Hao Peng

I am currently a student in Ph.D program of Computer Science Department of Purdue University supervised by Prof. Alan Qi. I received my Bachelor of Science degree in computer science from the Chinese University of Hong Kong in 2011. (Resume)

My current interests:

• Topic Models
• Statistical Machine Learning

• Using Probabilistic Generative Models For Ranking Risks of Android Apps,
  H. Peng, C. Gates, B. Sarma, N. Li, A. Qi, R. Potharaju, C. Nita-Rotaru and I. Molloy.
  In Proceedings of the 19th ACM Conference on Computer and Communications Security (CCS 2012), Oct. 2012. ( pdf )

Coursework at Purdue

• CS 502 - Compiler and Programming Systems
• CS 503 - Operating Systems
• CS 514 - Numerical Analysis
• CS 525 - Parallel Computing
• CS 547 - Information Retrieval
• CS 573 - Data Mining
• CS 580 - Algorithm Design Analysis and Implementation
• CS 590 - Computation Methods in Optimization
• CS 590 - Statistical Machine Learning
• CS 590 - Adavanced Topics in Bayesian Learning

Course Projects

• LDA on Twitter
• The Thomson Problem
• Query by Humming (Online System)

2012 Fall

• CS 578 - Statistical Machine Learning

Machine Learning:

• Neural Information Processing Systems (NIPS)

• International Conference on Machine Learning (ICML)

• International Conference on Artificial Intelligence and Statistics (AISTATS)

• Association for the Advancement of Artificial Intelligenc (AAAI)

Optimization:

• (Matlab) CVX by Michael Grant and Stephen Boyd

• (C/MPI) TAO by Argonne National Labs

• (C/MPI) Trilinos by Sandia National Laboratories

• (Matlab) Poblano by Danny Dunlavy, Tammy Kolda and Evrim Acar

Calculus

• Matrix calculus

• Old and New Matrix Algebra Useful for Statistic by Thomas P. Minka