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Chuanlong Xie

5 papers hereh-index 439 citations9 works total

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

author position
  • middle author4
  • last author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG1
same name
  • Chuanlong Xie — 15 papers, h 11
  • Chuanlong Xie — 8 papers, h 2
  • Chuanlong Xie — 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

activity
20242026
most citedAn Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques

1 citations · 1 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

ONRW: Optimizing inversion noise for high-quality and robust watermark

Xuan Ding, Xiu Yan, Chuanlong Xie +1

Watermarking methods have always been effective means of protecting intellectual property, yet they face significant challenges. Although existing deep learning-based watermarking…

cs.CV2025

Sliding-Window Merging for Compacting Patch-Redundant Layers in LLMs

Xuan Ding, Rui Sun, Yunjian Zhang +7

Depth-wise pruning accelerates LLM inference in resource-constrained scenarios but suffers from performance degradation due to direct removal of entire Transformer layers. This pap…

cs.CV2024★ 1 cited

An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques

Chunxiao Li, Xiaoxiao Wang, Boming Miao +3

Image classification serves as the cornerstone of computer vision, traditionally achieved through discriminative models based on deep neural networks. Recent advancements have intr…

cs.CV2024

AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models

Boming Miao, Chunxiao Li, Yao Zhu +4

With the rapid development of deep learning, object detectors have demonstrated impressive performance; however, vulnerabilities still exist in certain scenarios. Current research…

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