9 citations · 22 across the 7 of their papers we have counts for
7 papers
Multi-Scale Transformer Architecture for Accurate Medical Image Classification
Jiacheng Hu, Yanlin Xiang, Yang Lin +3
This study introduces an AI-driven skin lesion classification algorithm built on an enhanced Transformer architecture, addressing the challenges of accuracy and robustness in medic…
Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models
Xiaoxuan Liao, Chihang Wang, Shicheng Zhou +3
This paper presents a novel methodology of fine-tuning for large language models-dynamic LoRA. Building from the standard Low-Rank Adaptation framework, this methodology further ad…
Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks
Jiacheng Hu, Xiaoxuan Liao, Jia Gao +3
This study proposes a large language model optimization method based on the improved LoRA fine-tuning algorithm, aiming to improve the accuracy and computational efficiency of the…
Detecting and Classifying Defective Products in Images Using YOLO
Zhen Qi, Liwei Ding, Xiangtian Li +3
With the continuous advancement of industrial automation, product quality inspection has become increasingly important in the manufacturing process. Traditional inspection methods,…
Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs
Junliang Du, Guiran Liu, Jia Gao +3
This study proposed a knowledge graph entity extraction and relationship reasoning algorithm based on a graph neural network, using a graph convolutional network and graph attentio…
Artistic Neural Style Transfer Algorithms with Activation Smoothing
Xiangtian Li, Han Cao, Zhaoyang Zhang +3
The works of Gatys et al. demonstrated the capability of Convolutional Neural Networks (CNNs) in creating artistic style images. This process of transferring content images in diff…
Improving Academic Skills Assessment with NLP and Ensemble Learning
Xinyi Huang, Yingyi Wu, Danyang Zhang +2
This study addresses the critical challenges of assessing foundational academic skills by leveraging advancements in natural language processing (NLP). Traditional assessment metho…