A New Support Vector Machine for Multi-class Classification. - Yingjie Tian 001; Zhiquan Qi (CIT, 2005)

Leave-one-out Bounds for Support Vector Regression. - Yingjie Tian 001; Naiyang Deng (CIMCA/IAWTIC, 2005)

A Multi-class Classification Algorithm based on Ordinal Regression Machine. - Zhixia Yang; Naiyang Deng; Yingjie Tian 001 (CIMCA/IAWTIC, 2005)

A New Support Vector Machine for Multi-class Classification. - Zhiquan Qi; Yingjie Tian 001; Naiyang Deng (CIS (1), 2005)

Support Vector Classification with Nominal Attributes. - Yingjie Tian 001; Naiyang Deng (CIS (1), 2005)

Unsupervised and Semi-Supervised Two-class Support Vector Machines. - Kun Zhao; Ying-Jie Tian 001; Naiyang Deng (ICDM Workshops, 2006)

Unconstrained Transductive Support Vector Machines. - Yingjie Tian 001; Manfu Yan (FSKD (2), 2007)

A Leave-One-Out Bound for nu-Support Vector Regression. - Ruxin Qin; Jing Chen; Naiyang Deng; Yingjie Tian 001 (International Conference on Computational Science (3), 2007)

Feature Selection for VIP E-Mail Accounts Analysis. - Zhan Zhang; Yingjie Tian 001; Yong Shi 001 (International Conference on Computational Science (3), 2007)

Unsupervised and Semi-supervised Lagrangian Support Vector Machines. - Kun Zhao; Yingjie Tian 001; Naiyang Deng (International Conference on Computational Science (3), 2007)

Robust Unsupervised and Semisupervised Bounded C-Support Vector Machines. - Kun Zhao; Ying-Jie Tian 001; Naiyang Deng; Hiroshi Kuwajima; Takashi Washio (ICDM Workshops, 2007)

A Regularized Multiple Criteria Linear Program for Classification. - Yong Shi 001; Yingjie Tian 001; Xiaojun Chen 001; Peng Zhang 001 (ICDM Workshops, 2007)

Kernel-Based Nonparametric Regression Method. - Dongling Zhang; Yingjie Tian 001; Peng Zhang 001 (Web Intelligence/IAT Workshops, 2008)

Select Objective Functions for Multiple Criteria Programming Classification. - Peng Zhang 001; Yingjie Tian 001; Zhiwang Zhang; Aihua Li; Xingquan Zhu 001 (Web Intelligence/IAT Workshops, 2008)

KCK-Means: A Clustering Method Based on Kernel Canonical Correlation Analysis. - Chuanliang Chen; Yun-Chao Gong; Yingjie Tian 001 (ICCS (1), 2008)

Select Representative Samples for Regularized Multiple-Criteria Linear Programming Classification. - Peng Zhang 001; Yingjie Tian 001; Xingsen Li; Zhiwang Zhang; Yong Shi 001 (ICCS (2), 2008)

Spam filtering with several novel bayesian classifiers. - Chuanliang Chen; Yingjie Tian 001; Chunhua Zhang (ICPR, 2008)

Graph-based semi-supervised learning with redundant views. - Yun-Chao Gong; Chuanliang Chen; Yingjie Tian 001 (ICPR, 2008)

Concept Semilattice: Construction and Complexity. - Chengming Qi; Yingjie Tian 001; Shoumei Cui; Yunchuan Sun (ICYCS, 2008)

Unconstrained transductive Support Vector Machines and its application. - Yingjie Tian 001; Yunchuan Sun; Chuanliang Chen; Zhan Zhang (IJCNN, 2008)

AODE for Source Code Metrics for Improved Software Maintainability. - Yingjie Tian 001; Chuanliang Chen; Chunhua Zhang (SKG, 2008)

Semi-supervised learning methods for network intrusion detection. - Chuanliang Chen; Yunchao Gong; Yingjie Tian 001 (SMC, 2008)

Forecasting Model of Mass Incidents in China - An Explorative Research Based on Suppport Vector Machine. - Jiashu Zhou; Erping Wang; Yiwen Chen; Xuanna Wu; Yujie Ma; Yingjie Tian 001 (BIFE, 2009)

Smoothing Newton Method for L1 Soft Margin Data Classification Problem. - Weibing Chen; Hongxia Yin; Yingjie Tian 001 (ICCS (2), 2009)

Finding the Hidden Pattern of Credit Card Holder's Churn: A Case of China. - Guangli Nie; Guoxun Wang; Peng Zhang 001; Yingjie Tian 001; Yong Shi 001 (ICCS (2), 2009)

A New Kernel-Based Classification Algorithm. - Xiaofei Zhou; Wenhan Jiang; Yingjie Tian 001; Peng Zhang 001; Guangli Nie; Yong Shi 001 (ICDM, 2009)

Robust Unsupervised and Semi-supervised Bounded v - Support Vector Machines. - Kun Zhao; Yingjie Tian 001; Naiyang Deng (ISNN (2), 2009)

Regularized multiple criteria linear programs for classification. - Yong Shi 001; Yingjie Tian 001; Xiaojun Chen 001; Peng Zhang 001 (Sci. China Ser. F Inf. Sci., 2009)

A class of classification and regression methods by multiobjective programming. - Dongling Zhang; Yong Shi 001; Yingjie Tian 001; Meihong Zhu (Frontiers Comput. Sci. China, 2009)

Leave-one-out bounds for support vector ordinal regression machine. - Zhixia Yang; Yingjie Tian 001; Naiyang Deng (Neural Comput. Appl., 2009)

lp-norm support vector machine with CCCP. - Yingjie Tian 001; Jun Yu; Wenjing Chen (FSKD, 2010)

