activity
20242026
most citedA Survey on Speech Large Language Models for Understanding

6 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2026

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning

Kexin Zhang, Lixin Li, Yuna Yan +5

The rapid development of low-altitude economy has driven the proliferation of Unmanned Aerial Vehicle (UAV) applications, including logistics, inspection, and emergency response. H…

cs.IR2025

Emergency Communication: OTFS-Based Semantic Transmission with Diffusion Noise Suppression

Kexin Zhang, Xin Zhang, Lixin Li +3

Due to their flexibility and dynamic coverage capabilities, Unmanned Aerial Vehicles (UAVs) have emerged as vital platforms for emergency communication in disaster-stricken areas.…

eess.IV2024★ 1 cited

SC-CDM: Enhancing Quality of Image Semantic Communication with a Compact Diffusion Model

Kexin Zhang, Lixin Li, Wensheng Lin +3

Semantic Communication (SC) is an emerging technology that has attracted much attention in the sixth-generation (6G) mobile communication systems. However, few literature has fully…

eess.AS2024★ 6 cited

A Survey on Speech Large Language Models for Understanding

Jing Peng, Yucheng Wang, Bohan Li +9

Speech understanding is essential for interpreting the diverse forms of information embedded in spoken language, including linguistic, paralinguistic, and non-linguistic cues that…

cs.LG2024

Semantic Successive Refinement: A Generative AI-aided Semantic Communication Framework

Kexin Zhang, Lixin Li, Wensheng Lin +4

Semantic Communication (SC) is an emerging technology aiming to surpass the Shannon limit. Traditional SC strategies often minimize signal distortion between the original and recon…