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Xinli Yue

Machine Learning Researcher

Education

Master's Degree in Cyberspace Security

Wuhan University
2022 - 2025

Bachelor's Degree in Information Security

Wuhan University
2018 - 2022
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Career Profile

I am Xinli Yue, a master student at the NIS&P Lab of Wuhan University, supervised by Qian Wang. My research focuses on AI security and adversarial training. I have also served as a reviewer for TNNLS.

Publications

Revisiting Adversarial Training under Long-Tailed Distributions
Xinli Yue, Ningping Mou, Qian Wang, Lingchen Zhao
Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[Paper] [Code] [Video] [Slide] [Poster]
Revisiting Adversarial Robustness Distillation from the Perspective of Robust Fairness
Xinli Yue, Ningping Mou, Qian Wang, Lingchen Zhao
Advances in Neural Information Processing Systems (NeurIPS), 2023
[Paper] [Code] [Video] [Slide] [Poster]
Fairness is Essential for Robustness: Fair Adversarial Training by Identifying and Augmenting Hard Examples
Ningping Mou, Xinli Yue, Lingchen Zhao, Qian Wang
Frontiers of Computer Science (FCS)
[Paper]

Experiences

Computer Vision Algorithm Engineer

2024.5 - 2024.8
WeChat, Guangzhou

Research on Video Quality Assessment for WeChat Channels.

Education & Awards

Master's Degree in Cyberspace Security

2022 - 2025
Wuhan University
  • Graduate Study Scholarship, 2023
  • “China Optics Valley·Huawei Cup” 19th China Graduate Mathematics Modeling Competition, National Third Prize, 2022

Bachelor's Degree in Information Security

2018 - 2022
Wuhan University
  • Outstanding undergraduate graduate of Wuhan University, 2022
  • Luoge-Tianyou Scholarship (top 1%), Wuhan University, 2021
  • The 12th National College Student Mathematics Competition (Non-mathematics Category), Third Prize, 2020
  • National College Students’ Mathematical Modeling Contest, Hubei Provincial Second Prize, 2020
  • The 11th National College Student Mathematics Competition (Non-mathematics Category), Third Prize, 2019