Hao Peng

Biography

I am current working as a senior software engineer at Google. I am interested in applying machine learning to data center health. received my Ph.D in Computer Science from Purdue University. I was supervised by Prof. Yuan (Alan) Qi and Prof. Ninghui Li. I received my Bachelor of Science degree in computer science from the Chinese University of Hong Kong in 2011.

Publications

• Xiao Zhang, Yong Jiang, Hao Peng, Kewei Tu, Dan Goldwasser, Semi-supervised Structured Prediction with Neural CRF Autoencoder, Proceedings of Conference on Empirical Methods in Natural Language Processing, 2017 (paper)
• Hao Peng, Shandian Zhe, Xiao Zhang, Yuan Qi, Asynchronous Distributed Variational Gaussian Process for Regression, International Conference on Machine Learning, p2788-2797, 2017 (paper, video)
• Hao Peng, Yifan Yang, Shandian Zhe, Jian Wang, Michael Gribskov, Yuan Qi, DEIsoM: a hierarchical Bayesian model for identifying differentially expressed isoforms using biological replicates, Bioinformatics, 33 (19), p3018-3027, 2017 (paper)
• Hao Peng, Yuan Qi, EigenGP: Gaussian Process Models with Adaptive Eigenfunctions, Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI), 2015 (paper, poster)
• Christopher S Gates, Ninghui Li, Hao Peng, Bhaskar Sarma, Yuan Qi, Rahul Potharaju, Cristina Nita-Rotaru, Ian Molloy, IEEE Transactions on dependable and secure computing, 11 (3), p238-251, 2014 (paper)
• Lianjie Cao, Peng Hao, Chunmeng Zhou, Music radar: A web-based query by humming system, Tech Report, 2012 (paper)
• Hao Peng, Chris Gates, Bhaskar Sarma, Ninghui Li, Yuan Qi, Rahul Potharaju, Cristina Nita-Rotaru, Ian Molloy, Using probabilistic generative models for ranking risks of Android apps, Proceedings of the 2012 ACM conference on Computer and communications security, 2012. (paper, data)