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Zongyi Li

Biographic Data

ID10053995
NAMEZongyi Li
GIVEN NAMESZongyi
FAMILY NAMELi
SIGNATURELI Z
AFFILIATIONSHuazhong University of Science and Technology
ORCID0000-0002-4459-4977
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Too concise to decide? The impact of AI-generated review summaries on tourist decision satisfaction

    Open Access•Yujie Wang, Ziqiong Zhang et al.•ARTICLE•Tourism Management•2026•References: 3

  • Improving the Transferability of Adversarial Attacks on Face Recognition With Beneficial Perturbation Feature Augmentation

    Open Access•Fengfan Zhou, Hefei Ling et al.•ARTICLE•IEEE Transactions on Computational…•2024

    Face recognition (FR) models can be easily fooled by adversarial examples, which are crafted by adding imperceptible perturbations on benign face images. The existence of adversarial face examples poses a great threat to the security of society. To build a more sustainable digital nation, in this article, we improve the transferability of adversarial face examples to expose more blind spots of the existing FR models. Though generating hard sample…

No prominent works on this page.

  • Improving the Transferability of Adversarial Attacks on Face Recognition With Beneficial Perturbation Feature Augmentation

    Open Access•Fengfan Zhou, Hefei Ling et al.•ARTICLE•IEEE Transactions on Computational…•2024

    Face recognition (FR) models can be easily fooled by adversarial examples, which are crafted by adding imperceptible perturbations on benign face images. The existence of adversarial face examples poses a great threat to the security of society. To build a more sustainable digital nation, in this article, we improve the transferability of adversarial face examples to expose more blind spots of the existing FR models. Though generating hard sample…

  • Too concise to decide? The impact of AI-generated review summaries on tourist decision satisfaction

    Open Access•Yujie Wang, Ziqiong Zhang et al.•ARTICLE•Tourism Management•2026•References: 3

Adversarial Robustness in Machine Learning (1 work) · Adversarial system (1 work) · AI in Service Interactions (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Boundary (topology (1 work) · Computer Science (1 work) · COVID-19 diagnosis using AI (1 work) · Decision analysis (1 work) · Decision model (1 work)

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