Yingjie Tian

发表

A Regularized Multiple Criteria Linear Program for Classification

Yong Shi, Peng Zhang, Yingjie Tian, 2007 .

ν-Nonparallel support vector machine for pattern classification

Yong Shi, Xiaohui Liu, Zhiquan Qi, 2014, Neural Computing and Applications.

Multi-Dimensional Critical Control of Water Resource in Bayannur

Yingjie Tian, Xuchan Ju, Dalian Liu, 2015, ITQM.

Data Science

Philip S. Yu, Yong Shi, Yangyong Zhu, 2015, Lecture Notes in Computer Science.

Large-scale structural learning and predicting via hashing approximation

Yingjie Tian, Dandan Chen, Ying-jie Tian, 2019, Neural Computing and Applications.

Attention-based deep learning for network intrusion detection

Fan Li, Yingjie Tian, Naiwang Guo, 2020, Other Conferences.

Semi-supervised classification with privileged information

Bo Wang, Zhiquan Qi, Lingfeng Niu, 2015, Int. J. Mach. Learn. Cybern..

Unsupervised Feature Learning from Time Series

Chengqi Zhang, Hong Yang, Jia Wu, 2016, IJCAI.

Privileged Multi-Target Support Vector Regression

Guoqiang Wu, Yingjie Tian, Dalian Liu, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Spatio-Temporal Analysis and Forecasting of Distributed PV Systems Diffusion: A Case Study of Shanghai Using a Data-Driven Approach

Ziqiang Zhou, Ping Ling, Yingjie Tian, 2017, IEEE Access.

Nonparallel support vector regression model and its SMO-type solver

Long Tang, Yingjie Tian, Chunyan Yang, 2018, Neural Networks.

Multi-instance classification based on regularized multiple criteria linear programming

Yong Shi, Zhiquan Qi, Yingjie Tian, 2012, Neural Computing and Applications.

Regular Multiple Criteria Linear Programming for Semi-supervised Classification

Yong Shi, Zhiquan Qi, Yingjie Tian, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

Regularized multiple criteria linear programs for classification

Xiaojun Chen, Yong Shi, Peng Zhang, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

Domain Driven Intelligent Knowledge Discovery

Yong Shi, Xingsen Li, Yingjie Tian, 2015 .

A Novel Method of Statistical Line Loss Estimation for Distribution Feeders Based on Feeder Cluster and Modified XGBoost

Shouxiang Wang, Yingjie Tian, Pengfei Dong, 2017 .

Forecasting Model of Mass Incidents in China - An Explorative Research Based on Suppport Vector Machine

Yingjie Tian, Erping Wang, Yiwen Chen, 2009, 2009 International Conference on Business Intelligence and Financial Engineering.

Correlation Analysis for Multiple-dimensional Properties of Water Recourses

Qin Zhang, Yingjie Tian, Manjin Cheng, 2014, ITQM.

Preface: the eighth workshop on optimization based techniques for emerging data mining problems (OEDM)

Heeseok Lee, Jing He, Jianping Li, 2013, ICDM 2013.

Structural nonparallel support vector machine for pattern recognition

Xiaohui Liu, Dandan Chen, Yingjie Tian, 2016, Pattern Recognit..

Intelligent Knowledge Management in Expert Mining in Traditional Chinese Medicines

Yong Shi, Lingling Zhang, Xingsen Li, 2015 .

Optimization Based Data Mining: Theory and Applications

Jianping Li, Yi Peng, Gang Kou, 2011, Advanced Information and Knowledge Processing.

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions

Nai-Yang Deng, Yingjie Tian, Chunhua Zhang, 2012 .

Nonparallel Hyperplanes Support Vector Machine for Multi-class Classification

Zhiquan Qi, Yingjie Tian, Xuchan Ju, 2015, ICCS.

2nd International Conference on Information Technology and Quantitative Management, ITQM 2014 Parallel Regularized Multiple-Criteria Linear Programming

Yong Shi, Zhiquan Qi, Yingjie Tian, 2014 .

Multiview Privileged Support Vector Machines

Jingjing Tang, Xiaohui Liu, Peng Zhang, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Efficient sparse nonparallel support vector machines for classification

Zhiquan Qi, Yingjie Tian, Xuchan Ju, 2014, Neural Computing and Applications.

