Yingjie Tian

According to our database, Yingjie Tian authored at least 216 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Deep image matting with cross-layer contextual information propagation.

Fenfen Zhou, Yingjie Tian, Siyu Zhu

Neural Comput. Appl., April, 2024

Self-distillation and self-supervision for partial label learning.

Xiaotong Yu, Shiding Sun, Yingjie Tian

Pattern Recognit., February, 2024

Rethinking Lightweight Convolutional Neural Networks for Efficient and High-Quality Pavement Crack Detection.

Kai Li, Jie Yang, Siwei Ma, Bo Wang, Shanshe Wang, Yingjie Tian, Zhiquan Qi

IEEE Trans. Intell. Transp. Syst., January, 2024

ComCo: Complementary supervised contrastive learning for complementary label learning.

Haoran Jiang, Zhihao Sun, Yingjie Tian

Neural Networks, January, 2024

Artificial cheerleading in IEO: Marketing campaign or pump and dump scheme.

Yingjie Tian, Yuhao Xie

Inf. Process. Manag., January, 2024

Adaptive robust loss for landmark detection.

Yingjie Tian, Duo Su, Shilin Li

Inf. Fusion, January, 2024

Exploiting multi-scale contextual prompt learning for zero-shot semantic segmentation.

Yiqi Wang, Yingjie Tian

Displays, January, 2024

Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes.

Haoran Jiang, Zhihao Sun, Yingjie Tian

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

LLP-GAN: A GAN-Based Algorithm for Learning From Label Proportions.

Jiabin Liu, Bo Wang, Hanyuan Hang, Huadong Wang, Zhiquan Qi, Yingjie Tian, Yong Shi

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Coarse-grained privileged learning for classification.

Saiji Fu, Xiaoxiao Wang, Yingjie Tian, Tianyi Dong, Jingjing Tang, Jicai Li

Inf. Process. Manag., November, 2023

Robust regression under the general framework of bounded loss functions.

Saiji Fu, Yingjie Tian, Long Tang

Eur. J. Oper. Res., November, 2023

Causal multi-label learning for image classification.

Yingjie Tian, Kunlong Bai, Xiaotong Yu, Siyu Zhu

Neural Networks, October, 2023

Multi-view side information-incorporated tensor completion.

Yingjie Tian, Xiaotong Yu, Saiji Fu

Numer. Linear Algebra Appl., October, 2023

Multi-view cost-sensitive kernel learning for imbalanced classification problem.

Jingjing Tang, Zhaojie Hou, Xiaotong Yu, Saiji Fu, Yingjie Tian

Neurocomputing, October, 2023

Multi-view prototype-based disambiguation for partial label learning.

Shiding Sun, Xiaotong Yu, Yingjie Tian

Pattern Recognit., September, 2023

A simple and reliable instance selection for fast training support vector machine: Valid Border Recognition.

Long Tang, Ying-Jie Tian, Xiaowei Wang, Panos M. Pardalos

Neural Networks, September, 2023

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

Ming Chen, Yuqi Zhang, Saiji Fu, Yingjie Tian

Pers. Ubiquitous Comput., August, 2023

CSAST: Content self-supervised and style contrastive learning for arbitrary style transfer.

Yuqi Zhang, Yingjie Tian, Junjie Hou

Neural Networks, July, 2023

Partial label learning: Taxonomy, analysis and outlook.

Yingjie Tian, Xiaotong Yu, Saiji Fu

Neural Networks, April, 2023

Improving long-tailed classification by disentangled variance transfer.

Yingjie Tian, Weizhi Gao, Qin Zhang, Pu Sun, Dongkuan Xu

Internet Things, April, 2023

Cost-sensitive learning with modified Stein loss function.

Saiji Fu, Yingjie Tian, Jingjing Tang, Xiaohui Liu

Neurocomputing, March, 2023

GAN-CL: Generative Adversarial Networks for Learning From Complementary Labels.

