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Rong Wang

20 papers hereh-index 395.6k citations242 works total

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

author position
  • middle author17
  • last author1

Across the 18 of 20 papers where every author was matched, so the position is known.

fields
  • cs.LG17
  • cs.CV1
  • cs.RO1
  • eess.IV1
same name
  • Rong Wang — 43 papers, h 13
  • Rong Wang — 26 papers, h 14
  • Rong Wang — 17 papers, h 6
  • Rong Wang — 15 papers, h 9
  • Rong Wang — 9 papers, h 1
  • Rong Wang — 8 papers

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
20182025
most citedFeature Learning Viewpoint of AdaBoost and a New Algorithm

82 citations · 123 across the 20 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.LG2023★ 1 cited

Multi-class Support Vector Machine with Maximizing Minimum Margin

Zhezheng Hao, Feiping Nie, Rong Wang

Support Vector Machine (SVM) stands out as a prominent machine learning technique widely applied in practical pattern recognition tasks. It achieves binary classification by maximi…

cs.LG2023★ 31 cited

A Novel Normalized-Cut Solver with Nearest Neighbor Hierarchical Initialization

Feiping Nie, Jitao Lu, Danyang Wu +2

Normalized-Cut (N-Cut) is a famous model of spectral clustering. The traditional N-Cut solvers are two-stage: 1) calculating the continuous spectral embedding of normalized Laplaci…

cs.LG2023

Joint Feature and Differentiable k-NN Graph Learning using Dirichlet Energy

Lei Xu, Lei Chen, Rong Wang +2

Feature selection (FS) plays an important role in machine learning, which extracts important features and accelerates the learning process. In this paper, we propose a deep FS meth…

cs.LG2023★ 3 cited

Exploring the cloud of feature interaction scores in a Rashomon set

Sichao Li, Rong Wang, Quanling Deng +1

Interactions among features are central to understanding the behavior of machine learning models. Recent research has made significant strides in detecting and quantifying feature…

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