4 papers
GPrune-LLM: Generalization-Aware Structured Pruning for Large Language Models
Xiaoyun Liu, Divya Saxena, Jiannong Cao +3
Structured pruning is widely applied to compress large language models (LLMs), but its performance depends heavily on how neuron importance is estimated. Most existing methods rely…
Programmable electro-optic frequency comb empowers integrated parallel convolution processing
Jinze He, Junzhe Qiang, Yiying Dong +11
Integrated photonic convolution processors make optical neural networks (ONNs) a transformative solution for artificial intelligence applications such as machine vision. To enhance…
Scalable multilayer diffractive neural network with all-optical nonlinear activation
Yiying Dong, Bohan Zhang, Ruiqi Liang +7
All-optical diffractive neural networks (DNNs) offer a promising alternative to electronics-based neural network processing due to their low latency, high throughput, and inherent…
Metasurface-generated large and arbitrary analog convolution kernels for accelerated machine vision
Ruiqi Liang, Shuai Wang, Yiying Dong +4
In the rapidly evolving field of artificial intelligence, convolutional neural networks are essential for tackling complex challenges such as machine vision and medical diagnosis.…