Department of Statistics
I am currently a third year Ph.D. student. I work on statistical machine learning. My current research interests include datasets harmonization (DA/TL/MTL), vector time series, causal graphical 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 - May. 2017 (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 Ithapu, Sterling Johnson, Grace Wahba, Vikas Singh. "When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications", Accepted by International Conference on Machine Learning(ICML), 2017.[pre-camera-ready version][supp]
Hao Zhou, Sathya Ravi, Vamsi Ithapu, Sterling Johnson, Grace Wahba, Vikas Singh. "Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease", In Neural Information Processing Systems(NIPS), 2016.[pdf][supp][Github code][ppt]
Python, R, Matlab, C++, Java, Latex
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.
Vikas Singh (UW-Madison)