Name: TIAN Yingjie
Title: Professor
E-mail: tyj@ucas.ac.cn
Administrative Title: Vice Dean, Deputy Director
Research Areas: Data Mining, Machine Learning
Highest Degree&Year Earned: Ph.D, 2005
Discipline: Management Science and Engineering
Publication in the Past 5 Years:
1) English Journals&Journal Citations (SSCI/SCI/EI/CSSCI)
1.Gao X , Tian Y , Qi Z . RPD-GAN: Learning to Draw Realistic Paintings With Generative Adversarial Network[J]. IEEE Transactions on Image Processing.2020, SCI
2. Tian, Yingjie & Fu, Saiji. (2020). A descriptive framework for the field of deep learning applications in medical images. Knowledge-Based Systems. 210. 106445. 10.1016/j.knosys.2020.106445. SCI
3. Zhou F , Tian Y , Qi Z . Attention Transfer Network for Nature Image Matting[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2020, PP(99):1-1., SCI
4. Gwa B , Rz C , Ytbd E , et al. Joint Ranking SVM and Binary Relevance with robust Low-rank learning for multi-label classification[J]. Neural Networks, 2020, 122:24-39. SCI
5. Tian Y , Mirzabagheri M , Tirandazi P , et al. A non-convex semi-supervised approach to opinion spam detection by ramp-one class SVM[J]. Information Processing & Management, 2020, 57(6):102381. SCI
6. Long W , Song L , Tian Y , et al. Analysis of slump and surge phenomenon in Chinese stock market based on sequence alignment method[J]. Soft Computing, 2020, 24(23). SCI
7. Jingjing Tang, Yingjie Tian*, Peng Zhang, and Xiaohui Liu, Multiview Privileged Support Vector Machines, IEEE Transactions on neural networks and learning systems, 2017.7.10, DOI: 10.1109/TNNLS.2017.2728139. SCI
8. Lingfeng Niu, Ruizhi Zhou, Yingjie Tian*, Zhiquan Qi, and Peng Zhang, Nonsmooth Penalized Clustering via lp Regularized Sparse Regression, IEEE transactions on cybernetics, JUNE 2017, VOL. 47, NO. 6: 1423-1433. SCI
9. Jingjing Tang, Yingjie Tian*, A multi-kernel framework with nonparallel support vector machine, Neurocomputing, 2017, 266: 226-238. SCI
10. 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. SCI
11. Dewei Li, Yingjie Tian∗,Global and local metric learning via eigenvectors, Knowledge-Based Systems, 2017, 116: 152-162. SCI
12. Jingjing Tang, Yingjie Tian*, Peng Zhang, and Xiaohui Liu, Multiview Privileged Support Vector Machines, IEEE transactions on neural networks and learning systems, AUGUST, 2018, VOL. 29, NO. 8: 3463-3477. SCI
13. 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, AUGUST 2018, VOL. 29, NO. 8: 3548-3559. SCI
14. Dewei Li, Yingjie Tian*, Survey and experimental study on metric learning methods, Neural Networks, 2018, 105: 447-462. SCI
15. Yingjie Tian, Mahboubeh Mirzabagheri, Seyed Mojtaba Hosseini Bamakan*, Huadong Wanga, Qiang Qu, Ramp loss one-class support vector machine; A robust and effective approach to anomaly detection problems, Neurocomputing, 2018, 310: 223-235. SCI
16. Yiwei He, Yingjie Tian*, Jingjing Tang, and Yue Ma, Unsupervised Domain Adaptation Using Exemplar-SVMs with Adaptation Regularization, Complexity, 2018, Volume 2018, Article ID 8425821, 13 pages SCI
17. Long Tang, Yingjie Tian*, Chunyan Yang, Nonparallel support vector regression model and its SMO-type solver, Neural Networks, 2018, 105: 431-446. SCI
18. Jingjing Tang, Dewei Li, Yingjie Tian⁎, Dalian Liu*, Multi-view learning based on nonparallel support vector machine, Knowledge-Based Systems, 2018, 158: 94-108., SCI
19. Jingjing Tang, Yingjie Tian*, Xiaohui Liu, Dewei Li, Jia Lv, Gang Kou, Improved multi-view privileged support vector machine, Neural Networks, 2018, 106: 96-109., SCI
20. Guoqiang Wu, Yingjie Tian*, Dalian Liu**, Cost-sensitive multi-label learning with positive and negative label pairwise correlations, Neural Networks, 2018, 108: 411-423., SCI
21. Guoqiang Wu, Yingjie Tian∗, Chunhua Zhang, A unified framework implementing linear binary relevance for multi-label learning, Neurocomputing, 2018, 289: 86-100., SCI
22. Wen Long, Yeran Tang, Yingjie Tian*, Investor sentiment identification based on the universum SVM, Neural Computing and Applications, 2018, 30: 661-670. SCI
23. Yiwei He, Yingjie Tian∗, Dalian Liu∗∗, Multi-view transfer learning with privileged learning framework, Neurocomputing, 2019, 335: 131-142. SCI
24. Jiashuai Zhang, Jianyu Miao, Kun Zhao, Yingjie Tian∗,Multi-task feature selection with sparse regularization to extract common and task-specific features, Neurocomputing, 2019, 340: 76-89. SCI
25. Jingjing Tang, Yingjie Tian∗, Dalian Liu∗, Gang Kou, Coupling privileged kernel method for multi-view learning, Information Sciences, 2019, 481:110-127. SCI
26. 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. SCI
Projects Statistics:
1) Number of Research Projects in the Past 5 Years: 5
