Department of Statistics
I am currently a fourth year Ph.D. student working on machine learning and statistics. My current research interests include deep neural networks (DNN), kernel machines, multi-source datasets modeling (DA/TL/MTL), large scale spatio-temporal modeling, graphical causal models, etc. I'm also interested in applications to computer vision, recommendation, neuroscience, etc.
Ph.D. candidate in Statistics, University of Wisconsin - Madison, Sep. 2014 - May. 2019 (expected)
M.S. in Computer Science (second major), University of Wisconsin - Madison, Sep. 2015 - Jan. 2018
B.S. in Statistics and Math, University of Science and Technology of China (USTC), 2010 - 2014
China National Scholarship (top 1-2%)
Hao Henry Zhou, Vikas Singh, Sterling C. Johnson, Grace Wahba. "Statistical Tests and Identifiability Conditions for Pooling and Analyzing Multisite Datasets", Published in Proceedings of the National Academy of Sciences (PNAS), 2018. [pdf][supp][Github code][summary slides on multisite datasets analysis, domain adaptation and multi-task learning]
Hao Henry 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 Henry 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]
Hao Henry Zhou, Garvesh Raskutti. "Non-parametric Sparse Additive Auto-regressive Network Models", Accepted by IEEE Transactions on Information Theory. [pdf]
Python, R, Matlab, C++, Java, Caffe2, Pytorch, SQL, Latex
ICML travel awards, 2017.
NIPS travel awards, 2016.
China National Scholarship, 2013.
Meritorious Winner in the Mathematical Contest in Modeling (MCM), 2013.