Wenzhao Xiang

Orcid: 0000-0002-3730-8848

Affiliations:
  • Shanghai JiaoTong University, Institute of Image Communication and Network Engineering, China
  • Chinese Academy of Sciences, Institute of Computing Technology, Key Laboratory of Intelligent Information Processing, Beijing, China
  • Pengcheng Laboratory, Shenzhen, China
  • Tsinghua University, Beijing, China (former)


According to our database1, Wenzhao Xiang authored at least 12 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
AEMIM: Adversarial Examples Meet Masked Image Modeling.
Int. J. Comput. Vis., April, 2026

From Semantics to Pixels: Coarse-to-Fine Masked Autoencoders for Hierarchical Visual Understanding.
CoRR, March, 2026

2025
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking.
Int. J. Comput. Vis., February, 2025

RobustPrompt: Learning to defend against adversarial attacks with adaptive visual prompts.
Pattern Recognit. Lett., 2025

Improving model generalization by on-manifold adversarial augmentation in the frequency domain.
J. Vis. Commun. Image Represent., 2025

Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2023
Improving the robustness of adversarial attacks using an affine-invariant gradient estimator.
Comput. Vis. Image Underst., March, 2023

2021
Unrestricted Adversarial Attacks on ImageNet Competition.
CoRR, 2021

Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness.
CoRR, 2021

Adversarial Attacks on ML Defense Models Competition.
CoRR, 2021

You Cannot Easily Catch Me: A Low-Detectable Adversarial Patch for Object Detectors.
CoRR, 2021

Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE.
CoRR, 2021


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