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Daoqiang Zhang

4 papers hereh-index 6111 citations23 works total

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

author position
  • middle author2
  • last author2

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

fields
  • cs.CR2
  • cs.AI1
  • cs.CV1
same name
  • Daoqiang Zhang — 7 papers, h 5
  • Daoqiang Zhang — 5 papers, h 8
  • Daoqiang Zhang — 4 papers, h 2
  • Daoqiang Zhang — 3 papers, h 0
  • Daoqiang Zhang — 2 papers, h 3
  • Daoqiang Zhang — 2 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

collaborators

4 papers

cs.CV2026

A Benchmark Dataset for MLLM-Generated Image Detection: GPT Image2 & Nano Banana2

Zirui Zhang, Yinbo Yu, Donghai Guan +3

The realism of images generated by multimodal large language models (MLLMs), such as GPT Image2 and Nano Banana2, has improved rapidly in recent years. Compared with early generati…

cs.AI2026

DARE-EEG: A Foundation Model for Mining Dual-Aligned Representation of EEG

Yang Shao, Peiliang Gong, Qun Dai +1

Foundation models pre-trained through masked reconstruction on large-scale EEG data have emerged as a promising paradigm for learning generalizable neural representations across di…

cs.CR2026

Fast and Lightweight Backdoor Detection via Head Random Probing

Yinbo Yu, Xueyu Yin, Jing Fang +4

Deep neural networks (DNNs) remain critically vulnerable to backdoor attacks. Existing post-training detectors often require clean or surrogate data, gradients, or iterative trigge…

cs.CR2026

Lightweight and Fast Backdoor Model Detection

Yinbo Yu, Jing Fang, Xuewen Zhang +4

Deep neural networks (DNN), despite their remarkable performance, are highly vulnerable to backdoor attacks. Existing defenses mainly rely on activation anomaly analysis or trigger…

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