Kernel subclass convex hull sample selection method for SVM on face recognition. - Xiaofei Zhou; Wenhan Jiang; Yingjie Tian 001; Yong Shi 001 (Neurocomputing, 2010)

Second Order Cone Programming Formulations for Handling Data with Perturbation. - Zhixia Yang; Yingjie Tian 001 (J. Convergence Inf. Technol., 2010)

Lp-norm proximal support vector machine and its applications. - Wen Jing Chen; Ying Jie Tian 001 (ICCS, 2010)

Kernel-based multiple criteria linear programming classifier. - Zhan Zhang; Dongling Zhang; Yingjie Tian 001 (ICCS, 2010)

A new rule extraction approach from Support Vector Machines. - Sixiao Yang; Ying Jie Tian 001 (FSKD, 2011)

Rule Extraction from Support Vector Machines and Its Applications. - Sixiao Yang; Ying Jie Tian 001; Chunhua Zhang (Web Intelligence/IAT Workshops, 2011)

A Novel Knowledge-Based Twin Support Vector Machine. - Xu Chan Ju; Ying Jie Tian 001 (ICDM Workshops, 2011)

Rigorous assessment and integration of the sequence and structure based features to predict hot spots. - Ruoying Chen; Wenjing Chen; Sixiao Yang; Di Wu; Yong Wang; Yingjie Tian 001; Yong Shi 001 (BMC Bioinform., 2011)

Credit card churn forecasting by logistic regression and decision tree. - Guangli Nie; Wei Rowe; Lingling Zhang 001; Yingjie Tian 001; Yong Shi 001 (Expert Syst. Appl., 2011)

Credit risk evaluation with kernel-based affine subspace nearest points learning method. - Xiaofei Zhou; Wenhan Jiang; Yong Shi 001; Yingjie Tian 001 (Expert Syst. Appl., 2011)

A group of knowledge-incorporated multiple criteria linear programming classifiers. - Dongling Zhang; Yingjie Tian 001; Yong Shi 001 (J. Comput. Appl. Math., 2011)

AUC Maximizing Support Vector Machines with Feature Selection. - Yingjie Tian 001; Yong Shi 001; Xiaojun Chen 001; Wenjing Chen (ICCS, 2011)

Optimization Based Data Mining: Theory and Applications. - Yong Shi 001; Yingjie Tian 001; Gang Kou; Yi Peng 001; Jianping Li 001 (Springer, 2011)

Efficient Implementation of Nonparallel Hyperplanes Classifier. - Xu Chan Ju; Ying Jie Tian 001 (Web Intelligence/IAT Workshops, 2012)

A Simple and Fast Multi-instance Classification via Support Vector Machine. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (Web Intelligence/IAT Workshops, 2012)

Regular Multiple Criteria Linear Programming for Semi-supervised Classification. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (ICDM Workshops, 2012)

Fast Localized Twin SVM. - Yanan Wang; Yingjie Tian 001 (ICNC, 2012)

Convex Decomposition Based Cluster Labeling Method for Support Vector Clustering. - Yuan Ping; Yingjie Tian 001; Yajian Zhou; Yixian Yang (J. Comput. Sci. Technol., 2012)

Laplacian twin support vector machine for semi-supervised classification. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (Neural Networks, 2012)

Twin support vector machine with Universum data. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (Neural Networks, 2012)

Knowledge-based Support Vector Machine Classifiers via Nearest Points. - Xuchan Ju; Yingjie Tian 001 (ICCS, 2012)

Regularized Multiple Criteria Linear Programming via Linear Programming. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (ICCS, 2012)

Cost-Sensitive Support Vector Machine for Semi-Supervised Learning. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001; Xiaodan Yu (ICCS, 2013)

Local and Global Regularized Twin SVM. - Yanan Wang; Xi Zhao; Yingjie Tian 001 (ICCS, 2013)

How to Improve the Quality of Pedestrian Detection Using the Priori Knowledge. - Zhiquan Qi; Yingjie Tian 001; Xiaodan Yu; Yong Shi 001 (ICDM Workshops, 2013)

Nonparallel Support Vector Machines for Multiple-Instance Learning. - Qin Zhang 011; Yingjie Tian 001; Dalian Liu (ITQM, 2013)

Efficient sparse least squares support vector machines for pattern classification. - Yingjie Tian 001; Xuchan Ju; Zhiquan Qi; Yong Shi 001 (Comput. Math. Appl., 2013)

Structural twin support vector machine for classification. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (Knowl. Based Syst., 2013)

Efficient railway tracks detection and turnouts recognition method using HOG features. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (Neural Comput. Appl., 2013)

Multi-instance classification based on regularized multiple criteria linear programming. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (Neural Comput. Appl., 2013)

Robust twin support vector machine for pattern classification. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (Pattern Recognit., 2013)

Deep Twin Support Vector Machine. - Dewei Li 002; Yingjie Tian 001; Honggui Xu (ICDM Workshops, 2014)

Biased Support Vector Machine with Self-Constructed Universum for PU Learning. - Ying Zhang; Yingjie Tian 001; Zhiquan Qi (ICDM Workshops, 2014)

Nonparallel hyperplane support vector machine for PU learning. - Ying Zhang; Xuchan Ju; Yingjie Tian 001 (ICNC, 2014)

Support Vector Regression and Time Series Analysis for the Forecasting of Bayannur's Total Water Requirement. - Xuchan Ju; Manjin Cheng; Yuhong Xia; Fuqiang Quo; Yingjie Tian 001 (ITQM, 2014)

