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Hongyuan Zhang

School of Computer Science and School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University

29 papers hereh-index 181.1k citations49 works total

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

author position
  • first author4
  • middle author23

Across the 27 of 29 papers where every author was matched, so the position is known.

fields
  • cs.LG16
  • cs.CV9
  • cs.AI1
  • cs.CR1
  • cs.MM1
  • cs.RO1
affiliations
  • School of Computer Science and School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University
same name
  • Hongyuan Zhang — 7 papers, h 3
  • Hongyuan Zhang — 7 papers, h 3
  • Hongyuan Zhang — 3 papers, h 3
  • Hongyuan Zhang — 3 papers, h 4
  • Hongyuan Zhang — 2 papers, h 2
  • Hongyuan Zhang — 1 paper, h 15

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 citedMatrix Completion via Non-Convex Relaxation and Adaptive Correlation Learning

34 citations · 93 across the 29 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

cs.LG2023

Discretize Relaxed Solution of Spectral Clustering via a Non-Heuristic Algorithm

Hongyuan Zhang, Xuelong Li

Spectral clustering and its extensions usually consist of two steps: (1) constructing a graph and computing the relaxed solution; (2) discretizing relaxed solutions. Although the f…

cs.LG2023★ 11 cited

Variational Positive-incentive Noise: How Noise Benefits Models

Hongyuan Zhang, Sida Huang, Yubin Guo +1

A large number of works aim to alleviate the impact of noise due to an underlying conventional assumption of the negative role of noise. However, some existing works show that the…

cs.LG2023

Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One

Hongyuan Zhang, Yanan Zhu, Xuelong Li

Graph neural networks (GNN) suffer from severe inefficiency. It is mainly caused by the exponential growth of node dependency with the increase of layers. It extremely limits the a…

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