唐静静
系 别：大数据研究院
职 称：教授，博士生导师
邮 箱： tjj@swufe.edu.cn
主讲课程：《机器学习》，《深度学习》，《深度学习专题》
研究方向：机器学习，最优化与数据挖掘。主要研究内容包括多视角学习，不均衡学习，知识蒸馏等。
教育背景：
2013.9-2018.7 中国科学院大学 运筹学与控制论 博士（硕博连读）
2009.9-2013.7 重庆大学 数学与应用数学 学士
个人简介：
唐静静，402永利集团官网教授、博士生导师，“光华英才工程”百人计划学术B类人选。在科研方面，她长期从事人工智能与数据科学，特别是多源异构数据建模与算法研究，并将其用于解决管理学中的重要问题，如信用风险评估、金融欺诈检测等。以第一或通讯作者在IEEE Transactions on Neural Networks and Learning Systems，IEEE Transactions on Knowledge and Data Engineering，Information Fusion等国内外高水平期刊发表学术论文二十余篇，出版学术专著2部。她主持国家自科青年项目1项，中央高校基本科研项目4项，主研国家自科重大项目1项，并参与国家自科、社科项目多项。长期担任机器学习重要期刊（如IEEE Transactions on Knowledge and Data Engineering 等）的审稿人。
论文列表：
[1] Qingqing Yi, Jingjing Tang*, Xiangyu Zhao*, Yujian Zeng, Zengchun Song, and Jia Wu. An Adaptive Entire-space Multi-scenario Multi-task Transfer Learning Model for Recommendations [J]. IEEE Transactions on Knowledge and Data Engineering, 2025, DOI: 10.1109/TKDE.2025.3536334.
[2] Qingqing Yi, Lunwen Wu, Jingjing Tang*, Yujian Zeng and Zengchun Song. Hybrid contrastive multi-scenario learning for multi-task sequential-dependence recommendation[J]. Neural Networks, 2025, 183 (2025): 106953. (SCI, JCR Q2, SWUFE A Journal)
[3] Jingjing Tang, Qingqing Yi, Saiji Fu*, Yingjie Tian. Incomplete multi-view learning: Review, analysis, and prospects[J]. Applied Soft Computing, 2024, 153: 111278. (SCI, JCR Q2, SWUFE A Journal)
[4] Qingqing Yi, Jingjing Tang*, Yujian Zeng, Xueting Zhang, Weiqi Xu. DMMP: A distillation-based multi-task multi-tower learning model for personalized recommendation [J]. Knowledge-Based Systems, 2024, 284(2024):111236.(SCI, JCR Q2, SWUFE A Journal)
[5] Zhaojie Hou, Jingjing Tang*, Yan Li, Saiji Fu and Yingjie Tian. MVQS: Robust multi-view instance-level cost-sensitive learning method for imbalanced data classification[J]. Information Sciences, 675(2024)：120467. (SCI, JCR Q1, SWUFE A Journal)
[6] Jingjing Tang, Bangxin Liu, Saiji Fu*, Yingjie Tian and Gang Kou. Advancing robust regression: Addressing asymmetric noise with the BLINEX loss function[J]. Information Fusion, 2024, 110(2024): 102463. (SCI, JCR Q1, SWUFE A Journal)
[7] Jingjing Tang, Yan Li, Zhaojie Hou, Saiji Fu and Yingjie Tian*. Robust two-stage instance-level cost-sensitive learning method for class imbalance problem[J]. Knowledge-Based Systems, 2024, 300(2024): 112143. (SCI, JCR Q1, SWUFE A Journal)
[8] Jingjing Tang, Zhaojie Hou, Xiaotong Yu, Saiji Fu* and Yingjie Tian. Multi-view cost-sensitive kernel learning for imbalanced classification problem[J]. Neurocomputing, 2023, 552(2023): 126562. (SCI, JCR Q2, SWUFE A Journal)
[9] Jingjing Tang, Hao He, Saiji Fu, Yingjie Tian*, Gang Kou and Shan Xu. Robust multi-view learning with the bounded LINEX loss [J]. Neurocomputing, 2023, 518(2023): 384–400. (SCI, JCR Q2, SWUFE A Journal)
[10] Jingjing Tang, Dewei Li, Yingjie Tian*. Image classification with multi-view multi-instance metric learning [J]. Expert Systems With Applications, 2022, 189(2022): 116117. (SCI, JCR Q2, SWUFE B Journal)
[11] 唐静静, 李佳辉, 田英杰. 基于一致互补性的多视角最小二乘支持向量机[J]. 系统工程理论与实践, 2022, 42(9): 2461-2471.
