Hao Peng is a Ph.D student in computer science at Purdue
University. He received the Bachelor's degree in computer
science from Chinese University of Hong Kong in 2011. His
research interests are machine learning and data mining. He
has worked on topic models, boosting. Recently, his work
focuses on kernel machines, specifically, scaling Gaussian
processes for large-scale learning problems.
H. Peng, Y. Qi, "EigenGP: Sparse Gaussian Process Models with Adaptive
Proceedings of the International Joint Conference on
C. Gates, N. Li, H. Peng, B. Sarma, Y. Qi, R. Potharaju, C.
Nita-Rotaru, and I. Molloy, "Generating summary risk scores for mobile applications", IEEE Transactions on Dependable and Secure
H. Peng, C. Gates, B. Sarma, N. Li, A. Qi, R. Potharaju, C.
Nita-Rotaru and I. Molloy, "Using Probabilistic Generative Models For Ranking Risks of
Android Apps", the 19th ACM Conference on Computer and Communications
Security (CCS 2012), Oct. 2012