Parallel Regularized Multiple-criteria Linear Programming. - Zhiquan Qi; Vassil Alexandrov 001; Yong Shi 001; Yingjie Tian 001 (ITQM, 2014)

Correlation Analysis for Multiple-dimensional Properties of Water Recourses. - Qin Zhang 011; Manjin Cheng; Yuhong Xia; Fuqiang Guo; Yingjie Tian 001 (ITQM, 2014)

A multi-instance learning algorithm based on nonparallel classifier. - Zhiquan Qi; Yingjie Tian 001; Xiaodan Yu; Yong Shi 001 (Appl. Math. Comput., 2014)

Organizing and Querying the Big Sensing Data with Event-Linked Network in the Internet of Things. - Yunchuan Sun; Hongli Yan; Junsheng Zhang; Ye Xia 005; Shenling Wang 001; Rongfang Bie; Yingjie Tian 001 (Int. J. Distributed Sens. Networks, 2014)

A new classification model using privileged information and its application. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (Neurocomputing, 2014)

Large-scale linear nonparallel support vector machine solver. - Yingjie Tian 001; Qin Zhang 011; Yuan Ping (Neurocomputing, 2014)

A nonparallel support vector machine for a classification problem with universum learning. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (J. Comput. Appl. Math., 2014)

Regularized multiple-criteria linear programming with universum and its application. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (Neural Comput. Appl., 2014)

Efficient sparse nonparallel support vector machines for classification. - Yingjie Tian 001; Xuchan Ju; Zhiquan Qi (Neural Comput. Appl., 2014)

ν-Nonparallel support vector machine for pattern classification. - Yingjie Tian 001; Qin Zhang 011; Dalian Liu (Neural Comput. Appl., 2014)

Large-scale linear nonparallel support vector machine solver. - Yingjie Tian 001; Yuan Ping (Neural Networks, 2014)

Self-Universum support vector machine. - Dalian Liu; Yingjie Tian 001; Rongfang Bie; Yong Shi 001 (Pers. Ubiquitous Comput., 2014)

Nonparallel Support Vector Machines for Pattern Classification. - Yingjie Tian 001; Zhiquan Qi; Xuchan Ju; Yong Shi 001; Xiaohui Liu 001 (IEEE Trans. Cybern., 2014)

Connected bit minwise hashing for large-scale linear SVM. - Jingjing Tang; Yingjie Tian 001; Dalian Liu (FSKD, 2015)

Nonparallel Hyperplanes Support Vector Machine for Multi-class Classification. - Xuchan Ju; Yingjie Tian 001; Dalian Liu; Zhiquan Qi (ICCS, 2015)

Pedestrian Detection Using Privileged Information. - Zhiquan Qi; Yingjie Tian 001; Lingfeng Niu; Fan Meng; Limeng Cui; Yong Shi 001 (ICDM Workshops, 2015)

Alternating Direction Method of Multipliers for Nonparallel Support Vector Machines. - Xin Shen 003; Lingfeng Niu; Yingjie Tian 001; Yong Shi 001 (ICDM Workshops, 2015)

Multi-Dimensional Critical Control of Water Resource in Bayannur. - Xuchan Ju; Yingjie Tian 001; Dalian Liu; Manjin Cheng; Yuhong Xia; Fuqiang Quo (ITQM, 2015)

f-Fractional Bit Minwise Hashing for Large-Scale Learning. - Jingjing Tang; Yingjie Tian 001 (WI-IAT (3), 2015)

Big Data and Knowledge Extraction for Cyber-Physical Systems. - Xiuzhen Cheng 001; Yunchuan Sun; Antonio J. Jara; Houbing Song; Yingjie Tian 001 (Int. J. Distributed Sens. Networks, 2015)

An Extension Collaborative Innovation Model in the Context of Big Data. - Xingsen Li; Yingjie Tian 001; Florentin Smarandache; Rajan Alex (Int. J. Inf. Technol. Decis. Mak., 2015)

Twin support vector machine in linear programs. - Dewei Li 002; Yingjie Tian 001 (J. Comput. Sci., 2015)

Fast and scalable support vector clustering for large-scale data analysis. - Yuan Ping; Yun Feng Chang; Yajian Zhou; Yingjie Tian 001; Yixian Yang; Zhili Zhang (Knowl. Inf. Syst., 2015)

Ramp loss nonparallel support vector machine for pattern classification. - Dalian Liu; Yong Shi 001; Yingjie Tian 001 (Knowl. Based Syst., 2015)

Multi-kernel multi-criteria optimization classifier with fuzzification and penalty factors for predicting biological activity. - Zhiwang Zhang; Guangxia Gao; Yingjie Tian 001 (Knowl. Based Syst., 2015)

Semi-supervised classification with privileged information. - Zhiquan Qi; Yingjie Tian 001; Lingfeng Niu; Bo Wang 049 (Int. J. Mach. Learn. Cybern., 2015)

Successive Overrelaxation for Laplacian Support Vector Machine. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Ramp Loss Linear Programming Nonparallel Support Vector Machine. - Dalian Liu; Dandan Chen; Yong Shi 001; Yingjie Tian 001 (ICCS, 2016)

Unsupervised Feature Learning from Time Series. - Qin Zhang 011; Jia Wu 001; Hong Yang 003; Yingjie Tian 001; Chengqi Zhang (IJCAI, 2016)

v-Structural Nonparallel Support Vector Machine for Pattern Classification. - Dandan Chen; Yingjie Tian 001 (WI Workshops, 2016)

