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Wenbing Huang

5 papers hereh-index 456 citations8 works total

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

author position
  • middle author1
  • last author3

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • math.AG1
same name
  • Wenbing Huang — 18 papers, h 10
  • Wenbing Huang — 8 papers, h 5
  • Wenbing Huang — 3 papers, h 2
  • Wenbing Huang — 3 papers, h 5
  • Wenbing Huang — 1 paper, h 1
  • Wenbing Huang — 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

collaborators

5 papers

math.AG2026

Smooth projective surfaces with bounded cohomology property II

Sichen Li

Let X be a smooth projective surface with Picard number two, where either X is a geometrically ruled surface or the closed Mori cone is rational polyhedral. In this paper, we c…

cs.LG2026

Planar Symmetric Pattern Generation

Ning Lin, Luxi Chen, Huaguan Chen +4

Generating objects with specific symmetries is essential in various real-world scenarios. However, adapting existing 2D continuous representations to enforce planar group symmetry…

cs.LG2025

Geometric Mixture Models for Electrolyte Conductivity Prediction

Anyi Li, Jiacheng Cen, Songyou Li +3

Accurate prediction of ionic conductivity in electrolyte systems is crucial for advancing numerous scientific and technological applications. While significant progress has been ma…

cs.LG2025

Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?

Jiacheng Cen, Anyi Li, Ning Lin +3

Equivariant Graph Neural Networks (GNNs) that incorporate E(3) symmetry have achieved significant success in various scientific applications. As one of the most successful models,…

cs.LG2025

Fast and Distributed Equivariant Graph Neural Networks by Virtual Node Learning

Yuelin Zhang, Jiacheng Cen, Jiaqi Han +1

Equivariant Graph Neural Networks (GNNs) have achieved remarkable success across diverse scientific applications. However, existing approaches face critical efficiency challenges w…

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