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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 2021Show all

3 papers · 1 filter

cs.LG2021★ 15 cited

AnchorGAE: General Data Clustering via O(n) Bipartite Graph Convolution

Hongyuan Zhang, Jiankun Shi, Rui Zhang +1

Since the representative capacity of graph-based clustering methods is usually limited by the graph constructed on the original features, it is attractive to find whether graph neu…

cs.LG2021

Non-Gradient Manifold Neural Network

Rui Zhang, Ziheng Jiao, Hongyuan Zhang +1

Deep neural network (DNN) generally takes thousands of iterations to optimize via gradient descent and thus has a slow convergence. In addition, softmax, as a decision layer, may i…

cs.LG2021

Enhanced Principal Component Analysis under A Collaborative-Robust Framework

Rui Zhang, Hongyuan Zhang, Xuelong Li

Principal component analysis (PCA) frequently suffers from the disturbance of outliers and thus a spectrum of robust extensions and variations of PCA have been developed. However,…

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