王晓莉，女，四川达州人，中共党员。2025年博士毕业于南京理工大学，博士就读期间曾在新加坡科技与设计大学访问。2025年加入南京林业大学工作，担任信息科学技术学院、人工智能学院计算机科学与工程系校聘副教授，F类人才引进。研究方向包括多视图/模态表示学习，半监督学习等。随时欢迎具有自驱力和上进心的学生联系我开展研究合作，欢迎通过电子邮件与我联系。

Publication 详见 Google Scholar

[1] Xiaoli Wang, Yongli Wang, Jun Liu, et al. Global-semantic Distillation for Partial Multi-view Classification (AAAI Conference on Artificial Intelligence(AAAI)),  2025. (CCF  A类)。

[2] Xiaoli Wang, Yongli Wang, Jun Liu, et al. Trusted Semi-supervised Multi-view Classification with Contrastive Learning[J]. IEEE Transactions on Multimedia, 2024. (CCF  B类，SCI 1区Top)

[3] Xiaoli Wang, Liyong Fu, Zechao Li, et al. MMatch: Semi-supervised discriminative representation learning for multi-view classification[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2022. (CCF  B类，SCI 1区Top)

[4] Xiaoli Wang, Yongli Wang, Guanzhou Ke, et al. Knowledge Distillation-Driven Semi-Supervised Multi-View Classification[J]. Information Fusion, 2024, 103: 102098. (SCI 1区, IF=14.8)

[5] Xiaoli Wang, Zhifan Zhu, Yan Song, et al. GRNet: Graph-Based Remodeling Network for Multi-View Semi-Supervised Classification[J]. Pattern Recognition Letters, 2021, 151: 95-102. (SCI 3区, CCF C类)

[6]Guanzhou Ke, Guoqing Chao, Xiaoli Wang, et al. A clustering-guided contrastive fusion for multi-view representation learning[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2023. 

[7]Guanzhou Ke, Bo Wang, Xiaoli Wang, et al. Rethinking multi-view representation learning via distilled disentangling. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024.