Anbu Huang
Senior Research Scientist at 微众银行WeBank
Shenzhen, Guangdong Province, China
Summary
🤩
Rockstar🎓
Top SchoolAnbu Huang is a Senior Research Scientist in Shenzhen with 13 years of experience building production-grade ML systems, specializing in diffusion and flow-matching generative models as well as privacy-preserving AI. Currently at WeBank, he leads research on federated learning and AI security to enable collaborative model training without compromising data privacy, and develops deep-learning methods to detect AIGC misuse such as deepfakes. Previously he led personalized ranking for Tencent Music, architecting recommender systems and representation learning that served millions of daily users. Trained at Tsinghua in software engineering, he combines rigorous academic grounding with hands-on deployment experience across fraud detection, recommender systems, and BI platforms. Notably, his work bridges cutting-edge generative research with practical defenses and privacy-aware training paradigms.
13 years of coding experience
6 years of employment as a software developer
硕士, 软件工程, 硕士, 软件工程 at 清华大学
Chinese, Chinese, English
Github Skills (24)
machine-learning10
distributed-computing10
security10
deep-learning10
differential-privacy10
federated-learning10
computer-vision10
edge-computing10
r7
data-mining6
kaggle6
python6
classification6
catboost6
decision-tree5
Programming languages (3)
Github contributions (5)
innovation-cat/innovation-cat.github.io
Mar 2022 - Apr 2026
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:1093 pushes, 1 branch in 4 years 2 months
templategithub-pages-templatemmistakesmistakesjekyll
innovation-cat/Awesome-Federated-Machine-Learning
Oct 2019 - Jan 2023
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Contributions:92 commits, 21 PRs, 123 pushes in 3 years 3 months
federated-learningmachine-learningdeep-learningprivacy-preserving-machine-learningcomputer-vision
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