5 papers
PolarMem: A Training-Free Polarized Latent Graph Memory for Verifiable Vision-Language Models
Zhisheng Chen, Tingyu Wu, Zijie Zhou +7
Memory is not merely a storage mechanism for intelligent systems, but a structure for organizing evidence and constraining belief. This is especially important for multimodal reaso…
Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning
Zhisheng Chen, Yingwei Zhang, Qizhen Lan +7
Current foundation models for electroencephalography (EEG) rely on architectures adapted from computer vision or natural language processing, typically treating neural signals as p…
CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness
Yingwei Zhang, Ke Bu, Zhuoran Zhuang +5
The past decades witness the significant advancements in time series forecasting (TSF) across various real-world domains, including e-commerce and disease spread prediction. Howeve…
FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare
Penghao Wang, Qian Chen, Teng Zhang +3
Federated Learning (FL) has emerged as an effective solution for multi-institutional collaborations without sharing patient data, offering a range of methods tailored for diverse a…
Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer
Haopeng Sun, Yingwei Zhang, Lumin Xu +2
Segmentation of ultra-high resolution (UHR) images is a critical task with numerous applications, yet it poses significant challenges due to high spatial resolution and rich fine d…