杜杰，女，副教授，特聘研究员，硕士生导师、博士生导师。2019年4月获得澳门大学计算机科学博士学位，2019年7月入职深圳大学从事教学科研工作。研究方向为医学图像处理与机器学习，专注于联邦多中心学习、持续学习、弱监督分割等复杂任务。截至目前，已发表期刊/会议论文30余篇，包括在IEEE Transactions on Cybernetics，IEEE Transactions on Neural Networks and Learning Systems等中科院一区Top期刊收录论文约20篇。主持国家自然科学基金面上项目、青年项目、广东省基础与应用基础基金面上项目、广东省教育厅-青年创新人才类项目、深圳市基础研究面上项目等9项科研项目。担任IEEE TIP/TNNLS/TCYB/TII/TMI/J.BHI/TETCI等十余个国际知名期刊的审稿人。

1.医学图像处理（医学图像全监督/半监督/弱监督分割、动态多源异构数据学习等）

2.机器学习算法（联邦学习、持续学习、不平衡学习等）

1.国家自然科学基金面上项目，2025.01~2028.12，主持

2.国家自然科学基金青年项目，2021.01~2023.12，主持

3.广东省基础与应用基础研究面上项目，2025.01~2027.12，主持

4.广东省教育厅青年创新人才类项目，2021.01~2023.12，主持

5.深圳市基础研究面上项目，2024.11~2027.10，主持

[1]Jie Du, Peng Liu, et al., Class-Incremental Learning Method withFastUpdate and High Retainability based on Broad Learning System.IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(8): 11332-11345.(Top期刊,中科院1区, IF 10.2)

[2]Jie Du, Xiaoci Zhang, et al., An Adaptive Deep Metric Learning Loss Function for Class-Imbalance Learning via Intraclass Diversity and Interclass Distillation.IEEE Transactions on NeuralNetworksand Learning Systems, 2024, 35(11): 15372-15386.(Top期刊,中科院1区, IF 10.2)

[3]Jie Du, Chi-Man Vong, and C. L. Philip Chen, Novel Efficient RNN and LSTM-Like Architectures: Recurrent and Gated Broad Learning Systems and Their Applications for Text Classification.IEEE Transactions on Cybernetics, 2021, 51(3):1586-1597.(ESI高被引, Top期刊,中科院1区, IF 19.118)

[4]Jie Du, Yanhong Zhou, et al., Parameter-Free Loss for Class-Imbalanced Deep Learning in ImageClassification.IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(6): 3234-3240.(Top期刊,中科院1区, IF 10.2)

[5]Jie Duand Chi-Man Vong, Robust Online Multilabel Learning Under Dynamic Changes in Data Distribution With Labels.IEEE Transactions on Cybernetics, 2020, 50(1): 374-385.(Top期刊,中科院1区, IF 11.448)

[6]Jie Du, Wei Li,et al., Federated Learning using Model Projection for Multi-Center Disease Diagnosis with Non-IID Data,Neural Networks, 2024, 178: 106409.(Top期刊,中科院1区, IF 6.0)

[7]Jie Du, Kai Guan, et al., Boundary-Sensitive Loss Function With Location Constraint for Hard Region Segmentation.IEEE Journal of Biomedical and Health Informatics, 2023, 27(2): 992-1003.(Top期刊,中科院1区,IF 6.7)

[8]Jie Du, Xiaoci Zhang, et al., Coarse-Refined Consistency Learning Using Pixel-Level Features for Semi-Supervised Medical Image Segmentation.IEEE Journal of Biomedical and Health Informatics, 2023, 27(8): 3970-3981.(Top期刊,中科院1区, IF 6.7)

[9]Peng Liu,Jie Du*, Chi-Man Vong*. A Novel Sequential Structure for Lightweight Multi-scale Feature Learning under Limited Available Images.Neural Networks,2023, 164: 124-134.(Top期刊,中科院1区, IF 6.0 )

[10]Yuchao Su#,Jie Du#, et al., Trajectory ForecastingBasedon Prior-Aware Directed Graph Convolutional Neural Network.IEEE Transactions on Intelligent Transportation Systems, 2022, 23(9): 16773-16785.(Top期刊,中科院1区, IF 8.5)