Guangzhi Tang - RankMe

49 papers A 3B 6C 2Misc 1Journal 31Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HybridFL: A Federated Learning Approach for Financial Crime Detection. CoRR Afsana Khan, Marijn ten Thij, Guangzhi Tang, Anna Wilbik
2026	J	`jnl`	Reliable Brain Tumor Segmentation Based on Spiking Neural Networks with Efficient Training. CoRR Aurora Pia Ghiardelli, Guangzhi Tang, Tao Sun
2025	B	`conf`	A Segmented Robot Grasping Perception Neural Network for Edge AI. SMC Casper Bröcheler, Thomas Vroom, Derrick Timmermans, Alan van den Akker, Guangzhi Tang, Charalampos S. Kouzinopoulos, Rico Mockel
2025	J	`jnl`	A Segmented Robot Grasping Perception Neural Network for Edge AI. CoRR Casper Bröcheler, Thomas Vroom, Derrick Timmermans, Alan van den Akker, Guangzhi Tang, Charalampos S. Kouzinopoulos, Rico Mockel
2025	J	`jnl`	Adaptively Pruned Spiking Neural Networks for Energy-Efficient Intracortical Neural Decoding. CoRR Francesca Rivelli, Martin Popov, Charalampos S. Kouzinopoulos, Guangzhi Tang
2025	A	`conf`	Context-aware Sparse Spatiotemporal Learning for Event-based Vision. IROS Shenqi Wang, Guangzhi Tang
2025	J	`jnl`	Context-aware Sparse Spatiotemporal Learning for Event-based Vision. CoRR Shenqi Wang, Guangzhi Tang
2025	J	`jnl`	Efficient Synaptic Delay Implementation in Digital Event-Driven AI Accelerators. CoRR Roy Meijer, Paul Detterer, Amirreza Yousefzadeh, Alberto Patiño-Saucedo, Guangzhi Tang, Kanishkan Vadivel, Yinfu Xu, Manil Dev Gomony, Federico Corradi, Bernabé Linares-Barranco, Manolis Sifalakis
2025	J	`jnl`	Event-based optical flow on neuromorphic processor: ANN vs. SNN comparison based on activation sparsification. Neural Networks Yingfu Xu, Guangzhi Tang, Amirreza Yousefzadeh, Guido C. H. E. de Croon, Manolis Sifalakis
2025	—	`conf`	Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing. AICAS Ivan Knunyants, Maryam Tavakol, Manolis Sifalakis, Yingfu Xu, Amirreza Yousefzadeh, Guangzhi Tang
2025	J	`jnl`	Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing. CoRR Ivan Knunyants, Maryam Tavakol, Manolis Sifalakis, Yingfu Xu, Amirreza Yousefzadeh, Guangzhi Tang
2025	J	`jnl`	Exploring the Limitations of Layer Synchronization in Spiking Neural Networks. Trans. Mach. Learn. Res. Roel Koopman, Amirreza Yousefzadeh, Mahyar Shahsavari, Guangzhi Tang, Manolis Sifalakis
2025	—	`conf`	Full Integer Arithmetic Online Training for Spiking Neural Networks. ICANN (1) Ismael Gomez, Guangzhi Tang
2025	J	`jnl`	Full Integer Arithmetic Online Training for Spiking Neural Networks. CoRR Ismael Gomez, Guangzhi Tang
2025	—	`conf`	Predicting the Lifespan of Industrial Printheads with Survival Analysis. ICPS Dan Parii, Evelyne Janssen, Guangzhi Tang, Charalampos S. Kouzinopoulos, Marcin Pietrasik
2025	J	`jnl`	Predicting the Lifespan of Industrial Printheads with Survival Analysis. CoRR Dan Parii, Evelyne Janssen, Guangzhi Tang, Charalampos S. Kouzinopoulos, Marcin Pietrasik
2025	J	`jnl`	SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems. CoRR 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
2025	B	`conf`	SENMap: Multi-objective dataflow mapping & synthesis for hybrid scalable neuromorphic systems. IJCNN 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
2025	B	`conf`	Sparse Convolutional Recurrent Learning for Efficient Event-based Neuromorphic Object Detection. IJCNN Shenqi Wang, Yingfu Xu, Amirreza Yousefzadeh, Sherif Eissa, Henk Corporaal, Federico Corradi, Guangzhi Tang
2025	J	`jnl`	Sparse Convolutional Recurrent Learning for Efficient Event-based Neuromorphic Object Detection. CoRR Shenqi Wang, Yingfu Xu, Amirreza Yousefzadeh, Sherif Eissa, Henk Corporaal, Federico Corradi, Guangzhi Tang
2025	B	`conf`	SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects. IJCNN Irina Ruzavina, Lisa Sophie Theis, Jesse Lemeer, Rutger de Groen, Leo Ebeling, Andrej Hulak, Jouaria Ali, Guangzhi Tang, Rico Mockel
2025	J	`jnl`	SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects. CoRR Irina Ruzavina, Lisa Sophie Theis, Jesse Lemeer, Rutger de Groen, Leo Ebeling, Andrej Hulak, Jouaria Ali, Guangzhi Tang, Rico Mockel
2025	B	`conf`	VFL-RPS: Relevant Participant Selection in Vertical Federated Learning. IJCNN Afsana Khan, Marijn ten Thij, Guangzhi Tang, Anna Wilbik
2025	J	`jnl`	VFL-RPS: Relevant Participant Selection in Vertical Federated Learning. CoRR Afsana Khan, Marijn ten Thij, Guangzhi Tang, Anna Wilbik
2024	J	`jnl`	Benchmarking of hardware-efficient real-time neural decoding in brain-computer interfaces. Neuromorph. Comput. Eng. Paul Hueber, Guangzhi Tang, Manolis Sifalakis, Hua-Peng Liaw, Aurora Micheli, Nergis Tomen, Yao-Hong Liu
