职称/职务:沪江博士后
主要研究领域:类不平衡数据分类,高维特征选择,模糊聚类等
电子邮箱:jun_dou@163.com
办公室:经管大楼B楼910
职称/职务:沪江博士后
主要研究领域:类不平衡数据分类,高维特征选择,模糊聚类等
电子邮箱:jun_dou@163.com
办公室:经管大楼B楼910
教育背景 博士,控制科学与工程,beat365中国官方网站,2019-2023 硕士,系统工程,beat365中国官方网站,2017-2019 工作经历 博士后,beat365中国官方网站,2023-至今 |
科研项目: 1. 中国博士后科学基金,第75批面上资助(No. 2024M752065), 2024/07-2026/06,主持 2. 中国博士后科学基金,国家资助博士后研究人员计划(No.GZC20231678), 2024/01-2025/12,主持 3. 上海市人力资源和社会保障局,上海市“超级博士后”激励计划资助(No. 2023527), 2024/01-2025/12,主持 4. 上海市哲学社会科学基金,2025/01-2026/12,主持 5. beat365中国官方网站优秀博士研究生“激励计划”,2022/01-2023/06,主持 期刊论文: 1.Jun Dou, Guoliang Wei, Yan Song, Dihao Zhou, Ming Li. Switching triple-weight-SMOTE in empirical feature space for imbalanced and incomplete data. IEEE Transactions on Automation Science and Engineering, vol. 21, no. 2, pp. 1850-1866, 2024. 2. Jun Dou, Yan Song, Guoliang Wei*, Xinchen Guo, A robust ensemble classifier for imbalanced data via adaptive variety oversampling and embedded sampling rate, Applied Soft Computing, Accepted. 3. Jun Dou, Yan Song, Guoliang Wei, Yameng Zhang. Fuzzy information decomposition incorporated and weighted Relief-F feature selection: When imbalanced data meet incompletion. Information Sciences, 584: 417-432, 2022. 4. Jun Dou, Zihan Gao, Guoliang Wei, Yan Song, Ming Li. Switching synthesizing-incorporated and cluster-based synthetic oversampling. Engineering Applications of Artificial Intelligence, 2023,123:106193. 5. Jun Dou, Yan Song*, An improved generative adversarial network with feature filtering for imbalanced data, International Journal of Network Dynamics and Intelligence, vol. 2, no. 4, pp. 100017, 2023. 6. Guoliang Wei, Weimeng Mu, Yan Song, Jun Dou. An improved random SMOTE method for imbalanced data. Knowledge-Based Systems, vol. 248, no. 108839, 2022. 7.Mengxing Chen, Jun Dou, Yali Fan, Yan Song. Robust semi-supervised classification for imbalanced and incomplete data. Journal of Intelligent & Fuzzy Systems, vol. 45, no. 2, pp. 2781-2797, 2023. 8.窦军,姚俭,企业利润分配改革的系统动力学研究[J].beat365中国官方网站学报,2019,41(06):591-598. 9.穆伟蒙,宋燕,窦军,基于密度峰值聚类算法的自适应加权过采样算法[J].智能计算机与应用, vol. 12, no. 6, pp. 46-53, 2022. 10.陶家亮,魏国亮,宋燕,窦军,穆伟蒙.基于梯度惩罚生成对抗网络的过采样算法[J].beat365中国官方网站学报, vol. 45, no. 3, pp. 235-243, 2023. |
1.美国电气电子工程师学会IEEE会员 2.中国计算机学会CCF会员 3.CCF计算机应用专委会执行委员 4.上海市自动化学会青工委委员 5.2024信息处理与智能感知高峰论坛委员 6.担任IEEE Transactions on Industrial Informatics, IEEE Transactions on Automation Science and Engineering,IEEE/CAA Journal of Automatica Sinica,Information Sciences, Expert Systems with Applications, Knowledge-Based Systems, Engineering Applications of Artificial Intelligence, Neurocomputing, Journal of Intelligent & Fuzzy Systems, International Journal of Network Dynamics and Intelligence等期刊审稿人。 |
1.上海市“超级博士后” 2.上海市理工大学优秀博士激励计划 3.beat365中国官方网站“优秀共产党员” |