研究方向
1. 生物特征识别/图像处理/计算机视觉；
2. 多模态生物特征识别理论及相关应用研究；
3. 多视图学习算法及应用研究；
4. 稀疏表示、子空间学习理论及算法等相关研究。
个人简介
李树一，2022年7月毕业于澳门大学科技学院，获得哲学博士学位。主要研究领域为掌纹/掌静脉/指静脉识别、图像处理、计算机视觉、多模态识别及多视图学习。在国际知名期刊和会议上共发表学术论文20余篇，其中近五年来以第一作者身份在中科院SCI一区（顶刊）Transactions on Information Forensics and Security、Transactions on Multimedia、Pattern Recognition、Information Science等著名期刊上发表论文6篇。获得授权国家发明专利3项，参与国家自然科学基金和澳门科学基金等项目3项。
教育简历
2019年9月-2022年7月 澳门大学 计算机科学 博士
工作履历
2022年9月-至今 北京工业大学 新浦京澳门棋牌平台
学术兼职
1. 中国图象图形学学会 CSIG会员
2. 中国自动化学会 会员
3. 北京市图象图形学学会 BSIG会员
4. 担任多个国际著名期刊审稿人，包括Transactions on Cybernetics、Transactions on Neural Networks and Learning Systems、Signal Processing、The Visual Computer等。
课程教学
本科生教学：《计算机视觉》、《智能信息处理综合实践》
研究生教学：《模式识别》
科研项目
国家自然科学基金青年基金项目（61806208），项目骨干，结题
荣誉和获奖
1. 第十七届生物特征识别大会(CCBR2022)“最佳学生论文”
2. 澳门大学博士全额奖学金
3. 硕士研究生国家奖学金
4. 第十三届生物特征识别大会(CCBR2018)“最佳学生论文”
代表性研究成果
[1]Shuyi Li, Hengmin Zhang, Ruijun Ma, Jie Wen, Bob Zhang. Linear Discriminant Analysis with Generalized Kernel Constraint for Robust Image Classification [J]. Pattern Recognition, 136, 109196, 2023. (中科院一区, JCR Q1) (CCF-B类期刊)
[2]Shuyi Li, Ruijun Ma, Lunke Fei, Bob Zhang. Learning Compact Multi-representation Feature Descriptor for Finger-Vein Recognition [J]. IEEE Transactions on Information Forensics and Security, 17, 1946-1958, 2022. (中科院一区, JCR Q1) (CCF-A类期刊)
[3]Shuyi Li and Bob Zhang. Joint Discriminative Sparse Coding for Robust Hand-Based Multimodal Recognition [J]. IEEE Transactions on Information Forensics and Security, 16, 3186-3198, 2021. (中科院一区, JCR Q1) (CCF-A类期刊)
[4]Shuyi Li, Bob Zhang, Lunke Fei, Shuping Zhao, and Yicong Zhou. Learning Sparse and Discriminative Multimodal Feature Codes for Finger Recognition [J]. IEEE Transactions on Multimedia, doi: 10.1109/TMM.2021.3132166, 2021. (中科院一区, JCR Q1) (CCF-B类期刊)
[5]Shuyi Li, Bob Zhang, Lunke Fei, and Shuping Zhao. Joint Discriminative Feature Learning for Multimodal Finger Recognition [J]. Pattern Recognition, 111, 107704, 2021. (中科院一区, JCR Q1) (CCF-B类期刊)
[6]Shuyi Li, Bob Zhang, Shuping Zhao, and Jinfeng Yang. Local Discriminant Coding based Convolutional Feature Representation for Multimodal Finger Recognition [J]. Information Sciences, 547, 1170-1181, 2021. (中科院一区, JCR Q1) (CCF-B类期刊)
[7]Ruijun Ma, Shuyi Li, Bob Zhang, Haifeng Hu. Meta PID Attention Network for Flexible and Efficient Real-world Noisy Image Denoising [J]. IEEE Transactions on Image Processing, 31, 2053-2066, 2022. (中科院一区, JCR Q1) (CCF-A类期刊)
[8]Ruijun Ma, Shuyi Li, and Bob Zhang. Towards Fast and Robust Real Image Denoising with Attentive Neural Network and PID Controller [J]. IEEE Transactions on Multimedia, doi: 10.1109/TMM.2021.3079697. (中科院一区, JCR Q1) (CCF-B类期刊)
[9]Ruijun Ma, Shuyi Li, Bob Zhang, Zhengming Li. Flexible and Generalized Real Photograph Denoising Exploiting Dual Meta Attention [J]. IEEE Transactions on Cybernetics, accepted, 2022. (中科院一区, JCR Q1) (CCF-A类期刊)
[10]Shuyi Li, Bob Zhang. An Adaptive Discriminant and Sparsity Feature Descriptor for Finger Vein Recognition [C]. IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2021, pp. 2140-2144. (CCF-B类会议)
[11]Shuyi Li, Ruijun Ma, Jianhang Zhou, Bob Zhang. Row-sparsity Binary Feature Learning for Open-set Palmprint Recognition [C]. International Joint Conference on Biometrics (IJCB2022), 2022, pp. 1-6. (CCF-C类会议)
[12]Shuyi Li, Haigang Zhang, Guimin Jia, Jinfeng Yang. Finger Vein Recognition Based on Weighted Graph Structural Feature Encoding [C]. Chinese Conference on Biometric Recognition (CCBR), 10996, 2018, pp. 29-37. Springer, Cham. (Best Student Paper, Oral)
[13]Shuyi Li, Haigang Zhang, Jinfeng Yang. Finger Vein Recognition based on Local Graph Structural Coding and CNN [C]. Tenth International Conference on Graphics and Image Processing (ICGIP), 110693, 2019. (Oral)
[14]Ruijun Ma, Shuyi Li, Bob Zhang, Zhengming Li. Generative Adaptive Convolutions for Real-world Noisy Image Denoising [C]. 36th AAAI Conference on Artificial Intelligence, Vancouver, BC, Canada, 2022, accepted. (CCF-A类会议)
[15]Shuping Zhao, Bob Zhang, and Shuyi Li. Discriminant and Sparsity Based Least Squares Regression with l1 Regularization for Feature Representation [C]. IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2020, pp. 1504-1508. (CCF-B类会议)
