逯文琪

逯文琪，南开大学统计与数据科学学院特聘副研究员。2022年获得复旦大学和香港城市大学（联合培养）博士学位，主要从事分位数回归，张量数据分析，因子模型，缺失数据等方面的研究，主持一项国家自然科学基金青年项目，成果发表于Journal of Machine Learning Research，Journal of Econometrics，Statistica Sinica等期刊。

数学分析习题课I II

国家自然科学基金委员会青年科学基金项目（C类）基于再生核希尔伯特空间的函数型张量回归，主持

天津市自然科学基金青年基金，一类高维张量分位数回归模型的估计方法，主持

Lu, W., Zhang, Y., Zhu, Z., & Lian, H. (2026). Tensor Additive Quantile Regression. Journal of Computational and Graphical Statistics, accepted.

Lu, W., Lin, H., and Lian, H. (2026) Randomized Tensor Decomposition and Optimization in the Tucker and Tensor Train Formats. Journal of Computational and Applied Mathematics, 482, 117344.

Chen, D., Lu, W., and Xie, S. (2025). High frequency factor analysis with partially observable factors. Journal of Econometrics, 251, 106058.

Lu, W., Zhu, Z., Li, R., and Lian, H. (2024). Statistical performance of quantile tensor regression with convex regularization. Journal of Multivariate Analysis, 200, 105249.

Lu, W., Zhu, Z., Li, R., and Lian, H. (2024). Sparse multiple kernel learning: Minimax rates with random projection. Journal of Statistical Planning and Inference, 231, 106142.

Wang, Y., Lu, W., and Lian, H. (2024). Distributed statistical estimation in quantile regression over a network. Signal Processing, 222, 109512.

Lu, W., Zhu, Z., and Lian, H. (2023). Sparse and low-rank matrix quantile estimation with application to quadratic regression. Statistica Sinica, 33 (2), 1-15.

Wang, Y., Lu, W., and Lian, H. (2023). Best subset selection for high-dimensional non-smooth models using iterative hard thresholding. Information Sciences, 625, 36-48.

Liu, X., Lu, W., Lian, H., Liu, Y., and Zhu, Z. (2022). Partially Linear Additive Functional Regression. Statistica Sinica, 32 (4), 2199-2216.

Lu, W., Qin, G., Zhu, Z., and Tu, D. (2021). Multiply robust subgroup identification for longitudinal data with dropouts via median regression. Journal of Multivariate Analysis, 181, 104691.

Li, R., Lu, W., Zhu, Z., and Lian, H. (2021). Optimal prediction of quantile functional linear regression in reproducing kernel Hilbert spaces. Journal of Statistical Planning and Inference, 211, 162-170.

Lu, W., Zhu, Z., and Lian, H. (2020). High-dimensional Quantile Tensor Regression. Journal of Machine Learning Research, 21, 1-32.

Lian, H., Zhang, F., Lu, W. (2020). Randomized sketches for kernel CCA. Neural Networks, 127, 29-37.