# Yingjie Tian

According to our database

Collaborative distances:

^{1}, Yingjie Tian authored at least 147 papers between 2005 and 2019.Collaborative distances:

## Timeline

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#### On csauthors.net:

## Bibliography

2019

Sparse multi-criteria optimization classifier for credit risk evaluation.

Soft Comput., 2019

LGND: a new method for multi-class novelty detection.

Neural Computing and Applications, 2019

Large-scale structural learning and predicting via hashing approximation.

Neural Computing and Applications, 2019

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

Inf. Sci., 2019

Coupling privileged kernel method for multi-view learning.

Inf. Sci., 2019

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

Neurocomputing, 2019

Multi-view transfer learning with privileged learning framework.

Neurocomputing, 2019

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

CoRR, 2019

Learning from Label Proportions with Generative Adversarial Networks.

CoRR, 2019

Bi-sparse optimization-based least squares regression.

Appl. Soft Comput., 2019

Structured Output Prediction Using Privileged Information.

IEEE Access, 2019

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

IEEE Access, 2019

Adaptive FH-SVM for Imbalanced Classification.

IEEE Access, 2019

LINEX Support Vector Machine for Large-Scale Classification.

IEEE Access, 2019

Factor Integration Based on Neural Networks for Factor Investing.

Proceedings of the Computational Science - ICCS 2019, 2019

Incremental Discovery of Order Dependencies on Tuple Insertions.

Proceedings of the Database Systems for Advanced Applications, 2019

2018

Multiview Privileged Support Vector Machines.

IEEE Trans. Neural Netw. Learning Syst., 2018

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

IEEE Trans. Neural Netw. Learning Syst., 2018

Large-scale linear nonparallel SVMs.

Soft Comput., 2018

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

Neural Networks, 2018

Nonparallel support vector regression model and its SMO-type solver.

Neural Networks, 2018

Improved multi-view privileged support vector machine.

Neural Networks, 2018

Survey and experimental study on metric learning methods.

Neural Networks, 2018

Pedestrian detection based on the privileged information.

Neural Computing and Applications, 2018

Improved least squares support vector machine based on metric learning.

Neural Computing and Applications, 2018

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

Neural Computing and Applications, 2018

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

Knowl.-Based Syst., 2018

Multi-view learning based on nonparallel support vector machine.

Knowl.-Based Syst., 2018

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

Neurocomputing, 2018

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

Neurocomputing, 2018

Unsupervised Domain Adaptation Using Exemplar-SVMs with Adaptation Regularization.

Complexity, 2018

Large-Scale Linear NPSVM via One Permutation Hashing.

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Privileged Multi-Target Support Vector Regression.

Proceedings of the 24th International Conference on Pattern Recognition, 2018

A New Method for Structured Learning with Privileged Information.

Proceedings of the Computational Science - ICCS 2018, 2018

Deep Sparse Informative Transfer SoftMax for Cross-Domain Image Classification.

Proceedings of the Database Systems for Advanced Applications, 2018

2017

Nonparallel Support Vector Ordinal Regression.

IEEE Trans. Cybernetics, 2017

Nonsmooth Penalized Clustering via ℓ

_{p}Regularized Sparse Regression.
IEEE Trans. Cybernetics, 2017

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

Pattern Recognition, 2017

Support vector machine classifier with truncated pinball loss.

Pattern Recognition, 2017

FRSVC: Towards making support vector clustering consume less.

Pattern Recognition, 2017

Global and local metric learning via eigenvectors.

Knowl.-Based Syst., 2017

A multi-kernel framework with nonparallel support vector machine.

Neurocomputing, 2017

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

IEEE Access, 2017

Stochastic gradient descent for large-scale linear nonparallel SVM.

Proceedings of the International Conference on Web Intelligence, 2017

Metric learning for multi-instance classification with collapsed bags.

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Multi-view deep metric learning for image classification.

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Structural nonparallel support vector machine for pattern recognition.

Pattern Recognition, 2016

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

Neural Networks, 2016

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

Knowl.-Based Syst., 2016

Ramp loss least squares support vector machine.

