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刘丽,女,19876月出生,副教授、硕士生导师, 201412月毕业于华东师范大学计算机应用技术专业,获工学博士学位。2016年6月至9月期间在加拿大Concordia University担任研究助理,合作导师为加拿大皇家科学院院士Ching Y. Suen教授。2019年入选“215人才工程”赣江青年学者计划,发表高水平学术论文30余篇,主持以及参与多项国家、省部级科研项目。担任多个SCI期刊审稿人,指导硕士生、本科生获得优秀毕业论文,优秀毕业生等荣誉称号。联系方式:liuli_033@163.com

部分发表论文:

[1] Luo M, Liu L*, Lu Y, et al. Art style classification via self-supervised dual-teacher knowledge distillation [J]. Applied Soft Computing, 2025: 112694.

[2] Liu L, Xiong X, Wan M, et al. Chinese calligraphy character generation with component-level style learning and structure-aware guidance[J]. Applied Soft Computing, 2025: 113159.

[3] Huang J, Liu L*, Lu Y, et al. Enhancing scene text script identification through multi-task self-supervised learning: J. Huang et al[J]. The Visual Computer, 2025: 1-16.

[4] Liu L, Lu Y, Suen C Y. End-to-end learning of representations for instance-level document image retrieval[J]. Applied Soft Computing, 2023: 110136.

[5] 程文炎, 周勇, 陶承英, 刘丽*, . 多损失融合网络的中国书法字体与风格分类[J]. 中国图象图形学报, 2023, 28(8): 2370-2381.

[6] Peng F, Ma H, Liu L*, et al. Adaptive feature fusion for scene text script identification[J]. Multimedia Tools and Applications, 2024: 1-23.

[7] Zhou Y, Ma H, Liu L*, et al. Feature fusion and decomposition: exploring a new way for Chinese calligraphy style classification[J]. The Visual Computer, 2023: 1-12.

[8] Li Z, Liu L*, Qiu T, et al. Modeling Cross-layer Interaction for Chinese Calligraphy Style Classification[C]// Proceedings of International Conference on Document Analysis and Recognition, 2023: 70-84.

[9] 许柏祥, 刘丽*, 邱桃荣. 面向近重复文本图像检索的三分支孪生网络[J]. 智能系统学报, 2022, 17(3): 515-522.

[10] Liu L, Wang Z, Qiu T, et al. Document image classification: Progress over two decades[J]. Neurocomputing, 2021, 453: 223-240.

[11] Liu L, Qiu T, Lu Y, et al. Combination of spatially enhanced bag-of-visual-words model and genuine difference subspace for fake coin detection[J]. Expert Systems with Applications, 2020, 159: 113551.

[12] Liu L, Lu Y, Suen C Y. An image-based approach to detection of fake coins[J]. IEEE Transactions on Information Forensics and Security, 2017, 12(5): 1227-1239.

[13] Yang H, Liu L, Min W, et al. Driver yawning detection based on subtle facial action recognition[J]. IEEE Transactions on Multimedia, 2020, 23: 572-583. (共同第一作者)

[14] Liu L, Lu Y, Suen C Y. Variable-length signature for near-duplicate image matching[J]. IEEE Transactions on Image Processing, 2015, 24(4): 1282-1296.

[15] Liu L, Cheng W, Qiu T, et al. Multi-loss siamese convolutional neural network for Chinese calligraphy style classification[C]//Proceedings of International Conference on Neural Information Processing, 2021: 425-432.

[16] Deng M, Ma H, Liu L*, et al. ScriptNetA two stream CNN for script identification in camera-based document images [C]//Proceedings of International Conference on Neural Information Processing, 2022.

[17] Liu L, Lu Y, Suen C Y. Near-duplicate document image matching: A graphical perspective[J]. Pattern Recognition, 2014, 47(4): 1653-1663.

[18] Liu L, Lu Y, Suen C Y. Novel global and local features for near-duplicate document image matching[C]// Proceedings of International Conference on Pattern Recognition, 2014: 4624-4629.

[19] Liu L, Lu Y, Suen C Y, et al. Modeling Local Word Spatial Configurations for Near Duplicate Document Image Retrieval[C]// Proceedings of International Conference on Document Analysis and Recognition, 2013: 235-239.

[20] Liu L, Lu Y, Suen C Y. Document image matching using probabilistic graphical models[C]//Proceedings of International Conference on Pattern Recognition, 2012: 637-640.

部分科研项目:

2026/01-2029/12, 面向中国书法数字化的自监督风格表示学习与精细解耦研究, 国家自然科学基金项目(62566237),主持

2017/01-2019/12,基于关键点图表示的近重复文本图像匹配研究,国家自然科学基金项目(61603256),主持

2016/01-2016/12,近重复自然场景图像匹配研究,上海理工大学“教师创新能力建设”项目,主持

2015/09-2016/09,基于关键点局部空间关系图的近重复图像匹配,沪江基金,主持



南昌大学数学与计算机学院

School of Mathematics and Computer Sciences, Nanchang University


地址:南昌大学前湖校区理科生命大楼A区四楼

电话:0791-83969506

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