机器学习  

数据挖掘

最优化 

智能知识管理 
 

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070105-运筹学与控制论
120100-管理科学与工程
081203-计算机应用技术

最优化与数据挖掘
数据挖掘与知识管理
数据挖掘与机器学习

2002-09--2005-06   中国农业大学   研究生/管理学博士
1994-09--1997-04   北京理工大学   研究生/理学硕士
1990-09--1994-07   山东师范大学   学生/理学学士

2012-06--至今          中国科学院虚拟经济与数据科学研究中心 研究员
2006-06--2012-06    中国科学院虚拟经济与数据科学研究中心 副研究员
2005-06--2006-06    中国科学院虚拟经济与数据科学研究中心 助理研究员
1997-04--2002-09    中国人民解放军某研究所 助理研究员 

    专著：

1.    Naiyang Deng, Yingjie Tian, Chunhua Zhang , Support vector machines: optimization based theory, algorithms, and extensions, CRC Press, 2012

2.    Yong Shi，Yingjie Tian，Gang Kou，Yi Peng，Jianping Li ，Optimization Based Data Mining: Theory and Applications，Springer，2011

3.  邓乃扬, 田英杰, 数据挖掘中的新方法: 支持向量机. 2004: 科学出版社, 北京.

4.  邓乃扬, 田英杰, 支持向量机理论、算法与拓展. 2009: 科学出版社, 北京.

代表性论文：

1. Yingjie Tian, Kunlong Bai, End-to-End Multitask Learning With Vision Transformer,  IEEE Transactions on neural networks and learning systems, 2023, DOI: 10.1109/TNNLS.2023.3234166

2. Yingjie Tian, Xiaoxi Zhao, Saiji Fu*, Kernel methods with asymmetric and robust loss function,  Expert Systems With Applications, 2013,  213: 119236.

3. Siyu Zhu,  Yingjie Tian*, Shape robustness in style enhanced cross domain semantic segmentation, Pattern Recognition, 2023, 135: 109143.

4. Saiji Fu, Yingjie Tian*, Jingjing Tang, Xiaohui Liu, Cost-sensitive learning with modified Stein loss function, Neurocomputing, 2023, 525: 57~75.

5. Yingjie Tian, Xiaotong Yu, Saiji Fu*, Multi-view side information-incorporated tensor completion, Numerical Linear Algebra with Applications, 2023, DOI: 10.1002/nla.2485.

6. Shiding Sun, Yingjie Tian, Zhiquan Qi, Yang Wu, Weizhi Gao, Yahe Wu,Two-stage training strategy combined with neural network for segmentation of internal mammary artery graft, Biomedical Signal Processing and Control, 2023, 80:104278.

7. Kai Li, Bo Wang, Yingjie Tian*, and Zhiquan Qi. Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function, IEEE Transactions on Cybernetics, 2023, 53(2): 1051~1062.

8. Xiang Gao, Yuqi Zhang, Yingjie Tian*, Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization，ICML,2022.

9. Yingjie Tian, Yuqi Zhang, A comprehensive survey on regularization strategies in machine learning,  Information Fusion, 2022, 80: 146~166.

10. Yingjie Tian, Duo Su, Stanislao Lauria, Xiaohui Liu,  Recent advances on loss functions in deep learning for computer vision, Neurocomputing, 2022, 497: 129~158.

11. Saiji Fu, Xiaotong Yu, Yingjie Tian*, Cost sensitive ν-support vector machine with LINEX loss,  Information Processing and Management,  2022,  59(2): 102809.

12. Yingjie Tian, Shiding Sun, Jingjing Tang, Multi-view Teacher–Student Network,  Neural Network, 2022, 146: 69~84.

13. Jingjing Tang, Dewei Li, Yingjie Tian*, Image classification with multi-view multi-instance metric learning, Expert Systems With Applications, 2022, 189, 116117.

14. Xiang Gao, Yingjie Tian*, Zhiquan Qi, Multi-view Feature Augmentation with Adaptive Class Activation Mapping, IJCAI, 2021, 678-684.

15. Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian, Two-stage Training for Learning from Label Proportions,  IJCAI, 2021, 2737-2743.

16. Yingjie Tian, Siyu Zhu, Partial domain adaptation on semantic segmentation, IEEE Transactions on Circuits and Systems for Video Technology,  2022, 32(6): 3798~3809.

17. Yingjie Tian, Saiji Fu, Jingjing Tang, Incomplete-view oriented kernel learning method with generalization error bound, Information Sciences, 2021, 581: 951~977.

18. Fenfen Zhou, Yingjie Tian*, Zhiquan Qi, Attention Transfer Network for Nature Image Matting, IEEE Transactions on Circuits and Systems for Video Technology, 2021, 31(6): 2192~2205.

19. Xiang Gao, Yingjie Tian*, Zhiquan Qi, RPD-GAN: Learning to Draw Realistic Paintings With Generative Adversarial Network, IEEE Transactions on Image Processing, 2020, 29: 8706~8720.

