2 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CL2024★ 1 cited
ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models
Zequan Liu, Jiawen Lyn, Wei Zhu +2
Parameter-efficient fine-tuning (PEFT) is widely studied for its effectiveness and efficiency in the era of large language models. Low-rank adaptation (LoRA) has demonstrated comme…
eess.IV2020★ 2 cited
Image super-resolution reconstruction based on attention mechanism and feature fusion
Jiawen Lyn, Sen Yan
Aiming at the problems that the convolutional neural networks neglect to capture the inherent attributes of natural images and extract features only in a single scale in the field…
cs.CV2020
Multi-Level Feature Fusion Mechanism for Single Image Super-Resolution
Jiawen Lyn
Convolution neural network (CNN) has been widely used in Single Image Super Resolution (SISR) so that SISR has been a great success recently. As the network deepens, the learning a…