Welcome!

I'm Hua Ouyang, a Research Scientist at Yahoo Labs. I got my Ph.D. from the College of Computing, Georgia Tech. I was adviced by Alex Gray and Hongyuan Zha.

My CV

Interests

Statistical and Computational learning theories, fast algorithms, and their applications.

Education

Georgia Institute of Technology. Ph.D. 2013
The Chinese University of Hong Kong, M.Phil. 2007
Huazhong University of Science and Technology, B.Eng. 2003

Selected Publications

  • Hua Ouyang, Niao He, Long Q. Tran, Alexander Gray. Stochastic Alternating Direction Method of Multipliers. ICML 2013. [full length paper][codes]
  • Hua Ouyang, Alexander Gray. Stochastic Smoothing for Nonsmooth Minimizations: Accelerating SGD by Exploiting Structure. ICML 2012. [full length paper]
  • Hua Ouyang, Alexander Gray. NASA: Achieving Lower Regrets and Faster Rates via Adaptive Stepsizes. KDD 2012. [pdf]
  • Hua Ouyang, Alexander Gray. Data-Distributed Weighted Majority and Online Mirror Descent. ArXiv 2011. [pdf]
  • Hua Ouyang, Alexander Gray. Fast Stochastic Frank-Wolfe Algorithms for Nonlinear SVMs. SDM 2010. [pdf]
    • (Best Student Paper Award of American Statistical Association)
  • Parikshit Ram, Dongryeol Lee, Hua Ouyang, Alexander Gray. Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions. NIPS 2009. [pdf]
  • Rajesh Narasimha, Hua Ouyang, Alexander Gray, Steven W. McLaughlin, Sriram Subramaniam. Automatic joint classification and segmentation of whole cell 3D images. Pattern Recognition, vol. 42 issue 6, 2009.
  • Hua Ouyang, Alexander Gray. Learning Nearest-Neighbor Classifiers with Hyperkernels. NIPS workshop on Kernel Learning 2008. [pdf]
  • Hua Ouyang, Alexander Gray. Learning Dissimilarities by Ranking: From SDP to QP. ICML 2008. [pdf]
  • Rajesh Narasimha, Hua Ouyang, Alexander Gray, Steven W. McLaughlin, Sriram Subramaniam. Automatic Mining of Whole Cell Tomograms for Cancer Detection. NIPS workshop on Machine Learning in Computational Biology, 2007.
  • Hua Ouyang, Tan Lee. Feature Extraction from Talking Mouths for Video-Based Bi-Modal Speaker Verification. ICASSP 2006.
  • W.N. Chan, Nengheng Zheng, Hua Ouyang and Tan Lee. Use of Vocal Source Features in Speaker Segmentation. ICASSP 2006.
  • Hua Ouyang, Tan Lee. A New Lip Feature Representation Method for Video-based Bimodal Authentication. NICTA Multimodal User Interaction Workshop (MMUI), Australia, 2005.

    • Source Codes

    Stochastic ADMM and Graph Guided Lasso / SVM
    MLPACK: a scalable c++ machine learning library v1.0.3

    Selected Courses

    2010
    CS8803 - Connections between Learning, Game Theory, and Optimization, by Nina Balcan
    CS8803 - Machine Learning Theory, by Nina Balcan
    2009
    MATH6644 - Iterative Methods for Linear and Nonlinear Equations, by Hongyuan Zha
    MATH6643 - Numerical Linear Algebra, by Hongyuan Zha
    ISYE7683 - Advanced Nonlinear Programming, by Arkadi Nemirovski
    2008
    CSE6740 - Foundations of Machine Learning and Data Mining, by Alexander Gray
    ISYE6662 - Discrete Optimization, by George Nemhauser
    ISYE6663 - Nonlinear Optimization, by Arkadi Nemirovski
    ISYE6412 - Theoretical Statistics, by Alexander Shapiro
    2007
    CS7001 - Introduction to Graduate Studies, by Alexander Gray and Nick Feamster
    ISYE7405 - Multivariate Data Analysis, by Alexander Shapiro
    CS8001ISRG - Intelligent Systems Reading Group, by Charles Isbell