杜杰，博士，助理教授。深圳市海外高层次（C类）人才。2019年4月于澳门大学获得电脑科学博士学位，2019年7月至今在深圳大学医学部生物医学工程学院任助理教授。主要从事机器学习、医学图像处理、计算机视觉等领域的研究。相关研究成果发表于人工智能领域国际顶级期刊IEEE Transactions on Neural Networks and Learning Systems，IEEE Transactions on Cybernetics，Neural Networks等。受邀担任IEEE Transactions on Neural Networks and Learning Systems，Neurocomputing等多个期刊审稿人。

(1) 机器学习算法（类别不平衡学习、多标签数据分类、在线学习等）

(2) 医学图像处理（分类、分割、检测、图像描述等）

(1) Jie Du, and 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, CCF-B, IF 11.079)

(2) 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, in press, 2020, DOI: 10.1109/TCYB.2020.2969705. (Top期刊, 中科院1区, CCF-B, IF 11.079)

(3) Jie Du, Chi-Man Vong*, Chi-Man Pun, Pak-Kin Wong, and Weng-Fai Ip, Post-Boosting of Classification Boundary for Imbalanced Data Using Geometric Mean, Neural Networks, 2017, 96: 101-114. (Top期刊, 中科院1区, CCF-B, IF 7.197)

(4) Chi-Man Vong, and Jie Du*, Accurate and Efficient Sequential Ensemble Learning for Highly Imbalanced Multi-class Data, Neural Networks, 2020, 128: 268-278. (Top期刊, 中科院1区, CCF-B, IF 5.535)

(5) Chi-Man Vong*, Jie Du, Chi-Man Wong, and Jiu-Wen Cao, Postboosting Using Extended G-Mean for Online Sequential Multiclass Imbalance Learning, IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(12): 6163-6177. (Top期刊, 中科院1区, CCF-B, IF 11.683)

*表示通讯作者