Scholar
Zhihe Lu
Google Scholar ID: X4LKIhgAAAAJ
HBKU<--NUS<--University of Surrey<--CASIA
Citations & Impact
Citations
1,140
H-index
13
i10-index
15
Publications
20
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- - Published over 20 technical papers in leading venues such as CVPR, ICCV, ECCV, NeurIPS, ICML, ACM MM, and top journals like IEEE TIP and PR
- - Recent publications:
- - 2025.08.26: One paper accepted on TIP 2025
- - 2025.02.24: One paper accepted on TIP 2025
- - 2024.09.26: One paper accepted on NeurIPS 2024
- - 2024.07.16: Two papers accepted on ACM MM 2024
- - 2024.07.01: Two papers accepted on ECCV 2024
- - 2024.06.10: Gave a talk on ACM ICMR 2024
- - 2024.05.02: One paper accepted on ICML 2024
- - 2024.04.21: One paper accepted on PR 2024
- - 2023.09.22: Two papers accepted on NeurIPS 2023
- - 2023.07.11: One paper accepted on TIP 2023
- - 2023.05.26: One paper accepted on TIP 2023
- - 2023.02.28: One paper accepted on CVPR 2023
Research Experience
- - Assistant Professor at Hamad Bin Khalifa University (HBKU)
- - Research Fellow at National University of Singapore, working with Prof. Xinchao Wang
- - Collaborated with Dr. Xiatian Zhu, Prof. Timothy Hospedales, Dr. Da Li, Dr. Sen He, and Prof. Shuicheng Yan
Education
- - PhD: University of Surrey, supervised by Prof. Tao Xiang and Prof. Yi-Zhe Song
- - Master's: Institute of Automation, Chinese Academy of Sciences, supervised by Prof. Ran He and Prof. Zhaoxiang Zhang
Background
- - Research Interests: Computer Vision, Transfer Learning, Few-shot Learning, Efficient Tuning of Foundation Models
- - Professional Field: Object Recognition and Semantic Segmentation, Unsupervised Domain Adaptation, Meta-learning, etc.
- - Introduction: Currently an assistant professor at Hamad Bin Khalifa University (HBKU), focusing on machine learning and computer vision.
Miscellany
- - Seeking self-motivated and passionate PhD students and Postdocs to work on exciting projects in computer vision and deep learning, offering competitive salary/scholarship and a supportive research environment
- - Believes in a student-centered, inclusive approach, aiming to provide personalized guidance and foster a bright future for each student/staff in the team
