Publications (Google Scholar Profile)

Sufficient dimension reduction for feature matrices
Chanwoo Lee. Under review.

Statistical and computational rates in high rank tensor estimation
Chanwoo Lee and Miaoyan Wang. Under review.

• This work wins the Lawrence D. Brown Ph.D. Student Award from the Institute of Mathematical Statistics (IMS), 2024.
• This work wins Best Student Paper Award from the Statistical Learning and Data Science Section of American Statistical Association (ASA), 2023.

Smooth tensor estimation with unknown permutations
Chanwoo Lee and Miaoyan Wang. Journal of the American Statistical Association - Theory and Methods (JASA), accepted, 2024.

• This work wins NESS Student Research Award, 2022.
• This work wins IMS Hannan Graduate Student Travel Award, 2022.
• Part of the work is selected as oral presentation into NeurIPS 2021 Workshop on Quantum Tensor Networks in Machine Learning.

Nonparametric trace regression in high dimensions via sign series representation
Chanwoo Lee, Lexin Li, Hao Helen Zhang, and Miaoyan Wang. Under review.

Beyond the Signs: Nonparametric tensor completion via sign series
Chanwoo Lee and Miaoyan Wang. Advances in Neural Information Processing Systems 34 (NeurIPS), 2021.

Generalized Tensor Decomposition with Features on Multiple Modes
Jiaxin Hu, Chanwoo Lee, and Miaoyan Wang. Journal of Computational and Graphical Statistics (JCGS), 2021.

• This work wins Best Student Paper Award from the Statistical Computing and Graphics Section of American Statistical Association (ASA), 2021.
• Part of the work is accepted into NeurIPS 2020 Workshop on Machine Learning and the Physical Sciences.

Tensor denoising and completion based on ordinal observations
Chanwoo Lee and Miaoyan Wang. Proceedings of International Conference on Machine Learning (ICML), 2020.