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researcher

Sheng Chen

19 papers here

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

author position
  • first author1
  • middle author6
  • last author8

Across the 15 of 19 papers where every author was matched, so the position is known.

fields
  • cs.IT8
  • cs.IR3
  • eess.SP3
  • cs.NI2
  • cs.CL1
  • math.CO1
ORCID 0000-0001-6882-600X
same name
  • Sheng Chen — 9 papers, h 47
  • Sheng Chen — 6 papers, h 8
  • Sheng Chen — 5 papers, h 6
  • Sheng Chen — 5 papers
  • Sheng Chen — 4 papers, h 12
  • Sheng Chen — 3 papers, h 7

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
20142025
most citedJoint Optimization of Relay Selection and Transmission Scheduling for UAV-Aided mmWave Vehicular Networks

41 citations · 89 across the 19 of their papers we have counts for

collaborators
Showing eess.SPShow all

3 papers · 1 filter

eess.SP2025★ 4 cited

High-Speed Ultra-Energy-Efficient Memristor-Based Massive MIMO SIC Detector Circuit with Hybrid Analog-Digital Computing Architecture

Jia-Hui Bi, Shaoshi Yang, Sheng Chen +1

The emerging memristor crossbar array based computing circuits exhibit computing speeds and energy efficiency far surpassing those of traditional digital processors. This type of c…

eess.SP2025★ 1 cited

Cross-Link Interference Mitigation With Over-the-Air Pilot Forwarding for Dynamic TDD

Jia-Hui Bi, Shaoshi Yang, Xiao-Yang Wang +2

Dynamic time-division duplex (D-TDD) aided mobile communication systems bear the potential to achieve significantly higher spectral efficiency than traditional static TDD based sys…

eess.SP2023★ 1 cited

Joint Block-Sparse Recovery Using Simultaneous BOMP/BOLS

Liyang Lu, Zhaocheng Wang, Sheng Chen

We consider the greedy algorithms for the joint recovery of high-dimensional sparse signals based on the block multiple measurement vector (BMMV) model in compressed sensing (CS).…

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