4 papers
TS-PCL: Plug-and-Play Dual Contrastive Learning for Vision-Guided Medical Time Series Classification
Qi'ao Xu, Pengfei Wang, Bo Zhong +4
Medical time series (MedTS) classification is pivotal for intelligent healthcare, yet its efficacy is severely limited by poor cross-subject generation due to the profound cross-in…
HSACNet: Hierarchical Scale-Aware Consistency Regularized Semi-Supervised Change Detection
Qi'ao Xu, Pengfei Wang, Yanjun Li +2
Semi-supervised change detection (SSCD) aims to detect changes between bi-temporal remote sensing images by utilizing limited labeled data and abundant unlabeled data. Existing met…
A Survey of Spatio-Temporal EEG data Analysis: from Models to Applications
Pengfei Wang, Huanran Zheng, Silong Dai +4
In recent years, the field of electroencephalography (EEG) analysis has witnessed remarkable advancements, driven by the integration of machine learning and artificial intelligence…
TS-HTFA: Advancing Time Series Forecasting via Hierarchical Text-Free Alignment with Large Language Models
Pengfei Wang, Huanran Zheng, Qi'ao Xu +6
Given the significant potential of large language models (LLMs) in sequence modeling, emerging studies have begun applying them to time-series forecasting. Despite notable progress…