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researcher

Xin Liu

University of California, Davis

5 papers hereh-index 385.1k citations123 works total

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

author position
  • middle author3
  • last author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.IT4
  • cs.LG1
affiliations
  • University of California, Davis
Homepage
same name
  • Xin Liu — 53 papers, h 33
  • Xin Liu — 41 papers, h 48
  • Xin Liu — 24 papers, h 15
  • Xin Liu — 16 papers, h 11
  • Xin Liu — 14 papers, h 10
  • Xin Liu — 13 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
20122019
most citedAdaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems

10 citations · 10 across the 3 of their papers we have counts for

collaborators
Showing cs.ITShow all

4 papers · 1 filter

cs.IT2019★ 10 cited

Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems

Yuxuan Sun, Xueying Guo, Jinhui Song +4

The vehicular edge computing (VEC) system integrates the computing resources of vehicles, and provides computing services for other vehicles and pedestrians with task offloading. H…

cs.IT2018

Learning-Based Task Offloading for Vehicular Cloud Computing Systems

Yuxuan Sun, Xueying Guo, Sheng Zhou +3

Vehicular cloud computing (VCC) is proposed to effectively utilize and share the computing and storage resources on vehicles. However, due to the mobility of vehicles, the network…

cs.IT2012

Laxity-Based Opportunistic Scheduling with Flow-Level Dynamics and Deadlines

Huasen Wu, Youguang Zhang, Xin Liu

Many data applications in the next generation cellular networks, such as content precaching and video progressive downloading, require flow-level quality of service (QoS) guarantee…

cs.IT2012

Fast Adaptive S-ALOHA Scheme for Event-driven M2M Communications (Journal version)

Huasen Wu, Chenxi Zhu, Richard J. La +2

Supporting massive device transmission is challenging in Machine-to-Machine (M2M) communications. Particularly, in event-driven M2M communications, a large number of devices activa…

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