Power quality analysis of PV system of summer and winter

Yingjie Tian, Aiqiang Pan, Xingang Yang, 2012 .

Semi-supervised learning methods for network intrusion detection

Yingjie Tian, Yunchao Gong, Chuanliang Chen, 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.

Two-phase multi-kernel LP-SVR for feature sparsification and forecasting

Zhiwang Zhang, Yingjie Tian, Guangxia Gao, 2016, Neurocomputing.

LGND: a new method for multi-class novelty detection

Xiaohui Liu, Jingjing Tang, Yingjie Tian, 2017, Neural Computing and Applications.

Generative Adversarial Learning Based Commercial Building Electricity Time Series Prediction

Mingxi Zhang, Yingjie Tian, Naiwang Guo, 2019, 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI).

Bi-sparse optimization-based least squares regression

Jing He, Zhiwang Zhang, Yingjie Tian, 2019, Appl. Soft Comput..

Knowledge-based Support Vector Machine Classifiers via Nearest Points

Yingjie Tian, Xuchan Ju, 2012, ICCS.

Analysis of abnormal line loss introduced by current transformer

Yingjie Tian, Jun Liu, 2006 .

Background harmonic voltage test and evaluation

Yingjie Tian, Aiqiang Pan, Qinchang Gui, 2010, CICED 2010 Proceedings.

Nonparallel Support Vector Machines for Multiple-Instance Learning

Qin Zhang, Yingjie Tian, Dalian Liu, 2013, ITQM.

Big Data and Knowledge Extraction for Cyber-Physical Systems

Xiuzhen Cheng, Houbing Song, Yunchuan Sun, 2015, Int. J. Distributed Sens. Networks.

A novel perspective on multiclass classification: Regular simplex support vector machine

Panos M. Pardalos, Long Tang, Yingjie Tian, 2019, Inf. Sci..

Preface: Some Advanced Techniques in Data Science

Yong Shi, Yingjie Tian, Yong Shi, 2015 .

New Unsupervised Support Vector Machines

Kun Zhao, Nai-Yang Deng, Yingjie Tian, 2009 .

Finding the Hidden Pattern of Credit Card Holder's Churn: A Case of China

Yong Shi, Peng Zhang, Yingjie Tian, 2009, ICCS.

Alternating Direction Method of Multipliers for Nonparallel Support Vector Machines

Yong Shi, Xin Shen, Lingfeng Niu, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

Stochastic gradient descent for large-scale linear nonparallel SVM

Guoqiang Wu, Dewei Li, Jingjing Tang, 2017, WI.

A new classification model using privileged information and its application

Yong Shi, Zhiquan Qi, Yingjie Tian, 2014, Neurocomputing.

PIGMIL: Positive Instance Detection via Graph Updating for Multiple Instance Learning pdf

Wei Zhang, Jia Wu, Yingjie Tian, 2016, ArXiv.

Cost-sensitive multi-label learning with positive and negative label pairwise correlations

Guoqiang Wu, Yingjie Tian, Dalian Liu, 2018, Neural Networks.

Incremental Discovery of Order Dependencies on Tuple Insertions

Weidong Yang, Xu Sun, Xiangdong Zhou, 2019, DASFAA.

SALE: Self-adaptive LSH encoding for multi-instance learning

Xindong Wu, Dewei Li, Jia Wu, 2017, Pattern Recognit..

Ramp loss one-class support vector machine; A robust and effective approach to anomaly detection problems

Seyed Mojtaba Hosseini Bamakan, Qiang Qu, Yingjie Tian, 2018, Neurocomputing.

A divide-and-combine method for large scale nonparallel support vector machines

Yingjie Tian, Yong Shi, Xuchan Ju, 2016, Neural Networks.

Preface: Theory, Methods and Applications in Data Science

Yingjie Tian, 2014 .

Large-scale linear nonparallel SVMs

Yong Shi, Dewei Li, Yingjie Tian, 2018, Soft Comput..

Cost-Sensitive Support Vector Machine for Semi-Supervised Learning

Yong Shi, Zhiquan Qi, Yingjie Tian, 2013, ICCS.

