MARM: Multiscale Adaptive Regression Models for Neuroimaging Data. - Hongtu Zhu; Yimei Li; Joseph G. Ibrahim; Weili Lin; Dinggang Shen (IPMI, 2009)

LSTGEE: longitudinal analysis of neuroimaging data. - Yimei Li; Hongtu Zhu; Yasheng Chen; Hongyu An; John H. Gilmore; Weili Lin; Dinggang Shen (Image Processing, 2009)

RADTI: regression analyses of diffusion tensor images. - Yimei Li; Hongtu Zhu; Yasheng Chen; Joseph G. Ibrahim; Hongyu An; Weili Lin; Colin Hall; Dinggang Shen (Image Processing, 2009)

Multivariate Varying Coefficient Models for DTI Tract Statistics. - Hongtu Zhu; Martin Styner; Yimei Li; Linglong Kong; Yundi Shi; Weili Lin; Christopher L. Coe; John H. Gilmore (MICCAI (1), 2010)

Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data. - Yimei Li; John H. Gilmore; Jiaping Wang; Martin Styner; Weili Lin; Hongtu Zhu (MBIA, 2011)

TwinMARM: Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data. - Yimei Li; John H. Gilmore; Jiaping Wang; Martin Styner; Weili Lin; Hongtu Zhu (IEEE Trans. Medical Imaging, 2012)

Multiscale adaptive generalized estimating equations for longitudinal neuroimaging data. - Yimei Li; John H. Gilmore; Dinggang Shen; Martin Styner; Weili Lin; Hongtu Zhu (NeuroImage, 2013)

An Efficient and Robust Data Compression Algorithm in Wireless Sensor Networks. - Yao Liang; Yimei Li (IEEE Commun. Lett., 2014)

Towards Long-Term Multi-Hop WSN Deployments for Environmental Monitoring: An Experimental Network Evaluation. - Miguel Navarro; Tyler W. Davis; German Villalba; Yimei Li; Xiaoyang Zhong; Newlyn Erratt; Xu Liang; Yao Liang (J. Sens. Actuator Networks, 2014)

SGPP: spatial Gaussian predictive process models for neuroimaging data. - Jung Won Hyun; Yimei Li; John H. Gilmore; Zhaohua Lu; Martin Andreas Styner; Hongtu Zhu (NeuroImage, 2014)

Application of probabilistic fiber-tracking method of MR imaging to measure impact of cranial irradiation on structural brain connectivity in children treated for medulloblastoma. - Elizabeth C. Duncan; Wilburn E. Reddick; John O. Glass; Jung Won Hyun; Qing Ji; Yimei Li; Amar Gajjar (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

STGP: Spatio-temporal Gaussian process models for longitudinal neuroimaging data. - Jung Won Hyun; Yimei Li; Chao Huang 005; Martin Styner; Weili Lin; Hongtu Zhu (NeuroImage, 2016)

Temporal Lossless and Lossy Compression in Wireless Sensor Networks. - Yimei Li; Yao Liang (ACM Trans. Sens. Networks, 2016)

Analysis of a fixed center effect additive rates model for recurrent event data. - Haijin He; Deng Pan; Liuquan Sun; Yimei Li; Leslie L. Robison; Xinyuan Song (Comput. Stat. Data Anal., 2017)

A Networked Sensor System for the Analysis of Plot-Scale Hydrology. - German Villalba; Fernando Plaza; Xiaoyang Zhong; Tyler W. Davis; Miguel Navarro; Yimei Li; Thomas A. Slater; Yao Liang; Xu Liang (Sensors, 2017)

Compressed Sensing in Multi-Hop Large-Scale Wireless Sensor Networks Based on Routing Topology Tomography. - Yimei Li; Yao Liang (IEEE Access, 2018)

Data Compression in Multi-Hop Large-Scale Wireless Sensor Networks - Yimei Li (2018)

Finite mixture of varying coefficient model: Estimation and component selection. - Mao Ye; Zhao-Hua Lu; Yimei Li; Xinyuan Song (J. Multivar. Anal., 2019)

Host heterogeneity and epistasis explain punctuated evolution of SARS-CoV-2. - Bjarke Frost Nielsen; Chadi M. Saad-Roy; Yimei Li; Kim Sneppen; Lone Simonsen; Cécile Viboud; Simon A. Levin; Bryan T. Grenfell (PLoS Comput. Biol., 2023)

gsMAMS: an R package for Designing Multi-Arm Multi-Stage Clinical Trials. - Tushar Patni; Yimei Li; Jianrong Wu (J. Open Source Softw., 2024)