Kun FANG
Scholar

Kun FANG

Google Scholar ID: yC2s2JIAAAAJ
The Hong Kong Polytechnic University
out-of-distribution detectionadversarial robustnessdeep learning
Citations & Impact
All-time
Citations
195
 
H-index
7
 
i10-index
5
 
Publications
19
 
Co-authors
12
list available
Publications
19 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Outstanding Reviewer for ECCV 2024.
Research Experience
  • Currently a Postdoctoral Fellow at the Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, working with Prof. Haibo HU.
Background
  • Research interests include trustworthy deep learning, particularly the robustness of Deep Neural Networks (DNNs) against adversarial and out-of-distribution inputs. Previously, he has also dabbled in kernel methods in machine learning.
Miscellany
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