Academic Background

Research Interest

Selected Publications

In the author list, bold indicates lab members; ^* represents equal contribution; and ^# stands for the corresponding author.

• Song Fangda, Chu Jing, Ma Shuangge, and Wei Yingying^# (2023+) Survival Mixed Membership Blockmodel, Journal of the American Statistical Association, accepted.
• Song Fangda, Chan Ga Ming Angus, and Wei Yingying^# (2020) Flexible Experimental Designs for Valid Single-cell RNA-sequencing Experiments Allowing Batch Effects Correction, Nature Communications, 11:3274. [Paper] [Bioconductor R package BUSseq] [C++ code for parallel CPU computing] [CUDA C code for parallel GPU computing]
  Fangda won the 2019 American Statistical Association Section on Statistics in Genomics and Genetics Distinguished Student Paper Award with this paper.
• Luo Xiangyu and Wei Yingying^# (2019) Batch Effects Correction with Unknown Subtypes, Journal of the American Statistical Association, 114 (526) 581-594. [Paper] [Bioconductor R package BUScorrect]
  This paper was awarded the 2019 W. J. Youden Award in Interlaboratory Testing from the American Statistical Association.
• Luo Xiangyu, Yang Can^#, and Wei Yingying^# (2019) Detection of Cell-type-specific Risk-CpG sites in Epigenome-wide Association Studies, Nature Communications, 10:3113. [Paper]  [Bioconductor R package HIREewas]
• Dai Zhenwei, Wong Sunny H, Yu Jun, and Wei Yingying^# (2019) Batch Effects Correction for Microbiome Data with Dirichlet-multinomial Regression, Bioinformatics, 35 (5): 807-814. [Paper] [Bioconductor R package BDMMAcorrect]
• Luo Xiangyu, Wei Yingying^# (2018) Nonparametric Bayesian Learning of Heterogeneous Dynamic Transcription Factor Networks, Annals of Applied Statistics, 12 (3), 1749-1772. [Paper] [Parallel C code]
  Xiangyu won the 2016 American Statistical Association Biometrics Section Travel Award with this paper.
• Wei Yingying^# and Wu Hao^# (2016) Measuring the Spatial Correlations of Protein Binding Sites, Bioinformatics, 32 (12): 1766-1772. [Paper] [R package]
• Wei Yingying, Tenzen Toyoaki, and Ji Hongkai^# (2015) Joint Analysis of Differential Gene Expression in Multiple Studies using Correlation Motifs, Biostatistics, 16 (1) 31-46. [Paper] [Bioconductor R package Cormotif]
• Wei Yingying^*, Li Xia^*, Wang Qianfei, and Ji Hongkai^# (2012) iASeq: Integrative Analysis of Allele-specificity of Protein-DNA Interactions in Multiple ChIP-seq Datasets, BMC Genomics, 13:681. Highly accessed. [Paper] [Bioconductor R package iASeq]

Students

I feel blessed to be able to work with my very talented students.

Honors and Awards

• 2021    Young Reseacher Award , by the Chinese University of Hong Kong
• 2019    The W. J. Youden Award in Interlaboratory Testing, by the American Statistical Associations
• 2017    Faculty Exemplary Teaching Award, by Faculty of Science of the Chinese University of Hong Kong
• 2013    The Margaret Merrell Award, by the Johns Hopkins University
• 2013    ENAR Distinguished Student Paper Award, by the International Biometric Society
• 2012    The June B. Culley Award, by the Johns Hopkins University
• 2009    Excellent Graduate of Tsinghua University
• 2008    Meritorious Award for the Mathematical Contest in Modeling (MCM), by MAA, INFORMS, SIAM and ASA
• 2006, 2007, 2008    Outstanding Academic Performance Scholarship, by Tsinghua University
• 2006    National Scholarship, by Ministry of Education of the People’s Republic of China

Major Research Grants

• RGC-GRF 14304521 awarded by the Research Grants Council, 2022-2024, Principal Investigator
  Title: Statistical Methods for Multi-Ethnic Genome-Wide Association Studies
• RGC-GRF 14306020 awarded by the Research Grants Council, 2021-2022, Principal Investigator
  Title: Fine-Scale Inference for Aggregate-Level DNA Methylation Data
• RGC-GRF 14305319 awarded by the Research Grants Council, 2020-2022, Principal Investigator
  Title: Statistical Methods for Estimating a Set of Phylogenetic Trees
• RGC-GRF 14305318 awarded by the Research Grants Council, 2019-2020, Principal Investigator
  Title: Bayesian Methods for Time-to-event Data on a Social Network
• RGC-GRF 14306417 awarded by the Research Grants Council, 2018-2019, Principal Investigator
  Title: Bayesian Graph-valued Regression
• RGC-GRF 24301416 awarded by the Research Grants Council, 2017-2018, Principal Investigator
  Title: Statistical Modeling for Heterogeneous Dynamic Transcription Factor Networks

Professional Activities