Y. X. Rachel Wang

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Haiyan Huang, ProfessorUniversity of California, BerkeleyVerified email at stat.berkeley.edu
Purnamrita SarkarAssociate Professor, Statistics and Data Sciences, University of Texas at AustinVerified email at austin.utexas.edu
Wing Hung WongStanford UniversityVerified email at stanford.edu
peter bickelProfessor of Statistics, UC BerkeleyVerified email at stat.berkeley.edu
Yingxin LinYale UniversityVerified email at yale.edu
Oana UrsuScientist, Cellular and Tissue Genomics, GenentechVerified email at gene.com
Anshul KundajeAssociate Professor, Dept. of Genetics, Dept. of Computer Science, Stanford UniversityVerified email at stanford.edu
Anand BhaskarWaymoVerified email at waymo.com
Soumendu Sundar MukherjeeAssistant Professor at Statistics and Mathematics Unit, Indian Statistical Institute, KolkataVerified email at isical.ac.in
Xin TongAssociate Professor, Department of Data Sciences and Operations, University of Southern CaliforniaVerified email at marshall.usc.edu
Jingyi Jessica LiProfessor, Department of Statistics, University of California at Los Angeles (UCLA)Verified email at stat.ucla.edu
Matthias SteinrueckenUniversity of Chicago, Department of Ecology & EvolutionVerified email at uchicago.edu
Bowei YanUniversity of Texas at AustinVerified email at utexas.edu
Qiying WangThe University of SydneyVerified email at maths.usyd.edu.au
Mingzhang YinAssistant Professor, University of FloridaVerified email at ufl.edu
Ke LiuDepartment of Pediatrics and Human Development, Michigan State UniversityVerified email at msu.edu
Matteo SesiaUniversity of Southern CaliforniaVerified email at usc.edu

Y. X. Rachel Wang

School of Mathematics and Statistics, University of Sydney

Verified email at sydney.edu.au

Statistical network modelling statistical machine learning computational biology


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	475	2007
Review on statistical methods for gene network reconstruction using expression data YXR Wang, H Huang Journal of theoretical biology 362, 53-61, 2014	221	2014
Likelihood-based model selection for stochastic block models YXR Wang, PJ Bickel The Annals of Statistics 45 (2), 500-528, 2017	216	2017
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	109	2018
scJoint integrates atlas-scale single-cell RNA-seq and ATAC-seq data with transfer learning Y Lin, TY Wu, S Wan, JYH Yang, WH Wong, YX Wang Nature Biotechnology 40 (5), 703-710, 2022	101	2022
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	100	2015
Inferring gene–gene interactions and functional modules using sparse canonical correlation analysis YXR Wang, K Jiang, LJ Feldman, PJ Bickel, H Huang The Annals of Applied Statistics 9 (1), 300-323, 2015	46	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	41	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	38	2014
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	28	2018
On hyperparameter tuning in general clustering problemsm X Fan, Y Yue, P Sarkar, YXR Wang International Conference on Machine Learning, 2996-3007, 2020	25	2020
Nonparametric cointegrating regression with NNH errors Q Wang, YXR Wang Econometric Theory 29 (1), 1-27, 2013	22	2013
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	18	2021
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	18	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	16*	2020
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	12	2018
When random initializations help: a study of variational inference for community detection P Sarkar, YXR Wang, SS Mukherjee Journal of Machine Learning Research 22 (22), 1-46, 2021	8	2021
Adaptive conformal classification with noisy labels M Sesia, YX Wang, X Tong arXiv preprint arXiv:2309.05092, 2023	7	2023
Network modelling of topological domains using Hi-C data YXR Wang, P Sarkar, O Ursu, A Kundaje, PJ Bickel The annals of applied statistics 13 (3), 1511, 2019	6	2019
A Unified Framework for Tuning Hyperparameters in Clustering Problems X Fan, Y Yue, P Sarkar, YX Wang arXiv preprint arXiv:1910.08018, 2019	5	2019

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