Guangzhi Tang

According to our database, Guangzhi Tang authored at least 12 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.

Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi

CoRR, 2023

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

Guangzhi Tang, Ali Safa, Kevin Shidqi, Paul Detterer, Stefano Traferro, Mario Konijnenburg, Manolis Sifalakis, Gert-Jan van Schaik, Amirreza Yousefzadeh

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

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

Alberto Patiño-Saucedo, Amirreza Yousefzadeh, Guangzhi Tang, Federico Corradi, Bernabé Linares-Barranco, Manolis Sifalakis

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2022

Decoding EEG With Spiking Neural Networks on Neuromorphic Hardware.

Neelesh Kumar, Guangzhi Tang, Raymond Yoo, Konstantinos P. Michmizos

Trans. Mach. Learn. Res., 2022

2021

BioGrad: Biologically Plausible Gradient-Based Learning for Spiking Neural Networks.

Guangzhi Tang, Neelesh Kumar, Ioannis Polykretis, Konstantinos P. Michmizos

CoRR, 2021

2020

Real-time Mapping on a Neuromorphic Processor.

Guangzhi Tang, Konstantinos P. Michmizos

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware.

Guangzhi Tang, Neelesh Kumar, Konstantinos P. Michmizos

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

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

Ioannis Polykretis, Guangzhi Tang, Konstantinos P. Michmizos

Proceedings of the International Conference on Neuromorphic Systems, 2020

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

Guangzhi Tang, Neelesh Kumar, Raymond Yoo, Konstantinos P. Michmizos

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Introducing Astrocytes on a Neuromorphic Processor: Synchronization, Local Plasticity and Edge of Chaos.

Guangzhi Tang, Ioannis E. Polykretis, Vladimir A. Ivanov, Arpit Shah, Konstantinos P. Michmizos

CoRR, 2019

Spiking Neural Network on Neuromorphic Hardware for Energy-Efficient Unidimensional SLAM.

Guangzhi Tang, Arpit Shah, Konstantinos P. Michmizos

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Gridbot: An autonomous robot controlled by a Spiking Neural Network mimicking the brain's navigational system.

Guangzhi Tang, Konstantinos P. Michmizos

CoRR, 2018