Personal Information
Jiaqi Bao is a PhD student with the Graduate School of Information Science and Technology at Hokkaido University, Japan.
She was born in December, 1993, in Gansu, China. She received the B.S. degree from Nanjing University of Posts and Telecommunications, China. In 2016, She received the M.S. degree in Software Engineering from Shenzhen University (Supervisor: Prof. Zhihui Lai), China, in 2020. From April, 2021 to present, She is pursing the Ph.D. degree in the Graduate School of Information Science and Technology at Hokkaido University (Supervisor: Prof. Mineichi Kudo), Japan.
Her current research interests include Machine Learning, Pattern Recognition, Feature Extraction and Transfer Learning.
Email: bao@ist.hokudai.ac.jp
Publications
- Jiaqi Bao, Zhihui Lai, Xuechen Li. Relaxed Local Preserving Regression for Image Feature Extraction. Multimedia Tools and Applications (2020). https://doi.org/10.1007/s11042-020-09802-9.
- Zhihui Lai, Jiaqi Bao, Minghua Wan, Guowei Yang, Discriminative Low-Rank Projection for Robust Subspace Learning. International Journal of Machine Learning and Cybernetics, 11, 2247–2260 (2020). https://doi.org/10.1007/s13042-020-01113-7.
- Jiaqi Bao, Jianglin Lu, Zhihui Lai, Ning Liu, Yuwu Lu. Robust Embedding Regression for Face Recognition. In: Chinese Conference on Pattern Recognition and Computer Vision, pp. 102-113 (2019). https://doi.org/10.1007/978-3-030-31723-2_9