Multi-view metric learning for multi-instance image classification. - Dewei Li 002; Yingjie Tian 001 (CoRR, 2016)

PIGMIL: Positive Instance Detection via Graph Updating for Multiple Instance Learning. - Dongkuan Xu; Jia Wu 001; Wei Zhang 098; Yingjie Tian 001 (CoRR, 2016)

An effective intrusion detection framework based on MCLP/SVM optimized by time-varying chaos particle swarm optimization. - Seyed Mojtaba Hosseini Bamakan; Huadong Wang; Yingjie Tian 001; Yong Shi 001 (Neurocomputing, 2016)

Semi-supervised support vector classification with self-constructed Universum. - Yingjie Tian 001; Ying Zhang; Dalian Liu (Neurocomputing, 2016)

Two-phase multi-kernel LP-SVR for feature sparsification and forecasting. - Zhiwang Zhang; Guangxia Gao; Yingjie Tian 001; Jue Yue (Neurocomputing, 2016)

Ramp loss least squares support vector machine. - Dalian Liu; Yong Shi 001; Yingjie Tian 001; Xiankai Huang (J. Comput. Sci., 2016)

When Ensemble Learning Meets Deep Learning: a New Deep Support Vector Machine for Classification. - Zhiquan Qi; Bo Wang 049; Yingjie Tian 001; Peng Zhang 001 (Knowl. Based Syst., 2016)

A divide-and-combine method for large scale nonparallel support vector machines. - Yingjie Tian 001; Xuchan Ju; Yong Shi 001 (Neural Networks, 2016)

Structural nonparallel support vector machine for pattern recognition. - Dandan Chen; Yingjie Tian 001; Xiaohui Liu 001 (Pattern Recognit., 2016)

Multi-view deep metric learning for image classification. - Dewei Li 002; Jingjing Tang; Yingjie Tian 001; Xuchan Ju (ICIP, 2017)

Metric learning for multi-instance classification with collapsed bags. - Dewei Li 002; Dongkuan Xu; Jingjing Tang; Yingjie Tian 001 (IJCNN, 2017)

Stochastic gradient descent for large-scale linear nonparallel SVM. - Jingjing Tang; Yingjie Tian 001; Guoqiang Wu; Dewei Li 002 (WI, 2017)

A multi-kernel framework with nonparallel support vector machine. - Jingjing Tang; Yingjie Tian 001 (Neurocomputing, 2017)

Global and local metric learning via eigenvectors. - Dewei Li 002; Yingjie Tian 001 (Knowl. Based Syst., 2017)

FRSVC: Towards making support vector clustering consume less. - Yuan Ping; Yingjie Tian 001; Chun Guo 004; Baocang Wang; Yuehua Yang (Pattern Recognit., 2017)

Support vector machine classifier with truncated pinball loss. - Xin Shen 003; Lingfeng Niu; Zhiquan Qi; Yingjie Tian 001 (Pattern Recognit., 2017)

SALE: Self-adaptive LSH encoding for multi-instance learning. - Dongkuan Xu; Jia Wu 001; Dewei Li 002; Yingjie Tian 001; Xingquan Zhu 001; Xindong Wu 001 (Pattern Recognit., 2017)

Nonsmooth Penalized Clustering via ℓp Regularized Sparse Regression. - Lingfeng Niu; Ruizhi Zhou; Yingjie Tian 001; Zhiquan Qi; Peng Zhang 001 (IEEE Trans. Cybern., 2017)

Nonparallel Support Vector Ordinal Regression. - Huadong Wang; Yong Shi 001; Lingfeng Niu; Yingjie Tian 001 (IEEE Trans. Cybern., 2017)

A New Method for Structured Learning with Privileged Information. - Shiding Sun; Chunhua Zhang; Yingjie Tian 001 (ICCS (2), 2018)

Privileged Multi-Target Support Vector Regression. - Guoqiang Wu; Yingjie Tian 001; Dalian Liu (ICPR, 2018)

Large-Scale Linear NPSVM via One Permutation Hashing. - Jingjing Tang; Yingjie Tian 001; Dalian Liu (IJCNN, 2018)

Online Robust Lagrangian Support Vector Machine against Adversarial Attack. - Yue Ma 005; Yiwei He; Yingjie Tian 001 (ITQM, 2018)

Unsupervised Domain Adaptation Using Exemplar-SVMs with Adaptation Regularization. - Yiwei He; Yingjie Tian 001; Jingjing Tang; Yue Ma 005 (Complex., 2018)

Ramp loss one-class support vector machine; A robust and effective approach to anomaly detection problems. - Yingjie Tian 001; Mahboubeh Mirzabagheri; Seyed Mojtaba Hosseini Bamakan; Huadong Wang; Qiang Qu (Neurocomputing, 2018)

A unified framework implementing linear binary relevance for multi-label learning. - Guoqiang Wu; Yingjie Tian 001; Chunhua Zhang (Neurocomputing, 2018)

Multi-view learning based on nonparallel support vector machine. - Jingjing Tang; Dewei Li 002; Yingjie Tian 001; Dalian Liu (Knowl. Based Syst., 2018)

Ramp-loss nonparallel support vector regression: Robust, sparse and scalable approximation. - Long Tang; Yingjie Tian 001; Chunyan Yang; Panos M. Pardalos (Knowl. Based Syst., 2018)

A divide-and-conquer method for large scale ν-nonparallel support vector machines. - Xuchan Ju; Yingjie Tian 001 (Neural Comput. Appl., 2018)

