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Hong Cheng

18 papers hereh-index 5512.1k citations178 works total

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

author position
  • middle author9
  • last author7

Across the 16 of 18 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.SI5
  • cs.DB3
  • cs.CL2
  • cs.CV1
  • cs.DS1
same name
  • Hong Cheng — 12 papers, h 6
  • Hong Cheng — 10 papers, h 6
  • Hong Cheng — 9 papers, h 7
  • Hong Cheng — 8 papers, h 37
  • Hong Cheng — 7 papers, h 5
  • Hong Cheng — 7 papers, h 1

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
20122021
most citedAdversarial Attack on Community Detection by Hiding Individuals

75 citations · 122 across the 18 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.LG2020★ 5 cited

Graph Autoencoders with Deconvolutional Networks

Jia Li, Tomas Yu, Da-Cheng Juan +3

Recent studies have indicated that Graph Convolutional Networks (GCNs) act as a \emph{low pass} filter in spectral domain and encode smoothed node representations. In this paper, w…

cs.LG2020★ 11 cited

Dirichlet Graph Variational Autoencoder

Jia Li, Tomasyu Yu, Jiajin Li +5

Graph Neural Networks (GNNs) and Variational Autoencoders (VAEs) have been widely used in modeling and generating graphs with latent factors. However, there is no clear explanation…

cs.CL2020★ 3 cited

Joint Embedding in Named Entity Linking on Sentence Level

Wei Shi, Siyuan Zhang, Zhiwei Zhang +2

Named entity linking is to map an ambiguous mention in documents to an entity in a knowledge base. The named entity linking is challenging, given the fact that there are multiple c…

cs.SI2020★ 75 cited

Adversarial Attack on Community Detection by Hiding Individuals

Jia Li, Honglei Zhang, Zhichao Han +3

It has been demonstrated that adversarial graphs, i.e., graphs with imperceptible perturbations added, can cause deep graph models to fail on node/graph classification tasks. In th…

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