4 papers
Restoration Flow Matching-Based Channel Refinement and Equalization Correction for MIMO Semantic Communications
Wenkai Liu, Nan Ma, Jianqiao Chen +3
In multiple-input multiple-output (MIMO) semantic communication, imperfect channel state information (CSI) and equalization mismatch can seriously degrade semantic reconstruction q…
MMSpec: Benchmarking Speculative Decoding for Vision-Language Models
Hui Shen, Xin Wang, Ping Zhang +11
Vision-language models (VLMs) achieve strong performance on multimodal tasks but suffer from high inference latency due to large model sizes and long multimodal contexts. Speculati…
ICDM: Interference Cancellation Diffusion Models for Wireless Semantic Communications
Tong Wu, Zhiyong Chen, Dazhi He +5
Diffusion models (DMs) have recently achieved significant success in wireless communications systems due to their denoising capabilities. The broadcast nature of wireless signals m…
Continual Learning-Aided Super-Resolution Scheme for Channel Reconstruction and Generalization in OFDM Systems
Jianqiao Chen, Nan Ma, Wenkai Liu +2
Channel reconstruction and generalization capability are of equal importance for developing channel estimation schemes within deep learning (DL) framework. In this paper, we exploi…