Haobo Qi

Dr. Qi is now a lecturer of School of Statistics at Beijing Normal University. He completed his Ph.D. in Economics at Guanghua School of Management, Peking University in 2023. His research interests include statistical optimization, large-scale data statistical analysis, network data analysis and statistical theory in deep learning.

Education and Work Experience

2023 - Now Lecturer, School of Statistics, Beijing Normal University, China

2019 - 2023 Ph.D. in Economics, Guanghua School of Management, Peking University, China

2015 - 2019 B.A. in Science, School of Statistics, Beijing Normal University, China

Contact Information

School of Statistics

Beijing Normal University

No. 19, Xinjiekou Outer Street, Haidian District

Beijing, China 100875

E-mail: haobo4869@bnu.edu.cn

Publications

[1] Li, Y., Qi, H.*, and Wang, H. (2024). A Note about Why Deep Learning is Deep: A Discontinuous Approximation Perspective, Stat, 13(1), e654.

[2] Qi, H., Zhu, X.*, and Wang, H. (2024). A random projection method for large-scale community detection, Statistical and Its Interface, 17(2), 159-172.

[3] Qi, H., Wang, F.*, and Wang, H. (2023). Statistical Analysis of Fixed Mini-Batch Gradient Descent Estimator, Journal of Computational and Graphical Statistics, 32(4), 1348-1360.

[4] Qi, H., Cao, J., Chen, S., and Zhou, J.* (2023). Compressing Recurrent Neural Network Models through Principal Component Analysis, Statistical and Its Interface, 16(3), 397-407.

[5] Qi, H., Zhou, J.*, and Wang, H. (2022). A Note on Factor Normalization for Deep Neural Network Models, Scientific Reports, 12, 5909.

[6] Zhou, J., Qi, H.*, Chen, Y., and Wang, H. (2021). Progressive Principle Component Analysis for Compressing Deep Convolutional Neural Networks, Neurocomputing, 440, 197-206.

[7] Gao, Y., Zhu, X.*, Qi, H., Li, G., Zhang, R., and Wang, H. (2023). An Asymptotic Analysis of Random Partition Based Minibatch Momentum Methods for Linear Regression Models, Journal of Computational and Graphical Statistics, 32(3), 1083-1096.

[8] Wang, F., Zhu, Y., Huang, D.*, Qi, H., and Wang, H. (2021). Distributed One-step Upgraded Estimation for Non-uniformly and Non-randomly Distributed Data, Computational Statistics & Data Analysis, 162, 107265.

Courses

UG：Deep Learning, Mathematical Statistics (Programming based on R)