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Luping Zhou

30 papers hereh-index 397k citations128 works total

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

author position
  • first author1
  • middle author20
  • last author8

Across the 29 of 30 papers where every author was matched, so the position is known.

fields
  • cs.CV23
  • cs.LG4
  • eess.IV3
same name
  • Luping Zhou — 11 papers, h 16
  • Luping Zhou — 11 papers, h 7
  • Luping Zhou — 7 papers, h 4
  • Luping Zhou — 6 papers, h 4
  • Luping Zhou — 5 papers, h 7
  • Luping Zhou — 5 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
20132023
most citedASMFS: Adaptive-Similarity-based Multi-modality Feature Selection for Classification of Alzheimer's Disease

94 citations · 291 across the 30 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2023★ 1 cited

Towards Semi-supervised Learning with Non-random Missing Labels

Yue Duan, Zhen Zhao, Lei Qi +3

Semi-supervised learning (SSL) tackles the label missing problem by enabling the effective usage of unlabeled data. While existing SSL methods focus on the traditional setting, a p…

cs.LG2022★ 14 cited

RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning

Yue Duan, Lei Qi, Lei Wang +2

In this work, we propose Reciprocal Distribution Alignment (RDA) to address semi-supervised learning (SSL), which is a hyperparameter-free framework that is independent of confiden…

cs.LG2016

OPML: A One-Pass Closed-Form Solution for Online Metric Learning

Wenbin Li, Yang Gao, Lei Wang +3

To achieve a low computational cost when performing online metric learning for large-scale data, we present a one-pass closed-form solution namely OPML in this paper. Typically, th…

cs.LG2013

Multiple Kernel Learning in the Primal for Multi-modal Alzheimer's Disease Classification

Fayao Liu, Luping Zhou, Chunhua Shen +1

To achieve effective and efficient detection of Alzheimer's disease (AD), many machine learning methods have been introduced into this realm. However, the general case of limited t…

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