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Shangguang Wang

17 papers hereh-index 5510.3k citations308 works total

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

author position
  • first author2
  • middle author10
  • last author5

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

fields
  • cs.NI6
  • cs.DC4
  • cs.LG3
  • cs.IR2
  • cs.CY1
  • eess.SY1
same name
  • Shangguang Wang — 25 papers, h 21
  • Shangguang Wang — 7 papers, h 3
  • Shangguang Wang — 6 papers, h 13
  • Shangguang Wang — 5 papers, h 4
  • Shangguang Wang — 1 paper
  • Shangguang Wang — 1 paper, h 2

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
20172023
most citedA Blockchain-enabled Trustless Crowd-Intelligence Ecosystem on Mobile Edge Computing

121 citations · 306 across the 17 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.NI2022★ 22 cited

From Earth to Space: A First Deployment of 5G Core Network on Satellite

Ruolin Xing, Xiao Ma, Ao Zhou +2

Recent developments in the aerospace industry have led to a dramatic reduction in the manufacturing and launch costs of low Earth orbit satellites. The new trend enables the paradi…

eess.SY2022

Towards Sustainable Satellite Edge Computing

Qing Li, Shangguang Wang, Xiao Ma +2

Recently, Low Earth Orbit (LEO) satellites experience rapid development and satellite edge computing emerges to address the limitation of bent-pipe architecture in existing satelli…

cs.NI2022

Incorporating Distributed DRL into Storage Resource Optimization of Space-Air-Ground Integrated Wireless Communication Network

Chao Wang, Lei Liu, Chunxiao Jiang +3

Space-air-ground integrated network (SAGIN) is a new type of wireless network mode. The effective management of SAGIN resources is a prerequisite for high-reliability communication…

cs.LG2022★ 2 cited

Benchmarking of DL Libraries and Models on Mobile Devices

Qiyang Zhang, Xiang Li, Xiangying Che +6

Deploying deep learning (DL) on mobile devices has been a notable trend in recent years. To support fast inference of on-device DL, DL libraries play a critical role as algorithms…

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