Chen Li

202020212022202320241 8 18 34 18

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Steve FurberProfessor of Computer Engineering, Department of Computer Science, The University of Manchester, UKVerified email at manchester.ac.uk
Runze ChenUniversity of ManchesterVerified email at manchester.ac.uk
Christoforos MoutafisUniversity of ManchesterVerified email at manchester.ac.uk
Giacomo IndiveriInstitute of Neuroinformatics, University of Zurich and ETH ZurichVerified email at ini.uzh.ch
Vasilis F. PavlidisComputer Science and University of ManchesterVerified email at cs.man.ac.uk
Jim MilesProfessor of Computer Engineering, School of Computer Science, The University of ManchesterVerified email at manchester.ac.uk
Yu LiFudan UniversityVerified email at fudan.edu.cn
Edward G. JonesUniversity of ManchesterVerified email at manchester.ac.uk

Chen Li

Verified email at kcl.ac.uk


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Nanoscale room-temperature multilayer skyrmionic synapse for deep spiking neural networks R Chen, C Li, Y Li, JJ Miles, G Indiveri, S Furber, VF Pavlidis, C Moutafis Physical Review Applied 14 (1), 014096, 2020	31	2020
Quantization framework for fast spiking neural networks C Li, L Ma, S Furber Frontiers in Neuroscience 16, 918793, 2022	24	2022
Robustness to noisy synaptic weights in spiking neural networks C Li, R Chen, C Moutafis, S Furber 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020	13	2020
Unleashing the Potential of Spiking Neural Networks with Dynamic Confidence C Li, EG Jones, S Furber Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023	7	2023
Towards biologically-plausible neuron models and firing rates in high-performance deep spiking neural networks C Li, S Furber International Conference on Neuromorphic Systems 2021, 1-7, 2021	4	2021
Bayesian Inference Accelerator for Spiking Neural Networks P Katti, A Nimbekar, C Li, A Acharyya, BM Al-Hashimi, B Rajendran arXiv preprint arXiv:2401.15453, 2024		2024
Noise Adaptor in Spiking Neural Networks C Li, B Rajendran arXiv preprint arXiv:2312.05290, 2023		2023

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