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researcher

N. Huang

18 papers hereh-index 8260 citations22 works total

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

author position
  • first author5
  • middle author12
  • last author1

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

fields
  • cs.LG7
  • stat.ML6
  • cs.CL3
  • cs.RO1
  • cs.SI1
same name
  • N. Huang — 69 papers, h 23
  • N. Huang — 23 papers, h 42
  • N. Huang — 7 papers, h 6
  • N. Huang — 4 papers, h 2
  • N. Huang — 3 papers, h 5
  • N. Huang — 2 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
20202026
most citedA Short Tutorial on The Weisfeiler-Lehman Test And Its Variants

38 citations · 82 across the 18 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.LG2026

Subzero matrix completion for sparse data analysis: large-scale learning of latent low-rank structure

Lawrence K. Saul, Ningyuan Huang, Dennis Bollweg +2

We investigate when a sparse nonnegative matrix can be recovered from a real-valued matrix of much lower rank by zeroing out its negative elements. The potential for such decomposi…

cs.CL2026

Attention to Mamba: A Recipe for Cross-Architecture Distillation

Abhinav Moudgil, Ningyuan Huang, Eeshan Gunesh Dhekane +3

State Space Models (SSMs) such as Mamba have become a popular alternative to Transformer models, due to their reduced memory consumption and higher throughput at generation compare…

cs.LG2026

Any-Subgroup Equivariant Networks via Symmetry Breaking

Abhinav Goel, Derek Lim, Hannah Lawrence +2

The inclusion of symmetries as an inductive bias, known as equivariance, often improves generalization on geometric data (e.g. grids, sets, and graphs). However, equivariant archit…

cs.RO2026

World Guidance: World Modeling in Condition Space for Action Generation

Yue Su, Sijin Chen, Haixin Shi +7

Leveraging future observation modeling to facilitate action generation presents a promising avenue for enhancing the capabilities of Vision-Language-Action (VLA) models. However, e…

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