Factor Integration Based on Neural Networks for Factor Investing

Wen Long, Yingjie Tian, Zhichen Lu, 2019, ICCS.

Large-scale linear nonparallel support vector machine solver

Yingjie Tian, Yuan Ping, Ying-jie Tian, 2014, Neurocomputing.

A unified framework implementing linear binary relevance for multi-label learning

Guoqiang Wu, Chunhua Zhang, Yingjie Tian, 2018, Neurocomputing.

Matching Analysis of Output Power and Electricity Load of Typical PV System

Rui Hu, Yingjie Tian, Xudong Xu, 2015, ICIC 2015.

Improved multi-view privileged support vector machine

Gang Kou, Xiaohui Liu, Dewei Li, 2018, Neural Networks.

Connected bit minwise hashing for large-scale linear SVM

Jingjing Tang, Yingjie Tian, Dalian Liu, 2015, 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

Organizing and Querying the Big Sensing Data with Event-Linked Network in the Internet of Things

Junsheng Zhang, Yunchuan Sun, Shenling Wang, 2014, Int. J. Distributed Sens. Networks.

How to Improve the Quality of Pedestrian Detection Using the Priori Knowledge

Yong Shi, Zhiquan Qi, Yingjie Tian, 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.

Multi-view transfer learning with privileged learning framework

Yingjie Tian, Dalian Liu, Yiwei He, 2019, Neurocomputing.

Credit card churn forecasting by logistic regression and decision tree

Yong Shi, Lingling Zhang, Yingjie Tian, 2011, Expert Syst. Appl..

Short-Term Load Forecasting of Buildings Based on Data of Mobile Base Station

Yingjie Tian, Shiming Tian, Yun Su, 2018, 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2).

Prediction of posttranslational modification sites from amino acid sequences with kernel methods.

Yan Xu, Ling-Yun Wu, Yingjie Tian, 2014, Journal of theoretical biology.

f-Fractional Bit Minwise Hashing for Large-Scale Learning

Jingjing Tang, Yingjie Tian, 2015, 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).

Feature Selection for VIP E-Mail Accounts Analysis

Yingjie Tian, Yong Shi, Zhan Zhang, 2007, International Conference on Computational Science.

KCK-Means: A Clustering Method Based on Kernel Canonical Correlation Analysis

Yingjie Tian, Yunchao Gong, Chuanliang Chen, 2008, ICCS.

An effective intrusion detection framework based on MCLP/SVM optimized by time-varying chaos particle swarm optimization

Seyed Mojtaba Hosseini Bamakan, Yingjie Tian, Huadong Wang, 2016, Neurocomputing.

Semi-supervised support vector classification with self-constructed Universum

Ying Zhang, Yingjie Tian, Dalian Liu, 2016, Neurocomputing.

Parallel RMCLP Classification Algorithm and Its Application on the Medical Data

Yong Shi, Zhiquan Qi, Yingjie Tian, 2020, IEEE Transactions on Cloud Computing.

Fast and scalable support vector clustering for large-scale data analysis

Yixian Yang, Zhili Zhang, Yingjie Tian, 2013, Knowledge and Information Systems.

Computational Science – ICCS 2018

Jack Dongarra, Peter M. A. Sloot, Valeria V. Krzhizhanovskaya, 2018, Lecture Notes in Computer Science.

Select Objective Functions for Multiple Criteria Programming Classification

Aihua Li, Peng Zhang, Xingquan Zhu, 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

Recent advances on support vector machines research

Yong Shi, Yingjie Tian, Xiaohui Liu, 2012 .

Multi-view deep metric learning for image classification

Dewei Li, Jingjing Tang, Yingjie Tian, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Knowledge Extraction from Support Vector Machines

Yong Shi, Lingling Zhang, Xingsen Li, 2015 .

A multi-instance learning algorithm based on nonparallel classifier

Yong Shi, Zhiquan Qi, Yingjie Tian, 2014, Appl. Math. Comput..

Twin support vector machine in linear programs

Dewei Li, Yingjie Tian, Ying-jie Tian, 2015, J. Comput. Sci..

FRSVC: Towards making support vector clustering consume less

Yuehua Yang, Baocang Wang, Yingjie Tian, 2017, Pattern Recognit..

