6 papers
Dual-Domain Manifold Modeling for Hyperspectral Image Fusion
Chengxin Xie, Qiya Song, Yangbangyan Jiang +2
The paper proposes a dual-domain manifold modeling framework that combines a topology-aware transformer with frequency-decoupled fusion to better preserve spatial structures and sp…
From Objectives to Applications: Aligning Architectural Biases in Audio Self-Supervised Learning
Kele Xu, Yulu Fang, Boda Zhou +6
This paper examines audio self-supervised learning (SSL) through the alignment between pretraining objectives, architectural inductive biases, and downstream applications. Rather t…
ASSR-Net: Anisotropic Structure-Aware and Spectrally Recalibrated Network for Hyperspectral Image Fusion
Qiya Song, Hongzhi Zhou, Lishan Tan +2
Hyperspectral image fusion aims to reconstruct high-spatial-resolution hyperspectral images (HR-HSI) by integrating complementary information from multi-source inputs. Despite rece…
Robust Remote Sensing Image-Text Retrieval with Noisy Correspondence
Qiya Song, Yiqiang Xie, Yuan Sun +2
As a pivotal task that bridges remote visual and linguistic understanding, Remote Sensing Image-Text Retrieval (RSITR) has attracted considerable research interest in recent years.…
Supervised Fine Tuning of Large Language Models for Domain Specific Knowledge Graph Construction:A Case Study on Hunan's Historical Celebrities
Junjie Hao, Chun Wang, Ying Qiao +4
Large language models and knowledge graphs offer strong potential for advancing research on historical culture by supporting the extraction, analysis, and interpretation of cultura…
DiffCL: A Diffusion-Based Contrastive Learning Framework with Semantic Alignment for Multimodal Recommendations
Qiya Song, Jiajun Hu, Lin Xiao +3
Multimodal recommendation systems integrate diverse multimodal information into the feature representations of both items and users, thereby enabling a more comprehensive modeling…