Improved least squares support vector machine based on metric learning. - Dewei Li 002; Yingjie Tian 001 (Neural Comput. Appl., 2018)

Investor sentiment identification based on the universum SVM. - Wen Long; Ye-ran Tang; Ying-jie Tian 001 (Neural Comput. Appl., 2018)

Pedestrian detection based on the privileged information. - Fan Meng; Zhiquan Qi; Yingjie Tian 001; Lingfeng Niu (Neural Comput. Appl., 2018)

Survey and experimental study on metric learning methods. - Dewei Li 002; Yingjie Tian 001 (Neural Networks, 2018)

Improved multi-view privileged support vector machine. - Jingjing Tang; Yingjie Tian 001; Xiaohui Liu 001; Dewei Li 002; Jia Lv; Gang Kou (Neural Networks, 2018)

Nonparallel support vector regression model and its SMO-type solver. - Long Tang; Yingjie Tian 001; Chunyan Yang (Neural Networks, 2018)

Cost-sensitive multi-label learning with positive and negative label pairwise correlations. - Guoqiang Wu; Yingjie Tian 001; Dalian Liu (Neural Networks, 2018)

Large-scale linear nonparallel SVMs. - Dalian Liu; Dewei Li 002; Yong Shi 001; Yingjie Tian 001 (Soft Comput., 2018)

Adaboost-LLP: A Boosting Method for Learning With Label Proportions. - Zhiquan Qi; Fan Meng; Yingjie Tian 001; Lingfeng Niu; Yong Shi 001; Peng Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Multiview Privileged Support Vector Machines. - Jingjing Tang; Yingjie Tian 001; Peng Zhang 001; Xiaohui Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Factor Integration Based on Neural Networks for Factor Investing. - Zhichen Lu; Wen Long; Jiashuai Zhang; Yingjie Tian 001 (ICCS (3), 2019)

Multi-view SVM Classification with Feature Selection. - Yuting Niu; Yuan Shang; Yingjie Tian 001 (ITQM, 2019)

Learning from Label Proportions with Generative Adversarial Networks. - Jiabin Liu; Bo Wang 049; Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (NeurIPS, 2019)

LINEX Support Vector Machine for Large-Scale Classification. - Yue Ma 005; Qin Zhang 011; Dewei Li 002; Yingjie Tian 001 (IEEE Access, 2019)

Adaptive FH-SVM for Imbalanced Classification. - Qi Wang; Yingjie Tian 001; Dalian Liu (IEEE Access, 2019)

IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments. - Jia Wu 001; Shirui Pan; Junjun Jiang; Zhihua Cai; Bo Du 001; Yingjie Tian 001; Shuaiqiang Wang; Haishuai Wang (IEEE Access, 2019)

Structured Output Prediction Using Privileged Information. - Chunhua Zhang; Shiding Sun; Yingjie Tian 001; Zeyuan Wang (IEEE Access, 2019)

Bi-sparse optimization-based least squares regression. - Zhiwang Zhang; Jing He 004; Guangxia Gao; Yingjie Tian 001 (Appl. Soft Comput., 2019)

A new graphic kernel method of stock price trend prediction based on financial news semantic and structural similarity. - Wen Long; Linqiu Song; Ying-jie Tian 001 (Expert Syst. Appl., 2019)

Multi-view transfer learning with privileged learning framework. - Yiwei He; Yingjie Tian 001; Dalian Liu (Neurocomputing, 2019)

Multi-task feature selection with sparse regularization to extract common and task-specific features. - Jiashuai Zhang; Jianyu Miao; Kun Zhao; Yingjie Tian 001 (Neurocomputing, 2019)

Coupling privileged kernel method for multi-view learning. - Jingjing Tang; Yingjie Tian 001; Dalian Liu; Gang Kou (Inf. Sci., 2019)

A novel perspective on multiclass classification: Regular simplex support vector machine. - Long Tang; Yingjie Tian 001; Panos M. Pardalos (Inf. Sci., 2019)

Large-scale structural learning and predicting via hashing approximation. - Dandan Chen; Yingjie Tian 001 (Neural Comput. Appl., 2019)

LGND: a new method for multi-class novelty detection. - Jingjing Tang; Yingjie Tian 001; Xiaohui Liu 001 (Neural Comput. Appl., 2019)

Sparse multi-criteria optimization classifier for credit risk evaluation. - Zhiwang Zhang; Jing He 004; Guangxia Gao; Yingjie Tian 001 (Soft Comput., 2019)

Incremental Cost-Sensitive Support Vector Machine With Linear-Exponential Loss. - Yue Ma 005; Kun Zhao; Qi Wang; Yingjie Tian 001 (IEEE Access, 2020)

An interpretable regression approach based on bi-sparse optimization. - Zhiwang Zhang; Guangxia Gao; Tao Yao; Jing He 004; Yingjie Tian 001 (Appl. Intell., 2020)

Structural improved regular simplex support vector machine for multiclass classification. - Long Tang; Yingjie Tian 001; Wenjun Li; Panos M. Pardalos (Appl. Soft Comput., 2020)

Concatenated Attention Neural Network for Image Restoration. - Yingjie Tian 001; Yiqi Wang 004; LinRui Yang; Zhiquan Qi (CoRR, 2020)

Sparse multiple instance learning with non-convex penalty. - Yuqi Zhang; Haibin Zhang; Yingjie Tian 001 (Neurocomputing, 2020)

A non-convex semi-supervised approach to opinion spam detection by ramp-one class SVM. - Yingjie Tian 001; Mahboubeh Mirzabagheri; Peyman Tirandazi; Seyed Mojtaba Hosseini Bamakan (Inf. Process. Manag., 2020)

