From the 1 of 17 linked papers with an AI index.
17 papers
OptGraph: Large Language Models Enhanced Evolutionary Optimization Via Graph Retrieval-Augmented Generation
Xianchao Xiu, Jianhao Li, Huangyue Chen +1
The paper introduces OptGraph, a system that enhances automated evolutionary optimization by using large language models together with a graph‑based retrieval‑augmented generation…
Transformer-Guided Content-Adaptive Graph Learning for Hyperspectral Unmixing
Hui Chen, Liangyu Liu, Xianchao Xiu +1
Hyperspectral unmixing (HU) targets to decompose each mixed pixel in remote sensing images into a set of endmembers and their corresponding abundances. Despite significant progress…
Heaviside Low-Rank Support Matrix Machine
Xianchao Xiu, Shenghao Sun, Xinrong Li +1
Support matrix machine (SMM) is an emerging classification framework that directly handles matrix-structured observations, thereby avoiding the spatial correlations destroyed by ve…
LLM4FS: Leveraging Large Language Models for Feature Selection
Jianhao Li, Xianchao Xiu
Recent advances in large language models (LLMs) have provided new opportunities for decision-making, particularly in the task of automated feature selection. In this paper, we firs…
Sparse Tensor CCA via Manifold Optimization for Multi-View Learning
Yanjiao Zhu, Wanquan Liu, Xianchao Xiu +1
Tensor canonical correlation analysis (TCCA) has garnered significant attention due to its effectiveness in capturing high-order correlations in multi-view learning. However, exist…
GoPrune: Accelerated Structured Pruning with -Norm Optimization
Li Xu, Xianchao Xiu
Convolutional neural networks (CNNs) suffer from rapidly increasing storage and computational costs as their depth grows, which severely hinders their deployment on resource-constr…