Leave-one-out bounds for support vector ordinal regression machine

Yingjie Tian, Zhixia Yang, Naiyang Deng, 2008, Neural Computing and Applications.

Select Representative Samples for Regularized Multiple-Criteria Linear Programming Classification

Yong Shi, Peng Zhang, Zhiwang Zhang, 2008, ICCS.

AUC Maximizing Support Vector Machines with Feature Selection

Xiaojun Chen, Yong Shi, Wenjing Chen, 2011, ICCS.

BASI: a new index to extract built-up areas from high-resolution remote sensing images by visual attention model

Zhenfeng Shao, Yingjie Tian, Xiaole Shen, 2014 .

A New Kernel-Based Classification Algorithm

Yong Shi, Xiaofei Zhou, Wenhan Jiang, 2009, 2009 Ninth IEEE International Conference on Data Mining.

Nonsmooth Penalized Clustering via $\ell _{p}$ Regularized Sparse Regression

Peng Zhang, Zhiquan Qi, Lingfeng Niu, 2017, IEEE Transactions on Cybernetics.

Survey and experimental study on metric learning methods

Dewei Li, Yingjie Tian, Ying-jie Tian, 2018, Neural Networks.

Biased Support Vector Machine with Self-Constructed Universum for PU Learning

Ying Zhang, Zhiquan Qi, Yingjie Tian, 2014, 2014 IEEE International Conference on Data Mining Workshop.

Robust Unsupervised and Semisupervised Bounded C-Support Vector Machines

Takashi Washio, Kun Zhao, Hiroshi Kuwajima, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments

Bo Du, Junjun Jiang, Jia Wu, 2019, IEEE Access.

Intelligent Knowledge and Habitual Domain

Yong Shi, Lingling Zhang, Xingsen Li, 2015 .

Nonparallel hyperplane support vector machine for PU learning

Ying Zhang, Yingjie Tian, Xuchan Ju, 2014, 2014 10th International Conference on Natural Computation (ICNC).

Multi-view metric learning for multi-instance image classification pdf

Dewei Li, Yingjie Tian, Ying-jie Tian, 2016, ArXiv.

Data Mining and Knowledge Management

Yong Shi, Lingling Zhang, Xingsen Li, 2008 .

An Uneven Illumination Correction Algorithm for Optical Remote Sensing Images Covered with Thin Clouds

Qingquan Li, LinLin Shen, Yingjie Tian, 2015, Remote. Sens..

Ramp Loss Linear Programming Nonparallel Support Vector Machine

Yong Shi, Dandan Chen, Yingjie Tian, 2016, ICCS.

A divide-and-conquer method for large scale ν-nonparallel support vector machines

Yingjie Tian, Xuchan Ju, Ying-jie Tian, 2018, Neural Computing and Applications.

Successive Overrelaxation for Laplacian Support Vector Machine

Yong Shi, Zhiquan Qi, Yingjie Tian, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Large-scale linear nonparallel support vector machine solver

Qin Zhang, Yingjie Tian, Yuan Ping, 2014, Neurocomputing.

Unsupervised and Semi-supervised Lagrangian Support Vector Machines with Polyhedral Perturbations

Kun Zhao, Yingjie Tian, Naiyang Deng, 2007, 2009 Third International Symposium on Intelligent Information Technology Application.

Nonparallel Support Vector Ordinal Regression

Lingfeng Niu, Yingjie Tian, Yong Shi, 2017, IEEE Transactions on Cybernetics.

A group of knowledge-incorporated multiple criteria linear programming classifiers

Yong Shi, Yingjie Tian, Dongling Zhang, 2011, J. Comput. Appl. Math..

Research on Comprehensive Evaluation Method of Urban Power Supply Capability Based on Information Fusion

Yingjie Tian, Haining Xie, 2020, 2020 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA).

Ramp-loss nonparallel support vector regression: Robust, sparse and scalable approximation

Panos M. Pardalos, Long Tang, Yingjie Tian, 2018, Knowl. Based Syst..

Global and local metric learning via eigenvectors

Dewei Li, Yingjie Tian, Ying-jie Tian, 2017, Knowl. Based Syst..

