Smoothing dynamic positron emission tomography time courses using functional principal components. - Ci-Ren Jiang; John A. D. Aston; Jane-Ling Wang (NeuroImage, 2009)

A Longitudinal Functional Analysis Framework for Analysis of White Matter Tract Statistics. - Ying Yuan; John H. Gilmore; Xiujuan Geng; Martin Andreas Styner; Kehui Chen; Jane-Ling Wang; Hongtu Zhu (IPMI, 2013)

Spontaneous Neural Fluctuations Predict Decisions to Attend. - Jesse J. Bengson; Todd A. Kelley; Xiaoke Zhang; Jane-Ling Wang; George R. Mangun (J. Cogn. Neurosci., 2014)

FMEM: Functional mixed effects modeling for the analysis of longitudinal white matter Tract data. - Ying Yuan; John H. Gilmore; Xiujuan Geng; Martin Andreas Styner; Kehui Chen; Jane-Ling Wang; Hongtu Zhu (NeuroImage, 2014)

Local and global temporal correlations for longitudinal data. - Yang Zhou; Shu-Chin Lin; Jane-Ling Wang (J. Multivar. Anal., 2018)

A New Approach for Functional Connectivity via Alignment of Blood Oxygen Level-Dependent Signals. - Chun-Jui Chen; Jane-Ling Wang (Brain Connect., 2019)

Editorial for the special issue on High-dimensional and functional data analysis. - Frédéric Ferraty; Piotr Kokoszka; Jane-Ling Wang; Yichao Wu (Comput. Stat. Data Anal., 2019)

ML-LOO: Detecting Adversarial Examples with Feature Attribution. - Puyudi Yang; Jianbo Chen; Cho-Jui Hsieh; Jane-Ling Wang; Michael I. Jordan (AAAI, 2020)

A new approach to varying-coefficient additive models with longitudinal covariates. - Xiaoke Zhang; Qixian Zhong; Jane-Ling Wang (Comput. Stat. Data Anal., 2020)

Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data. - Puyudi Yang; Jianbo Chen; Cho-Jui Hsieh; Jane-Ling Wang; Michael I. Jordan (J. Mach. Learn. Res., 2020)

Emotional EEG classification using connectivity features and convolutional neural networks. - Seong-Eun Moon; Chun-Jui Chen; Cho-Jui Hsieh; Jane-Ling Wang; Jong-Seok Lee (Neural Networks, 2020)

Deep Learning for Functional Data Analysis with Adaptive Basis Layers. - Junwen Yao; Jonas Mueller 001; Jane-Ling Wang (ICML, 2021)

Deep Extended Hazard Models for Survival Analysis. - Qixian Zhong; Jonas Mueller 001; Jane-Ling Wang (NeurIPS, 2021)

Modeling sparse longitudinal data in early neurodevelopment. - Yaqing Chen 003; Paromita Dubey; Hans-Georg Müller; Muriel Bruchhage; Jane-Ling Wang; Sean C. L. Deoni (NeuroImage, 2021)

Eigen-Adjusted Functional Principal Component Analysis. - Ci-Ren Jiang; Eardi Lila; John A. D. Aston; Jane-Ling Wang (J. Comput. Graph. Stat., 2022)

Detecting Errors in Numerical Data via any Regression Model. - Hang Zhou 008; Jonas Mueller 001; Mayank Kumar; Jane-Ling Wang; Jing Lei (CoRR, 2023)

SAND: Smooth imputation of sparse and noisy functional data with Transformer networks. - Ju-Sheng Hong; Junwen Yao; Jonas W. Mueller; Jane-Ling Wang (NeurIPS, 2024)