Jane-Ling Wang

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 16

Top Topics

Temporal Correlation

Additive Models

Top Venues

Comput. Stat. Data Anal.

J. Comput. Graph. Stat.

Publications

Hang Zhou, Jonas Mueller, Mayank Kumar, Jane-Ling Wang, Jing Lei
Detecting Errors in Numerical Data via any Regression Model. CoRR (2023)
Ci-Ren Jiang, Eardi Lila, John A. D. Aston, Jane-Ling Wang
Eigen-Adjusted Functional Principal Component Analysis. J. Comput. Graph. Stat. 31 (4) (2022)
Yaqing Chen, Paromita Dubey, Hans-Georg Müller, Muriel Bruchhage, Jane-Ling Wang, Sean C. L. Deoni
Modeling sparse longitudinal data in early neurodevelopment. NeuroImage 237 (2021)
Junwen Yao, Jonas Mueller, Jane-Ling Wang
Deep Learning for Functional Data Analysis with Adaptive Basis Layers. CoRR (2021)
Junwen Yao, Jonas Mueller, Jane-Ling Wang
Deep Learning for Functional Data Analysis with Adaptive Basis Layers. ICML (2021)
Seong-Eun Moon, Chun-Jui Chen, Cho-Jui Hsieh, Jane-Ling Wang, Jong-Seok Lee
Emotional EEG Classification using Connectivity Features and Convolutional Neural Networks. CoRR (2021)
Qixian Zhong, Jonas Mueller, Jane-Ling Wang
Deep Extended Hazard Models for Survival Analysis. NeurIPS (2021)
Xiaoke Zhang, Qixian Zhong, Jane-Ling Wang
A new approach to varying-coefficient additive models with longitudinal covariates. Comput. Stat. Data Anal. 145 (2020)
Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh, Jane-Ling Wang, Michael I. Jordan
ML-LOO: Detecting Adversarial Examples with Feature Attribution. AAAI (2020)
Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh, Jane-Ling Wang, Michael I. Jordan
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data. J. Mach. Learn. Res. 21 (2020)
Seong-Eun Moon, Chun-Jui Chen, Cho-Jui Hsieh, Jane-Ling Wang, Jong-Seok Lee
Emotional EEG classification using connectivity features and convolutional neural networks. Neural Networks 132 (2020)
Chun-Jui Chen, Jane-Ling Wang
A New Approach for Functional Connectivity via Alignment of Blood Oxygen Level-Dependent Signals. Brain Connect. 9 (6) (2019)
Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh, Jane-Ling Wang, Michael I. Jordan
ML-LOO: Detecting Adversarial Examples with Feature Attribution. CoRR (2019)
Frédéric Ferraty, Piotr Kokoszka, Jane-Ling Wang, Yichao Wu
Editorial for the special issue on High-dimensional and functional data analysis. Comput. Stat. Data Anal. 131 (2019)
Yang Zhou, Shu-Chin Lin, Jane-Ling Wang
Local and global temporal correlations for longitudinal data. J. Multivar. Anal. 167 (2018)
Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh, Jane-Ling Wang, Michael I. Jordan
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data. CoRR (2018)
Jesse J. Bengson, Todd A. Kelley, Xiaoke Zhang, Jane-Ling Wang, George R. Mangun
Spontaneous Neural Fluctuations Predict Decisions to Attend. J. Cogn. Neurosci. 26 (11) (2014)
Ci-Ren Jiang, John A. D. Aston, Jane-Ling Wang
Smoothing dynamic positron emission tomography time courses using functional principal components. NeuroImage 47 (1) (2009)