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Guangzhi Tang

About Guangzhi Tang

Guangzhi Tang, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Rutgers, The State University of New Jersey, specializes in the field of Edge AI, Robotics, Neuromorphic Computing, Brain-inspired Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration

SENECA: Building a fully digital neuromorphic processor, design trade-offs and challenges

Empirical study on the efficiency of Spiking Neural Networks with axonal delays, and algorithm-hardware benchmarking

Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking

Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design

Benchmarking of Hardware-efficient Real-time Neural Decoding in Brain-computer Interfaces

Biologically Inspired Spiking Neural Networks for Energy-Efficient Robot Learning and Control

Decoding EEG With Spiking Neural Networks on Neuromorphic Hardware

Guangzhi Tang Information

University

Position

PhD CandidateDepartment of Computer Science

Citations(all)

320

Citations(since 2020)

318

Cited By

56

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Guangzhi Tang Skills & Research Interests

Edge AI

Robotics

Neuromorphic Computing

Brain-inspired Computing

Top articles of Guangzhi Tang

Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration

Frontiers in Neuroscience

2024/3/28

Prithvish Nembhani
Prithvish Nembhani

H-Index: 1

Anteneh Gebregiorgis
Anteneh Gebregiorgis

H-Index: 7

Said Hamdioui
Said Hamdioui

H-Index: 24

Paul Detterer
Paul Detterer

H-Index: 2

Kanishkan Vadivel
Kanishkan Vadivel

H-Index: 3

Guangzhi Tang
Guangzhi Tang

H-Index: 5

SENECA: Building a fully digital neuromorphic processor, design trade-offs and challenges

Frontiers in Neuroscience

2023/6/23

Guangzhi Tang
Guangzhi Tang

H-Index: 5

Kanishkan Vadivel
Kanishkan Vadivel

H-Index: 3

Paul Detterer
Paul Detterer

H-Index: 2

Empirical study on the efficiency of Spiking Neural Networks with axonal delays, and algorithm-hardware benchmarking

2023/5/21

Guangzhi Tang
Guangzhi Tang

H-Index: 5

Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking

arXiv preprint arXiv:2304.04640

2023/4/10

Soikat Hasan Ahmed
Soikat Hasan Ahmed

H-Index: 2

Brian Anderson
Brian Anderson

H-Index: 8

Arindam Basu
Arindam Basu

H-Index: 23

Gert Cauwenberghs
Gert Cauwenberghs

H-Index: 36

Guido De Croon
Guido De Croon

H-Index: 26

Jeremy Forest
Jeremy Forest

H-Index: 5

Steve Furber
Steve Furber

H-Index: 31

Giacomo Indiveri
Giacomo Indiveri

H-Index: 33

Siddharth Joshi
Siddharth Joshi

H-Index: 4

Lyes Khacef
Lyes Khacef

H-Index: 6

Laura Kriener
Laura Kriener

H-Index: 4

Rajkumar Kubendran
Rajkumar Kubendran

H-Index: 5

Rajit Manohar
Rajit Manohar

H-Index: 20

Christian Mayr
Christian Mayr

H-Index: 18

Emre Neftci
Emre Neftci

H-Index: 18

Thomas Nowotny
Thomas Nowotny

H-Index: 19

Fabrizio Ottati
Fabrizio Ottati

H-Index: 1

Priyadarshini Panda
Priyadarshini Panda

H-Index: 21

Melika Payvand
Melika Payvand

H-Index: 11

Christian Pehle
Christian Pehle

H-Index: 6

Alpha Renner
Alpha Renner

H-Index: 5

Clemens Js Schaefer
Clemens Js Schaefer

H-Index: 2

Johannes Schemmel
Johannes Schemmel

H-Index: 22

Jae-Sun Seo
Jae-Sun Seo

H-Index: 27

Kenneth Stewart
Kenneth Stewart

H-Index: 7

Terrence C Stewart
Terrence C Stewart

H-Index: 21

Guangzhi Tang
Guangzhi Tang

H-Index: 5

Jonathan Timcheck
Jonathan Timcheck

H-Index: 1

Marian Verhelst
Marian Verhelst

H-Index: 25

Bernhard Vogginger
Bernhard Vogginger

H-Index: 10

Charlotte Frenkel
Charlotte Frenkel

H-Index: 8

Vijay Janapa Reddi
Vijay Janapa Reddi

H-Index: 29

Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design

2023/3/27

Guangzhi Tang
Guangzhi Tang

H-Index: 5

Paul Detterer
Paul Detterer

H-Index: 2

Benchmarking of Hardware-efficient Real-time Neural Decoding in Brain-computer Interfaces

Preprint

2023

Guangzhi Tang
Guangzhi Tang

H-Index: 5

Nergis Tomen
Nergis Tomen

H-Index: 2

Biologically Inspired Spiking Neural Networks for Energy-Efficient Robot Learning and Control

2022

Guangzhi Tang
Guangzhi Tang

H-Index: 5

Decoding EEG With Spiking Neural Networks on Neuromorphic Hardware

Transactions on Machine Learning Research (TMLR)

2022/6/25

Neelesh Kumar
Neelesh Kumar

H-Index: 2

Guangzhi Tang
Guangzhi Tang

H-Index: 5

A Spiking Neural Network Mimics the Oculomotor System to Control a Biomimetic Robotic Head without Learning on a Neuromorphic Hardware

IEEE Transactions on Medical Robotics and Bionics

2022/2/28

Guangzhi Tang
Guangzhi Tang

H-Index: 5

Biograd: biologically plausible gradient-based learning for spiking neural networks

arXiv preprint arXiv:2110.14092

2021/10/27

Guangzhi Tang
Guangzhi Tang

H-Index: 5

Neelesh Kumar
Neelesh Kumar

H-Index: 2

Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control

2021/10/4

Guangzhi Tang
Guangzhi Tang

H-Index: 5

Neelesh Kumar
Neelesh Kumar

H-Index: 2

An Astrocyte-Modulated Neuromorphic Central Pattern Generator for Hexapod Robot Locomotion on Intel’s Loihi

2020/7/28

Guangzhi Tang
Guangzhi Tang

H-Index: 5

Real-time Mapping on a Neuromorphic Processor

2020/3/17

Guangzhi Tang
Guangzhi Tang

H-Index: 5

See List of Professors in Guangzhi Tang University(Rutgers, The State University of New Jersey)

Co-Authors

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