- Yuetian Luo, Anru Zhang, "Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence ".
- Yuetian Luo, Anru Zhang, "Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits ".
- Rungang Han, Yuetian Luo, Miaoyan Wang, Anru Zhang, "Exact clustering in tensor block model: Statistical optimality and computational limit"
(This paper received the Best Student's Paper Award from the Statistical Learning and Data Science Section of the American Statistical Association, 2021 JSM)
- Yuetian Luo, Wen Huang, Xudong Li, Anru Zhang, "Recursive Importance Sketching for Rank Constrained Least Squares"
- Yuetian Luo, Rungang Han, Anru Zhang, "A Schatten-q matrix perturbation theory via Perturbation Projection Error Bound "
- Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru Zhang, "A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration"
- Anru Zhang, Yuetian Luo, Garvesh Raskutti, Ming Yuan, " ISLET: fast and optimal low-rank tensor regression via importance sketchings ", SIAM Journal on Mathematics of Data Science, 2020.
- Yuetian Luo, Anru Zhang, " Open problem: Average-case hardness of hypergraphic planted clique detection ",Conference of Learning Theory (COLT), 2020
- Yang Li, Yuetian Luo, Davide Ferrari, Xiaonan Hu, Yichen Qin. " Model confidence bounds for variable selection " Biometrics, 75(2), 392-403, 2019 (with discussion).
- Yang Li, Yuetian Luo, Davide Ferrari, Xiaonan Hu, Yichen Qin, " "Rejoinder to Discussions on: Model confidence bounds for variable selection. ", Biometrics 75, no. 2 (2019): 411-413, 2019.
- Yuetian Luo, Zachary A Pardos, "Diagnosing university student subject proficiency and predicting degree completion in vector space ", In Thirty-Second AAAI Conference on Artificial Intelligence, 2018