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Lifeng Zhou

42 papers hereh-index 14555 citations29 works total

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

author position
  • first author9
  • middle author18
  • last author14

Across the 41 of 42 papers where every author was matched, so the position is known.

fields
  • cs.RO33
  • cs.CV3
  • cs.AI2
  • eess.SY2
  • cs.CL1
  • cs.MA1
same name
  • Lifeng Zhou — 9 papers, h 9
  • Lifeng Zhou — 4 papers, h 2
  • Lifeng Zhou — 4 papers, h 3
  • Lifeng Zhou — 4 papers, h 4
  • Lifeng Zhou — 4 papers, h 2
  • Lifeng Zhou — 2 papers, h 3

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
20172026
most citedMulti-Robot Coordination and Planning in Uncertain and Adversarial Environments

59 citations · 183 across the 41 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

eess.SY2018★ 1 cited

Strategies to Inject Spoofed Measurement Data

Zhongshun Zhang, Lifeng Zhou, Pratap Tokekar

We study the problem of designing false measurement data that is injected to corrupt and mislead the output of a Kalman filter. Unlike existing works that focus on detection and fi…

cs.RO2018★ 1 cited

Resilient Active Target Tracking with Multiple Robots

Lifeng Zhou, Vasileios Tzoumas, George J. Pappas +1

The problem of target tracking with multiple robots consists of actively planning the motion of the robots to track the targets. A major challenge for practical deployments is to m…

cs.RO2018★ 1 cited

Tree Search Techniques for Minimizing Detectability and Maximizing Visibility

Zhongshun Zhang, Yoonchang Sung, Lifeng Zhou +3

We introduce and study the problem of planning a trajectory for an agent to carry out a scouting mission while avoiding being detected by an adversarial guard. This introduces an a…

cs.AI2018★ 16 cited

An Approximation Algorithm for Risk-averse Submodular Optimization

Lifeng Zhou, Pratap Tokekar

We study the problem of incorporating risk while making combinatorial decisions under uncertainty. We formulate a discrete submodular maximization problem for selecting a set using…

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