[12] Jingjing Tang, Jiahui Li, Weiqi Xu, Yingjie Tian*, Xuchan Ju, Jie Zhang. Robust cost-sensitive kernel method with Blinex loss and its applications in credit risk evaluation [J]. Neural Networks, 2021, 143(2021): 327-344. (SCI, JCR Q2, SWUFE A Journal)
[13] Jingjing Tang, Weiqi Xu, Jiahui Li, Yingjie Tian*, Shan Xu. Multi-view learning methods with the LINEX loss for pattern classification [J]. Knowledge-Based Systems, 2021, 228(2021):107285. (SCI, JCR Q2, SWUFE A Journal)
[14] Jingjing Tang, Yiwei He, Yingjie Tian*, Dalian Liu*, Gang Kou and Fawaz E. Alsaadi. Coupling loss and self-used privileged information guided multi-view transfer learning [J]. Information Sciences, 2021, 551(2021): 245–269. (SCI, JCR Q2, SWUFE A Journal)
[15] Yingjie Tian, Saiji Fu, Jingjing Tang*. Incomplete-View Oriented Kernel Learning Method with Generalization Error Bound [J]. Information Sciences, 2021, Information Sciences, 2021, 581(2021)：951-977 . (SCI, JCR Q2, SWUFE A Journal)
[16] Jingjing Tang, Yingjie Tian*, Dalian Liu* and Gang Kou. Coupling privileged kernel method for multi-view learning [J]. Information Sciences, 2019, 481(2019): 110–127. (SCI, JCR Q2, SWUFE A Journal)
[17] Jingjing Tang, *Yingjie Tian and Xiaohui Liu. LGND: A new method for Multi-Class Novelty Detection[J]. Neural Computing and Applications, 2019, 31(2019): 3339-3355. (SCI, JCR Q2)
[18] Jingjing Tang, Yingjie Tian*, Xiaohui Liu, Dewei Li, Jia Lv, Gang Kou. Improved multi-view privileged support vector machine [J]. Neural Networks, 2018, 106(2018): 96-109. (SCI, JCR Q2, SWUFE A Journal)
[19] Jingjing Tang, Yingjie Tian*, Peng Zhang and Xiaohui Liu. Multiview privileged support vector machines [J]. IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(8): 3463-3477. (SCI, JCR Q1, SWUFE A Journal)
[20] Jingjing Tang, Dewei Li, Yingjie Tian* and Dalian Liu*. Multi-view learning based on Nonparallel Support Vector Machine [J]. Knowledge-Based Systems, 2018, 158(2018): 94–108. (SCI, JCR Q2, SWUFE A Journal)
[21] 唐静静，田英杰. 基于间隔迁移的多视角支持向量机[J].运筹学学报, 2018, 22(3): 1-14.
[22] Jingjing Tang and Yingjie Tian*. A multi-kernel framework with nonparallel support vector machine [J]. Neurocomputing, 2017, 266(2017): 226–238. (SCI, JCR Q2, SWUFE A Journal)
学术专著：
[1] 田英杰，唐静静. 机器学习与最优化[ M], 科学出版社, 2024年.
[2] 唐静静. 多视角学习理论与算法[ M], 402cc永利官网出版社, 2020年.
科研项目：
国家自然科学基金青年项目（71901179）：“面向多源异构征信大数据的信用评分理论、方法与应用研究”，2020-2022，主持。
中央高校基本科研业务费（JBK2004023）：“多视角学习理论与算法”，2020，主持。
中央高校基本科研业务费（JBK2103007）：“面向多源异构数据的金融欺诈交易风险预警模型研究”，2021，主持。
中央高校基本科研业务费（JBK2304147）：“智慧金融场景下的智能信用风险评估关键技术与应用研究“，2023，主持。
招生要求：
具有较好的数学、计算机编程和英语基础，乐观积极，踏实勤奋，有攻博意愿者优先。
