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Tao Wang

4 papers here

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

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG1
  • quant-ph1
ORCID 0000-0001-7044-4377
same name
  • Tao Wang — 16 papers, h 21
  • Tao Wang — 15 papers
  • Tao Wang — 13 papers, h 24
  • Tao Wang — 11 papers, h 52
  • Tao Wang — 9 papers, h 18
  • Tao Wang — 9 papers

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
20212024
most citedPowerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily

5 citations · 6 across the 4 of their papers we have counts for

collaborators

4 papers

quant-ph2024

Integrated distributed sensing and quantum communication networks

Yuehan Xu, Tao Wang, Peng Huang +1

The integration of sensing and communication can achieve ubiquitous sensing while enabling ubiquitous communication. Within the gradually improving global communication, the integr…

cs.CV2023

Boost Adversarial Transferability by Uniform Scale and Mix Mask Method

Tao Wang, Zijian Ying, Qianmu Li +1

Adversarial examples generated from surrogate models often possess the ability to deceive other black-box models, a property known as transferability. Recent research has focused o…

cs.CV2022★ 1 cited

Deep Probabilistic Graph Matching

He Liu, Tao Wang, Yidong Li +3

Most previous learning-based graph matching algorithms solve the \textit{quadratic assignment problem} (QAP) by dropping one or more of the matching constraints and adopting a rela…

cs.LG2021★ 5 cited

Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily

Tao Wang, Rui Wang, Di Jin +2

Graph Convolutional Networks (GCNs) have been widely applied in various fields due to their significant power on processing graph-structured data. Typical GCN and its variants work…

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