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Ziqiang Li

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.CR2
  • cs.CV2
same name
  • Ziqiang Li — 8 papers
  • Ziqiang Li — 2 papers
  • Ziqiang Li — 2 papers, h 4
  • Ziqiang Li — 1 paper
  • Ziqiang Li — 1 paper

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
20192023
most citedInterpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation

2 citations · 5 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CR2023★ 1 cited

Efficient Trigger Word Insertion

Yueqi Zeng, Ziqiang Li, Pengfei Xia +2

With the boom in the natural language processing (NLP) field these years, backdoor attacks pose immense threats against deep neural network models. However, previous works hardly c…

cs.CR2021★ 2 cited

Understanding the Error in Evaluating Adversarial Robustness

Pengfei Xia, Ziqiang Li, Hongjing Niu +1

Deep neural networks are easily misled by adversarial examples. Although lots of defense methods are proposed, many of them are demonstrated to lose effectiveness when against prop…

cs.CV2020★ 2 cited

Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation

Ziqiang Li, Rentuo Tao, Hongjing Niu +1

Generative adversarial nets (GANs) have been successfully applied in many fields like image generation, inpainting, super-resolution and drug discovery, etc., by now, the inner pro…

cs.CV2019

DA-RefineNet:A Dual Input Whole Slide Image Segmentation Algorithm Based on Attention

Ziqiang Li, Rentuo Tao, Qianrun Wu +1

Automatic medical image segmentation has wide applications for disease diagnosing. However, it is much more challenging than natural optical image segmentation due to the high-reso…

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