A descriptive framework for the field of deep learning applications in medical images. - Yingjie Tian 001; Saiji Fu (Knowl. Based Syst., 2020)

Deep learning from label proportions with labeled samples. - Yong Shi 001; Jiabin Liu; Bo Wang 049; Zhiquan Qi; Yingjie Tian 001 (Neural Networks, 2020)

Joint Ranking SVM and Binary Relevance with robust Low-rank learning for multi-label classification. - Guoqiang Wu; Ruobing Zheng; Yingjie Tian 001; Dalian Liu (Neural Networks, 2020)

Analysis of slump and surge phenomenon in Chinese stock market based on sequence alignment method. - Wen Long; Linqiu Song; Ying-jie Tian 001; Wenning Yang (Soft Comput., 2020)

CANet: Concatenated Attention Neural Network for Image Restoration. - Yingjie Tian 001; Yiqi Wang 004; LinRui Yang; Zhiquan Qi (IEEE Signal Process. Lett., 2020)

Parallel RMCLP Classification Algorithm and Its Application on the Medical Data. - Zhiquan Qi; Yingjie Tian 001; Yong Shi 001; Vassil Alexandrov 001 (IEEE Trans. Cloud Comput., 2020)

RPD-GAN: Learning to Draw Realistic Paintings With Generative Adversarial Network. - Xiang Gao; Yingjie Tian 001; Zhiquan Qi (IEEE Trans. Image Process., 2020)

Multi-view Feature Augmentation with Adaptive Class Activation Mapping. - Xiang Gao; Yingjie Tian 001; Zhiquan Qi (IJCAI, 2021)

Two-stage Training for Learning from Label Proportions. - Jiabin Liu; Bo Wang 049; Xin Shen 003; Zhiquan Qi; Yingjie Tian 001 (IJCAI, 2021)

Sparse Multiple Instance Learning for Elderly People Balance Ability. - Yuqi Zhang; Duo Su; Xiaoxi Zhao; Yingjie Tian 001 (ITQM, 2021)

CarNet: A Lightweight and Efficient Encoder-Decoder Architecture for High-quality Road Crack Detection. - Kai Li 045; Yingjie Tian 001; Zhiquan Qi (CoRR, 2021)

Coupling loss and self-used privileged information guided multi-view transfer learning. - Jingjing Tang; Yiwei He; Yingjie Tian 001; Dalian Liu; Gang Kou; Fawaz E. Alsaadi (Inf. Sci., 2021)

Incomplete-view oriented kernel learning method with generalization error bound. - Yingjie Tian 001; Saiji Fu; Jingjing Tang (Inf. Sci., 2021)

Valley-loss regular simplex support vector machine for robust multiclass classification. - Long Tang; Yingjie Tian 001; Wenjun Li; Panos M. Pardalos (Knowl. Based Syst., 2021)

Multi-view learning methods with the LINEX loss for pattern classification. - Jingjing Tang; Weiqi Xu; Jiahui Li; Yingjie Tian 001; Shan Xu (Knowl. Based Syst., 2021)

Robust cost-sensitive kernel method with Blinex loss and its applications in credit risk evaluation. - Jingjing Tang; Jiahui Li; Weiqi Xu; Yingjie Tian 001; Xuchan Ju; Jie Zhang (Neural Networks, 2021)

Attention Transfer Network for Nature Image Matting. - Fenfen Zhou; Yingjie Tian 001; Zhiquan Qi (IEEE Trans. Circuits Syst. Video Technol., 2021)

Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization. - Xiang Gao; Yuqi Zhang; Yingjie Tian 001 (ICML, 2022)

Data Boundary and Data Pricing Based on the Shapley Value. - Yingjie Tian 001; Yurong Ding; Saiji Fu; Dalian Liu (IEEE Access, 2022)

Multi-view Feature Augmentation with Adaptive Class Activation Mapping. - Xiang Gao; Yingjie Tian 001 (CoRR, 2022)

An uncertainty-oriented cost-sensitive credit scoring framework with multi-objective feature selection. - Yiqiong Wu; Wei Huang; Yingjie Tian 001; Qing Zhu; Lean Yu (Electron. Commer. Res. Appl., 2022)

Image classification with multi-view multi-instance metric learning. - Jingjing Tang; Dewei Li 002; Yingjie Tian 001 (Expert Syst. Appl., 2022)

Recent advances on loss functions in deep learning for computer vision. - Yingjie Tian 001; Duo Su; Stanislao Lauria; Xiaohui Liu 001 (Neurocomputing, 2022)

Non-tumorous facial pigmentation classification based on multi-view convolutional neural network with attention mechanism. - Yingjie Tian 001; Shiding Sun; Zhiquan Qi; Ying Liu; Zeyuan Wang (Neurocomputing, 2022)

Meta-learning approaches for learning-to-learn in deep learning: A survey. - Yingjie Tian 001; Xiaoxi Zhao; Wei Huang (Neurocomputing, 2022)

A comprehensive survey on regularization strategies in machine learning. - Yingjie Tian 001; Yuqi Zhang (Inf. Fusion, 2022)

Cost sensitive ν-support vector machine with LINEX loss. - Saiji Fu; Xiaotong Yu; Yingjie Tian 001 (Inf. Process. Manag., 2022)

Asymmetric and robust loss function driven least squares support vector machine. - Xiaoxi Zhao; Saiji Fu; Yingjie Tian 001; Kun Zhao (Knowl. Based Syst., 2022)

