Liu Yanxia is a female doctor, associate professor and master tutor. She mainly engages in graph data management, semantic retrieval and mining, knowledge engineering, intelligent software and cross-domain complex system software development methods. She has presided one key project of the Guangdong Provincial Science and Technology Plan, one major production study research project of the Guangzhou Science and Technology Plan and one project of the Guangzhou Applied Basic Research Plan. She has participated in two project of the National Natural Science Foundation of China as a major member. And she has undertaken a number of enterprises and institutions entrusted technology development and information consulting projects and has rich experience in enterprise application development and management.
E-mail:cslyx@scut.edu.cn
Research Direction:Research in the fields of artificial intelligence, intelligent healthcare, industrial intelligent detection, and intelligent software
Representative Papers
1.Zhiqiang Liu, Yuhong Li, Chengkai Huang, KunTing Luo, Yanxia Liu*. Boosting fine-tuning via Conditional Online Knowledge Transfer. Neural Networks,2024,169: 325-333. (JCR Q1)
2.Yanxia Liu, Wenqi Wang, Yuhong Li, Haoyu Lai, Sijuan Huang and Xin Yang. Geometry-Consistent Adversarial Registration Model for Unsupervised Multi-Modal Medical Image Registration. IEEE Journal of Biomedical and Health Informatics, 2023,27(7):3455-3466. (JCR Q1)
3.Yanxia Liu, Anni Chen, Yuhong Li, Haoyu Lai, Sijuan Huang, Xin Yang,“CT synthesis from CBCT using a sequence-aware contrastive generative network”,Computerized Medical Imaging and Graphics, 2023,109:102300. (JCR Q1)
4.Suizhu Yang,Yanxia Liu*,Yuantong Jiang, Zhiqiang Liu,More refined superbag: Distantly supervised relation extraction with deep clustering,Neural Networks ,2023,157:193–201. (JCR Q1)
5.Liu, Yanxia, Xiaozhen Li, Rui Li, Sijuan Huang and Xin Yang. “A multi-view assisted registration network for MRI registration pre- and post-therapy.” Medical & Biological Engineering & Computing, 2023,61: 3181-3191. (JCR Q2)