20. Yingjie Tian, Mahboubeh Mirzabagheri, Peyman Tirandazic, Seyed Mojtaba Hosseini Bamakan, A non-convex semi-supervised approach to opinion spam detection by ramp-one class SVM, Information Processing and Management, 2020, 57(6): 102381.

21. Yingjie Tian, Saiji Fu, A descriptive framework for the field of deep learning applications in medical images，Knowledge-Based Systems, 2020, 210: 106445.

22. Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi, Learning from Label Proportions with Generative Adversarial Networks, NeurIPS, 2019, 7167~7177.

23. Jingjing Tang, Yingjie Tian*, Dalian Liu, Gang Kou, Coupling privileged kernel method for multi-view learning, Information Sciences, 2019, 481: 110~127.

24. Wen Long, Linqiu Song, Yingjie Tian*, A new graphic kernel method of stock price trend prediction based on financial news semantic and structural similarity, Expert Systems With Applications, 2019, 118: 411~424.

25. Jingjing Tang, Yingjie Tian*, Peng Zhang, and Xiaohui Liu, Multiview Privileged Support Vector Machines, IEEE Transactions on neural networks and learning systems, 2018, 29(8): 3463~3477.

26. Zhiquan Qi, Fan Meng, Yingjie Tian*, Lingfeng Niu, Yong Shi, and Peng Zhang, Adaboost-LLP: A Boosting Method for Learning With Label Proportions, IEEE Transactions on neural networks and learning systems, 2018, 29(8): 3548~3559.

27. Dewei Li, Yingjie Tian*, Survey and experimental study on metric learning methods, Neural Networks, 2018, 105: 447~462.

28. Lingfeng Niu, Ruizhi Zhou, Yingjie Tian*, Zhiquan Qi, Peng Zhang, Nonsmooth Penalized Clustering via lp Regularized Sparse Regression, IEEE Transactions on Cybernetics, 2017, 47(6): 1423~1433.

29. Huadong Wang, Yong Shi, Lingfeng Niu, and Yingjie Tian, Nonparallel Support Vector Ordinal Regression, IEEE Transactions on neural networks and learning systems, 2017, 47(10): 3306~3317.

30. Dongkuan Xu, Jia Wu, Dewei Li, Yingjie Tian*, Xingquan Zhu, Xindong Wu, SALE: Self-adaptive LSH encoding for multi-instance learning, Pattern Recognition,  2017, 71: 460~482,

31. Qin Zhang, Jia Wu, Hong Yang, Yingjie Tian*, Chengqi Zhang, Unsupervised Feature Learning from Time Series,  IJCAI, 2016, 2322~2328.

32. Dandan Chen, Yingjie Tian*, Xiaohui Liu, Structural nonparallel support vector machine for pattern recognition, Pattern Recognition, 2016, 60: 296~305.

33. Zhiquan Qi, Yingjie Tian, Yong Shi, Successive Overrelaxation for Laplacian Support Vector Machine, IEEE Transactions on Neural Networks, 2015, 26(4): 674~683.

34. Yingjie Tian, Zhiquan Qi, Xuchan Ju, Yong Shi, Xiaohui Liu, Nonparallel Support Vector Machines for Pattern Classification, IEEE Transactions on Cybernetics, 2014, 44(7): 1067~1079.

 

   

1、国家自然科学基金面上项目、基于最优化的多视角学习理论、方法与应用研究、在研、主持。

2、****多源异构本底数据融合分析与监测预警研究、在研、主持。

3、国家自然科学基金重点项目、大数据情境下全景式信用理论与演变机制研究、课题、在研、主持。

4、基于大数据的慢性病风险防控服务体系建设、课题、结题、主持。

5、医疗大数据挖掘项目、横向课题、在研、主持。

6、国家自然科学基金面上项目、可拓支持向量机理论、方法与应用研究、结题、主持。

7、国家自然科学基金面上项目、知识驱动的支持向量机理论、算法与应用研究、结题、主持。

8、某部委科技项目、开放网络环境下科技群智汇聚与问题求解系统研究、课题、在研、主持。

9、水利部公益性行业科研专项经费项目、灌区水资源总量控制技术及多维临界调控模式、课题、结题、主持。

10、国家自然科学基金委重大国际（地区）合作项目、最优化数据挖掘的商业智能方法以及在金融与银行管理中的应用、结题、参加。

11、国家自然科学基金青年项目、数据挖掘中的凸规划理论与方法、结题、主持。

12、中国科学院知识创新工程重要方向项目、全球经济监测与政策模拟仿真平台建设预研项目、课题、结题、参加。

13、国家自然科学基金管理学部创新团队、数据挖掘与智能知识管理理论与应用研究、结题、参加。

14、国家自然科学基金重点项目、最优化与数据挖掘、结题、参加。