Hao (Henry) Zhou

Hao Zhou 

Department of Statistics
University of Wisconsin - Madison
1220 Medical Sciences Center, 1300 University Ave
Madison, WI 53706

E-mail: hzhou [AT] stat [DOT] wisc [DOT] edu

About Me

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.


  1. 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]

  2. 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]

  3. 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]

  4. 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


Collaborators (alphabetical order)

Garvesh Raskutti (UW-Madison), Sterling C. Johnson (UW-Madison)