Ju-Sheng Hong — accepted AI-conference papers

2026

Deep Neural Network Regression with Functional Covariates

Hang Zhou, Ju-Sheng Hong, Xiucai Ding, Jane-Ling Wang

ICML 2026poster

Regression with functional covariates poses fundamental challenges due to the infinite-dimensional nature of functional data, and its theoretical properties have been studied under specialized frameworks in classical nonparametric statistics. While deep neural networks (DNNs) have demonstrated remar…

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2024

SAND: Smooth imputation of sparse and noisy functional data with Transformer networks

Ju-Sheng Hong, Junwen Yao, Jonas Mueller, Jane-Ling Wang

NeurIPS 2024poster

Although the transformer architecture has come to dominate other models for text and image data, its application to irregularly-spaced longitudinal data has been limited. We introduce a variant of the transformer that enables it to more smoothly impute such functional data. We augment the vanilla tr…

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