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Yongzhi Li

4 papers here

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

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.IT2
ORCID 0000-0003-1586-8999
same name
  • Yongzhi Li — 2 papers
  • Yongzhi Li — 1 paper, h 4

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
20162023
most citedChannel Estimation and Uplink Achievable Rates in One-Bit Massive MIMO Systems

34 citations · 52 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023

Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-commerce

Yang Jin, Yongzhi Li, Zehuan Yuan +1

This paper aims to establish a generic multi-modal foundation model that has the scalable capability to massive downstream applications in E-commerce. Recently, large-scale vision-…

cs.CV2022★ 15 cited

Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding

Yang Jin, Yongzhi Li, Zehuan Yuan +1

Spatio-Temporal video grounding (STVG) focuses on retrieving the spatio-temporal tube of a specific object depicted by a free-form textual expression. Existing approaches mainly tr…

cs.IT2016★ 3 cited

Downlink Achievable Rate Analysis in Massive MIMO Systems with One-Bit DACs

Yongzhi Li, Cheng Tao, A. Lee Swindlehurst +2

In this letter, we investigate the downlink performance of massive multiple-input multiple-output (MIMO) systems where the base station is equipped with one-bit analogto-digital/di…

cs.IT2016★ 34 cited

Channel Estimation and Uplink Achievable Rates in One-Bit Massive MIMO Systems

Yongzhi Li, Cheng Tao, Liu Liu +2

This paper considers channel estimation and achievable rates for the uplink of a massive multiple-input multiple-output (MIMO) system where the base station is equipped with one-bi…

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