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          中国科学院大学 研究员

2006-06--2012-06    中国科学院大学 副研究员

2005-06--2006-06    中国科学院大学 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. 田英杰, 唐静静, 机器学习与最优化. 科学出版社, 北京, 2024.

2. 付赛际, 田英杰, 医疗大数据与机器学习. 清华大学出版社, 北京, 2023.

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

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

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

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

近5年代表性论文（*为通讯作者）：

1. Shaokai Xu, Muyang Li, Yingjie Tian*, Bidirectional gradient optimization for graph knowledge distillation: Reactivating KL divergence via component decoupling, Information Sciences, 2026, 741: 123299.

2. Xiaoxiao Wang, Yingjie Tian*, Towards provenance-aware diffusion:Key-free watermarking with Gaussian shading, Expert Systems With Applications, 2026, 306: 130822.

3. Long Tang*, Keyang Pu, Yingjie Tian. When Generalized Zero-Shot Learning Meets PU Learning: A Plug-and-Play Framework for Seen-Class Bias Mitigation, Proceedings of the 43rd International Conference on Machine Learning (ICML), PMLR 306, 2026.

4. Haonan Wen, Yingjie Tian*, Kun Guo, Estimating undisclosed corporate greenhouse gas emissions using energy consumption data as privileged information, International Review of Financial Analysis, 2026, 110:104987.

5. Yingjie Tian, Minghao Liu, Haoran Jiang, et al., SketchRefiner: Text-Guided Sketch Refinement Through Latent Diffusion Models, IEEE Transactions on Visualization and Computer Graphics, 2025, 31(12): 10711~10722.

6. Minghao Liu, Le Zhang, Yingjie Tian*, Xiaochao Qu, Luoqi Liu, Ting Liu, Draw Like an Artist: Complex Scene Generation with Diffusion Model via Composition, Painting, and Retouching, IEEE Transactions on Circuits and Systems for Video Technology,  2026, 36(4):4492~4503.

7. Yingjie Tian, Minghao Liu, Duo Su, Cliprefiner: Enhancing Realism and Detail in Free-Hand Sketches Through Semantically-Aware Optimization, Pattern Recognition Letters, 2025, 198: 64–70.

8. Yingjie Tian, Haonan Wen, Kun Guo, Machine learning applications in climate finance: An overview,  Research in International Business and Finance, 2025, 79: 103063.  

9. Jianyu Miao, Xiaochan Zhang, Tiejun Yang,  Chao Fan,  Yingjie Tian,  Yong Shi, Mingliang Xu,  A Comprehensive Survey on Subspace Clustering: Methods and Applications,  Artificial Intelligence Review, 2025, 58: 346.

10. Saiji Fu, Haonan Wen, Xiaoxiao Wang, Yingjie Tian*, Self-improved multi-view interactive knowledge transfer, Information Fusion, 2025, 114: 102718.

11. Yingjie Tian, Haoran Jiang, Recent advances in complementary label learning, Information Fusion, 2025, 114: 102702.

12. Yingjie Tian, Siyu Zhao, Xingyu Zhang, Robustness and orthogonality: Time series forecasting via wavelets, Information Sciences, 2025, 717:122328. 

13. Xiaotong Yu, Shiding Sun, Yingjie Tian*, Sample selection for noisy partial label learning with interactive contrastive learning, Pattern Recognition, 2025, 166: 111681.

14. Long Tang, Pengfei Yan, Yingjie Tian, Pano.M. Pardalos, Self-adaptive label discovery and multi-view fusion for complementary label learning, Neural Networks, 2025, 181: 106763.

15. Yingjie Tian, Haonan Wen, Saiji Fu∗, Multi-step ahead prediction of carbon price movement using time-series privileged information, Expert Systems With Applications, 2024, 255:124825.

16. Yingjie Tian, Shaokai Xu, Muyang Li, Decoupled graph knowledge distillation: A general logits-based method for learning MLPs on graphs, Neural Networks, 2024, 179:106567.

