Scholar
Ling Huang
Google Scholar ID: h1XZv94AAAAJ
AHI Fintech
Citations & Impact
Citations
4,362
H-index
24
i10-index
36
Publications
20
Co-authors
31
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Associated with projects such as Security and Machine Learning Research, Fast and Efficient Machine Learning Methods, Online Semi-Supervised Learning and Face Recognition, Decentralized Machine Learning and Efficient Anomaly Detection, Console Log Mining for System Problem Detection, etc. Published multiple papers including 'Reviewer Integration and Performance Measurement for Malware Detection', 'CloudKeyBank: Privacy and Owner Authorization Enforced Key Management Framework', and more, receiving the Best Student Paper Award.
Research Experience
- Founding member and Director of Data Science at DataVisor, Inc. from May 2014 to June 2016; Senior Research Scientist at Intel ISTC on Secure Computing from May 2011 to May 2014; Research Scientist at Intel Labs Berkeley from October 2007 to May 2011; worked over three years as a system architect and project manager at Bei Hang Haire CAXA, the No.1 CAD/CAM software company in China, before joining UC Berkeley.
Education
- Obtained B.S. and M.S. degrees from Beijing University of Aeronautics and Astronautics (BUAA) in China; pursued a Ph.D. in Computer Science at the University of California at Berkeley, where he was affiliated with RadLab.
Background
- Research interests include big data, machine learning, computer vision, and data-driven security. Specific areas are large-scale machine learning pipelines for user behavioral modeling and risk evaluation; deep learning for image classification, object detection, and content understanding; adversarial machine learning, fake account/spam/fraud detection, and malware classification.
Miscellany
- Can be reached by huang.ling at gmail.com.
