Ying-Jie Tian

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Yong ShiProfessor, University of Chinese Academy of SciencesPatvirtintas el. paštas ucas.ac.cn
zhiquan qi, 齐志泉University of Chinese Academy of SciencesPatvirtintas el. paštas ucas.ac.cn
Jingjing TangSouthwestern University of Finance and EconomicsPatvirtintas el. paštas swufe.edu.cn
Gang KouSWUFE 西南财经大学Patvirtintas el. paštas swufe.edu.cn
Yi Peng (彭怡)University of Electronic Science and Technology of ChinaPatvirtintas el. paštas uestc.edu.cn
Dongkuan (DK) XuAssistant Professor of Computer Science, North Carolina State UniversityPatvirtintas el. paštas ncsu.edu
Peng ZhangProfessor, Guangzhou UniversityPatvirtintas el. paštas gzhu.edu.cn
Xiaohui LiuProfessor of Computing, Brunel UniversityPatvirtintas el. paštas brunel.ac.uk
Bo WangAssociate Professor, University of International Business and EconomicsPatvirtintas el. paštas uibe.edu.cn
Zhiwang ZhangNanjing University of Finance and EconomicsPatvirtintas el. paštas nufe.edu.cn
Guoqiang WuAssociate Professor, Shandong UniversityPatvirtintas el. paštas sdu.edu.cn
Yong WangAcademy of Mathematics and Systems Science, Chinese Academy of SciencesPatvirtintas el. paštas amss.ac.cn
Ling-Yun WuProfessor of Academy of Mathematics and Systems Science, Chinese Academy of SciencesPatvirtintas el. paštas amss.ac.cn
Yuan-Hai ShaoHainan UniversityPatvirtintas el. paštas hainanu.edu.cn
Hang LiBytedance ResearchPatvirtintas el. paštas bytedance.com

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Ying-Jie Tian

Chinese Academy of Sciences

Patvirtintas el. paštas gucas.ac.cn - Pagrindinis puslapis

machine learning data mining...


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
支持向量机: 理论、算法与拓展邓乃扬，田英杰科学出版社, 2009	2577*	2009
A comprehensive survey of clustering algorithms D Xu, Y Tian Annals of data science 2, 165-193, 2015	2354	2015
A comprehensive survey of loss functions in machine learning Q Wang, Y Ma, K Zhao, Y Tian Annals of Data Science, 1-26, 2020	770	2020
Robust twin support vector machine for pattern classification Z Qi, Y Tian, Y Shi Pattern recognition 46 (1), 305-316, 2013	359	2013
Optimization Based Data Mining: Theory and Applications Y Shi, Y Tian, G Kou, Y Peng, J Li Springer, 2011	319	2011
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	317	2011
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	275	2013
A comprehensive survey on regularization strategies in machine learning Y Tian, Y Zhang Information Fusion 80, 146-166, 2022	242	2022
Laplacian twin support vector machine for semi-supervised classification Z Qi, Y Tian, Y Shi Neural networks 35, 46-53, 2012	223	2012
Recent advances on support vector machines research Y Tian, Y Shi, X Liu Technological and economic development of Economy 18 (1), 5-33, 2012	223	2012
Structural twin support vector machine for classification Z Qi, Y Tian, Y Shi Knowledge-based systems 43, 74-81, 2013	162	2013
Twin support vector machine with universum data Z Qi, Y Tian, Y Shi Neural Networks 36, 112-119, 2012	150	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	126	2017
Support vector machine classifier with truncated pinball loss X Shen, L Niu, Z Qi, Y Tian Pattern Recognition 68, 199-210, 2017	125	2017
Ramp loss one-class support vector machine; a robust and effective approach to anomaly detection problems Y Tian, M Mirzabagheri, SMH Bamakan, H Wang, Q Qu Neurocomputing 310, 223-235, 2018	112	2018
Joint ranking SVM and binary relevance with robust low-rank learning for multi-label classification G Wu, R Zheng, Y Tian, D Liu Neural Networks 122, 24-39, 2020	107	2020
Recent advances on loss functions in deep learning for computer vision Y Tian, D Su, S Lauria, X Liu Neurocomputing 497, 129-158, 2022	104	2022
Recent advances in stochastic gradient descent in deep learning Y Tian, Y Zhang, H Zhang Mathematics 11 (3), 682, 2023	102	2023
Survey and experimental study on metric learning methods D Li, Y Tian Neural networks 105, 447-462, 2018	96	2018
Meta-learning approaches for learning-to-learn in deep learning: A survey Y Tian, X Zhao, W Huang Neurocomputing 494, 203-223, 2022	89	2022

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