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Minghui Zhu

33 papers hereh-index 274.2k citations121 works total

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

author position
  • first author8
  • middle author17
  • last author8

Across the 33 of 33 papers where every author was matched, so the position is known.

fields
  • math.OC17
  • cs.CR4
  • cs.RO4
  • eess.SY4
  • cs.LG2
  • cs.GT1
same name
  • Minghui Zhu — 3 papers, h 6
  • Minghui Zhu — 1 paper, h 4
  • Minghui Zhu — 1 paper, h 5

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
20102023
most citedOn distributed convex optimization under inequality and equality constraints via primal-dual subgradient methods

45 citations · 165 across the 32 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CR2018★ 9 cited

ROPNN: Detection of ROP Payloads Using Deep Neural Networks

Xusheng Li, Zhisheng Hu, Haizhou Wang +4

Return-oriented programming (ROP) is a code reuse attack that chains short snippets of existing code to perform arbitrary operations on target machines. Existing detection methods…

cs.CR2018★ 8 cited

Privacy preserving distributed optimization using homomorphic encryption

Yang Lu, Minghui Zhu

This paper studies how a system operator and a set of agents securely execute a distributed projected gradient-based algorithm. In particular, each participant holds a set of probl…

eess.SY2018★ 1 cited

Nonlinear Unknown Input and State Estimation Algorithm in Mobile Robots

Pinyao Guo, Hunmin Kim, Nurali Virani +3

This technical report provides the description and the derivation of a novel nonlinear unknown input and state estimation algorithm (NUISE) for mobile robots. The algorithm is desi…

math.OC2018

Pareto optimal multi-robot motion planning

Guoxiang Zhao, Minghui Zhu

This paper studies a class of multi-robot coordination problems where a team of robots aim to reach their goal regions with minimum time and avoid collisions with obstacles and oth…

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