Jane-Ling Wang

22 papers A* 4Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Detecting Errors in a Numerical Response via any Regression Model.
J. Data-centric Mach. Learn. Res.
Hang Zhou, Jonas Mueller, Mayank Kumar, Jane-Ling Wang, Jing Lei
2024 A* conf
SAND: Smooth imputation of sparse and noisy functional data with Transformer networks.
NeurIPS
Ju-Sheng Hong, Junwen Yao, Jonas W. Mueller, Jane-Ling Wang
2023 J jnl
Detecting Errors in Numerical Data via any Regression Model.
CoRR
Hang Zhou, Jonas Mueller, Mayank Kumar, Jane-Ling Wang, Jing Lei
2022 J jnl
Eigen-Adjusted Functional Principal Component Analysis.
J. Comput. Graph. Stat.
Ci-Ren Jiang, Eardi Lila, John A. D. Aston, Jane-Ling Wang
2021 A* conf
Deep Extended Hazard Models for Survival Analysis.
NeurIPS
Qixian Zhong, Jonas Mueller, Jane-Ling Wang
2021 A* conf
Deep Learning for Functional Data Analysis with Adaptive Basis Layers.
ICML
Junwen Yao, Jonas Mueller, Jane-Ling Wang
2021 J jnl
Deep Learning for Functional Data Analysis with Adaptive Basis Layers.
CoRR
Junwen Yao, Jonas Mueller, Jane-Ling Wang
2021 J jnl
Emotional EEG Classification using Connectivity Features and Convolutional Neural Networks.
CoRR
Seong-Eun Moon, Chun-Jui Chen, Cho-Jui Hsieh, Jane-Ling Wang, Jong-Seok Lee
2021 J jnl
Modeling sparse longitudinal data in early neurodevelopment.
NeuroImage
Yaqing Chen, Paromita Dubey, Hans-Georg Müller, Muriel Bruchhage, Jane-Ling Wang, Sean C. L. Deoni
2020 J jnl
A new approach to varying-coefficient additive models with longitudinal covariates.
Comput. Stat. Data Anal.
Xiaoke Zhang, Qixian Zhong, Jane-Ling Wang
2020 J jnl
Emotional EEG classification using connectivity features and convolutional neural networks.
Neural Networks
Seong-Eun Moon, Chun-Jui Chen, Cho-Jui Hsieh, Jane-Ling Wang, Jong-Seok Lee
2020 J jnl
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data.
J. Mach. Learn. Res.
Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh, Jane-Ling Wang, Michael I. Jordan
2020 A* conf
ML-LOO: Detecting Adversarial Examples with Feature Attribution.
AAAI
Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh, Jane-Ling Wang, Michael I. Jordan
2019 J jnl
A New Approach for Functional Connectivity via Alignment of Blood Oxygen Level-Dependent Signals.
Brain Connect.
Chun-Jui Chen, Jane-Ling Wang
2019 J jnl
Editorial for the special issue on High-dimensional and functional data analysis.
Comput. Stat. Data Anal.
Frédéric Ferraty, Piotr Kokoszka, Jane-Ling Wang, Yichao Wu
2019 J jnl
ML-LOO: Detecting Adversarial Examples with Feature Attribution.
CoRR
Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh, Jane-Ling Wang, Michael I. Jordan
2018 J jnl
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data.
CoRR
Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh, Jane-Ling Wang, Michael I. Jordan
2018 J jnl
Local and global temporal correlations for longitudinal data.
J. Multivar. Anal.
Yang Zhou, Shu-Chin Lin, Jane-Ling Wang
2014 J jnl
FMEM: Functional mixed effects modeling for the analysis of longitudinal white matter Tract data.
NeuroImage
Ying Yuan, John H. Gilmore, Xiujuan Geng, Martin Andreas Styner, Kehui Chen, Jane-Ling Wang, Hongtu Zhu
2014 J jnl
Spontaneous Neural Fluctuations Predict Decisions to Attend.
J. Cogn. Neurosci.
Jesse J. Bengson, Todd A. Kelley, Xiaoke Zhang, Jane-Ling Wang, George R. Mangun
2013 — conf
A Longitudinal Functional Analysis Framework for Analysis of White Matter Tract Statistics.
IPMI
Ying Yuan, John H. Gilmore, Xiujuan Geng, Martin Andreas Styner, Kehui Chen, Jane-Ling Wang, Hongtu Zhu
2009 J jnl
Smoothing dynamic positron emission tomography time courses using functional principal components.
NeuroImage
Ci-Ren Jiang, John A. D. Aston, Jane-Ling Wang