基本信息
李晓翠，河南郑州人，计算机学院软件工程系副教授，工学博士，博士生导师。主要研究方向为数据挖掘、多视图聚类、弱监督学习。主持国家自然科学基金、湖南省自然科学基金、湘江实验室开放基金和湖南省教育厅优秀青年项目等多项国家级及省部级项目；获湖南省人工智能学会科技创新奖二等奖2项、湖南省教学成果二等奖1项；以第一/通讯作者在IEEE TIP、AAAI等人工智能领域顶刊顶会发表学术论文20余篇。主讲《数据结构》《C语言程序设计》等本科核心课程。招收管理科学与人工智能交叉方向博士，软件工程学硕，电子信息专硕。联系方式：email：xiaocuiworld@163.com
教育背景
2006.9~2010.6中国矿业大学 本科
2010.9~2013.6中国矿业大学 硕士
2016.9~2020.12华中科技大学 工学博士
2018.4~2019.4澳大利亚 昆士兰大学
工作履历
2013.7-2016.7：湖南工学院、专任教师；
2021.7-至今：湖南工商大学、讲师、副教授；
教授课程
本科生课程：《C语言程序设计》《数据结构》《Python程序设计》等
研究生课程：《前沿技术讲座》《数据分析与可视化》等
研究领域
数据挖掘、多模态融合、机器学习
科研项目
[1] 国家自然科学基金青年项目，2026.1-2028.12，主持，在研。
[2] 湘江实验室开放基金，2025/11-2026/11，主持，在研。
[3] 国家科技部重点研发子课题，2023/10-2026/10，骨干成员，在研。
[4] 湖南省自然科学基金项目，2023/01-2025/12，主持，结题。
[5] 湖南省教育厅优秀青年项目，2022/01-2025/01，主持，结题。
[6] 湘江实验室开放基金，2022/11-2023/11，主持，结题。
[7] 湘江实验室重大项目，2022/11-2025/11，参与，结题。
学术成果
一、主要论文：
[1] Xiaocui Li, Guoliang Li, Xinyu Zhang, Jie Wen, Lian Wu. CrossNet-VGA: Variational Collaboration and Graph Attention Fusion for Incomplete Multi-View Clustering, IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 34, 2025: 7448-7461. (CCF A类期刊)
[2] Yangtao Wang, Xingwei Deng, Yanzhao Xie, Xiaocui Li*. End-to-End Knowledge Distillation for Unsupervised Domain Adaptation with Large Vision-language ModelsDomain Adaptation with Large Vision-language Models. AAAI 2026. (CCF A类会议)
[3] Xiaocui Li, Weili Chen, Xinyu Zhang, Yangtao Wang, Wei Liang, Keqin Li. RDS-Net: Recursive structure refinement network with Dual-awareness Shape transfer for point cloud completion. PATTERN RECOGNITION, 2026. (中科院一区)
[4] Hongxing You, Yangtao Wang*, Xiaocui Li. Graph-guided Cross-image Correlation Learning withAdaptive Global-local Feature Fusion for Fine-grained Visual Representation, INFORMATION FUSION, 2026. (中科院一区)
[5] Guodong Yi, Jianxu Zhang, Xinyu Zhang, Jian Ren, Wei Liang, Xiaocui Li*. FedCD: Contrastive-Distillation Regularization for Heterogeneous Data in Federated Learning. PATTERN RECOGNITION, 2026. (中科院一区)
[6] Yangtao Wang, Yujie Shi, Qi Zhang, Linruo Liu, Yanzhao Xie, Maobin Tang, Xiaocui Li*. Adaptive message passing mechanism for graph neural networks. PATTERN RECOGNITION, 2026. (中科院一区)
[7] Xiaocui Li, Dan He, Xinyu Zhang: Efficient Algorithms for Approximate k-Radius Coverage Query on Large-Scale Road Networks. IEEE Trans. Intell. Transp. Syst. 2025, 26(2): 1631-1644. (中科院一区)
[8] Xiaocui Li, Guoliang Li, Xinyu Zhang, Yangtao Wang, Qingyu Shi, Wei Liang: Incomplete Multi-view Clustering via Local Reasoning and Correlation Analysis. WSDM 2025 (CCF B类会议)
[9] Xiaocui Li, Yu Xiao, Xinyu Zhang, Qingyu Shi, Xiance Tan: ImMC-CSFL: Imbalanced Multi-view Clustering Algorithm Based On Common-Specific Feature Learning, PAKDD 2024. (CCF C类会议)
[10] Xiaocui Li, Hongzhi Yin, Ke Zhou, Xiaofang Zhou. Semi-supervised clustering with deep metric learning and graph embedding, World Wide Web Journal 2020, 23(2): 781-798. (CCF B类期刊)
[11] Xiaocui Li, Zhou Ke, Li Chunhua, Zhang Xinyu, Liu Yu, Wang Yangtao. Multi-view clustering via neighbor domain correlation learning, Neural Computing and Applications, 2021, 33(8): 3403-3415. (中科院二区)
[12] Xiaocui Li, Yangtao Wang, Jingkuan Song, Yu Liu, Xinyu Zhang, Ke Zhou, Chunhua Li, A low cost and un-cancelled laplace noise based differential privacy algorithm for spatial decompositions, World Wide Web Journal 2020, 23(1): 549-572.(CCF B类期刊)
[13] Xiaocui Li, Hongzhi Yin, Ke Zhou, Hongxu Chen, Shazia W. Sadiq, Xiaofang Zhou. Semi-supervised Clustering with Deep Metric Learning, DASFAA 2019. ( CCF B类会议)
[14] Zhang Xinyu, Xiaocui Li#, Jing Xiao-Yuan, and Cheng Li. Simultaneous Image Reconstruction and Feature Learning with 3D-CNNs for Image Set Based Classification, ACM Transactions on Data Science 2021, 2(2): 12:1-12:13. (共同第一作者）
[15] Xiaocui Li, Yangtao Wang, Xinyu Zhang, Ke Zhou, Chunhua Li. A More Secure Spatial Decompositions Algorithm via Indefeasible Laplace Noise in Differential Privacy. ADMA 2018. (最佳学生论文，CCF C类会议)
[16] Zhixiao Wang, Chengcheng Sun, Jingke Xi, Xiaocui Li*. Influence maximization in social graphs based on community structure and node coverage gain, Future Generation Computer Systems 2021, 118: 327-338. (中科院一区)
[17] Yangtao Wang, Yanzhao Xie, Yu Liu, Ke Zhou, Xiaocui Li. Fast Graph Convolution Network Based Multi-label Image Recognition via Cross-modal Fusion. CIKM 2020. (CCF B 类会议)
[18] 李晓翠, 孟凡荣, 周勇.一种基于代表点的快速聚类算法. 南京大学学报:自然科学版. 2012. 48(4):504-512.
[19] 孟凡荣, 李晓翠, 周勇. 一种基于代表点的增量聚类算法. 计算机应用研究. 2012.29(8): 2865-2867.
[20] 李晓翠, 张新玉, 罗庆云, 任长安．基于统计特征向量的时序符号化改进算法．计算机工程,2015,41(010):155-159.
奖励和荣誉
1. 湖南省人工智能学会科技创新奖二等奖
2. 湖南省教学成果二等奖
