李笑岚，博士，浙江工商大学副教授，硕士生导师，CCF会员。毕业于北京大学信号与信息处理专业，曾任美国国家标准与技术研究院（National Institute of Standard and Technology）高级访问学者、韩国巴斯德研究所（Institut Pasteur Korea）博士后。主要研究方向为图像理解、模式识别、三维建模与检索、深度神经网络等。围绕三维形状描述与检索、跨模态表征与鲁棒建模等问题，申请人早期与NIST合作提出基于词袋模型及空间增强的三维形状检索方法与局部几何描述驱动的三维部件识别，推动了三维形状视觉词典、区域化直方图与多视几何融合在检索与重建中的应用，并参与构建三维对象检索基准与评测实践，相关成果在国际上产生了持续影响。在 IEEE Transactions on Industrial Informatics (TII)、IEEE Transactions on Intelligent Transportation Systems (TITS)、EURASIP Journal on Advances in Signal Processing 等国际知名期刊，ISVC (International Symposium on Visual Computing) 等国际重要会议，以及 《中国图象图形学报》 等国内权威期刊发表论文二十余篇，在三维建模、图像理解、模式识别与深度学习方向形成了系统积累和代表性成果。近年来，申请人将小样本和弱监督与三维语义建模相结合，面向复杂场景的目标检测、重建与检索开展研究，主持和参与多项国家自然科学基金、省重点研发计划及省基金项目，形成“算法—数据—评测—应用”一体化能力，取得了持续稳定的科研产出。总体而言，申请人既有三维视觉与检索的国际合作与学术影响力，又在深度学习与工业视觉方向具备坚实的研究基础和突出的科研组织攻关能力。

Xiaolan Li received her bachelor and master degree in computational mathematics from Xiangtan University in 1998 and 2001, respectively, and Ph.D. degree in signal processing from Peking University in 2006. Thenshe conducted as a postdoctoral research fellow (2007~2009) in computer vision from National Institute of Standard and Technology, Maryland, USA, and another one (2009~2012) in new drug discovery from Institute Pasteur Korea, Seoul, South Korea.

She is currently an associate professor of Computer Science and Technology in the school of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou, China. Her current interests include pattern recognition, image understanding, image processing, 3D modeling, etc.

（1）国家省部级项目

项目联合体合作单位在大数据、人工智能、智能数据分析与处理等项目相关领域做了大量的研究工作，承担和参与了国家、省部级包括国家重点研发项目、国家科技支撑计划、国家科技部重点研发计划、浙江省重大科技专项、国家自然科学基金、浙江省杰出青年自然科学基金等项目数十项（下表列出主要相关20项）。  

（2）国家、省部级项目情况

代表性论著

成员单位及项目主要成员在相关领域，如图像处理与分析、人工智能、模式识别、数据安全等以第一或通讯作者发表了众多相关学术论文，其中著名学术期刊和国际学术会议上发表的SCI、EI（包括ESI高被引）等代表性论著如下（30篇）：

[1] Kim T-H, Choi D-H, Vauthier V,Julie Dam, Xiaolan Li, et al. Anti-Obesity Phenotypic Screening Looking to Increase OBR Cell Surface Expression. Journal of Biomolecular Screening. 2013;19(1):88-99. doi:10.1177/1087057113499185

[2] 3D Part ldentification Based on Local Shape Descriptors, Xiaolan Li,  Afzal Godil, Asim Wagan, PerMIS Digest 2008, August 19-21, 2008, Gaithersburg, MD, USA.

[3] Identifying Objects in Range Data Based on Similarity Transformation Invariant Shape Signatures, Xiaolan Li,  Afzal Godil, Asim Wagan, PerMIS Digest 2008, August 19-21, 2008, Gaithersburg, MD, USA.

