Y. X. Rachel Wang
Y. X. Rachel Wang
School of Mathematics and Statistics, University of Sydney
Verified email at sydney.edu.au
Cited by
Cited by
Selective coating of holes in microstructured optical fiber and its application to in-fiber absorptive polarizers
X Zhang, R Wang, FM Cox, BT Kuhlmey, MCJ Large
Optics express 15 (24), 16270-16278, 2007
Review on statistical methods for gene network reconstruction using expression data
YXR Wang, H Huang
Journal of theoretical biology 362, 53-61, 2014
Likelihood-based model selection for stochastic block models
YXR Wang, PJ Bickel
The Annals of Statistics 45 (2), 500-528, 2017
Efficient inference of population size histories and locus-specific mutation rates from large-sample genomic variation data
A Bhaskar, YXR Wang, YS Song
Genome research 25 (2), 268-279, 2015
GenomeDISCO: A concordance score for chromosome conformation capture experiments using random walks on contact map graphs
O Ursu, N Boley, M Taranova, YXR Wang, GG Yardimci, W Stafford Noble, ...
Bioinformatics 34 (16), 2701-2707, 2018
Inferring gene–gene interactions and functional modules using sparse canonical correlation analysis
YXR Wang, K Jiang, LJ Feldman, PJ Bickel, H Huang
Annals of Applied Statistics 9 (1), 300-323, 2015
An explicit transition density expansion for a multi-allelic Wright–Fisher diffusion with general diploid selection
M Steinrücken, YXR Wang, YS Song
Theoretical population biology 83, 1-14, 2013
Gene coexpression measures in large heterogeneous samples using count statistics
YXR Wang, MS Waterman, H Huang
Proceedings of the National Academy of Sciences 111 (46), 16371-16376, 2014
Nonparametric cointegrating regression with NNH errors
Q Wang, YXR Wang
Econometric Theory, 1-27, 2013
Generalized correlation measure using count statistics for gene expression data with ordered samples
YXR Wang, K Liu, E Theusch, JI Rotter, MW Medina, MS Waterman, ...
Bioinformatics 34 (4), 617-624, 2018
Mean field for the stochastic blockmodel: Optimization landscape and convergence issues
SS Mukherjee, P Sarkar, RYX Wang, B Yan
Advances in neural information processing systems, 2018
A theoretical case study of structured variational inference for community detection
M Yin, YXR Wang, P Sarkar
International Conference on Artificial Intelligence and Statistics, 3750-3761, 2020
Network modelling of topological domains using Hi-C data
YXR Wang, P Sarkar, O Ursu, A Kundaje, PJ Bickel
Annals of Applied Statistics 13 (3), 1511-1536, 2019
Network modeling in biology: statistical methods for gene and brain networks
YXR Wang, L Li, JJ Li, H Huang
Statistical Science 36 (1), 89-108, 2021
A Unified Framework for Tuning Hyperparameters in Clustering Problems
X Fan, Y Yue, P Sarkar, YX Wang
arXiv preprint arXiv:1910.08018, 2019
scJoint: transfer learning for data integration of single-cell RNA-seq and ATAC-seq
Y Lin, TY Wu, S Wan, JYH Yang, YXR Wang, WH Wong
bioRxiv, 2020.12. 31.424916, 2021
When random initializations help: a study of variational inference for community detection.
P Sarkar, YXR Wang, SS Mukherjee
J. Mach. Learn. Res. 22, 22:1-22:46, 2021
On hyperparameter tuning in general clustering problemsm
X Fan, Y Yue, P Sarkar, YXR Wang
International Conference on Machine Learning, 2996-3007, 2020
Mini-Batch Metropolis–Hastings With Reversible SGLD Proposal
TY Wu, YX Rachel Wang, WH Wong
Journal of the American Statistical Association, 1-9, 2020
Problems in Network Modeling: Estimating Edges and Community Detection
YX Wang
UC Berkeley, 2015
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