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Dr. Zhihe Lu
Assistant Professor
Educational Qualifications
PhD in Computer Vision
MSc in Computer Technology
Entity
College of Science and Engineering
Division
Information & Computing Technology
Biography
Dr. Zhihe Lu is an Assistant Professor at the College of Science and Engineering. His research focuses on machine learning and computer vision. He has published 19 technical papers in leading venues, including CVPR, ICCV, ECCV, NeurIPS, ICML, ACM MM, and top journals such as IEEE TIP and PR.
He was a Research Fellow at the National University of Singapore, working with Prof. Xinchao Wang, before joining HBKU. He finished his PhD at the University of Surrey under the supervision of Prof. Tao Xiang and Prof. Yi-Zhe Song. He also completed his master's degree at the Institute of Automation, Chinese Academy of Sciences, supervised by Prof. Ran He and Prof. Zhaoxiang Zhang.
He was also fortunate to work and collaborate with Dr. Xiatian Zhu, Prof. Timothy Hospedales, Dr. Da Li, Dr. Sen He, and Prof. Shuicheng Yan.
PhD in Computer Vision
University of Surrey, United Kingdom
2022
MSc in Computer Technology
Chinese Academy of Sciences, Institute of Automation, China
2019
BA in Automation
Zhengzhou University, China
2014
- Computer vision
- Transfer learning
- Few-shot learning
- Efficient tuning of foundation models
Assistant Professor
College of Science and Engineering, Hamad Bin Khalifa University
2025 - Present
Research Fellow
Department of Electrical and Computer Engineering, National University of Singapore, Singapore
2022 - 2024
Lu, Z., Bai, J., Li, X., Xiao, Z., & Wang, X. (2024, July). Beyond sole strength: Customized ensembles for generalized vision-language models. In Proceedings of the International Conference on Machine Learning (pp. 32924-32938). PMLR.
Lu, Z., Li, D., Song, Y. Z., Xiang, T., & Hospedales, T. M. (2023). Uncertainty-aware source-free domain adaptive semantic segmentation. IEEE Transactions on Image Processing, 32, 4664-4676.
Lu, Z., He, S., Li, D., Song, Y. Z., & Xiang, T. (2023). Prediction calibration for generalized few-shot semantic segmentation. IEEE Transactions on Image Processing, 32, 3311-3323.
Lu, Z., He, S., Zhu, X., Zhang, L., Song, Y. Z., & Xiang, T. (2021). Simpler is better: Few-shot semantic segmentation with classifier weight transformer. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 8741-8750).
Lu, Z., Yang, Y., Zhu, X., Liu, C., Song, Y. Z., & Xiang, T. (2020). Stochastic classifiers for unsupervised domain adaptation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 9111-9120).
Complete Publication Listing(s): Google Scholar