LZM
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- Associate professor
- Supervisor of Doctorate Candidates
- Supervisor of Master's Candidates
- Name (Pinyin):LZM
- Date of Employment:2021-08-01
- School/Department:信息学院
- Administrative Position:系副主任
- Education Level:博士研究生毕业
- Business Address:厦门大学海韵园科研2-302
- Degree:Doctor of Philosophy (PhD)
- Professional Title:Associate professor
- Status:在职
- Academic Titles:人工智能系
- Alma Mater:厦门大学
- Teacher College:School of Information
Contact Information
- Email：
- Paper Publications
- LZM.Exploring multi-loss function based attention framework for vehicle re-identification.Proceedings - 10th International Conference on Information Technology in Medicine and Education, ITME 2019,2018,666-670.
- LSZ,LZM.Invariance matters: Exemplar memory for domain adaptive person re-identification.Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2018,2019-June598-607.
- LSZ,LZM.A Simple and Convex Formulation for Multi-label Feature Selection.Communications in Computer and Information Science,1042 CCIS540-553.
- LZM.An HCI-based cognitive architecture for learning process observation.International Journal of Distance Education Technologies,2020,18(1):1-18.
- LSZ,LZM.Manifold regularized discriminative feature selection for multi-label learning.Pattern Recognition,2018,95136-150.
- LZM.Convolutional Neural Network With Shape Prior Applied to Cardiac MRI Segmentation.IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS,2018,23(3):1119-1128.
- LZM.Topology Analysis of Learning Cognitive Flow for Human-Computer Interaction.Proceedings - 9th International Conference on Information Technology in Medicine and Education, ITME 2018,2018,677-682.
- LZM.Weighted Res-UNet for High-Quality Retina Vessel Segmentation.Proceedings - 9th International Conference on Information Technology in Medicine and Education, ITME 2018,2018,327-331.
- LSZ,LZM.Towards a unified multi-source-based optimization framework for multi-label learning.Applied Soft Computing Journal,2018,76425-435.
- LSZ,LZM.A fast feature selection method based on mutual information in multi-label learning.Communications in Computer and Information Science,917424-437.