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X. Qu

39 papers hereh-index 364.4k citations151 works total

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

author position
  • first author3
  • middle author7
  • last author22

Across the 32 of 39 papers where every author was matched, so the position is known.

fields
  • physics.med-ph11
  • eess.IV10
  • eess.SP6
  • cs.LG4
  • cs.CV2
  • stat.ML2
same name
  • X. Qu — 18 papers, h 13
  • X. Qu — 9 papers, h 52
  • X. Qu — 5 papers, h 13
  • X. Qu — 3 papers, h 6
  • X. Qu — 3 papers, h 1
  • X. Qu — 2 papers, h 4

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
20132025
most citedHankel Matrix Nuclear Norm Regularized Tensor Completion for N-dimensional Exponential Signals

114 citations · 354 across the 39 of their papers we have counts for

collaborators
Showing 2015Show all

3 papers · 1 filter

physics.med-ph2015★ 5 cited

Projected Iterative Soft-thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging

Yunsong Liu, Zhifang Zhan, Jian-Feng Cai +3

Compressed sensing has shown great potentials in accelerating magnetic resonance imaging. Fast image reconstruction and high image quality are two main issues faced by this new tec…

cs.IT2015★ 2 cited

Robust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstruction

Jian-Feng Cai, Xiaobo Qu, Weiyu Xu +1

This paper explores robust recovery of a superposition of R distinct complex exponential functions from a few random Gaussian projections. We assume that the signal of interest i…

cs.CV2015★ 17 cited

Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction

Zhifang Zhan, Jian-Feng Cai, Di Guo +3

Objective: Improve the reconstructed image with fast and multi-class dictionaries learning when magnetic resonance imaging is accelerated by undersampling the k-space data. Methods…

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