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Xi Zheng

19 papers hereh-index 11348 citations21 works total

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

author position
  • first author2
  • middle author3
  • last author12

Across the 17 of 19 papers where every author was matched, so the position is known.

fields
  • cs.SE7
  • cs.LG4
  • cs.CR3
  • cs.DC2
  • cs.RO2
  • cs.HC1
same name
  • Xi Zheng — 20 papers, h 8
  • Xi Zheng — 6 papers, h 9
  • Xi Zheng — 5 papers, h 11
  • Xi Zheng — 4 papers, h 6
  • Xi Zheng — 3 papers, h 2
  • Xi Zheng — 3 papers, 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
20202026
most citedSCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems

19 citations · 62 across the 19 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2023

LGL-BCI: A Motor-Imagery-Based Brain-Computer Interface with Geometric Learning

Jianchao Lu, Yuzhe Tian, Yang Zhang +2

Brain--computer interfaces are groundbreaking technology whereby brain signals are used to control external devices. Despite some advances in recent years, electroencephalogram (EE…

cs.LG2022

An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning

Tiehua Zhang, Yuze Liu, Zhishu Shen +4

Spatial-temporal data contains rich information and has been widely studied in recent years due to the rapid development of relevant applications in many fields. For instance, medi…

cs.LG2021

Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses

Yao Deng, Tiehua Zhang, Guannan Lou +3

The rapid development of artificial intelligence, especially deep learning technology, has advanced autonomous driving systems (ADSs) by providing precise control decisions to coun…

cs.LG2021★ 19 cited

SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems

Chenhao Xu, Jiaqi Ge, Yong Li +5

Federated learning (FL) enables collaborative training of a shared model on edge devices while maintaining data privacy. FL is effective when dealing with independent and identical…

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