Concepedia

Yingyezhe Jin

YJ

10

Publications

487

Citations

10

H-Index

2015

Active since

Affiliations

Texas A&M University(Current)

Georgia Institute of Technology

Yingyezhe Jin is an author at Texas A&M University specializing in engineering, computer engineering, and computational neuroscience.

Top concepts

EngineeringComputer EngineeringComputer ScienceComputational NeuroscienceNeuroscienceSocial SciencesSpiking Neural NetworksNeuromorphic EngineeringDeep LearningReservoir Computing

Publications per year

2015–2021

10

Publications

10

A Digital Liquid State Machine With Biologically Inspired Learning and Its Application to Speech Recognition

Yong Zhang, Peng Li, Yingyezhe Jin et al. · IEEE Transactions on Neural Networks and Learning Systems · 2015 · 174 citations

Artificial Intelligence, Engineering, Machine Learning +20

Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking\n Neural Networks

Yingyezhe Jin, Wenrui Zhang, Peng Li · arXiv (Cornell University) · 2018 · 116 citations · Full text

Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks

Yingyezhe Jin, Wenrui Zhang, Peng Li · arXiv (Cornell University) · 2018 · 43 citations · Full text

Engineering, Sensory Neuroscience, Computational Neuroscience +15

General-purpose LSM learning processor architecture and theoretically guided design space exploration

Qian Wang, Yingyezhe Jin, Peng Li · 2015 · 36 citations

Artificial Intelligence, Engineering, Machine Learning +23

Performance and robustness of bio-inspired digital liquid state machines: A case study of speech recognition

Yingyezhe Jin, Peng Li · Neurocomputing · 2016 · 32 citations

Engineering, Machine Systems, Soft Robotics +9

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