Preprints

Adaptive conformal classification with noisy labels.
Matteo Sesia, Y. X. Rachel Wang and Xin Tong.
[ arXiv ]

Individual-centered partial information in social networks.
Xiao Han, Y. X. Rachel Wang and Xin Tong.
[ arXiv ]

Published

* equal contribution † corresponding author

Data integration and inference of gene regulation using single-cell temporal multimodal data with scTIE.
Yingxin Lin, Tung-Yu Wu, Xi Chen, Sheng Wan, Brian Chao, Jingxue Xin, Jean Y. H. Yang, Wing H. Wong† and Y. X. Rachel Wang†.
Genome Research, accepted.
[ Journal ] [ bioRxiv ]

Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data.
Lijia Wang*, Y. X. Rachel Wang*†, Jingyi Jessica Li and Xin Tong.
Journal of the American Statistical Association, accepted.
[ Journal ]

A unified framework for tuning hyperparameters in clustering problems.
Xinjie Fan*, Y. X. Rachel Wang*†, Purnamrita Sarkar† and Yuguang Yue.
Statistica Sinica, to appear.
[ arXiv ]

Statistics in everyone's backyard: an impact study via citation network analysis.
Lijia Wang, Xin Tong† and Y. X. Rachel Wang†.
Patterns, 2022.
[ Journal ]

scJoint integrates atlas-scale single-cell RNA-seq and ATAC-seq data with transfer learning.
Yingxin Lin, Tung-Yu Wu, Sheng Wan, Jean Y. H. Yang, Wing H. Wong† and Y. X. Rachel Wang†.
Nature Biotechnology, 2022
[ Journal ] [ bioRxiv ]

When random initializations help: a study of variational inference for community detection.
Purnamrita Sarkar*, Y. X. Rachel Wang* and Soumendu S. Mukherjee.
Journal of Machine Learning Research, 2021.
[ Journal ] [ arXiv ]

Network modeling in biology: statistical methods for gene and brain networks.
Y. X. Rachel Wang, Lexin Li, Jessica Jingyi Li and Haiyan Huang.
Invited review, Statistical Science, 2021.
[ link ]

Mini-batch Metropolis-Hastings with Reversible SGLD proposal.
Tung-Yu Wu*, Y. X. Rachel Wang* † and Wing H. Wong†.
Journal of the American Statistical Association, 2020
[ Journal ] [ TensorFlow code ]

On hyperparameter tuning in general clustering problems.
Xinjie Fan, Yuguang Yue, Purnamrita Sarkar † and Y. X. Rachel Wang †.
International Conference on Machine Learning (ICML), 2020.
[ Link ]

A theoretical case study of structured variational inference for community detection.
Mingzhang Yin, Y. X. Rachel Wang †, and Purnamrita Sarkar †.
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020.
[ Link ]

Network modelling of topological domains using Hi-C data.
Y. X. Rachel Wang, Purnamrita Sarkar, Oana Ursu, Anshul Kundaje and Peter J. Bickel.
Annals of Applied Statistics, 2019.
[ Journal ] [ arXiv ] [code]

Mean field for the Stochastic Blockmodel: optimization landscape and convergence issues.
Soumendu S. Mukherjee*, Purnamrita Sarkar*, Y. X. Rachel Wang* and Bowei Yan.
Advances in Neural Information Processing Systems (NeurIPS), 2018.
[ Link ]

GenomeDISCO: A concordance score for chromosome conformation capture experiments using random walks on contact map graphs.
Oana Ursu, Nathan Boley, Maryna Taranova, Y. X. Rachel Wang, Galip G. Yardimci, William S. Noble, Anshul Kundaje.
Bioinformatics, 2018.
[ Journal ]

Generalized correlation measure using count statistics for gene expression data with ordered samples.
Y. X. Rachel Wang, Ke Liu, Elizabeth Theusch, Jerome I. Rotter, Marisa W. Medina, Michael S. Waterman and Haiyan Huang.
Bioinformatics, 2017.
[ Journal ]

Likelihood-based model selection for stochastic block models.
Y. X. Rachel Wang, Peter J. Bickel.
Annals of Statistics, 2017.
[ Journal ]

Efficient inference of population size histories and locus-specific mutation rates from large-sample genomic variation data.
Anand Bhaskar, Y. X. Rachel Wang, Yun S. Song.
Genome Research, 2015.
[ Journal ]

Inferring gene-gene interactions and functional modules using sparse canonical correlation analysis.
Y. X. Rachel Wang, Keni Jiang, Lewis J. Feldman, Peter J. Bickel, Haiyan Huang.
Annals of Applied Statistics, 2015.
[ Journal ]

Gene coexpression measures in large heterogeneous samples using count statistics.
Y. X. Rachel Wang, Michael S. Waterman, Haiyan Huang.
Proceedings of the National Academy of Sciences, 2014.
[ Journal ]

Review on statistical methods for gene network reconstruction using expression data.
Y. X. Rachel Wang and Haiyan Huang.
Journal of Theoretical Biology (invited review), 2014.
[ Journal ]

An explicit transition density expansion for a multi-allelic Wright-Fisher diffusion with general diploid selection.
Matthias Steinrücken, Y. X. Rachel Wang, Yun S. Song.
Theoretical Population Biology, 2013.
[ Journal ]

Nonparametric cointegrating regression with NNH errors.
Qiying Wang, Y. X. Rachel Wang.
Econometric Theory, 2013.
[ Journal ]

Selective coating of holes in microstructured optical fiber and its application to in-fiber absorptive polarizer.
Xin Zhang, Rachel Wang, Felicity M. Cox, Boris T. Kuhlmey and Maryanne C.J. Large.
Optics Express, 2007.
[ Journal ]