publications

2026

1. NCE

   

   Efficient Transformer Adaptation for Analog In-Memory Computing via Low-Rank Adapters

   Chen Li, Elena Ferro, Corey Lammie, and 3 more authors

   Neuromorphic Computing and Engineering, 2026

   Bib

   @article{li2026efficient,
     title = {Efficient Transformer Adaptation for Analog In-Memory Computing via Low-Rank Adapters},
     author = {Li, Chen and Ferro, Elena and Lammie, Corey and Gallo, Manuel Le and Sebastian, Abu and Rajendran, Bipin},
     journal = {Neuromorphic Computing and Engineering},
     volume = {6},
     pages = {014011},
     year = {2026},
     publisher = {IOP Publishing},
   }

2024

1. IEDM

   

   Heterogeneous Embedded Neural Processing Units Utilizing PCM-based Analog In-Memory Computing

   Irem Boybat-Kara, Thomas Boesch, Michele Allegra, and 10 more authors

   In IEEE International Electron Devices Meeting (IEDM), 2024

   Bib

   @inproceedings{boybat2024heterogeneous,
     title = {Heterogeneous Embedded Neural Processing Units Utilizing PCM-based Analog In-Memory Computing},
     author = {Boybat-Kara, Irem and Boesch, Thomas and Allegra, Michele and Fonseca-Guerra, Cezar and Tao, Xuechen and Oppermann, Julian and Papandreou, Nikos and Sebastian, Abu and Arnaud, Francois and Li, Chen and Rajendran, Bipin and Joshi, Vijay and Gallo, Manuel Le},
     booktitle = {IEEE International Electron Devices Meeting (IEDM)},
     year = {2024},
     organization = {IEEE},
   }

2. arXiv

   

   Noise Adaptor in Spiking Neural Networks

   Chen Li, and Bipin Rajendran

   arXiv preprint arXiv:2411.17431, 2024

   Bib

   @article{li2024noise,
     title = {Noise Adaptor in Spiking Neural Networks},
     author = {Li, Chen and Rajendran, Bipin},
     journal = {arXiv preprint arXiv:2411.17431},
     year = {2024},
   }

3. SOCC

   Hardware-Software Co-optimized Inference Accelerator for Deep Spiking Networks

   Abhijeet Nimbekar, Pushpak Katti, Chen Li, and 1 more author

   In IEEE International System-on-Chip Conference (SOCC), 2024

   Bib

   @inproceedings{nimbekar2024hardware,
     title = {Hardware-Software Co-optimized Inference Accelerator for Deep Spiking Networks},
     author = {Nimbekar, Abhijeet and Katti, Pushpak and Li, Chen and Rajendran, Bipin},
     booktitle = {IEEE International System-on-Chip Conference (SOCC)},
     year = {2024},
     organization = {IEEE}
   }

4. ISCAS

   Bayesian Inference Accelerator for Spiking Neural Networks

   Pushpak Katti, Abhijeet Nimbekar, Chen Li, and 1 more author

   In IEEE International Symposium on Circuits and Systems (ISCAS), 2024

   Bib

   @inproceedings{katti2024bayesian,
     title = {Bayesian Inference Accelerator for Spiking Neural Networks},
     author = {Katti, Pushpak and Nimbekar, Abhijeet and Li, Chen and Rajendran, Bipin},
     booktitle = {IEEE International Symposium on Circuits and Systems (ISCAS)},
     year = {2024},
     organization = {IEEE}
   }

2023

1. ICCV

   

   Unleashing the Potential of Spiking Neural Networks with Dynamic Confidence

   Chen Li, Edward Jones, and Steve Furber

   In International Conference on Computer Vision (ICCV), 2023

   Bib

   @inproceedings{li2023unleashing,
     title = {Unleashing the Potential of Spiking Neural Networks with Dynamic Confidence},
     author = {Li, Chen and Jones, Edward and Furber, Steve},
     booktitle = {International Conference on Computer Vision (ICCV)},
     pages = {1--10},
     year = {2023},
   }

2022

1. Front. Neurosci.

   

   Quantization Framework for Fast Spiking Neural Networks

   Chen Li, Lei Ma, and Steve B Furber

   Frontiers in Neuroscience, 2022

   Bib

   @article{li2022quantization,
     title = {Quantization Framework for Fast Spiking Neural Networks},
     author = {Li, Chen and Ma, Lei and Furber, Steve B},
     journal = {Frontiers in Neuroscience},
     volume = {16},
     pages = {918793},
     year = {2022},
     publisher = {Frontiers},
   }

2021

1. ICONS

   Towards Biologically-Plausible Neuron Models and Firing Rates in High-Performance Deep Spiking Neural Networks

   Chen Li, and Steve Furber

   In International Conference on Neuromorphic Systems 2021, 2021

   Bib

   @inproceedings{li2021towards,
     title = {Towards Biologically-Plausible Neuron Models and Firing Rates in High-Performance Deep Spiking Neural Networks},
     author = {Li, Chen and Furber, Steve},
     booktitle = {International Conference on Neuromorphic Systems 2021},
     pages = {1--7},
     year = {2021}
   }

2020

1. Phys. Rev. Appl.

   

   Nanoscale Room-Temperature Multilayer Skyrmionic Synapse for Deep Spiking Neural Networks

   Runze Chen, Chen Li, Yu Li, and 5 more authors

   Physical Review Applied, 2020

   Bib

   @article{chen2020nanoscale,
     title = {Nanoscale Room-Temperature Multilayer Skyrmionic Synapse for Deep Spiking Neural Networks},
     author = {Chen, Runze and Li, Chen and Li, Yu and Miles, James J and Indiveri, Giacomo and Furber, Steve and Pavlidis, Vasilis F and Moutafis, Christoforos},
     journal = {Physical Review Applied},
     volume = {14},
     number = {1},
     pages = {014096},
     year = {2020},
     publisher = {APS},
   }

2. IJCNN

   

   Robustness to Noisy Synaptic Weights in Spiking Neural Networks

   Chen Li, Runze Chen, Christoforos Moutafis, and 1 more author

   In 2020 International Joint Conference on Neural Networks (IJCNN), 2020

   Bib

   @inproceedings{li2020robustness,
     title = {Robustness to Noisy Synaptic Weights in Spiking Neural Networks},
     author = {Li, Chen and Chen, Runze and Moutafis, Christoforos and Furber, Steve},
     booktitle = {2020 International Joint Conference on Neural Networks (IJCNN)},
     pages = {1--8},
     year = {2020},
     organization = {IEEE},
   }