Guangzhi Tang

According to our database, Guangzhi Tang authored at least 30 papers between 2018 and 2025.

Collaborative distances:

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

2025

Context-aware Sparse Spatiotemporal Learning for Event-based Vision.

Shenqi Wang, Guangzhi Tang

CoRR, August, 2025

A Segmented Robot Grasping Perception Neural Network for Edge AI.

Casper Bröcheler, Thomas Vroom, Derrick Timmermans, Alan van den Akker, Guangzhi Tang, Charalampos S. Kouzinopoulos, Rico Mockel

CoRR, July, 2025

SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems.

Prithvish Nembhani, Oliver Rhodes, Guangzhi Tang, Alexandra F. Dobrita, Yingfu Xu, Kanishkan Vadivel, Kevin Shidqi, Paul Detterer, Mario Konijnenburg, Gert-Jan van Schaik, Manolis Sifalakis, Zaid Al-Ars, Amirreza Yousefzadeh

CoRR, June, 2025

Adaptively Pruned Spiking Neural Networks for Energy-Efficient Intracortical Neural Decoding.

Francesca Rivelli, Martin Popov, Charalampos S. Kouzinopoulos, Guangzhi Tang

CoRR, April, 2025

Exploring the Limitations of Layer Synchronization in Spiking Neural Networks.

Roel Koopman, Amirreza Yousefzadeh, Mahyar Shahsavari, Guangzhi Tang, Manolis Sifalakis

Trans. Mach. Learn. Res., 2025

Event-based optical flow on neuromorphic processor: ANN vs. SNN comparison based on activation sparsification.

Yingfu Xu, Guangzhi Tang, Amirreza Yousefzadeh, Guido C. H. E. de Croon, Manolis Sifalakis

Neural Networks, 2025

Sparse Convolutional Recurrent Learning for Efficient Event-based Neuromorphic Object Detection.

Shenqi Wang, Yingfu Xu, Amirreza Yousefzadeh, Sherif Eissa, Henk Corporaal, Federico Corradi, Guangzhi Tang

Proceedings of the International Joint Conference on Neural Networks, 2025

SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects.

Irina Ruzavina, Lisa Sophie Theis, Jesse Lemeer, Rutger de Groen, Leo Ebeling, Andrej Hulak, Jouaria Ali, Guangzhi Tang, Rico Mockel

Proceedings of the International Joint Conference on Neural Networks, 2025

SENMap: Multi-objective dataflow mapping & synthesis for hybrid scalable neuromorphic systems.

Prithvish Nembhani, Oliver Rhodes, Guangzhi Tang, Alexandra F. Dobrita, Yingfu Xu, Kanishkan Vadivel, Kevin Shidqi, Paul Detterer, Mario Konijnenburg, Gert-Jan van Schaik, Manolis Sifalakis, Zaid Al-Ars, Amirreza Yousefzadeh

Proceedings of the International Joint Conference on Neural Networks, 2025

VFL-RPS: Relevant Participant Selection in Vertical Federated Learning.

Afsana Khan, Marijn ten Thij, Guangzhi Tang, Anna Wilbik

Proceedings of the International Joint Conference on Neural Networks, 2025

Predicting the Lifespan of Industrial Printheads with Survival Analysis.

Dan Parii, Evelyne Janssen, Guangzhi Tang, Charalampos S. Kouzinopoulos, Marcin Pietrasik

Proceedings of the 8th IEEE International Conference on Industrial Cyber-Physical Systems, 2025

Full Integer Arithmetic Online Training for Spiking Neural Networks.

Ismael Gomez, Guangzhi Tang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2025, 2025

Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing.

Ivan Knunyants, Maryam Tavakol, Manolis Sifalakis, Yingfu Xu, Amirreza Yousefzadeh, Guangzhi Tang

Proceedings of the 7th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2025

2024

Benchmarking of hardware-efficient real-time neural decoding in brain-computer interfaces.

Paul Hueber, Guangzhi Tang, Manolis Sifalakis, Hua-Peng Liaw, Aurora Micheli, Nergis Tomen, Yao-Hong Liu

Neuromorph. Comput. Eng., 2024

Overcoming the Limitations of Layer Synchronization in Spiking Neural Networks.

Roel Koopman, Amirreza Yousefzadeh, Mahyar Shahsavari, Guangzhi Tang, Manolis Sifalakis

CoRR, 2024

EON-1: A Brain-Inspired Processor for Near-Sensor Extreme Edge Online Feature Extraction.

Alexandra F. Dobrita, Amirreza Yousefzadeh, Simon Thorpe, Kanishkan Vadivel, Paul Detterer, Guangzhi Tang, Gert-Jan van Schaik, Mario Konijnenburg, Anteneh Gebregiorgis, Said Hamdioui, Manolis Sifalakis

CoRR, 2024

SENSIM: An Event-driven Parallel Simulator for Multi-core Neuromorphic Systems.

Prithvish Nembhani, Kanishkan Vadivel, Guangzhi Tang, Mohammad Tahghighi, Gert-Jan van Schaik, Manolis Sifalakis, Zaid Al-Ars, Amirreza Yousefzadeh

Proceedings of the International Joint Conference on Neural Networks, 2024

TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-Based Vision.

Cina Arjmand, Yingfu Xu, Kevin Shidqi, Alexandra F. Dobrita, Kanishkan Vadivel, Paul Detterer, Manolis Sifalakis, Amirreza Yousefzadeh, Guangzhi Tang

Proceedings of the International Conference on Neuromorphic Systems, 2024

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