| A comprehensive survey of clustering algorithms D Xu, Y Tian Annals of data science 2 (2), 165-193, 2015 | 2773 | 2015 |
| 数据挖掘中的新方法--支持向量机 邓乃扬， 田英杰 科学出版社, 2004 | 1735* | 2004 |
| A comprehensive survey of loss functions in machine learning Q Wang, Y Ma, K Zhao, Y Tian Annals of Data Science 9 (2), 187-212, 2022 | 1179 | 2022 |
| Support vector machines: optimization based theory, algorithms, and extensions N Deng, Y Tian, C Zhang CRC press, 2012 | 708 | 2012 |
| Application of machine learning methods for the prediction of organic solid waste treatment and recycling processes: A review H Guo, S Wu, Y Tian, J Zhang, H Liu Bioresource technology 319, 124114, 2021 | 406 | 2021 |
| A comprehensive survey on regularization strategies in machine learning Y Tian, Y Zhang Information Fusion 80, 146-166, 2022 | 398 | 2022 |
| Optimization Based Data Mining: Theory and Applications Y Shi, Y Tian, G Kou, Y Peng, J Li Springer, 2011 | 374* | 2011 |
| Robust twin support vector machine for pattern classification Z Qi, Y Tian, Y Shi Pattern recognition 46 (1), 305-316, 2013 | 372 | 2013 |
| An effective intrusion detection framework based on MCLP/SVM optimized by time-varying chaos particle swarm optimization SMH Bamakan, H Wang, T Yingjie, Y Shi Neurocomputing 199, 90-102, 2016 | 339 | 2016 |
| Credit card churn forecasting by logistic regression and decision tree G Nie, W Rowe, L Zhang, Y Tian, Y Shi Expert Systems with Applications 38 (12), 15273-15285, 2011 | 339 | 2011 |
| 支持向量机: 理论, 算法与拓展 邓乃扬， 田英杰 Ke xue chu ban she, 2009 | 294* | 2009 |
| Nonparallel support vector machines for pattern classification Y Tian, Z Qi, X Ju, Y Shi, X Liu IEEE transactions on cybernetics 44 (7), 1067-1079, 2013 | 283 | 2013 |
| Recent advances in stochastic gradient descent in deep learning Y Tian, Y Zhang, H Zhang Mathematics 11 (3), 682, 2023 | 270 | 2023 |
| Recent advances on support vector machines research Y Tian, Y Shi, X Liu Technological and economic development of Economy 18 (1), 5-33, 2012 | 256 | 2012 |
| Laplacian twin support vector machine for semi-supervised classification Z Qi, Y Tian, Y Shi Neural networks 35, 46-53, 2012 | 226 | 2012 |
| Recent advances on loss functions in deep learning for computer vision Y Tian, D Su, S Lauria, X Liu Neurocomputing 497, 129-158, 2022 | 191 | 2022 |
| Meta-learning approaches for learning-to-learn in deep learning: A survey Y Tian, X Zhao, W Huang Neurocomputing 494, 203-223, 2022 | 174 | 2022 |
| Structural twin support vector machine for classification Z Qi, Y Tian, Y Shi Knowledge-based systems 43, 74-81, 2013 | 165 | 2013 |
| Twin support vector machine with universum data Z Qi, Y Tian, Y Shi Neural Networks 36, 112-119, 2012 | 159 | 2012 |
| Multiview privileged support vector machines J Tang, Y Tian, P Zhang, X Liu IEEE transactions on neural networks and learning systems 29 (8), 3463-3477, 2017 | 143 | 2017 |
Yong ShiProfessor, University of Chinese Academy of SciencesVerified email at ucas.ac.cn
