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Yanfang Ye

19 papers hereh-index 439.6k citations108 works total

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

author position
  • first author2
  • middle author8
  • last author9

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • cs.LG8
  • cs.CR5
  • cs.SI3
  • cs.CL1
  • cs.IR1
  • eess.IV1
same name
  • Yanfang Ye — 39 papers, h 21
  • Yanfang Ye — 24 papers, h 5
  • Yanfang Ye — 18 papers, h 6
  • Yanfang Ye — 13 papers, h 7
  • Yanfang Ye — 4 papers, h 1
  • Yanfang Ye — 4 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
20182023
most citedA Framework for Enhancing Deep Neural Networks Against Adversarial Malware

60 citations · 307 across the 18 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.LG2019★ 15 cited

Hyperbolic Graph Attention Network

Yiding Zhang, Xiao Wang, Xunqiang Jiang +2

Graph neural network (GNN) has shown superior performance in dealing with graphs, which has attracted considerable research attention recently. However, most of the existing GNN mo…

eess.IV2019

Joint Demosaicing and Super-Resolution (JDSR): Network Design and Perceptual Optimization

Xuan Xu, Yanfang Ye, Xin Li

Image demosaicing and super-resolution are two important tasks in color imaging pipeline. So far they have been mostly independently studied in the open literature of deep learning…

cs.LG2019★ 1 cited

Temporal Network Embedding with Micro- and Macro-dynamics

Yuanfu Lu, Xiao Wang, Chuan Shi +2

Network embedding aims to embed nodes into a low-dimensional space, while capturing the network structures and properties. Although quite a few promising network embedding methods…

cs.SI2019★ 11 cited

Heterogeneous Graph Attention Network

Xiao Wang, Houye Ji, Chuan Shi +4

Graph neural network, as a powerful graph representation technique based on deep learning, has shown superior performance and attracted considerable research interest. However, it…

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