Zhihe (Lucas) Lu

Dr. Zhihe Lu is an assistant professer at Hamad Bin Khalifa University (HBKU), working 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 like IEEE TIP and PR. Before joining HBKU, he was a research fellow at National University of Singapore, working with Prof. Xinchao Wang. He finished the PhD degree at University of Surrey under the supervision of Prof. Tao Xiang and Prof. Yi-Zhe Song and the 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/collaborate with Dr. Xiatian Zhu, Prof. Timothy Hospedales, Dr. Da Li, Dr. Sen He and Prof. Shuicheng Yan.

Email  /  CV  /  Google Scholar  /  Github

Research Interests
Computer Vision: Object Recognition and Semantic Segmentation
Transfer Learning: Unsupervised Domain Adaptation, Source-free Domain Adaptation and Test-time Adaptation
Few-shot Learning: Meta-learning and Generalized Few-shot Models
Effcient Tuning of Foundation Models: Effcient Tuning of Vision-Language Models
If you are interested, welcome to reach out to collaborate 😃.

Prospective Students/Staffs
- I am seeking self-motivated and passionate PhD students and Postdocs to work on exciting projects in computer vision and deep learning. We offer a competitive salary/scholarship and a supportive research environment. Interested candidates, please email me your CV and transcripts.
- I believe in a student-centered, inclusive approach, aiming to provide personalized guidance and foster a bright future for each student/staff in my team.

Recent News
2025.02.24: One paper accepted on TIP 2025.
2025.01.05: Joined HBKU as an assistant professer.

Selected Publications

Teaching
Undergraduate Courses: Data Structures

Professional Service
Journal Reviewers: TPAMI, IJCV, TIP, PR, etc.
Conference Reviewers: CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, etc.