Publications

Peer-Reviewed Journal Articles

• Functional linear regression for discretely observed data: from ideal to reality. [journal][BibTeX][code]

         Hang Zhou, Fang Yao and Huiming Zhang.

         Biometrika, (2023).

• Theory of functional principal component analysis for noisy and discretely observed data. [preprint][BibTeX]

         Hang Zhou, Dongyi Wei and Fang Yao.

         In minor revision at Annals of Statistics, (2025+).

• Conformal inference for random objects. [preprint][BibTeX]

         Hang Zhou and Hans-Georg Müller.

         In major revision at Annals of Statistics, (2025+).

• Deep regression for repeated measurements.

         Shunxing Yan, Hang Zhou and Fang Yao.

         Journal of American Statistical Association, accepted (2025+).

• Hope: A hierarchical perspective for semi-supervised 2D-3D cross-Modal retrieval. [journal][BibTeX]

         Fan Zhang, Hang Zhou, Xian-Sheng Hua, Chong Chen and Xiao Luo.

         IEEE Transactions on Pattern Analysis and Machine Intelligence, (2024).

• Intrinsic Wasserstein Correlation Analysis. [journal][preprint][BibTeX][code]

         Hang Zhou, Zhenhua Lin and Fang Yao.

         Statistica Sinica, in press (2024).

• Detecting Errors in Numerical Data via any Regression Model. [journal][BibTeX][code][blog]

         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, (2025+).

Conference Papers

• PGODE: Towards high-quality system dynamics modeling. [ICML][BibTeX]

         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).

• Future Matters for Present: Towards Effective Physical Simulation over Meshes.

         Xiao Luo, Junyu Luo, Huiyu Jiang, Hang Zhou, Zhiping Xiao, Wei Ju, Carl Yang, Ming Zhang, Yizhou Sun.

         ACM Conference on Knowledge Discovery and Data Mining, (2024).

Pre-Preints

• Optimal transport representations and functional principal components for distribution-valued processes. [preprint][BibTeX]

         Hang Zhou and Hans-Georg Müller.