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Xiaoming Tao

10 papers hereh-index 253.5k citations179 works total

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

author position
  • middle author9
  • last author1

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • eess.SP5
  • cs.CV2
  • cs.IT1
  • cs.MM1
  • eess.IV1
same name
  • Xiaoming Tao — 12 papers, h 11
  • Xiaoming Tao — 9 papers, h 12
  • Xiaoming Tao — 5 papers, h 0
  • Xiaoming Tao — 3 papers, h 2
  • Xiaoming Tao — 2 papers, h 7
  • Xiaoming Tao — 2 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
20162022
most citedSemantic Communications: Principles and Challenges

272 citations · 343 across the 9 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

eess.SP2021

Task-Oriented Multi-User Semantic Communications

Huiqiang Xie, Zhijin Qin, Xiaoming Tao +1

While semantic communications have shown the potential in the case of single-modal single-users, its applications to the multi-user scenario remain limited. In this paper, we inves…

eess.IV2021

Perceptual Image Restoration with High-Quality Priori and Degradation Learning

Chaoyi Han, Yiping Duan, Xiaoming Tao +1

Perceptual image restoration seeks for high-fidelity images that most likely degrade to given images. For better visual quality, previous work proposed to search for solutions with…

eess.SP2021

MEC-Empowered Non-Terrestrial Network for 6G Wide-Area Time-Sensitive Internet of Things

Chengxiao Liu, Wei Feng, Xiaoming Tao +1

In the upcoming sixth-generation (6G) era, the demand for constructing a wide-area time-sensitive Internet of Things (IoT) keeps increasing. As conventional cellular technologies a…

eess.SP2021★ 40 cited

Deep Learning Based Channel Covariance Matrix Estimation with User Location and Scene Images

Weihua Xu, Feifei Gao, Jianhua Zhang +2

Channel covariance matrix (CCM) is one critical parameter for designing the communications systems. In this paper, a novel framework of the deep learning (DL) based CCM estimation…

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