男，研究员，博士生导师
任职情况：中国科学院大数据挖掘与知识管理重点实验室常务副主任
研究方向：最优化与数据挖掘，大数据，智能知识管理，支持向量机，机器学习
工作经历：
2012.6至今 中国科学院大学, 中国科学院虚拟经济与数据科学研究中心，研究员；
2006.6–2012.6中国科学院大学, 中国科学院虚拟经济与数据科学研究中心，副研究员；
2005.6–2006.6中国科学院大学, 中国科学院虚拟经济与数据科学研究中心，助理研究员；
1997.4–2002.9中国人民解放军总参某研究所，助理研究员
教育经历：
2002.9–2005.6 中国农业大学，经济管理学院，管理学博士；
1994.9–1997.4 北京理工大学，应用数学系， 理学硕士；
1990.9–1994.7 山东师范大学，数学系， 理学学士；
获奖情况：
2010 北京市科技进步三等奖, 多目标规划数据挖掘理论、方法及在重要行业中的应用, 排名3, 编号: 2010 基-3-004-03.
2011 北京市科技进步二等奖, 最优化信用评分体系与应用, 排名3, 编号: 2011 计-2-002-03.
2009 四川省科技进步二等奖,基于数据科学的业银行信用评分理论与系统研究, 排名6, 编号: 2009-2-0346.
近5年发表的文章：
专著
[1] Naiyang Deng, Yingjie Tian, and Chunhua Zhang, Support vector machines: optimization based theory, algorithms, and extensions. CRC Press, 2012. ISBN 978-1-4398-5792-2, pp. 1-335 (2012)
[2] Yong Shi, Yingjie Tian, Gang Kou, Yi Peng, and Jianping Li, Optimization Based Data Mining: Theory and Applications. Springer, ISBN 978-0-85729-503-3, pp. 1-316 (2011)
[3] Yong Shi, Lingling Zhang, Yingjie Tian, and Xingsen Li, Intelligent Knowledge—A study beyond Data Mining. Springer, ISBN 978-3-662-46192-1, pp. 1-150 (2014)
期刊
[1] Yingjie Tian, Zhiquan Qi, Xuchan Ju, Yong Shi, Xiaohui Liu: Nonparallel Support Vector Machines for Pattern Classification. IEEE Transaction on Cybernetics 44(7): 1067-1079 (2014)
[2] Yingjie Tian, and Ping Yuan, Large-scale linear nonparallel support vector machine solver. Neural Networks, 50: 166-174 (2014).
[3] Yingjie Tian, Xuchan Ju, Zhiquan Qi,Yong Shi, Improved Twin Support Vector Machine. Science in China Series A: Mathematics, 57(2): 417-432 (2014).
[4] Yingjie Tian, Zhiquan Qi, Review on: Twin Support Vector Machines, Annals of Data Science, 1(2):253–277(2014).
[5] Yingjie Tian, Qin Zhang, Yuan Ping: Large-scale linear nonparallel support vector machine solver. Neurocomputing 138: 114-119 (2014)
[6] Yingjie Tian, Xuchan Ju, Zhiquan Qi: Efficient sparse nonparallel support vector machines for classification. Neural Computing and Applications 24(5): 1089-1099 (2014)
[7] Yingjie Tian, Xuchan Ju, Zhiquan Qi, Yong Shi: Efficient sparse least squares support vector machines for pattern classification. Computers & Mathematics with Applications 66(10): 1935-1947 (2013)
[8] Yingjie Tian, Qin Zhang, Dalian Liu, v-Nonparallel support vector machine for pattern classification, Neural Computing and Applications, 25: 1007-1020(2014).
[9] Yingjie Tian, Yong Shi, and Xiaohui Liu, Recent advances on support vector machines research. Technological and Economic Development of Economy , 18(1): 5-33 (2012).
[10] Zhiquan Qi, Yingjie Tian*, Yong Shi: Robust twin support vector machine for pattern classification. Pattern Recognition 46(1): 305-316 (2013)
[11] Zhiquan Qi, Yingjie Tian*, Yong Shi, Successive Overrelaxation for Laplacian Support Vector Machine. IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2014.2320738 (2014).
[12] Zhiquan Qi , Yingjie Tian*, and Yong Shi, A nonparallel support vector machine for a classification problem with universum learning, Journal of Computational and Applied Mathematics, 263: 288-298 (2014).
[13] Zhiquan Qi , Yingjie Tian*, and Yong. Shi, A new classification model using privileged information and its application, Neurocomputing, 129: 146-152 (2014).
[14] Zhiquan Qi , Yingjie. Tian*, Xiaodan Yu, and Yong Shi, A multi-instance learning algorithm based on nonparallel classifier, Applied Mathematics and Computation, 241: p. 233-241 (2014).
[15] Zhiquan Qi, Yingjie Tian*, Yong Shi: Regularized multiple-criteria linear programming with universum and its application. Neural Computing and Applications 24(3-4): 621-628 (2014)
[16] Dalian Liu, Yingjie Tian*, Rongfang Bie, Yong Shi: Self-Universum support vector machine. Personal and Ubiquitous Computing 18(8): 1813-1819 (2014)
[17] Zhiquan Qi, Yingjie Tian*, Yong Shi: Structural twin support vector machine for classification. Knowledge-Based Systems, 43: 74-81 (2013)
[18] Zhiquan Qi, Yingjie Tian*, Yong Shi: Efficient railway tracks detection and turnouts recognition method using HOG features. Neural Computing and Applications 23(1): 245-254 (2013)
[19] Zhiquan Qi, Yingjie Tian*, Yong Shi: Multi-instance classification based on regularized multiple criteria linear programming. Neural Computing and Applications 23(3-4): 857-863 (2013)
[20] Zhiquan Qi, Yingjie Tian*, Yong Shi: Laplacian twin support vector machine for semi-supervised classification. Neural Networks 35: 46-53 (2012)
[21] Zhiquan Qi, Yingjie Tian*, Yong Shi: Twin support vector machine with Universum data. Neural Networks 36: 112-119 (2012)
[22] Ruoying Chen, Wenjing Chen, Sixiao Yang, Di Wu, Yong Wang, Yingjie Tian*, Yong Shi: Rigorous assessment and integration of the sequence and structure based features to predict hot spots. BMC Bioinformatics 12: 311 (2011)
[23] Dongling Zhang, Yingjie Tian*, Yong Shi: A group of knowledge incorporated multiple criteria linear programming classifiers. Journal. Computational Applied Mathematics 235(13): 3705-3717 (2011)
