Guangzhi Tang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
6
Active years
2019–2025
Best venue rank
B
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICANN | Full Integer Arithmetic Online Training for Spiking Neural Networks. | Ismael Gomez, Guangzhi Tang |
| 2025 | IJCNN | VFL-RPS: Relevant Participant Selection in Vertical Federated Learning. | Afsana Khan, Marijn ten Thij, Guangzhi Tang, Anna Wilbik |
| 2025 | IJCNN | 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 |
| 2025 | IJCNN | 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 |
| 2025 | IJCNN | 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 |
| 2025 | IROS | Context-aware Sparse Spatiotemporal Learning for Event-based Vision. | Shenqi Wang, Guangzhi Tang |
| 2025 | SMC | A Segmented Robot Grasping Perception Neural Network for Edge AI. | Casper Brcheler, Thomas Vroom, Derrick Timmermans, Alan van den Akker, Guangzhi Tang, Charalampos S. Kouzinopoulos, Rico Mockel |
| 2024 | IJCNN | 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 |
| 2023 | ISCAS | Empirical study on the efficiency of Spiking Neural Networks with axonal delays, and algorithm-hardware benchmarking. | Alberto Patio-Saucedo, Amirreza Yousefzadeh, Guangzhi Tang, Federico Corradi, Bernab Linares-Barranco, Manolis Sifalakis |
| 2023 | ISCAS | 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 |
| 2020 | CoRL | Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control. | Guangzhi Tang, Neelesh Kumar, Raymond Yoo, Konstantinos P. Michmizos |
| 2020 | IROS | Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware. | Guangzhi Tang, Neelesh Kumar, Konstantinos P. Michmizos |
| 2019 | IROS | Spiking Neural Network on Neuromorphic Hardware for Energy-Efficient Unidimensional SLAM. | Guangzhi Tang, Arpit Shah, Konstantinos P. Michmizos |