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researcher

Ming Yan

4 papers here

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

author position
  • middle author4

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

fields
  • cs.LG2
  • cs.CV1
  • cs.MM1
ORCID 0000-0002-8686-3530
same name
  • Ming Yan — 4 papers, h 81
  • Ming Yan — 3 papers
  • Ming Yan — 3 papers, h 22
  • Ming Yan — 1 paper
  • Ming Yan — 1 paper

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
20142019
most citedManifold Denoising by Nonlinear Robust Principal Component Analysis

9 citations · 12 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2019★ 9 cited

Manifold Denoising by Nonlinear Robust Principal Component Analysis

He Lyu, Ningyu Sha, Shuyang Qin +3

This paper extends robust principal component analysis (RPCA) to nonlinear manifolds. Suppose that the observed data matrix is the sum of a sparse component and a component drawn f…

cs.CV2017★ 3 cited

Mixed one-bit compressive sensing with applications to overexposure correction for CT reconstruction

Xiaolin Huang, Yan Xia, Lei Shi +4

When a measurement falls outside the quantization or measurable range, it becomes saturated and cannot be used in classical reconstruction methods. For example, in C-arm angiograph…

cs.LG2016

Asynchronous Multi-Task Learning

Inci M. Baytas, Ming Yan, Anil K. Jain +1

Many real-world machine learning applications involve several learning tasks which are inter-related. For example, in healthcare domain, we need to learn a predictive model of a ce…

cs.MM2014

Fast Adaptive Algorithm for Robust Evaluation of Quality of Experience

Qianqian Xu, Ming Yan, Yuan Yao

Outlier detection is an integral part of robust evaluation for crowdsourceable Quality of Experience (QoE) and has attracted much attention in recent years. In QoE for multimedia,…

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