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Cunhua Pan

17 papers hereh-index 8207 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author12
  • last author3

Across the 15 of 17 papers where every author was matched, so the position is known.

fields
  • cs.IT8
  • eess.IV3
  • cs.CV2
  • eess.SP2
  • cs.AI1
  • cs.LG1
same name
  • Cunhua Pan — 141 papers, h 68
  • Cunhua Pan — 80 papers, h 17
  • Cunhua Pan — 8 papers, h 4
  • Cunhua Pan — 8 papers, h 9
  • Cunhua Pan — 7 papers, h 14
  • Cunhua Pan — 5 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedLarge Generative Model Assisted 3D Semantic Communication

3 citations · 8 across the 17 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.IT2024

Large Generative Model-assisted Talking-face Semantic Communication System

Feibo Jiang, Siwei Tu, Li Dong +3

The rapid development of generative Artificial Intelligence (AI) continually unveils the potential of Semantic Communication (SemCom). However, current talking-face SemCom systems…

cs.CV2024

Visual Language Model based Cross-modal Semantic Communication Systems

Feibo Jiang, Chuanguo Tang, Li Dong +3

Semantic Communication (SC) has emerged as a novel communication paradigm in recent years, successfully transcending the Shannon physical capacity limits through innovative semanti…

cs.LG2024★ 1 cited

Personalized Wireless Federated Learning for Large Language Models

Feibo Jiang, Li Dong, Siwei Tu +5

Large language models (LLMs) have driven profound transformations in wireless networks. However, within wireless environments, the training of LLMs faces significant challenges rel…

cs.IT2024★ 3 cited

Large Generative Model Assisted 3D Semantic Communication

Feibo Jiang, Yubo Peng, Li Dong +4

Semantic Communication (SC) is a novel paradigm for data transmission in 6G. However, there are several challenges posed when performing SC in 3D scenarios: 1) 3D semantic extracti…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.