Scholar
Yuchen Zhou
Google Scholar ID: Wt9Cg7YAAAAJ
Department of Statistics, University of Illinois Urbana-Champaign
Citations & Impact
Citations
322
H-index
9
i10-index
9
Publications
12
Co-authors
12
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Paper 'Heteroskedastic Tensor Clustering' (with Yuxin Chen), under revision
- Paper 'Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA' (with Yuxin Chen), accepted to Annals of Statistics
- Paper 'Inference for Low-rank Tensors – No Need to Debias' (with Dong Xia, Anru Zhang, alphabetical order), published in Annals of Statistics, 2022
- Paper 'Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration' (with Anru Zhang, Lili Zheng, Yazhen Wang), published in IEEE Transactions on Information Theory, 2022 (This paper received IMS Hannan Graduate Student Travel Award, 2021)
- Paper 'Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference' (with T. Tony Cai, Anru Zhang, alphabetical order), published in IEEE Transactions on Information Theory, 2022
- Paper 'High-dimensional Log-Error-in-Variable Regression with Applications to Microbial Compositional Data Analysis' (with Pixu Shi, Anru Zhang, equal contributions), published in Biometrika, 2022 (This paper received Biometrics Early-Stage Investigator Award by the Biometrics Section of the American Statistical Association, 2019)
- Paper 'On the Non-asymptotic and Sharp Lower Tail Bounds of Random Variables' (with Anru Zhang, alphabetical order), published in STAT, 2020
- Paper 'Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation' (with Chen Dan, Hong Wang, Hongyang Zhang, Pradeep Ravikumar, equal contributions), published in Advances in Neural Information Processing Systems (NeurIPS), 2019
- Paper 'Dropout Training, Data-dependent Regularization, and Generalization Bounds' (with Wenlong Mou, Jun Gao, Liwei Wang), published in International Conference on Machine Learning (ICML), 2018
- Paper 'Low Rank Approximation of Binary Matrices: Column Subset Selection and Generalizations' (with Chen Dan, Kristoffer Arnsfelt Hansen, He Jiang, Liwei Wang, alphabetical order), published in 43rd International Symposium on Mathematical Foundations of Computer Science (MFCS), 2018
Background
- Research interests include high-dimensional statistical inference, tensor data analysis, statistical learning theory, and nonconvex optimization. Currently an assistant professor in the Department of Statistics at the University of Illinois Urbana-Champaign.
Miscellany
- Erdős number is 3
