Jose Nunez-Yanez
Professor
Publikationer
Mahdieh Grailootanha, Jose Luis Nunez-Yanez, 
Heterogeneous Edge Computing for Molecular Property Prediction with Graph Convolutional Networks, Electronics 14:101 (2025) 
https://doi.org/10.3390/electronics14010101
Jose Luis Nunez-Yanez, Adaptive Quantization of Graph Convolutional Networks with Hardware-Aware On-device Training, 2024 IEEE NORDIC CIRCUITS AND SYSTEMS CONFERENCE, NORCAS, IEEE (2024) https://doi.org/10.1109/NorCAS64408.2024.10752483
Habib Taha Kose, Jose Nunez-Yanez, Robert Piechocki, James Pope, A Survey of Computationally Efficient Graph Neural Networks for Reconfigurable Systems, Information 15:377 (2024) https://doi.org/10.3390/info15070377
Hadi Mousanejad Jeddi, Mahdieh Grailootanha, Jose Luis Nunez-Yanez, Leveraging Dynamic Range Analysis for Efficient Post-Training Quantization in Graph Convolutional Networks, 2024 IEEE NORDIC CIRCUITS AND SYSTEMS CONFERENCE, NORCAS, IEEE (2024) https://doi.org/10.1109/NorCAS64408.2024.10752486
Mahdieh Grailootanha, Tooraj Nikoubin, Jose Luis Nunez-Yanez, Hardware Acceleration of Molecular Property Graph Prediction on a Heterogeneous Edge Platform, 2024 IEEE NORDIC CIRCUITS AND SYSTEMS CONFERENCE, NORCAS, IEEE (2024) https://doi.org/10.1109/NorCAS64408.2024.10752459