans. Biomed. Circuits Syst., 2016

A 128-Channel Extreme Learning Machine-Based Neural Decoder for Brain Machine Interfaces.
IEEE Trans. Biomed. Circuits Syst., 2016

2015
A 128 channel 290 GMACs/W machine learning based co-processor for intention decoding in brain machine interfaces.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

Spike-based tactile pattern recognition using an extreme learning machine.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

2014
A Digitally Assisted, Signal Folding Neural Recording Amplifier.
IEEE Trans. Biomed. Circuits Syst., 2014

2012
A digitally assisted, pseudo-resistor-less amplifier in 65nm CMOS for neural recording applications.
Proceedings of the 55th IEEE International Midwest Symposium on Circuits and Systems, 2012

A signal folding neural amplifier exploiting neural signal statistics.
Proceedings of the 2012 IEEE Biomedical Circuits and Systems Conference, 2012


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