Scholar
Mengzhu Wang
Google Scholar ID: sgQmLjgAAAAJ
National University of Defense Technology
Citations & Impact
Citations
1,102
H-index
20
i10-index
29
Publications
20
Co-authors
4
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published over 80 papers in top conferences and journals such as CVPR, ICML, ICLR, AAAI, ACM MM, IEEE TIP, IEEE TKDE, and IEEE TNNLS. Some recent publications include 'Robust Integrative Analysis of Multi-omics Datasets via Nuclear-norm Maximization' (AAAI 2026), 'GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation' (ICML 2025), etc.
Research Experience
- Interned at JD Explore Academy and DAMO Academy of Alibaba Group; Serving as a Program Committee Member for top-tier AI conferences including ICML, ICLR, NeurIPS, CVPR, etc.
Education
- Received M.Sc. degree from Chongqing University in 2018; Ph.D. degree from the National University of Defense Technology in 2023.
Background
- Research Interests: Machine Learning, Transfer Learning; Professional Field: Artificial Intelligence; Brief Introduction: Currently a Tenure-Track Associate Professor (Yuanguang Scholar) at the School of Artificial Intelligence, Hebei University of Technology. Long-term goal is to design robust and efficient transfer learning models that can adapt well to real-world scenarios, especially in challenging settings like medical image segmentation and single-cell multi-omics.
Miscellany
- Contact: dreamkily@gmail.com; The research group plans to recruit 7 master's students in 2026, with research directions covering transfer learning, computer vision, large models, medical image segmentation, and single-cell multi-omics.
