Anbu Huang
Senior Research Scientist at 微众银行WeBank
Shenzhen, Guangdong Province, China
Summary
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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 (35)
pytorch10
machine-learning10
distributed-computing10
security10
deep-learning10
differential-privacy10
federated-learning10
computer-vision10
edge-computing10
data-privacy10
federated10
r8
computation7
data-mining7
regression7
Programming languages (2)
Github contributions (5)
innovation-cat/pytorch_cnn_visualization_implementations
Apr 2020 - Apr 2020
Contributions:24 commits, 23 pushes, 1 branch in 11 days
FederatedAI/Practicing-Federated-Learning
Dec 2020 - Dec 2022
Contributions:26 commits, 23 pushes, 13 comments in 1 year 11 months
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