Multi-view Teacher-Student Network. - Yingjie Tian 001; Shiding Sun; Jingjing Tang (Neural Networks, 2022)

SELF-LLP: Self-supervised learning from label proportions with self-ensemble. - Jiabin Liu; Zhiquan Qi; Bo Wang 049; Yingjie Tian 001; Yong Shi 001 (Pattern Recognit., 2022)

Partial Domain Adaptation on Semantic Segmentation. - Yingjie Tian 001; Siyu Zhu 003 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Group Recommendation Based on Heterogeneous Graph Algorithm for EBSNs. - Yue Wu; Wayne Wei Huang; Lean Yu; Yingjie Tian 001 (IEEE Access, 2023)

Two-stage training strategy combined with neural network for segmentation of internal mammary artery graft. - Shiding Sun; Yingjie Tian 001; Zhiquan Qi; Yang Wu; Weizhi Gao; Yahe Wu (Biomed. Signal Process. Control., 2023)

Kernel methods with asymmetric and robust loss function. - Yingjie Tian 001; Xiaoxi Zhao; Saiji Fu (Expert Syst. Appl., 2023)

Robust multi-view learning with the bounded LINEX loss. - Jingjing Tang; Hao He; Saiji Fu; Yingjie Tian 001; Gang Kou; Shan Xu (Neurocomputing, 2023)

Shape robustness in style enhanced cross domain semantic segmentation. - Siyu Zhu 003; Yingjie Tian 001 (Pattern Recognit., 2023)

Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function. - Kai Li 045; Bo Wang 049; Yingjie Tian 001; Zhiquan Qi (IEEE Trans. Cybern., 2023)

GAN-CL: Generative Adversarial Networks for Learning From Complementary Labels. - Jiabin Liu; Hanyuan Hang; Bo Wang 049; Biao Li; Huadong Wang; Yingjie Tian 001; Yong Shi 001 (IEEE Trans. Cybern., 2023)

Cost-sensitive learning with modified Stein loss function. - Saiji Fu; Yingjie Tian 001; Jingjing Tang; Xiaohui Liu 001 (Neurocomputing, 2023)

Improving long-tailed classification by disentangled variance transfer. - Yingjie Tian 001; Weizhi Gao; Qin Zhang 011; Pu Sun; Dongkuan Xu (Internet Things, 2023)

Partial label learning: Taxonomy, analysis and outlook. - Yingjie Tian 001; Xiaotong Yu; Saiji Fu (Neural Networks, 2023)

CSAST: Content self-supervised and style contrastive learning for arbitrary style transfer. - Yuqi Zhang; Yingjie Tian 001; Junjie Hou (Neural Networks, 2023)

Analysis of investment effect in Xinjiang from the perspective of nontraditional security. - Ming Chen; Yuqi Zhang; Saiji Fu; Yingjie Tian 001 (Pers. Ubiquitous Comput., 2023)

A simple and reliable instance selection for fast training support vector machine: Valid Border Recognition. - Long Tang; Ying-Jie Tian 001; Xiaowei Wang; Panos M. Pardalos (Neural Networks, 2023)

Multi-view prototype-based disambiguation for partial label learning. - Shiding Sun; Xiaotong Yu; Yingjie Tian 001 (Pattern Recognit., 2023)

Multi-view cost-sensitive kernel learning for imbalanced classification problem. - Jingjing Tang; Zhaojie Hou; Xiaotong Yu; Saiji Fu; Yingjie Tian 001 (Neurocomputing, 2023)

Multi-view side information-incorporated tensor completion. - Yingjie Tian 001; Xiaotong Yu; Saiji Fu (Numer. Linear Algebra Appl., 2023)

Causal multi-label learning for image classification. - Yingjie Tian 001; Kunlong Bai; Xiaotong Yu; Siyu Zhu 003 (Neural Networks, 2023)

Robust regression under the general framework of bounded loss functions. - Saiji Fu; Yingjie Tian 001; Long Tang (Eur. J. Oper. Res., 2023)

Coarse-grained privileged learning for classification. - Saiji Fu; Xiaoxiao Wang; Yingjie Tian 001; Tianyi Dong; Jingjing Tang; Jicai Li (Inf. Process. Manag., 2023)

LLP-GAN: A GAN-Based Algorithm for Learning From Label Proportions. - Jiabin Liu; Bo Wang 049; Hanyuan Hang; Huadong Wang; Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes. - Haoran Jiang; Zhihao Sun; Yingjie Tian 001 (AAAI, 2024)

D4M: Dataset Distillation via Disentangled Diffusion Model. - Duo Su; Junjie Hou; Weizhi Gao; Yingjie Tian 001; Bowen Tang (CVPR, 2024)

Incomplete multi-view learning: Review, analysis, and prospects. - Jingjing Tang; Qingqing Yi; Saiji Fu; Ying-Jie Tian 001 (Appl. Soft Comput., 2024)

Instance-wise multi-view visual fusion for zero-shot learning. - Long Tang; Jingtao Zhao; Yingjie Tian 001; Changhua Yao; Panos M. Pardalos (Appl. Soft Comput., 2024)

Credit risk assessment method driven by asymmetric loss function. - Xiaoxi Zhao; Yingjie Tian 001 (Appl. Soft Comput., 2024)

Draw Like an Artist: Complex Scene Generation with Diffusion Model via Composition, Painting, and Retouching. - Minghao Liu; Le Zhang; Yingjie Tian 001; Xiaochao Qu; Luoqi Liu; Ting Liu 018 (CoRR, 2024)

