Publications
Peer-Reviewed Journal Articles
- Conformal inference for random objects. [preprint][BibTeX]
Hang Zhou and Hans-Georg Müller.
In major revision at Annals of Statistics, (2024+).
- Deep regression for repeated measurements.
Shunxing Yan, Hang Zhou and Fang Yao.
In minor revision at Journal of American Statistical Association, (2024+).
Fan Zhang, Hang Zhou, Xian-Sheng Hua, Chong Chen and Xiao Luo.
IEEE Transactions on Pattern Analysis and Machine Intelligence, (2024).
Hang Zhou, Jonas Mueller, Mayank Kumar, Jane-Ling Wang and Jing Lei.
Journal of Data-centric Machine Learning Research, (2024).
- Wasserstein-Fréchet Integration of Conditional Distributions.
Álvaro Gajardo, Hans-Georg Müller and Hang Zhou.
In minor revision at Electronic Journal of Statistics, (2024+).
- Theory of functional principal component analysis for noisy and discretely observed data. [preprint][BibTeX]
Hang Zhou, Dongyi Wei and Fang Yao.
In revision at Annals of Statistics, (2024+).
- Intrinsic Wasserstein Correlation Analysis. [journal][preprint][BibTeX][code]
Hang Zhou, Zhenhua Lin and Fang Yao.
Statistica Sinica, in press (2024+).
- Functional linear regression for discretely observed data: from ideal to reality. [journal][BibTeX][code]
Hang Zhou, Fang Yao and Huiming Zhang.
Biometrika, (2023).
Conference Papers
Xiao Luo, Yiyang Gu, Huiyu Jiang, Hang Zhou, Jinsheng Huang, Wei Ju, Zhiping Xiao, Ming Zhang, and Yizhou Sun.
In The Forty-first International Conference on Machine Learning, (2024).
- EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics.
Jingyang Yuan, Gongbo Sun, Zhiping Xiao, Hang Zhou, Xiao Luo, Junyu Luo, Yusheng Zhao, Wei Ju, Ming Zhang.
In The Thirty-eighth Annual Conference on Neural Information Processing Systems, (2024).
Pre-Preints
- Optimal transport representations and functional principal components for distribution-valued processes. [preprint][BibTeX]
Hang Zhou and Hans-Georg Müller.