[4] Visual based 3D CAD retrieval using Fourier Mellin Transform, Xiaolan Li,  Afzal Godil, Asim Wagan, 2008 IEEE International Conference on Shape Modeling and Applications, Date of Conference: 04-06 June 2008,  DOI: 10.1109/SMI.2008.4547984

[5] Local 2D Visual Features for CAD Model Retrieval, Transform, Xiaolan Li,  Afzal Godil, Asim Wagan, 2008 IEEE International Conference on Shape Modeling and Applications, Date of Conference: 04-06 June 2008,  DOI: 10.1109/SMI.2008.4547984

[6] 3D shape searching using object partitioning, Asim Wagan, Afzal Godil, Xiaolan Li,  2008 IEEE International Conference on Shape Modeling and Applications, Date of Conference: 04-06 June 2008,  DOI: 10.1109/SMI.2008.4547984

[7] A New Shape Benchmark for 3D Object Retrieval, Lecture Notes in Computer Science, 2008, Vol. 5358, 381-392, Springer Publication，Rui Fang、Afzal Godil、Xiaolan Li.  

[8] 3D Shape Searching using Object Partitioning，2008, Proceedings of IEEE International Conference on Shape Modeling and Applications。

[9] Spatially Enhanced Bags of Words for 3D Shape Retrieval，Lecture Notes in Computer Science, 2008, ,349-358

[10] Investigating the Bag - of - Words Method for 3D Shape Retrieval，2010, EURASIP Journal on Advances in Signal Processing。

[11] Exploring the Bag -of-Words method for 3D shape retrieval，Proceedings of 2009 16th IEEE International Conference on Image Processing, ICIP2009。

[12] Bio - imaging Toolkit for Indexing, Searching, Navigation, Discovery and Annotation  ，Afzal Godil、Benny Cheung、Asim Wagan, Xiaolan Li,ISVC 2008, Part II, LNCS 5359, pp. 915–923, 2008.

[13] 消除纹理接缝的 2D－3D 纹理映射，北京大学学报自然科学版，2006, 42(5):  674-680.， 李笑岚、查红彬。

[14] 《重建发型的真实感头部建模》一文，发表于《计算机辅助设计与图形学学报》2006 年第 18 卷第 8 期，页码为 1154-1158，李笑岚、查红彬。

[15] Li, X. ,  Feng, J. , &  Zha, H. . (2008). 3D modelling of geological fossils and ores by combining high-resolution textures with 3D scanning data.Conference on Virtual Systems and Multimedia (VSMM'04), Montreal, Canada.  

[16] Huiyan Wang, Ming Ying, Huan Jiang, Qiufang Shen, Fashuai, Li, Xiaolan Li, Clothes-changing person re-identification using color and texture invariant representation, IEEE Trans. on Intelligent Transportation Systems, 2025, 26(1): 323-336. (中科院一区，TOP，影响因子8.4)

[17] Huiyan Wang, Yixiang Yan, Jing Hua, Yutao Yang, Xun Wang, XiaoLan Li, John Robert Deller, GuofengZhang, Hujun Bao, Pedestrian recognition in multi-camera networks using multilevel important salient feature and multicategory incremental learning, Pattern Recognition, 2017, 67(2017): 340-352. (中科院一区，TOP，影响因子8.0)

[18] Huiyan Wang, Xun Wang, Jia Zheng, John R. Deller, Haoyu Peng, Leqing Zhu, Weigang Chen, Xiaolan Li, Riji Liu, Hujun Bao, Video Object Matching Across Multiple Non-overlapping Camera Views Based On Multi-feature Fusion and Incremental Learning. Pattern Recognition, 2014, 47(12): 3841-3851. (中科院一区，TOP，影响因子8.0)

[19] 王慧燕; 杨宇涛; 张政; 严国丽; 王靖齐; 李笑岚; 陈卫刚; 华璟, 深度学习辅助的多行人跟踪算法, 中国图象图形学报, 2016.3.1, 22(3)：349-357.

[20] MFF-SDD: A Bidirectional Guidance and Multiscale Multimodal Fusion Model for Small Defect Detection in Industrial Films, IEEE Transactions on Industrial Informatics, 10.1109/TII.2025.3606880, Sep 25 2025