Universum driven cost-sensitive learning method with asymmetric loss function. - Dalian Liu; Saiji Fu; Ying-Jie Tian 001; Jingjing Tang (Eng. Appl. Artif. Intell., 2024)

Explicit unsupervised feature selection based on structured graph and locally linear embedding. - Jianyu Miao; Jingjing Zhao; Tiejun Yang; Chao Fan; Yingjie Tian 001; Yong Shi 001; Mingliang Xu (Expert Syst. Appl., 2024)

Multi-step ahead prediction of carbon price movement using time-series privileged information. - Yingjie Tian 001; Haonan Wen; Saiji Fu (Expert Syst. Appl., 2024)

Advancing robust regression: Addressing asymmetric noise with the BLINEX loss function. - Jingjing Tang; Bangxin Liu; Saiji Fu; Ying-jie Tian 001; Gang Kou (Inf. Fusion, 2024)

MVQS: Robust multi-view instance-level cost-sensitive learning method for imbalanced data classification. - Zhaojie Hou; Jingjing Tang; Yan Li; Saiji Fu; Yingjie Tian 001 (Inf. Sci., 2024)

Robust two-stage instance-level cost-sensitive learning method for class imbalance problem. - Jingjing Tang; Yan Li; Zhaojie Hou; Saiji Fu; Yingjie Tian 001 (Knowl. Based Syst., 2024)

Robust Pcomp classification using multi-view pairwise data with positive confidence priority. - Long Tang; Ziyun Zhou; Ying-Jie Tian 001; Panos M. Pardalos (Knowl. Based Syst., 2024)

Generalized robust loss functions for machine learning. - Saiji Fu; Xiaoxiao Wang; Jingjing Tang; Shulin Lan; Ying-Jie Tian 001 (Neural Networks, 2024)

Decoupled graph knowledge distillation: A general logits-based method for learning MLPs on graphs. - Yingjie Tian 001; Shaokai Xu; Muyang Li (Neural Networks, 2024)

Weakly privileged learning with knowledge extraction. - Saiji Fu; Tianyi Dong; Zhaoxin Wang; Yingjie Tian 001 (Pattern Recognit., 2024)

Decoupled representation for multi-view learning. - Shiding Sun; Bo Wang 049; Yingjie Tian 001 (Pattern Recognit., 2024)

Exploiting multi-scale contextual prompt learning for zero-shot semantic segmentation. - Yiqi Wang; Yingjie Tian 001 (Displays, 2024)

Adaptive robust loss for landmark detection. - Yingjie Tian 001; Duo Su; Shilin Li (Inf. Fusion, 2024)

Artificial cheerleading in IEO: Marketing campaign or pump and dump scheme. - Yingjie Tian 001; Yuhao Xie (Inf. Process. Manag., 2024)

ComCo: Complementary supervised contrastive learning for complementary label learning. - Haoran Jiang; Zhihao Sun; Yingjie Tian 001 (Neural Networks, 2024)

Rethinking Lightweight Convolutional Neural Networks for Efficient and High-Quality Pavement Crack Detection. - Kai Li 045; Jie Yang; Siwei Ma; Bo Wang 049; Shanshe Wang; Yingjie Tian 001; Zhiquan Qi (IEEE Trans. Intell. Transp. Syst., 2024)

Self-distillation and self-supervision for partial label learning. - Xiaotong Yu; Shiding Sun; Yingjie Tian 001 (Pattern Recognit., 2024)

Deep image matting with cross-layer contextual information propagation. - Fenfen Zhou; Yingjie Tian 001; Siyu Zhu 003 (Neural Comput. Appl., 2024)

End-to-End Multitask Learning With Vision Transformer. - Yingjie Tian 001; Kunlong Bai (IEEE Trans. Neural Networks Learn. Syst., 2024)

Robust sparse orthogonal basis clustering for unsupervised feature selection. - Jianyu Miao; Jingjing Zhao; Tiejun Yang; Yingjie Tian 001; Yong Shi 001; Mingliang Xu (Expert Syst. Appl., 2025)

Class-view graph knowledge distillation: A new idea for learning MLPs on graphs. - Ying-Jie Tian 001; Shaokai Xu; Muyang Li (Neurocomputing, 2025)

Self-improved multi-view interactive knowledge transfer. - Saiji Fu; Haonan Wen; Xiaoxiao Wang; Yingjie Tian 001 (Inf. Fusion, 2025)

Recent advances in complementary label learning. - Yingjie Tian 001; Haoran Jiang (Inf. Fusion, 2025)

Robustness and orthogonality: Time series forecasting via wavelets. - Yingjie Tian 001; Siyu Zhao; Xingyu Zhang (Inf. Sci., 2025)

Self-adaptive label discovery and multi-view fusion for complementary label learning. - Long Tang; Pengfei Yan; Yingjie Tian 001; Panos M. Pardalos (Neural Networks, 2025)

Robust one-class support vector machine. - Xiaoxi Zhao; Yingjie Tian 001; Chonghua Zheng (Neural Networks, 2025)

Complementary label learning with multi-view data and a semi-supervised labeling mechanism. - Long Tang; Yelei Liu; Yingjie Tian 001; Panos M. Pardalos (Pattern Recognit., 2025)

Sample selection for noisy partial label learning with interactive contrastive learning. - Xiaotong Yu; Shiding Sun; Yingjie Tian 001 (Pattern Recognit., 2025)

A Comprehensive Survey on Subspace Clustering: Methods and Applications. - Jianyu Miao; Xiaochan Zhang; Tiejun Yang; Chao Fan; Yingjie Tian 001; Yong Shi 001; Mingliang Xu (Artif. Intell. Rev., 2025)