Purdue University - Department of Computer Science -

Hao Peng

Graduate Student


Joined department: 2011

Education

Bachelor, The Chinese University of Hong Kong, Computer Science (2011)

Hao Peng was a Ph.D student in the department of computer science at Purdue University during 2011-2017. 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.

Selected Publications

H. Peng, Y. Qi, "EigenGP: Sparse Gaussian Process Models with Adaptive Eigenfunctions", in Proceedings of the International Joint Conference on Artificial Intelligence , 2015
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 Computing, 2014
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
H. Peng, S. Zhe, X. Zhang and Y. Qi., "Asynchronous Distributed Variational Gaussian Processes for Regression", Thirty-fourth International Conference on Machine Learning (ICML 2017) , August 2017.
H. Peng, Y. Yang, S. Zhe, J, Wang, M. Gribskov, and Y. Qi, "DEIsoM: A hierarchical Bayesian model for identifying differentially expressed isoforms using biological replicates", Bioinformatics, 2017

Department of Computer Science, 305 N. University Street, West Lafayette, IN 47907

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