070105-运筹学与控制论
070104-应用数学

最优化与数据挖掘，
智能知识管理

2009年获四川省科技进步奖二等奖

1. Zhang ChunHua, Tian Yingjie, Deng Naiyang. The new interpretation of support vector machines on statistical learning theory. 中国科学A辑:数学(英文版), 53(1), pp 151-164, 2010/1/1.(SCI)
2. SHI Yong, TIAN YingJie, CHEN XiaoJun, ZHANG P. Regularized multiple criteria linear programs for classification. 中国科学F辑:信息科学(英文版), 52(10), pp 1812-1820, 2009/10/5. .(SCI)
3. Xiaojian Shao, Yingjie Tian, Lingyun Wu, et,al. Predicting DNA- and RNA-binding proteins from sequences with kernel methods. Journal of Theoretical Biology, 258(2), pp 289-293, 2009/5/21. .(SCI)
4. Zhixia Yang, Yingjie Tian, Naiyang Deng. Leave-one-out bounds for support vector ordinal regression machine. Neural Comput & Apple,, 18(7), pp 731-748, 2008/11/28. .(SCI)
5. Peng Zhang, Yingjie Tian, Zhiwang Zhang, Xingsen Li, Yong Shi. Supportive Instances for Regularized Multiple Criteria Linear Programming Classification. International Journal of Operations and Quantitative Management, 14(4), pp 249-263, 2008/12/1.
6. Dongling Zhang, Yingjie Tian , Yong Shi. A group of Knowledge-incorporated Multiple Criteria Linear Programming Classifier. Journal of Computational and Applied Mathematics. 2011 doi: /10.1016/j.cam.2011.01.014. (SCI)
7. Xiaofei Zhou, Wenhan Jiang, Yong Shi, Yingjie Tian. Credit Risk Evaluation with Kernel-based Affine Subspace Nearest Point Learning Method, Expert Systems With Applications, 2010. (SCI)
8. Xiaobo Wang, Yongcui Wang, Yingjie Tian, Xiaojian Shao, Lingyun Wu, Naiyang Deng. Prediction of Posttranslational Modification Sites fromSequences with Kernel Methods. Journal of Comput Chem, 2010.Article first published online: 21 APR 2010, DOI: 10.1002/jcc.21526(SCI)
9. Xiaofei Zhou, WenhanJiang, YingjieTian, YongShi. Kernel subclass convex hull sample selection method for SVM on face recognition Neurocomputing 73 (2010) 2234–2246.（SCI）

1. 邓乃扬, 田英杰. 《数据挖掘中的新方法--支持向量机》. 北京, 科学出版社,2004.
2. 邓乃扬, 田英杰. 《支持向量机--- 理论、算法与拓展》北京, 科学出版社. 2009. 
3. Yong Shi, Yingjie Tian, and etc. 《Optimization Based Data Mining: Theory and Applications》, Springer, 2011 
4. Naiyang Deng, Yingjie Tian, Chunhua Zhang. 《Support Vector Machines： Theory, Algorithms, and Extensions》, Taylor and Francis/CRC Press, 2011

1. 主持并完成 国家自然科学基金面上项目1项《数据挖掘中的凸规划理论与方法(10601064)》；(2007.1-2009.12) ；
2. 主持 国家自然科学基金管理学部创新团队子课题《基于支持向量机的知识抽取理论、算法与应用研究（70921061）》；(2010.1-2012.12)；
3. 主持 中国科学院研究生院院长基金B类项目《基于p（0<p<1）模的支持向量机理论与应用研究》；
4. 作为项目技术主要负责人，现负责中国金融期货交易所横向项目《基于数据挖掘的结算风控模型》；
5. 作为主要人员，参与并完成了国家自然科学基金重点项目1项《最优化与数据挖掘(70531040)》 (2006.1-2009.12) ；
6. 作为项目技术主要负责人，圆满完成中国工商银行横向项目《中国工商银行个人客户数据挖掘项目》(2007.9-2008.10) 。