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Shaoshan Liu

32 papers hereh-index 283.1k citations115 works total

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

author position
  • first author7
  • middle author18
  • last author7

Across the 32 of 32 papers where every author was matched, so the position is known.

fields
  • cs.RO16
  • cs.AR6
  • cs.DC4
  • eess.IV2
  • cs.AI1
  • cs.CV1
same name
  • Shaoshan Liu — 8 papers, h 3
  • Shaoshan Liu — 3 papers
  • Shaoshan Liu — 3 papers, h 7
  • Shaoshan Liu — 3 papers, h 5
  • Shaoshan Liu — 2 papers, h 7
  • Shaoshan Liu — 1 paper, h 1

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
20172022
most citedCAAD: Computer Architecture for Autonomous Driving

23 citations · 85 across the 22 of their papers we have counts for

collaborators
Showing cs.DCShow all

4 papers · 1 filter

cs.DC2021★ 2 cited

4C: A Computation, Communication, and Control Co-Design Framework for CAVs

Liangkai Liu, Shaoshan Liu, Weisong Shi

Connected and autonomous vehicles (CAVs) are promising due to their potential safety and efficiency benefits and have attracted massive investment and interest from government agen…

cs.DC2018★ 17 cited

PI-Edge: A Low-Power Edge Computing System for Real-Time Autonomous Driving Services

Jie Tang, Shaoshan Liu, Bo Yu +1

To simultaneously enable multiple autonomous driving services on affordable embedded systems, we designed and implemented π-Edge, a complete edge computing framework for autonomous…

cs.DC2018

CAVBench: A Benchmark Suite for Connected and Autonomous Vehicles

Yifan Wang, Shaoshan Liu, Xiaopei Wu +1

Connected and autonomous vehicles (CAVs) have recently attracted a significant amount of attention both from researchers and industry. Numerous studies targeting algorithms, softwa…

cs.DC2017

Distributed Simulation Platform for Autonomous Driving

Jie Tang, Shaoshan Liu, Chao Wang +1

Autonomous vehicle safety and reliability are the paramount requirements when developing autonomous vehicles. These requirements are guaranteed by massive functional and performanc…

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