3 papers
cs.CL2026
TLoRA+: A Low-Rank Parameter-Efficient Fine-Tuning Method for Large Language Models
Yarui Cao, Kai Liu
Fine-tuning large language models (LLMs) aims to adapt pre-trained models to specific tasks using relatively small and domain-specific datasets. Among Parameter-Efficient Fine-Tuni…
cs.LG2023
Adaptive Weighted Multiview Kernel Matrix Factorization with its application in Alzheimer's Disease Analysis -- A clustering Perspective
Kai Liu, Yarui Cao
Recent technology and equipment advancements provide with us opportunities to better analyze Alzheimer's disease (AD), where we could collect and employ the data from different ima…
eess.IV2021
Exact Sparse Orthogonal Dictionary Learning
Kai Liu, Yongjian Zhao, Hua Wang
Over the past decade, learning a dictionary from input images for sparse modeling has been one of the topics which receive most research attention in image processing and compresse…