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廖萌萌

副教授,硕士研究生导师

联系方式:mmliao@shu.edu.cn

  • 个人简介

廖萌萌,复旦大学博士毕业。1066vip威尼斯机自学院副教授,从事模式识别、智能机器人等方面的研究,在人脸图像模式识别等方面取得系列成果。主持及参与国家级项目7项;发表高水平论文5篇;申请专利2项。

  • 主要研究领域

模式识别、机器学习、智能机器人技术(感知、决策、控制)。

  • 社会兼职

ICCC 2022 国际会议技术委员会委员、ICCC 2022 国际会议分会场主席、 ICIT 2022国际会议技术委员会委员、ICIT国际会议分会场主席、 国际期刊《Neural Networks》、《Signal, Image and Video Processing》、《Digital Signal Processing》、《Engineering Applications of Artificial Intelligence》、《IEEE Transactions on Intelligent Vehicles审稿人。

  • 代表性成果

在《Information Sciences》、《Expert Systems with Applications》、Knowledge-Based Systems》等国内外学术期刊发表SCI/EI论文20余篇、获授权发明专利2项。

▪ 论文

1Mengmeng Liao, Xiaodong Gu*. Subspace clustering based on alignment and graph embedding. Knowledge-Based Systems. 2020,188: 105029:1-17. (中科院1, 顶级期刊, IF8.139)

2、Mengmeng Liao, Xiaojin Fan, Yan Li*, Meiguo Gao. Noise-related face image recognition based on double dictionary transform learning. Information Sciences. 2023, 630:98-118. (中科院1区,顶级期刊,IF: 8.233)

3Mengmeng Liao, Yunjie Li*, Meiguo Gao. Graph-based adaptive and discriminative subspace learning for face image clustering. Expert Systems With Applications. 2022, 192: 116359:1–19. (中科院1区, 顶级期刊, IF: 8.665)

4Mengmeng Liao, Xiaodong Gu*. Face recognition approach by subspace extended sparse representation and discriminative feature learning. Neurocomputing. 2020, 373:35-49. (中科院2区, 顶级期刊, IF: 5.779)

5Xiaojin Fan, Mengmeng Liao*, Jingfeng Xue, Hao Wu, Lei Jin, Jian Zhao, Liehuang Zhu. Joint coupled representation and homogeneous reconstruction for multi-resolution small sample face recognition, Neurocomputing. 2023, 522: 89-104 (中科院2区, 顶级期刊, IF: 5.779)

6Mengmeng Liao, Xiaodong Gu*. Face recognition based on dictionary learning and subspace learning. Digital Signal Processing. 2019, 90: 110-124.

7Mengmeng Liao, Xiaodong Gu*. Face recognition algorithm based on feature descriptor and weighted linear sparse representation. IET Image Processing. 2019, 13(12): 2281-2293.

8Mengmeng Liao, Changzhi Wang, Xiaodong Gu*. Algorithm using supervised subspace learning and non-local representation for pose variation recognition. IET Computer Vison. 2020, 14(7):528-537.

9Mengmeng Liao, Xiaodong Gu*. Hybrid classification approach using extreme learning machine and sparse representation classifier with adaptive threshold. IET Signal Processing. 2018, 12(7): 811-818.

10Mengmeng Liao, Xiaodong Gu*. Face recognition using feature coding and nonlocal constraint-based sparse representation classifier. Journal of Electronic Imaging. 2018, 27(5):053050:1-17.

11Yan Na*, Mengmeng Liao. Super-speed up robust features image geometrical registration algorithm. IET Image Processing. 2016, 10(11): 848-864.

12Wangkui Jiang, Yan Li*, Mengmeng Liao, Shafei Wang. An improved LPI radar waveform recognition framework with LDC-Unet and SSR-loss. IEEE Signal Processing Letters. 2022, 29:149-153.

13Xiaojin Fan, Mengmeng Liao*, Lei Chen, Jingjing Hu. Few-Shot learning for multi-pose face recognition via hypergraph de-deflection and multi-task collaborative optimization. Electronics. 2023,12(10):2248.

14Mengmeng Liao, Xiaodong Gu*. Face recognition using improved extended sparse representation classifier and feature descriptor. Lecture Notes in Computer Science, 2019, 10956:306-318.

15Mengmeng Liao, Yunjie Li*, Meiguo Gao. Feature coding method based on shared weights support vector data description for face recognition. Journal of Physics, 2021, 195:012029:1-6.

16Mengmeng Liao, Xiaodong Gu*. A new supervised image classification using data set partition. In Proc. of International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, pp. 1586-1591, 2018.

17Mengmeng Liao*, Yunjie Li. Pose face recognition based on supervised subspace learning. In Proc. of IEEE the 8th International Conference on Computer and Communication, pp. 1768-1772, 2022.

18Mengmeng Liao*, Xiaojin Fan, Yan Li. Subspace learning based on label release and low-rank representation for small sample face recognition. In Proc. of the 10th International Conference on Information Technology: IoT and Smart City, pp. 127-132, 2022.

▪ 获奖

ICIT2022最佳论文奖2022)、国家博士后创新人才支持计划(2020)、全国大学生数学竞赛三等奖(2010)。

▪ 知识产权

1、廖萌萌,李云杰,高梅国.一种用于人脸识别的样本分类的方法及装置[P].中国专利:CN202210484664.4, 2022.

2、朱梦韬,张紫薇,李云杰,廖萌萌.一种基于Transformer的认知雷达联合调制识别与参数估计方法[P].中国专利:CN202310246346.9, 2023.

科研项目

1、国家博士后创新人才支持计划项目:涉及姿态变化的小样本人脸识别研究,2020.06-2022.06,主持;

2国家自然科学基金青年项目:基于标签离散分布学习与协同寻优的小样本姿态人脸识别方法研究,2024.01-2026.12,主持;

3、中国博士后面上基金项目:基于超图去偏转与多任务协同优化的小样本姿态人脸识别方法研究,2021.12-2023.04,主持;



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