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Kai Niu

16 papers hereh-index 6146 citations24 works total

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

author position
  • first author3
  • middle author12
  • last author1

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.IT12
  • eess.IV2
  • cs.SD1
  • eess.SP1
same name
  • Kai Niu — 5 papers, h 5
  • Kai Niu — 4 papers, h 1
  • Kai Niu — 3 papers, h 19
  • Kai Niu — 3 papers, h 1
  • Kai Niu — 2 papers, h 9
  • Kai Niu — 2 papers, h 3

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 citedSemantic Huffman Coding using Synonymous Mapping

1 citations · 3 across the 15 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.SD2025

Error-Resilient Semantic Communication for Speech Transmission over Packet-Loss Networks

Zhuohang Han, Jincheng Dai, Shengshi Yao +5

Real-time speech communication over wireless networks remains challenging, as conventional channel protection mechanisms cannot effectively counter packet loss under stringent band…

cs.IT2025

Way to Build Native AI-driven 6G Air Interface: Principles, Roadmap, and Outlook

Ping Zhang, Kai Niu, Yiming Liu +8

Artificial intelligence (AI) is expected to serve as a foundational capability across the entire lifecycle of 6G networks, spanning design, deployment, and operation. This article…

cs.IT2025★ 1 cited

Synonymous Variational Inference for Perceptual Image Compression

Zijian Liang, Kai Niu, Changshuo Wang +2

Recent contributions of semantic information theory reveal the set-element relationship between semantic and syntactic information, represented as synonymous relationships. In this…

cs.IT2025

Neural Coding Is Not Always Semantic: Toward the Standardized Coding Workflow in Semantic Communications

Hai-Long Qin, Jincheng Dai, Sixian Wang +5

Semantic communication, leveraging advanced deep learning techniques, emerges as a new paradigm that meets the requirements of next-generation wireless networks. However, current s…

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