Department of Statistics
I am currently a fourth year Ph.D. student. I work on statistical machine learning. My current research interests include datasets harmonization (DA/TL/MTL), multivariate time series, large scale network, graphical causal models, generative adversarial networks and (non)convex-optimization. I'm also interested in statistical applications to computer vision, neuroscience, etc.
Ph.D. candidate in Statistics, University of Wisconsin - Madison, Sep. 2014 - May. 2019 (expected)
Advised by Grace Wahba
M.S. in Computer Science, University of Wisconsin - Madison, Sep. 2015 - Jan. 2018 (expected)
B.S. in Statistics, University of Science and Technology of China (USTC), 2010 - 2014
Distinguished National Scholarship (top 1-2%)
Hao Zhou, Yilin Zhang, Vamsi K. Ithapu, Sterling C. Johnson, Grace Wahba, Vikas Singh. "When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications", Published in Proceedings of International Conference on Machine Learning(ICML), 2017.[pdf][supp][Github code][slides]
Hao Zhou, Sathya N. Ravi, Vamsi K. Ithapu, Sterling C. Johnson, Grace Wahba, Vikas Singh. "Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease", Published in Proceedings of Neural Information Processing Systems(NIPS), 2016.[pdf][supp][Github code][slides]
Python, R, Matlab, C++, Java, SQL, Latex
ICML travel awards, 2017.
NIPS travel awards, 2016.
Distinguished National Scholarship, honored by China State Council (top 1-2%, 2013)
Meritorious Prize in The Mathematical Contest in Modeling(MCM), 2013.