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Liang Wu

21 papers hereh-index 272.8k citations225 works total

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

author position
  • first author1
  • middle author16
  • last author1

Across the 18 of 21 papers where every author was matched, so the position is known.

fields
  • cs.IT12
  • eess.SP6
  • eess.SY2
  • cs.AR1
same name
  • Liang Wu — 26 papers, h 18
  • Liang Wu — 24 papers, h 22
  • Liang Wu — 16 papers, h 4
  • Liang Wu — 12 papers, h 4
  • Liang Wu — 9 papers, h 3
  • Liang Wu — 8 papers, 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
20182026
most citedParallel in-memory wireless computing

61 citations · 132 across the 21 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.AR2023★ 61 cited

Parallel in-memory wireless computing

Cong Wang, Gong-Jie Ruan, Zai-Zheng Yang +13

Parallel wireless digital communication with ultralow power consumption is critical for emerging edge technologies such as 5G and Internet of Things. However, the physical separati…

eess.SP2023★ 3 cited

Channel Modeling for Heterogeneous Vehicular ISAC System with Shared Clusters

Baiping Xiong, Zaichen Zhang, Yingmeng Ge +4

In this paper, we consider the channel modeling of a heterogeneous vehicular integrated sensing and communication (ISAC) system, where a dual-functional multi-antenna base station…

cs.IT2023

Downlink Precoding for Cell-free FBMC/OQAM Systems With Asynchronous Reception

Yuhao Qi, Jian Dang, Zaichen Zhang +2

In this work, an efficient precoding design scheme is proposed for downlink cell-free distributed massive multiple-input multiple-output (DM-MIMO) filter bank multi-carrier (FBMC)…

cs.IT2023★ 15 cited

Pilot-Free Unsourced Random Access Via Dictionary Learning and Error-Correcting Codes

Zhentian Zhang, Jian Dang, Zaichen Zhang +3

Massive machine-type communications (mMTC) or massive access is a critical scenario in the fifth generation (5G) and the future cellular network. With the surging density of device…

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