Hongxin Wei
Assistant Professor at Southern University of Science and Technology
Shenzhen, Guangdong Province, China
Summary
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Senior🎓
Top SchoolHongxin Wei is an Assistant Professor in Statistics and Data Science at SUSTech with 11 years of research and engineering experience bridging theory and practice in robust, data-centric machine learning. He earned his PhD in AI from Nanyang Technological University, was a visiting scholar at UW–Madison, and previously researched at Tsinghua’s Institute for Interdisciplinary Information Sciences. His work focuses on Natural Robustness—preserving model performance under real-world data corruptions—spanning label noise, outliers, data valuation, privacy attacks, and reliable-AI techniques like conformal prediction and calibrated rejection. Hongxin combines foundational research on dependable learning systems with practical code publishing on GitHub, and uniquely favors Bitbucket for daily version control while using GitHub primarily to share reproducible artifacts. He aims to build adaptive, safe ML pipelines that remain trustworthy under unexpected data conditions.
11 years of coding experience
学士学位, 软件工程, 学士学位, 软件工程 at 华中科技大学Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Nanyang Technological University Singapore
Github Skills (99)
regression10
robustness10
classification10
graph10
uncertainty-quantification10
regularization10
novelty-detection9
drawer9
anomaly-detection9
python9
docker-container9
outlier-detection9
fluentd9
crawler9
large-language-models9
Programming languages (9)
Github contributions (5)
AMI-NTU/unadversarial_purification_tool
Jun 2021 - Feb 2022
Contributions:18 commits, 16 pushes, 1 branch in 8 months
hongxin001/JoCoR
Mar 2020 - Jul 2022
CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization
Contributions:8 commits, 9 pushes, 1 branch in 2 years 4 months
regularization
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