1 citations · 2 across the 4 of their papers we have counts for
4 papers
EdgeRazor: A Lightweight Framework for Large Language Models via Mixed-Precision Quantization-Aware Distillation
Shu-Hao Zhang, Le-Tong Huang, Xiang-Sheng Deng +5
Quantization has emerged as a mainstream approach for deploying Large Language Models (LLMs) on resource-constrained devices, yet compressing precision below 4-bit typically causes…
Generalization Bounds of Spiking Neural Networks via Rademacher Complexity
Shao-Qun Zhang, Zhi-Hua Zhou
Spiking Neural Networks (SNNs) have garnered increasing attention as one of bio-inspired models due to their great potential in neuromorphic computing and sparse computation. Many…
On the Intrinsic Structures of Spiking Neural Networks
Shao-Qun Zhang, Jia-Yi Chen, Jin-Hui Wu +4
Recent years have emerged a surge of interest in SNNs owing to their remarkable potential to handle time-dependent and event-driven data. The performance of SNNs hinges not only on…
Theoretical Exploration of Flexible Transmitter Model
Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang +1
Neural network models generally involve two important components, i.e., network architecture and neuron model. Although there are abundant studies about network architectures, only…