J. Comput. Science, 2016

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

Neurocomputing, 2016

Semi-supervised support vector classification with self-constructed Universum.

Neurocomputing, 2016

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

Neurocomputing, 2016

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

CoRR, 2016

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

CoRR, 2016

v-Structural Nonparallel Support Vector Machine for Pattern Classification.

Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Unsupervised Feature Learning from Time Series.

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Ramp Loss Linear Programming Nonparallel Support Vector Machine.

Proceedings of the International Conference on Computational Science 2016, 2016

2015

Successive Overrelaxation for Laplacian Support Vector Machine.

IEEE Trans. Neural Netw. Learning Syst., 2015

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

Remote Sensing, 2015

Semi-supervised classification with privileged information.

Int. J. Machine Learning & Cybernetics, 2015

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

Knowl.-Based Syst., 2015

Ramp loss nonparallel support vector machine for pattern classification.

Knowl.-Based Syst., 2015

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

Knowl. Inf. Syst., 2015

Twin support vector machine in linear programs.

J. Comput. Science, 2015

An Extension Collaborative Innovation Model in the Context of Big Data.

International Journal of Information Technology and Decision Making, 2015

Big Data and Knowledge Extraction for Cyber-Physical Systems.

IJDSN, 2015

f-Fractional Bit Minwise Hashing for Large-Scale Learning.

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Multi-Dimensional Critical Control of Water Resource in Bayannur.

Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015

Alternating Direction Method of Multipliers for Nonparallel Support Vector Machines.

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Pedestrian Detection Using Privileged Information.

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Nonparallel Hyperplanes Support Vector Machine for Multi-class Classification.

Proceedings of the International Conference on Computational Science, 2015

Connected bit minwise hashing for large-scale linear SVM.

Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

2014

Nonparallel Support Vector Machines for Pattern Classification.

IEEE Trans. Cybernetics, 2014

Self-Universum support vector machine.

Personal and Ubiquitous Computing, 2014

Large-scale linear nonparallel support vector machine solver.

Neural Networks, 2014

ν-Nonparallel support vector machine for pattern classification.

Neural Computing and Applications, 2014

Efficient sparse nonparallel support vector machines for classification.

Neural Computing and Applications, 2014

Regularized multiple-criteria linear programming with universum and its application.

Neural Computing and Applications, 2014

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

J. Computational Applied Mathematics, 2014

Large-scale linear nonparallel support vector machine solver.

Neurocomputing, 2014

A new classification model using privileged information and its application.

Neurocomputing, 2014

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

IJDSN, 2014

A multi-instance learning algorithm based on nonparallel classifier.

Applied Mathematics and Computation, 2014

Correlation Analysis for Multiple-dimensional Properties of Water Recourses.

Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

Parallel Regularized Multiple-criteria Linear Programming.

Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

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

Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

Nonparallel hyperplane support vector machine for PU learning.

Proceedings of the 10th International Conference on Natural Computation, 2014

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

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Deep Twin Support Vector Machine.

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013

Robust twin support vector machine for pattern classification.

Pattern Recognition, 2013

Multi-instance classification based on regularized multiple criteria linear programming.

Neural Computing and Applications, 2013

Efficient railway tracks detection and turnouts recognition method using HOG features.

Neural Computing and Applications, 2013

Structural twin support vector machine for classification.

Knowl.-Based Syst., 2013

Efficient sparse least squares support vector machines for pattern classification.

Computers & Mathematics with Applications, 2013

Nonparallel Support Vector Machines for Multiple-Instance Learning.

Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

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

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Local and Global Regularized Twin SVM.

Proceedings of the International Conference on Computational Science, 2013

Cost-Sensitive Support Vector Machine for Semi-Supervised Learning.

Proceedings of the International Conference on Computational Science, 2013

2012

Regularized Multiple Criteria Linear Programming via Linear Programming.

Proceedings of the International Conference on Computational Science, 2012

Knowledge-based Support Vector Machine Classifiers via Nearest Points.

