| FireFly: a high-throughput hardware accelerator for spiking neural networks with efficient DSP and memory optimization J Li, G Shen, D Zhao, Q Zhang, Y Zeng IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2023 | 20* | 2023 |
| Hardware Resource and Computational Density Efficient CNN Accelerator Design Based on FPGA X Chen, J Li, Y Zhao 2021 IEEE International Conference on Integrated Circuits, Technologies and …, 2021 | 6 | 2021 |
| Firefly v2: Advancing hardware support for high-performance spiking neural network with a spatiotemporal fpga accelerator J Li, G Shen, D Zhao, Q Zhang, Y Zeng IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024 | 3 | 2024 |
| Are Conventional SNNs Really Efficient? A Perspective from Network Quantization G Shen, D Zhao, T Li, J Li, Y Zeng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| Implementation of CNN Heterogeneous Scheme Based on Domestic FPGA with RISC-V Soft Core CPU H Wu, J Li, X Chen 2022 IEEE International Conference on Integrated Circuits, Technologies and …, 2022 | 2 | 2022 |
| Revealing Untapped DSP Optimization Potentials for FPGA-Based Systolic Matrix Engines J Li, T Li, G Shen, D Zhao, Q Zhang, Y Zeng arXiv preprint arXiv:2409.03508, 2024 | | 2024 |
| FireFly-S: Exploiting Dual-Side Sparsity for Spiking Neural Networks Acceleration with Reconfigurable Spatial Architecture T Li, J Li, G Shen, D Zhao, Q Zhang, Y Zeng arXiv preprint arXiv:2408.15578, 2024 | | 2024 |
| Astrocyte-Enabled Advancements in Spiking Neural Networks for Large Language Modeling G Shen, D Zhao, Y Dong, Y Li, J Li, Y Zeng arXiv preprint arXiv:2312.07625, 2023 | | 2023 |
Guobin ShenInstitute of Automation, Chinese Academy of Sciences在 ia.ac.cn 的电子邮件经过验证
