Yingjie Tian

Zhiquan Qi, Yingjie Tian, Yong Shi: Structural twin support vector machine for classification. Knowl.-Based Syst. 43: 74-81 (2013)

Zhiquan Qi, Yingjie Tian, Yong Shi: Robust twin support vector machine for pattern classification. Pattern Recognition 46(1): 305-316 (2013)

Zhiquan Qi, Yingjie Tian, Yong Shi: Laplacian twin support vector machine for semi-supervised classification. Neural Networks 35: 46-53 (2012)

Zhiquan Qi, Yingjie Tian, Yong Shi: Twin support vector machine with Universum data. Neural Networks 36: 112-119 (2012)

Zhiquan Qi, Yingjie Tian, Yong Shi: Regularized Multiple Criteria Linear Programming via Linear Programming. Procedia CS 9: 1234-1239 (2012)

Xuchan Ju, Yingjie Tian: Knowledge-based Support Vector Machine Classifiers via Nearest Points. Procedia CS 9: 1240-1248 (2012)

Yingjie Tian, Xuchan Ju, Zhiquan Qi, Yong Shi: Efficient sparse least squares support vector machines for pattern classification. FSKD 2012: 697-701

Zhiquan Qi, Yingjie Tian, Yong Shi: Regular Multiple Criteria Linear Programming for Semi-supervised Classification. ICDM Workshops 2012: 500-505

Yanan Wang, Yingjie Tian: Fast Localized Twin SVM. ICNC 2012: 74-78

Ruoying Chen, Wenjing Chen, Sixiao Yang, Di Wu, Yong Wang, Yingjie Tian, Yong Shi: Rigorous assessment and integration of the sequence and structure based features to predict hot spots. BMC Bioinformatics 12: 311 (2011)

Xiaofei Zhou, Wenhan Jiang, Yong Shi, Yingjie Tian: Credit risk evaluation with kernel-based affine subspace nearest points learning method. Expert Syst. Appl. 38(4): 4272-4279 (2011)

Guangli Nie, Wei Rowe, Lingling Zhang, Yingjie Tian, Yong Shi: Credit card churn forecasting by logistic regression and decision tree. Expert Syst. Appl. 38(12): 15273-15285 (2011)

Dongling Zhang, Yingjie Tian, Yong Shi: A group of knowledge-incorporated multiple criteria linear programming classifiers. J. Computational Applied Mathematics 235(13): 3705-3717 (2011)

Yingjie Tian, Yong Shi, Xiaojun Chen, Wenjing Chen: AUC Maximizing Support Vector Machines with Feature Selection. Procedia CS 4: 1691-1698 (2011)

Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Yong Shi: Kernel subclass convex hull sample selection method for SVM on face recognition. Neurocomputing 73(10-12): 2234-2246 (2010)

Zhixia Yang, Yingjie Tian: Second Order Cone Programming Formulations for Handling Data with Perturbation. JCIT 5(9): 267-278 (2010)

Zhan Zhang, Dongling Zhang, Yingjie Tian: Kernel-based multiple criteria linear programming classifier. Procedia CS 1(1): 2407-2415 (2010)

Yingjie Tian, Jun Yu, Wenjing Chen: lp-norm support vector machine with CCCP. FSKD 2010: 1560-1564

Yong Shi, Yingjie Tian, Xiaojun Chen, Peng Zhang: Regularized multiple criteria linear programs for classification. Science in China Series F: Information Sciences 52(10): 1812-1820 (2009)

Dongling Zhang, Yong Shi, Yingjie Tian, Meihong Zhu: A class of classification and regression methods by multiobjective programming. Frontiers of Computer Science in China 3(2): 192-204 (2009)

Zhixia Yang, Yingjie Tian, Naiyang Deng: Leave-one-out bounds for support vector ordinal regression machine. Neural Computing and Applications 18(7): 731-748 (2009)

Jiashu Zhou, Erping Wang, Yiwen Chen, Xuanna Wu, Yujie Ma, Yingjie Tian: Forecasting Model of Mass Incidents in China - An Explorative Research Based on Suppport Vector Machine. BIFE 2009: 152-155

