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Wei Han

24 papers hereh-index 9273 citations42 works total

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

author position
  • middle author16
  • last author7

Across the 23 of 24 papers where every author was matched, so the position is known.

fields
  • cs.IT7
  • cs.CL5
  • cs.LG4
  • cs.AI2
  • cs.IR2
  • eess.SP2
same name
  • Wei Han — 30 papers, h 33
  • Wei Han — 20 papers, h 46
  • Wei Han — 12 papers, h 8
  • Wei Han — 10 papers, h 11
  • Wei Han — 7 papers, h 2
  • Wei Han — 6 papers, h 8

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
20212026
most citedHigh Perceptual Quality Wireless Image Delivery with Denoising Diffusion Models

28 citations · 43 across the 22 of their papers we have counts for

collaborators
Showing 2022 · cs.ITShow all

4 papers · 2 filters

cs.IT2022★ 8 cited

Semantic Compression with Side Information: A Rate-Distortion Perspective

Tao Guo, Yizhu Wang, Jie Han +3

We consider the semantic rate-distortion problem motivated by task-oriented video compression. The semantic information corresponding to the task, which is not observable to the en…

cs.IT2022

Lossy Computing with Side Information via Multi-Hypergraphs

Deheng Yuan, Tao Guo, Bo Bai +1

We consider a problem of coding for computing, where the decoder wishes to estimate a function of its local message and the source message at the encoder within a given distortion.…

cs.IT2022

TOSE: A Fast Capacity Determination Algorithm Based on Random Matrix Theory

Dandan Jiang, Han Hao, Lu Yang +3

Wireless network capacity is one of the most important performance metrics for wireless communication networks. Future wireless networks will be composed of extremely large number…

cs.IT2022

An Efficient Two-Stage SPARC Decoder for Massive MIMO Unsourced Random Access

Juntao You, Wenjie Wang, Shansuo Liang +2

In this paper, we study a concatenate coding scheme based on sparse regression code (SPARC) and tree code for unsourced random access in massive multiple-input and multiple-output…

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