4 papers
Predictability-Aware Compression and Decompression Framework for Multichannel Time Series Data with Latent Seasonality
Ziqi Liu, Pei Zeng, Yi Ding
Real-world multichannel time series prediction faces growing demands for efficiency across edge and cloud environments, making channel compression a timely and essential problem. M…
Training-free Ultra Small Model for Universal Sparse Reconstruction in Compressed Sensing
Chaoqing Tang, Huanze Zhuang, Guiyun Tian +4
Pre-trained large models attract widespread attention in recent years, but they face challenges in applications that require high interpretability or have limited resources, such a…
Test-Time Dynamic Image Fusion
Bing Cao, Yinan Xia, Yi Ding +2
The inherent challenge of image fusion lies in capturing the correlation of multi-source images and comprehensively integrating effective information from different sources. Most e…
Predictive Dynamic Fusion
Bing Cao, Yinan Xia, Yi Ding +2
Multimodal fusion is crucial in joint decision-making systems for rendering holistic judgments. Since multimodal data changes in open environments, dynamic fusion has emerged and a…