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Dawei Zhou

16 papers hereh-index 10295 citations39 works total

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

author position
  • first author3
  • middle author12

Across the 15 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • cs.LG4
  • cs.CR1
  • eess.IV1
same name
  • Dawei Zhou — 19 papers, h 6
  • Dawei Zhou — 11 papers, h 17
  • Dawei Zhou — 9 papers, h 5
  • Dawei Zhou — 6 papers, h 16
  • Dawei Zhou — 3 papers, h 3
  • Dawei Zhou — 3 papers, h 2

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
20212026
most citedPersonalized Federated Learning under Mixture of Distributions

6 citations · 11 across the 15 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

A Knowledge-guided Adversarial Defense for Resisting Malicious Visual Manipulation

Dawei Zhou, Suzhi Gang, Decheng Liu +3

Malicious applications of visual manipulation have raised serious threats to the security and reputation of users in many fields. To alleviate these issues, adversarial noise-based…

cs.CV2025★ 1 cited

Towards Generalized Proactive Defense against Face Swapping with Contour-Hybrid Watermark

Ruiyang Xia, Dawei Zhou, Decheng Liu +4

Face swapping, recognized as a privacy and security concern, has prompted considerable defensive research. With the advancements in AI-generated content, the discrepancies between…

cs.CV2025

Structure-Accurate Medical Image Translation via Dynamic Frequency Balance and Knowledge Guidance

Jiahua Xu, Dawei Zhou, Lei Hu +3

Multimodal medical images play a crucial role in the precise and comprehensive clinical diagnosis. Diffusion model is a powerful strategy to synthesize the required medical images.…

cs.CV2025

Improving Adversarial Robustness via Phase and Amplitude-aware Prompting

Yibo Xu, Dawei Zhou, Decheng Liu +1

Deep neural networks are found to be vulnerable to adversarial perturbations. The prompt-based defense has been increasingly studied due to its high efficiency. However, existing p…

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