Publication
For prospective students: our group is recruiting new Ph.D. students. Please get in touch with me if you are interested in developing statistical and machine learning methods in biomedical data.
My research is supported in part by NSF DMS-2113458, Seed Grant in Personalized Nutrition Initiative, NSF DBI-2243257.
Publications
Wang, S. (2023+) On Linear Separation Capacity of Self-Supervised Representation Learning. submitted.
Wang, S. (2023+) Augmentation Invariant Manifold Learning. submitted.
Wang, S., Yuan, B., Cai, T. T. and Li, H. (2023) Phylogenetic Association Analysis with Conditional Rank Correlation. Biometrika, to appear.
Yu, R. and Wang, S. (2024) Treatment Effects Estimation by Uniform Transformer. International Conference on Learning Representations.
Wang, S. (2023) Self-Supervised Metric Learning in Multi-View Data: A Downstream Task Perspective. Journal of the American Statistical Association, 118(544), 2454-2467.
Yuan, B. and Wang, S. (2023) RSim: A Reference-Based Normalization Method via Rank Similarity. PLOS Computational Biology, 19(9), e1011447.
Wang, S. (2023) Multiscale Adaptive Differential Abundance Analysis in Microbial Compositional Data. Bioinformatics, 39(4), btad178.
Wang, S. (2023) Robust Differential Abundance Test in Compositional Data. Biometrika, 110(1), 169-185.
Wang, S. and Yuan, M. (2021) Revisiting Colocalization via Optimal Transport. Nature Computational Science, 1(3), 177–178.
Wang, S., Cai, T. T. and Li, H. (2021) Hypothesis Testing for Phylogenetic Composition: A Minimum-cost Flow Perspective. Biometrika, 108(1), 17-36.
Wang, S., Cai, T. T. and Li, H. (2021) Optimal Estimation of Wasserstein Distance on A Tree with An Application to Microbiome Studies. Journal of the American Statistical Association, 116(535), 1237-1253.
Wang, S., Arena, E. T., Becker, J. T., Bement, W. M., Sherer, N. M., Eliceiri, K. W. and Yuan, M. (2019) Spatially Adaptive Colocalization Analysis in Dual-Color Fluorescence Microscopy. IEEE Transactions on Image Processing, 28(9), 4471-4485.
Wang, S., Chacko, J. V., Sagar, A. K., Eliceiri, K. W. and Yuan, M. (2019) Nonparametric Empirical Bayesian Framework for Fluorescence-Lifetime Imaging Microscopy. Biomedical Optics Express, 10(11), 5497-5517.
Wang, S. and Yuan, M. (2019) Combined Hypothesis Testing on Graphs with Applications to Gene Set Enrichment Analysis. Journal of the American Statistical Association, 114(527), 1320-1338.
Wang, S., Fan, J., Pocock, G., Arena, E. T., Eliceiri, K. W. and Yuan, M. (2021) Structured Correlation Detection with Applications to Colocalization Analysis in Dual-Channel Fluorescence Microscopic Imaging. Statistica Sinica, 31(1), 333-360.
Mehta, R., Kim, H. J., Wang, S., Johnson, S. C., Yuan, M. and Singh, V. (2019) Localizing differentially evolving covariance structures via scan statistics. Quarterly of Applied Mathematics, 77(2), 357-398.
Wang, S., Arena, E. T., Eliceiri, K. W. and Yuan, M. (2018) Automated and Robust Quantification of Colocalization in Dual-Color Fluorescence Microscopy: A Nonparametric Statistical Approach. IEEE Transactions on Image Processing, 27(2), 622-636.
Arena, E. T., Rueden, C. T., Hiner, M. C., Wang, S., Yuan, M. and Eliceiri, K. W. (2016) Quantitating the Cell: Turning Images into Numbers with ImageJ. Wiley Interdisciplinary Reviews: Developmental Biology, 6(2), e260.
(underline indicates group members)