A Regularized Multiple Criteria Linear Program for Classification

Yong Shi, Peng Zhang, Yingjie Tian, 2007, ICDM Workshops.

A W-EAP Algorithm for IEC 61850 Protocol against DoS/Replay Attack

Yong Wang, Yingjie Tian, Naiwang Guo, 2020 .

Efficient sparse least squares support vector machines for pattern classification

Yong Shi, Zhiquan Qi, Yingjie Tian, 2013, Comput. Math. Appl..

Multi-kernel multi-criteria optimization classifier with fuzzification and penalty factors for predicting biological activity

Zhiwang Zhang, Yingjie Tian, Guangxia Gao, 2015, Knowl. Based Syst..

Concept Semilattice: Construction and Complexity

Yunchuan Sun, Chengming Qi, Shoumei Cui, 2008, 2008 The 9th International Conference for Young Computer Scientists.

Ramp loss least squares support vector machine

Yong Shi, Yingjie Tian, Dalian Liu, 2016, J. Comput. Sci..

Learning from Label Proportions with Generative Adversarial Networks pdf

Yong Shi, Bo Wang, Jiabin Liu, 2019, NeurIPS.

Spam filtering with several novel bayesian classifiers

Chunhua Zhang, Yingjie Tian, Chuanliang Chen, 2008, 2008 19th International Conference on Pattern Recognition.

Robust twin support vector machine for pattern classification

Yong Shi, Zhiquan Qi, Yingjie Tian, 2013, Pattern Recognit..

Coupling privileged kernel method for multi-view learning

Gang Kou, Jingjing Tang, Yingjie Tian, 2019, Inf. Sci..

Twin support vector machine with Universum data

Yong Shi, Zhiquan Qi, Yingjie Tian, 2012, Neural Networks.

A Simple and Fast Multi-instance Classification via Support Vector Machine

Yong Shi, Zhiquan Qi, Yingjie Tian, 2012, 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology.

Second Order Cone Programming Formulations for Handling Data with Perturbation

Yingjie Tian, Zhixia Yang, Ying-jie Tian, 2010, J. Convergence Inf. Technol..

A multi-kernel framework with nonparallel support vector machine

Jingjing Tang, Yingjie Tian, Ying-jie Tian, 2017, Neurocomputing.

Pedestrian Detection Using Privileged Information

Fan Meng, Yong Shi, Limeng Cui, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

Self-Universum support vector machine

Yong Shi, Rongfang Bie, Yingjie Tian, 2014, Personal and Ubiquitous Computing.

Joint Ranking SVM and Binary Relevance with Robust Low-Rank Learning for Multi-Label Classification

Yingjie Tian, Ruobing Zheng, Guoqiang Wu, 2019, Neural Networks.

Fast Localized Twin SVM

Yanan Wang, Yingjie Tian, Ying-jie Tian, 2012, 2012 8th International Conference on Natural Computation.

v-Structural Nonparallel Support Vector Machine for Pattern Classification

Dandan Chen, Yingjie Tian, Ying-jie Tian, 2016, 2016 IEEE/WIC/ACM International Conference on Web Intelligence Workshops (WIW).

Research on Edge Intelligence-based Security Analysis Method for Power Operation System

Fan Li, Guoping Rong, Yingjie Tian, 2020, 2020 7th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2020 6th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom).

Kernel subclass convex hull sample selection method for SVM on face recognition

Xiaofei Zhou, Yingjie Tian, Yong Shi, 2010, Neurocomputing.

Credit risk evaluation with kernel-based affine subspace nearest points learning method

Yong Shi, Xiaofei Zhou, Wenhan Jiang, 2011, Expert Syst. Appl..

Study of the effect on harmonics in shanghai grid caused by subway transportation connecting into the grid

Yingjie Tian, Qinchang Gui, Yonggang Pan, 2006 .

LINEX Support Vector Machine for Large-Scale Classification

Dewei Li, Yingjie Tian, Qin Zhang, 2019, IEEE Access.

lp-norm support vector machine with CCCP

Jun Yu, Wenjing Chen, Yingjie Tian, 2010, 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery.

