1 citations · 1 across the 4 of their papers we have counts for
5 papers
FusAD: Time-Frequency Fusion with Adaptive Denoising for General Time Series Analysis
Da Zhang, Bingyu Li, Zhiyuan Zhao +3
Time series analysis plays a vital role in fields such as finance, healthcare, industry, and meteorology, underpinning key tasks including classification, forecasting, and anomaly…
UniDiff: A Unified Diffusion Framework for Multimodal Time Series Forecasting
Da Zhang, Bingyu Li, Zhuyuan Zhao +3
As multimodal data proliferates across diverse real-world applications, leveraging heterogeneous information such as texts and timestamps for accurate time series forecasting (TSF)…
FAIM: Frequency-Aware Interactive Mamba for Time Series Classification
Da Zhang, Bingyu Li, Zhiyuan Zhao +4
Time series classification (TSC) is crucial in numerous real-world applications, such as environmental monitoring, medical diagnosis, and posture recognition. TSC tasks require mod…
UWBench: A Comprehensive Vision-Language Benchmark for Underwater Understanding
Da Zhang, Chenggang Rong, Bingyu Li +4
Large vision-language models (VLMs) have achieved remarkable success in natural scene understanding, yet their application to underwater environments remains largely unexplored. Un…
FGAseg: Fine-Grained Pixel-Text Alignment for Open-Vocabulary Semantic Segmentation
Bingyu Li, Da Zhang, Zhiyuan Zhao +2
Open-vocabulary segmentation aims to identify and segment specific regions and objects based on text-based descriptions. A common solution is to leverage powerful vision-language m…