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 银河集团9873.cσm
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)