Leave-one-out Bounds for Support Vector Regression

Yingjie Tian, Naiyang Deng, Ying-jie Tian, 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

Rigorous assessment and integration of the sequence and structure based features to predict hot spots

Yong Wang, Di Wu, Yong Shi, 2011, BMC Bioinformatics.

Deep Sparse Informative Transfer SoftMax for Cross-Domain Image Classification

Xiangdong Zhou, Lan Lin, Zijing Tan, 2018, DASFAA.

A Multi-class Classification Algorithm based on Ordinal Regression Machine

Yingjie Tian, Zhixia Yang, Naiyang Deng, 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

Graph-based semi-supervised learning with redundant views

Yingjie Tian, Yunchao Gong, Chuanliang Chen, 2008, 2008 19th International Conference on Pattern Recognition.

A New Support Vector Machine for Multi-class Classification

Zhiquan Qi, Yingjie Tian, 2005, CIT.

Regularized multiple-criteria linear programming with universum and its application

Yong Shi, Zhiquan Qi, Yingjie Tian, 2012, Neural Computing and Applications.

Structural twin support vector machine for classification

Yong Shi, Zhiquan Qi, Yingjie Tian, 2013, Knowl. Based Syst..

A class of classification and regression methods by multiobjective programming

Yong Shi, Yingjie Tian, Dongling Zhang, 2009, Frontiers of Computer Science in China.

ν-Nonparallel support vector machine for pattern classification

Qin Zhang, Yingjie Tian, Dalian Liu, 2014, Neural Computing and Applications.

Improved least squares support vector machine based on metric learning

Dewei Li, Yingjie Tian, Ying-jie Tian, 2018, Neural Computing and Applications.

Metric learning for multi-instance classification with collapsed bags

Dewei Li, Jingjing Tang, Yingjie Tian, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Twin Support Vector Machine in Linear Programs

Dewei Li, Yingjie Tian, 2014, ICCS.

Regularized Multiple Criteria Linear Programming via Linear Programming

Yong Shi, Zhiquan Qi, Yingjie Tian, 2012, ICCS.

Support Vector Classification with Nominal Attributes

Yingjie Tian, Naiyang Deng, Ying-jie Tian, 2005, CIS.

Managing and Refining Rule Set for SWRL

Junsheng Zhang, Yunchuan Sun, Wei Zhao, 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.

Support vector machine classifier with truncated pinball loss

Xin Shen, Zhiquan Qi, Lingfeng Niu, 2017, Pattern Recognit..

Laplacian twin support vector machine for semi-supervised classification

Yong Shi, Zhiquan Qi, Yingjie Tian, 2012, Neural Networks.

Online Robust Lagrangian Support Vector Machine against Adversarial Attack

Yingjie Tian, Yiwei He, Yue Ma, 2018, ITQM.

Kernel-based multiple criteria linear programming classifier

Zhan Zhang, Yingjie Tian, Dongling Zhang, 2010, ICCS.

Deep Twin Support Vector Machine

Dewei Li, Yingjie Tian, Honggui Xu, 2014, 2014 IEEE International Conference on Data Mining Workshop.

A New Method for Structured Learning with Privileged Information

Chunhua Zhang, Yingjie Tian, Shiding Sun, 2018, ICCS.

Finding Hidden Pattern of Financial Time Series Based on Score Matrix in Sequence Alignment

Wen Long, Yingjie Tian, Yong Shi, 2018 .

A Systematic Review on Minwise Hashing Algorithms

Jingjing Tang, Yingjie Tian, Ying-jie Tian, 2016 .

Explore New Field of Data Science Under Big Data Era: Preface for ICDS 2014☆

Philip S. Yu, Yong Shi, Yangyong Zhu, 2014 .

Smoothing Newton Method for L1 Soft Margin Data Classification Problem

Yingjie Tian, Weibing Chen, Hongxia Yin, 2009, ICCS.

A Comprehensive Survey of Clustering Algorithms

Yingjie Tian, Dongkuan Xu, Ying-jie Tian, 2015, Annals of Data Science.

Kernel-Based Nonparametric Regression Method

Peng Zhang, Yingjie Tian, Dongling Zhang, 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

Research on calculation model of voltage sags due to high voltage and great power motor starting

Yingjie Tian, Aiqiang Pan, Qinchang Gui, 2010, CICED 2010 Proceedings.