17. Saiji Fu, Tianyi Dong, Zhaoxin Wang, Yingjie Tian*, Weakly privileged learning with knowledge extraction, Pattern Recognition, 2024,153:110517,

18. Shiding Sun, Bo Wang, Yingjie Tian*, Decoupled Representation for Multi-View Learning, Pattern Recognition, 2024, 151:110377.

19. Duo Su, Junjie Hou, Weizhi Gao, Yingjie Tian*, Bowen Tang, D4M: Dataset Distillation via Disentangled Diffusion Model, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR-2024),  5809~5818.

20. Haoran Jiang, Zhihao Sun, Yingjie Tian*, Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes, the 38th AAAI Conference on Artificial Intelligence (AAAI-2024), 12874~12882. 

21. Yingjie Tian, Duo Su, Shilin Li, Adaptive robust loss for landmark detection, Information Fusion, 2024, 101: 102013.

22. Xiaotong Yu, Shiding Sun, Yingjie Tian∗, Self-distillation and Self-supervision for Partial Label Learning, Pattern Recognition, 2024, 146: 110016.

23. Yingjie Tian, Yuhao Xie, Artificial cheerleading in IEO: Marketing campaign or pump and dump scheme,  Information Processing and Management, 2024, 61: 103537.

24. Haoran Jiang, Zhihao Sun, Yingjie Tian∗, ComCo: Complementary Supervised Contrastive Learning for Complementary Label Learning, Neural Networks, 2024, 169: 44~56.

25. Kai Li, Jie Yang, Siwei Ma, Bo Wang, Shanshe Wang, Yingjie Tian*, Zhiquan Qi, Rethinking Lightweight Convolutional Neural Networks for Efficient and High-quality Pavement Crack Detection,  IEEE Transactions on Intelligent Transportation Systems, 2024, 25(1):237~250.

26. Saiji Fu, Yingjie Tian*, Long Tang, Robust regression under the general framework of bounded loss functions,  European Journal of Operational Research, 2023, 310: 1325~1339. 

27. Saiji Fu, Xiaoxiao Wang, Yingjie Tian*, Tianyi Dong, Jingjing Tang, Jicai Li, Coarse-grained privileged learning for classification,  Information Processing and Management, 2023, 60: 103506.

28. Yingjie Tian, Kunlong Bai, End-to-End multitask learning with vision transformer,  IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(7): 9579~9590.

29. Shiding Sun, Xiaotong Yu,  Yingjie Tian*, Multi-view prototype-based disambiguation for partial label learning, Pattern Recognition, 2023, 141: 109625.

30. Yingjie Tian, Xiaotong Yu, Saiji Fu, Partial label learning: taxonomy, analysis and outlook, Neural Networks, 2023, 161: 708~734.

31. Yuqi Zhang, Yingjie Tian*, Junjie Hou. CSAST: content self-supervised  and style contrastive learning for arbitrary style transfer, Neural Networks, 2023, 164: 146~155.

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

33. Yingjie Tian, Yuhao Xie, Picture For Proof (PFPs): aesthetics, IP and post launch performance,  Finance Research Letters, 2023, 55, 103974.

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

35. Kai Li, Bo Wang, Yingjie Tian*, Zhiquan Qi. Fast and accurateroad crack detection based on adaptive cost-sensitive loss function, IEEE Transactions on Cybernetics, 2023, 53(2): 1051~1062.

36. Xiang Gao, Yuqi Zhang, Yingjie Tian*, Learning to incorporate texture saliency adaptive attention to image cartoonization，ICML, 2022, 162: 7183~7207.

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

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

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

40. Yingjie Tian, Shiding Sun, Jingjing Tang, Multi-view teacher–student network,  Neural Network, 2022, 146: 69~84.

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

42. Xiang Gao, Yingjie Tian*, Zhiquan Qi, Multi-view feature augmentation with adaptive class activation mapping, IJCAI, 2021, 678-684.

43. Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian, Two-stage training for learning from label proportions,  IJCAI, 2021, 2737-2743.

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

45. 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.

46. 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.