Weibing Chen, Hongxia Yin, Yingjie Tian: Smoothing Newton Method for L1 Soft Margin Data Classification Problem. ICCS (2) 2009: 543-551

Guangli Nie, Guoxun Wang, Peng Zhang, Yingjie Tian, Yong Shi: Finding the Hidden Pattern of Credit Card Holder's Churn: A Case of China. ICCS (2) 2009: 561-569

Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Peng Zhang, Guangli Nie, Yong Shi: A New Kernel-Based Classification Algorithm. ICDM 2009: 1094-1099

Kun Zhao, Yingjie Tian, Naiyang Deng: Robust Unsupervised and Semi-supervised Bounded v - Support Vector Machines. ISNN (2) 2009: 312-321

Dongling Zhang, Yingjie Tian, Peng Zhang: Kernel-Based Nonparametric Regression Method. Web Intelligence/IAT Workshops 2008: 410-413

Peng Zhang, Yingjie Tian, Zhiwang Zhang, Aihua Li, Xingquan Zhu: Select Objective Functions for Multiple Criteria Programming Classification. Web Intelligence/IAT Workshops 2008: 420-423

Peng Zhang, Yingjie Tian, Xingsen Li, Zhiwang Zhang, Yong Shi: Select Representative Samples for Regularized Multiple-Criteria Linear Programming Classification. ICCS (2) 2008: 436-440

Chuanliang Chen, Yun-Chao Gong, Yingjie Tian: KCK-Means: A Clustering Method Based on Kernel Canonical Correlation Analysis. ICCS (1) 2008: 995-1004

Chuanliang Chen, Yingjie Tian, Chunhua Zhang: Spam filtering with several novel bayesian classifiers. ICPR 2008: 1-4

Yun-Chao Gong, Chuanliang Chen, Yingjie Tian: Graph-based semi-supervised learning with redundant views. ICPR 2008: 1-4

Chengming Qi, Yingjie Tian, Shoumei Cui, Yunchuan Sun: Concept Semilattice: Construction and Complexity. ICYCS 2008: 1849-1853

Yingjie Tian, Yunchuan Sun, Chuanliang Chen, Zhan Zhang: Unconstrained transductive Support Vector Machines and its application. IJCNN 2008: 137-141

Chuanliang Chen, Yunchao Gong, Yingjie Tian: Semi-supervised learning methods for network intrusion detection. SMC 2008: 2603-2608

Yingjie Tian, Manfu Yan: Unconstrained Transductive Support Vector Machines. FSKD (2) 2007: 181-185

Ruxin Qin, Jing Chen, Naiyang Deng, Yingjie Tian: A Leave-One-Out Bound for nu-Support Vector Regression. International Conference on Computational Science (3) 2007: 669-676

Zhan Zhang, Yingjie Tian, Yong Shi: Feature Selection for VIP E-Mail Accounts Analysis. International Conference on Computational Science (3) 2007: 693-700

Kun Zhao, Yingjie Tian, Naiyang Deng: Unsupervised and Semi-supervised Lagrangian Support Vector Machines. International Conference on Computational Science (3) 2007: 882-889

Yong Shi, Yingjie Tian, Xiaojun Chen, Peng Zhang: A Regularized Multiple Criteria Linear Program for Classification. ICDM Workshops 2007: 253-258

Kun Zhao, Yingjie Tian, Naiyang Deng: Unsupervised and Semi-Supervised Two-class Support Vector Machines. ICDM Workshops 2006: 813-817

Yingjie Tian, Zhiquan Qi: A New Support Vector Machine for Multi-class Classification. CIT 2005: 18-22

Zhixia Yang, Naiyang Deng, Yingjie Tian: A Multi-class Classification Algorithm based on Ordinal Regression Machine. CIMCA/IAWTIC 2005: 810-815

Yingjie Tian, Naiyang Deng: Leave-one-out Bounds for Support Vector Regression. CIMCA/IAWTIC 2005: 1061-1066

Zhiquan Qi, Yingjie Tian, Naiyang Deng: A New Support Vector Machine for Multi-class Classification. CIS (1) 2005: 580-585

Yingjie Tian, Naiyang Deng: Support Vector Classification with Nominal Attributes. CIS (1) 2005: 586-591