Unconstrained transductive Support Vector Machines and its application

Yunchuan Sun, Zhan Zhang, Yingjie Tian, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

A nonparallel support vector machine for a classification problem with universum learning

Yong Shi, Zhiquan Qi, Yingjie Tian, 2014, J. Comput. Appl. Math..

Multi-metrics classification machine

Wei Zhang, Dewei Li, Yingjie Tian, 2016 .

Support Vector Regression and Time Series Analysis for the Forecasting of Bayannur's Total Water Requirement

Yingjie Tian, Xuchan Ju, Manjin Cheng, 2014, ITQM.

Convex Decomposition Based Cluster Labeling Method for Support Vector Clustering

Yixian Yang, Yingjie Tian, Yuan Ping, 2012, Journal of Computer Science and Technology.

Foundations of Intelligent Knowledge Management

Yong Shi, Xingsen Li, Yingjie Tian, 2009 .

When Ensemble Learning Meets Deep Learning: a New Deep Support Vector Machine for Classification

Bo Wang, Peng Zhang, Zhiquan Qi, 2016, Knowl. Based Syst..

A New Approach for Power-Saving Analysis in Consumer Side Based on Big Data Mining

Shouxiang Wang, Yingjie Tian, Haiwen Chen, 2018, 2018 IEEE Power & Energy Society General Meeting (PESGM).

Sparse multi-criteria optimization classifier for credit risk evaluation

Jing He, Zhiwang Zhang, Yingjie Tian, 2017, Soft Computing.

Ramp loss nonparallel support vector machine for pattern classification

Yong Shi, Yingjie Tian, Dalian Liu, 2015, Knowl. Based Syst..

An Extension Collaborative Innovation Model in the Context of Big Data

Florentin Smarandache, Xingsen Li, Yingjie Tian, 2013, Int. J. Inf. Technol. Decis. Mak..

Knowledge-incorporated Multiple Criteria Linear Programming Classifiers

Yong Shi, Lingling Zhang, Xingsen Li, 2015 .

A Leave-One-Out Bound for nu-Support Vector Regression

Jing Chen, Yingjie Tian, Naiyang Deng, 2007, International Conference on Computational Science.

Multi-view learning based on nonparallel support vector machine

Dewei Li, Jingjing Tang, Yingjie Tian, 2018, Knowl. Based Syst..

Unconstrained Transductive Support Vector Machines

Yingjie Tian, Manfu Yan, Ying-jie Tian, 2007, Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007).

Review on: Twin Support Vector Machines

Zhiquan Qi, Yingjie Tian, Ying-jie Tian, 2014, Annals of Data Science.

Preface: Inaugural Volume of the Annals of Data Science: Optimization and Data Science

Yong Shi, Yingjie Tian, 2014 .

A Multi-class Classification Algorithm based on Ordinal Regression Machine

Yingjie Tian, Zhixia Yang, Naiyang Deng, 2005 .

Parallel Regularized Multiple-criteria Linear Programming

Yong Shi, Vassil N. Alexandrov, Zhiquan Qi, 2014, ITQM.

Efficient railway tracks detection and turnouts recognition method using HOG features

Yong Shi, Zhiquan Qi, Yingjie Tian, 2012, Neural Computing and Applications.

Robust Unsupervised and Semisupervised Bounded C-Support Vector Machines

Kun Zhao, Yingjie Tian, Naiyang Deng, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

AODE for Source Code Metrics for Improved Software Maintainability

Chunhua Zhang, Yingjie Tian, Chuanliang Chen, 2008, 2008 Fourth International Conference on Semantics, Knowledge and Grid.

Multi-task feature selection with sparse regularization to extract common and task-specific features

Kun Zhao, Jianyu Miao, Yingjie Tian, 2019, Neurocomputing.

A New Support Vector Machine for Multi-class Classification

Zhiquan Qi, Yingjie Tian, Naiyang Deng, 2005, The Fifth International Conference on Computer and Information Technology (CIT'05).

Pedestrian detection based on the privileged information

Fan Meng, Zhiquan Qi, Lingfeng Niu, 2018, Neural Computing and Applications.

