L. Wang

Publications1,043
h-index57
Citations16,176
Highly Influential Citations648
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  • Publications
  • Influence
In defense of soft-assignment coding
TLDR
In object recognition, soft-assignment coding enjoys computational efficiency and conceptual simplicity. Expand
  • 447
  • 62
  • PDF
On Similarity Preserving Feature Selection
TLDR
We propose a new "Similarity Preserving Feature Selection" framework in an explicit and rigorous way. Expand
  • 243
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  • PDF
Efficient Spectral Feature Selection with Minimum Redundancy
TLDR
We propose a novel spectral feature selection algorithm to handle feature redundancy, adopting an embedded model. Expand
  • 217
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  • PDF
Generation of Gene-Modified Cynomolgus Monkey via Cas9/RNA-Mediated Gene Targeting in One-Cell Embryos
Monkeys serve as important model species for studying human diseases and developing therapeutic strategies, yet the application of monkeys in biomedical researches has been significantly hindered by… Expand
  • 809
  • 22
  • PDF
Feature Selection with Kernel Class Separability
  • L. Wang
  • Mathematics, Medicine
  • IEEE Transactions on Pattern Analysis and Machine…
  • 1 September 2008
TLDR
In this work, a class separability criterion is developed in a high-dimensional kernel space and feature selection is performed by the maximization of this criterion. Expand
  • 186
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AdaBoost with SVM-based component classifiers
TLDR
The use of SVM (Support Vector Machine) as component classifier in AdaBoost may seem like going against the grain of the Boosting principle since SVM is not an easy classifier to train. Expand
  • 287
  • 16
  • PDF
Generalized 2D principal component analysis for face image representation and recognition
TLDR
In the tasks of image representation, recognition and retrieval, a 2D image is usually transformed into a 1D long vector and modelled as a point in a high-dimensional vector space. Expand
  • 166
  • 16
  • PDF
Revenue Management for a Primary-Care Clinic in the Presence of Patient Choice
TLDR
In addition to having uncertain patient arrivals, primary-care clinics also face uncertainty arising from patient choices. Expand
  • 191
  • 16
  • PDF
Multilabel SVM active learning for image classification
TLDR
We proposed a multi-label SVM active learning method and used it to solve multi- label image classification problem. Expand
  • 110
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  • PDF
A Stochastic Inventory Model with Trade Credit
Suppliers routinely sell goods to retailers on credit. Common credit terms are tantamount to a schedule of declining discounts (escalating penalties) that depend on how long the retailer takes to pay… Expand
  • 134
  • 14
  • PDF