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Hao Zhu

4 papers hereh-index 222.4k citations63 works total

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

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.IT2
  • eess.SY1
  • stat.AP1
same name
  • Hao Zhu — 31 papers, h 26
  • Hao Zhu — 17 papers, h 10
  • Hao Zhu — 17 papers, h 6
  • Hao Zhu — 17 papers, h 9
  • Hao Zhu — 13 papers, h 11
  • Hao Zhu — 12 papers, h 15

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
20102012
most citedSparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling

415 citations · 457 across the 3 of their papers we have counts for

collaborators

4 papers

stat.AP2012★ 4 cited

Robust Power System State Estimation for the Nonlinear AC Flow Model

Hao Zhu, Georgios B. Giannakis

An important monitoring task for power systems is accurate estimation of the system operation state. Under the nonlinear AC power flow model, the state estimation (SE) problem is i…

cs.IT2011★ 38 cited

Precoder Design for Physical Layer Multicasting

Hao Zhu, Narayan Prasad, Sampath Rangarajan

This paper studies the instantaneous rate maximization and the weighted sum delay minimization problems over a K-user multicast channel, where multiple antennas are available at th…

eess.SY2011

Lassoing Line Outages in the Smart Power Grid

Hao Zhu, Georgios B. Giannakis

Fast and accurate unveiling of power line outages is of paramount importance not only for preventing faults that may lead to blackouts, but also for routine monitoring and control…

cs.IT2010★ 415 cited

Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling

Hao Zhu, Geert Leus, Georgios B. Giannakis

Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data…

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