Unsupervised Domain Adaptation Using Exemplar-SVMs with Adaptation Regularization

Jingjing Tang, Yingjie Tian, Yiwei He, 2018, Complex..

Efficient sparse least squares support vector machines for pattern classification

Yong Shi, Zhiquan Qi, Yingjie Tian, 2012, 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery.

Computational Science – ICCS 2018

Jack Dongarra, Peter M. A. Sloot, Haohuan Fu, 2018, Lecture Notes in Computer Science.

Large-Scale Linear NPSVM via One Permutation Hashing

Jingjing Tang, Yingjie Tian, Dalian Liu, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Evaluation of negative sequence current injecting into the public grid from different traction substation in electrical railways

Haiqun Wang, Yingjie Tian, Qin-chang Gui, 2009 .

Local and Global Regularized Twin SVM

Yanan Wang, Xi Zhao, Yingjie Tian, 2013, ICCS.

Adaboost-LLP: A Boosting Method for Learning With Label Proportions

Yong Shi, Peng Zhang, Zhiquan Qi, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Robust cost-sensitive kernel method with Blinex loss and its applications in credit risk evaluation

Jingjing Tang, Yingjie Tian, Xuchan Ju, 2021, Neural Networks.

Multi-view Feature Augmentation with Adaptive Class Activation Mapping

Zhiquan Qi, Yingjie Tian, Xiang Gao, 2021, IJCAI.

Multi-view learning methods with the LINEX loss for pattern classification

Shan Xu, Yingjie Tian, Weiqi Xu, 2021, Knowl. Based Syst..

Image classification with multi-view multi-instance metric learning

Yingjie Tian, Jingjing Tang, Dewei Li, 2021, Expert Syst. Appl..

Cross-Domain End-To-End Aspect-Based Sentiment Analysis with Domain-Dependent Embeddings

Yingjie Tian, Dalian Liu, Yunchuan Sun, 2021, Complex..

CarNet: A Lightweight and Efficient Encoder-Decoder Architecture for High-quality Road Crack Detection pdf

Zhiquan Qi, Yingjie Tian, Kai Li, 2021, ArXiv.

Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function

Zhiquan Qi, Yingjie Tian, Bo Wang, 2021, IEEE Transactions on Cybernetics.

Multi-view Teacher-Student Network

Yingjie Tian, Jingjing Tang, Shiding Sun, 2021, Neural Networks.

Two-stage Training for Learning from Label Proportions

Jiabin Liu, Zhiquan Qi, Yingjie Tian, 2021, IJCAI.

Bi-Directional Pyramid Network for Edge Detection

Zhiquan Qi, Yingjie Tian, Bo Wang, 2021, Electronics.

Attention Transfer Network for Nature Image Matting

Zhiquan Qi, Yingjie Tian, Fenfen Zhou, 2021, IEEE Transactions on Circuits and Systems for Video Technology.

Valley-loss regular simplex support vector machine for robust multiclass classification

Panos M. Pardalos, Yingjie Tian, Wen J. Li, 2021, Knowl. Based Syst..

Analysis of investment effect in Xinjiang from the perspective of nontraditional security

Yingjie Tian, Ming Chen, Yuqi Zhang, 2021, Personal and Ubiquitous Computing.

A comprehensive survey on regularization strategies in machine learning

Yingjie Tian, Yuqi Zhang, Ying-jie Tian, 2021, Inf. Fusion.

Regularized multiple-criteria linear programming via second order cone programming formulations

Zhiquan Qi, Yingjie Tian, Yong Shi, 2012, DM-IKM '12.

An Effective Classification Approach Based on Fuzzy Set and Multiple Criteria Linear Programming

Yong Shi, Yingjie Tian, Zhiwang Zhang, 2009 .

Unsupervised and Semi-Supervised Two-class Support Vector Machines

Yingjie Tian, Naiyang Deng, Ying-jie Tian, 2006, ICDM Workshops.

Optimization-based Data Mining Techniques with Applications

Yi Peng, Gang Kou, Shingo Aoki, 2005 .

The new interpretation of support vector machines on statistical learning theory

Chunhua Zhang, Nai-Yang Deng, Yingjie Tian, 2010 .