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唐静静
发布时间: 2019-06-19

  唐静静

职  称:教授,博士生导师

系  别:大数据研究院

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,迁移学习,不均衡学习,深度学习等。

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,2018年9月入职西南财经大学工商管理学院大数据研究院,现为教授、博士生导师。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。以第一作者身份在IEEE Transactions on Neural Networks and Learning Systems,Information Sciences,Knowledge-Based Systems等国内外高水平期刊发表学术论文十余篇,出版个人专著1部,同时与中科院等高校的学术团队保持着良好的合作关系。她主持国家自科青年项目1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。另外受邀担任Knowledge-Based Systems等期刊匿名审稿人。



研究成果:

期刊论文:

[1] 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 Q1, SWUFE A Journal)

[2] 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)

[3] 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 Q1, SWUFE A Journal)

[4] 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 Q1, SWUFE A Journal)

[5] 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 Q1, SWUFE B Journal)

[6] 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 Q1, SWUFE A Journal)

[7] 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)

[8] 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)

[9] 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)

[10] 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 Q1, SWUFE A Journal)

[11] 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)

[12] 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, 2021, DOI: 10.12011/SETP2021-0170.

[13]  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, 2018.


会议论文:

[1] Jingjing Tang, *Yingjie Tian and Dalian Liu. “Connected bit minwise hashing for large-scale linear SVM”[C]//2015 IEEE 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2015: 995-1002.

[2] Jingjing Tang and *Yingjie Tian. “f-Fractional Bit Minwise Hashing for Large-Scale Learning” [C]//2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). IEEE, 2015, 3: 60-63.

[3] Jingjing Tang and Dewei Li. “Incorporate Hashing with Multi-view Learning”[C]// 2016 IEEE 16th International Conference on Data Mining (ICDM). IEEE, 2016: 853-859.

[4] Jingjing Tang, *Yingjie Tian, Guoqiang Wu and Dewei Li. “Stochastic Gradient Descent for Large-scale Linear Nonparallel SVM” [C]//2017 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). IEEE, 2017: 980-983.

[5] Jingjing Tang, *Yingjie Tian and Dalian Liu. “Large-Scale Linear NPSVM via One Permutation Hashing” [C]//2018 IEEE International Joint Conference on Neural Networks(IJCNN). IEEE, 2018:1-8.

学术专著:

唐静静. 多视角学习理论与算法[ M], 西南财经大学出版社, 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,2020.01-2022.12,主持。

国家自然科学基金重大项目,71991472,时空数据建模和预测研究, 2020.01-2024.12,参与。