Proceedings of the International Conference on Computational Science, 2012

Twin support vector machine with Universum data.

Neural Networks, 2012

Laplacian twin support vector machine for semi-supervised classification.

Neural Networks, 2012

Convex Decomposition Based Cluster Labeling Method for Support Vector Clustering.

J. Comput. Sci. Technol., 2012

Fast Localized Twin SVM.

Proceedings of the Eighth International Conference on Natural Computation, 2012

Regular Multiple Criteria Linear Programming for Semi-supervised Classification.

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

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

Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012

2011

Optimization Based Data Mining: Theory and Applications.

Advanced Information and Knowledge Processing, Springer, ISBN: 978-0-85729-504-0, 2011

AUC Maximizing Support Vector Machines with Feature Selection.

Proceedings of the International Conference on Computational Science, 2011

A group of knowledge-incorporated multiple criteria linear programming classifiers.

J. Computational Applied Mathematics, 2011

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

Expert Syst. Appl., 2011

Credit card churn forecasting by logistic regression and decision tree.

Expert Syst. Appl., 2011

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

BMC Bioinformatics, 2011

2010

Kernel-based multiple criteria linear programming classifier.

Proceedings of the International Conference on Computational Science, 2010

Second Order Cone Programming Formulations for Handling Data with Perturbation.

JCIT, 2010

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

Neurocomputing, 2010

lp-norm support vector machine with CCCP.

Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

2009

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

Neural Computing and Applications, 2009

A class of classification and regression methods by multiobjective programming.

Frontiers Comput. Sci. China, 2009

Regularized multiple criteria linear programs for classification.

Science in China Series F: Information Sciences, 2009

Robust Unsupervised and Semi-supervised Bounded v - Support Vector Machines.

Proceedings of the Advances in Neural Networks, 2009

A New Kernel-Based Classification Algorithm.

Proceedings of the ICDM 2009, 2009

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

Proceedings of the Computational Science, 2009

Smoothing Newton Method for L1 Soft Margin Data Classification Problem.

Proceedings of the Computational Science, 2009

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

Proceedings of the Business Intelligence: Artificial Intelligence in Business, 2009

2008

Semi-supervised learning methods for network intrusion detection.

Proceedings of the IEEE International Conference on Systems, 2008

AODE for Source Code Metrics for Improved Software Maintainability.

Proceedings of the Fourth International Conference on Semantics, Knowledge and Grid, 2008

Unconstrained transductive Support Vector Machines and its application.

Proceedings of the International Joint Conference on Neural Networks, 2008

Concept Semilattice: Construction and Complexity.

Proceedings of the 9th International Conference for Young Computer Scientists, 2008

Graph-based semi-supervised learning with redundant views.

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Spam filtering with several novel bayesian classifiers.

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Select Representative Samples for Regularized Multiple-Criteria Linear Programming Classification.

Proceedings of the Computational Science, 2008

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

Proceedings of the Computational Science, 2008

Select Objective Functions for Multiple Criteria Programming Classification.

Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

Kernel-Based Nonparametric Regression Method.

Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

2007

A Regularized Multiple Criteria Linear Program for Classification.

Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Robust Unsupervised and Semisupervised Bounded C-Support Vector Machines.

Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Unsupervised and Semi-supervised Lagrangian Support Vector Machines.

Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

Feature Selection for VIP E-Mail Accounts Analysis.

Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

A Leave-One-Out Bound for

*nu*-Support Vector Regression.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

Unconstrained Transductive Support Vector Machines.

Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006

Unsupervised and Semi-Supervised Two-class Support Vector Machines.

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005

Support Vector Classification with Nominal Attributes.

Proceedings of the Computational Intelligence and Security, International Conference, 2005

A New Support Vector Machine for Multi-class Classification.

Proceedings of the Computational Intelligence and Security, International Conference, 2005

A Multi-class Classification Algorithm based on Ordinal Regression Machine.

Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

Leave-one-out Bounds for Support Vector Regression.

Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

A New Support Vector Machine for Multi-class Classification.

Proceedings of the Fifth International Conference on Computer and Information Technology (CIT 2005), 2005