2024	J	`jnl`	EON-1: A Brain-Inspired Processor for Near-Sensor Extreme Edge Online Feature Extraction. CoRR 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
2024	J	`jnl`	EON-1: A Brain-Inspired Processor for Near-Sensor Extreme Edge Online Feature Extraction. IEEE Trans. Circuits Syst. Artif. Intell. 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
2024	J	`jnl`	Event-based Optical Flow on Neuromorphic Processor: ANN vs. SNN Comparison based on Activation Sparsification. CoRR Yingfu Xu, Guangzhi Tang, Amirreza Yousefzadeh, Guido de Croon, Manolis Sifalakis
2024	J	`jnl`	Overcoming the Limitations of Layer Synchronization in Spiking Neural Networks. CoRR Roel Koopman, Amirreza Yousefzadeh, Mahyar Shahsavari, Guangzhi Tang, Manolis Sifalakis
2024	B	`conf`	SENSIM: An Event-driven Parallel Simulator for Multi-core Neuromorphic Systems. IJCNN Prithvish Nembhani, Kanishkan Vadivel, Guangzhi Tang, Mohammad Tahghighi, Gert-Jan van Schaik, Manolis Sifalakis, Zaid Al-Ars, Amirreza Yousefzadeh
2024	—	`conf`	TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-Based Vision. ICONS Cina Arjmand, Yingfu Xu, Kevin Shidqi, Alexandra F. Dobrita, Kanishkan Vadivel, Paul Detterer, Manolis Sifalakis, Amirreza Yousefzadeh, Guangzhi Tang
2024	J	`jnl`	TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-based Vision. CoRR Cina Arjmand, Yingfu Xu, Kevin Shidqi, Alexandra F. Dobrita, Kanishkan Vadivel, Paul Detterer, Manolis Sifalakis, Amirreza Yousefzadeh, Guangzhi Tang
2023	C	`conf`	Empirical study on the efficiency of Spiking Neural Networks with axonal delays, and algorithm-hardware benchmarking. ISCAS Alberto Patiño-Saucedo, Amirreza Yousefzadeh, Guangzhi Tang, Federico Corradi, Bernabé Linares-Barranco, Manolis Sifalakis
2023	J	`jnl`	Empirical study on the efficiency of Spiking Neural Networks with axonal delays, and algorithm-hardware benchmarking. CoRR Alberto Patiño-Saucedo, Amirreza Yousefzadeh, Guangzhi Tang, Federico Corradi, Bernabé Linares-Barranco, Manolis Sifalakis
2023	J	`jnl`	NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR 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, P. 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
2023	C	`conf`	Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design. ISCAS Guangzhi Tang, Ali Safa, Kevin Shidqi, Paul Detterer, Stefano Traferro, Mario Konijnenburg, Manolis Sifalakis, Gert-Jan van Schaik, Amirreza Yousefzadeh
2023	J	`jnl`	Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design. CoRR Guangzhi Tang, Ali Safa, Kevin Shidqi, Paul Detterer, Stefano Traferro, Mario Konijnenburg, Manolis Sifalakis, Gert-Jan van Schaik, Amirreza Yousefzadeh
2022	J	`jnl`	Decoding EEG With Spiking Neural Networks on Neuromorphic Hardware. Trans. Mach. Learn. Res. Neelesh Kumar, Guangzhi Tang, Raymond Yoo, Konstantinos P. Michmizos
2021	J	`jnl`	BioGrad: Biologically Plausible Gradient-Based Learning for Spiking Neural Networks. CoRR Guangzhi Tang, Neelesh Kumar, Ioannis Polykretis, Konstantinos P. Michmizos
2020	—	`conf`	An Astrocyte-Modulated Neuromorphic Central Pattern Generator for Hexapod Robot Locomotion on Intel's Loihi. ICONS Ioannis Polykretis, Guangzhi Tang, Konstantinos P. Michmizos
2020	Misc	`conf`	Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control. CoRL Guangzhi Tang, Neelesh Kumar, Raymond Yoo, Konstantinos P. Michmizos
2020	J	`jnl`	Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control. CoRR Guangzhi Tang, Neelesh Kumar, Raymond Yoo, Konstantinos P. Michmizos
2020	—	`conf`	Real-time Mapping on a Neuromorphic Processor. NICE Guangzhi Tang, Konstantinos P. Michmizos
2020	A	`conf`	Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware. IROS Guangzhi Tang, Neelesh Kumar, Konstantinos P. Michmizos
2020	J	`jnl`	Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware. CoRR Guangzhi Tang, Neelesh Kumar, Konstantinos P. Michmizos
2019	J	`jnl`	Introducing Astrocytes on a Neuromorphic Processor: Synchronization, Local Plasticity and Edge of Chaos. CoRR Guangzhi Tang, Ioannis E. Polykretis, Vladimir A. Ivanov, Arpit Shah, Konstantinos P. Michmizos
2019	A	`conf`	Spiking Neural Network on Neuromorphic Hardware for Energy-Efficient Unidimensional SLAM. IROS Guangzhi Tang, Arpit Shah, Konstantinos P. Michmizos
2019	J	`jnl`	Spiking Neural Network on Neuromorphic Hardware for Energy-Efficient Unidimensional SLAM. CoRR Guangzhi Tang, Arpit Shah, Konstantinos P. Michmizos
2018	J	`jnl`	Gridbot: An autonomous robot controlled by a Spiking Neural Network mimicking the brain's navigational system. CoRR Guangzhi Tang, Konstantinos P. Michmizos