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researcher

Jun Zhu

171 papers hereh-index 7427.4k citations336 works total

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

author position
  • first author9
  • middle author72
  • last author84

Across the 165 of 171 papers where every author was matched, so the position is known.

fields
  • cs.LG95
  • cs.CV36
  • stat.ML24
  • cs.CL6
  • cs.AI2
  • cs.CR1
same name
  • Jun Zhu — 32 papers, h 15
  • Jun Zhu — 26 papers, h 22
  • Jun Zhu — 26 papers, h 12
  • Jun Zhu — 21 papers, h 10
  • Jun Zhu — 20 papers, h 20
  • Jun Zhu — 19 papers, h 14

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
20092023
most citedTriple Generative Adversarial Nets

224 citations · 3.2k across the 170 of their papers we have counts for

collaborators
Showing 2020 · cs.CVShow all

3 papers · 2 filters

cs.CV2020★ 4 cited

Switching Transferable Gradient Directions for Query-Efficient Black-Box Adversarial Attacks

Chen Ma, Shuyu Cheng, Li Chen +2

We propose a simple and highly query-efficient black-box adversarial attack named SWITCH, which has a state-of-the-art performance in the score-based setting. SWITCH features a hig…

cs.CV2020★ 3 cited

Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters

Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng +5

Convolutional neural networks (CNNs) have been successfully used in a range of tasks. However, CNNs are often viewed as "black-box" and lack of interpretability. One main reason is…

cs.CV2020★ 7 cited

RobFR: Benchmarking Adversarial Robustness on Face Recognition

Xiao Yang, Dingcheng Yang, Yinpeng Dong +3

Face recognition (FR) has recently made substantial progress and achieved high accuracy on standard benchmarks. However, it has raised security concerns in enormous FR applications…

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