Jiabin Liu, Hanyuan Hang, Bo Wang, Biao Li, Huadong Wang, Yingjie Tian, Yong Shi

IEEE Trans. Cybern., 2023

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

Kai Li, Bo Wang, Yingjie Tian, Zhiquan Qi

IEEE Trans. Cybern., 2023

Shape robustness in style enhanced cross domain semantic segmentation.

Siyu Zhu, Yingjie Tian

Pattern Recognit., 2023

Robust multi-view learning with the bounded LINEX loss.

Jingjing Tang, Hao He, Saiji Fu, Yingjie Tian, Gang Kou, Shan Xu

Neurocomputing, 2023

Kernel methods with asymmetric and robust loss function.

Yingjie Tian, Xiaoxi Zhao, Saiji Fu

Expert Syst. Appl., 2023

Two-stage training strategy combined with neural network for segmentation of internal mammary artery graft.

Shiding Sun, Yingjie Tian, Zhiquan Qi, Yang Wu, Weizhi Gao, Yahe Wu

Biomed. Signal Process. Control., 2023

Group Recommendation Based on Heterogeneous Graph Algorithm for EBSNs.

Yue Wu, Wayne Wei Huang, Lean Yu, Yingjie Tian

IEEE Access, 2023

2022

Partial Domain Adaptation on Semantic Segmentation.

Yingjie Tian, Siyu Zhu

IEEE Trans. Circuits Syst. Video Technol., 2022

SELF-LLP: Self-supervised learning from label proportions with self-ensemble.

Jiabin Liu, Zhiquan Qi, Bo Wang, Yingjie Tian, Yong Shi

Pattern Recognit., 2022

Multi-view Teacher-Student Network.

Yingjie Tian, Shiding Sun, Jingjing Tang

Neural Networks, 2022

Asymmetric and robust loss function driven least squares support vector machine.

Xiaoxi Zhao, Saiji Fu, Yingjie Tian, Kun Zhao

Knowl. Based Syst., 2022

Cost sensitive ν-support vector machine with LINEX loss.

Saiji Fu, Xiaotong Yu, Yingjie Tian

Inf. Process. Manag., 2022

A comprehensive survey on regularization strategies in machine learning.

Yingjie Tian, Yuqi Zhang

Inf. Fusion, 2022

Meta-learning approaches for learning-to-learn in deep learning: A survey.

Yingjie Tian, Xiaoxi Zhao, Wei Huang

Neurocomputing, 2022

Non-tumorous facial pigmentation classification based on multi-view convolutional neural network with attention mechanism.

Yingjie Tian, Shiding Sun, Zhiquan Qi, Ying Liu, Zeyuan Wang

Neurocomputing, 2022

Recent advances on loss functions in deep learning for computer vision.

Yingjie Tian, Duo Su, Stanislao Lauria, Xiaohui Liu

Neurocomputing, 2022

Image classification with multi-view multi-instance metric learning.

Jingjing Tang, Dewei Li, Yingjie Tian

Expert Syst. Appl., 2022

An uncertainty-oriented cost-sensitive credit scoring framework with multi-objective feature selection.

Yiqiong Wu, Wei Huang, Yingjie Tian, Qing Zhu, Lean Yu

Electron. Commer. Res. Appl., 2022

Multi-view Feature Augmentation with Adaptive Class Activation Mapping.

Xiang Gao, Yingjie Tian

CoRR, 2022

Data Boundary and Data Pricing Based on the Shapley Value.

Yingjie Tian, Yurong Ding, Saiji Fu, Dalian Liu

IEEE Access, 2022

Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization.

Xiang Gao, Yuqi Zhang, Yingjie Tian

Proceedings of the International Conference on Machine Learning, 2022

2021

Attention Transfer Network for Nature Image Matting.

Fenfen Zhou, Yingjie Tian, Zhiquan Qi

IEEE Trans. Circuits Syst. Video Technol., 2021

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

Jingjing Tang, Jiahui Li, Weiqi Xu, Yingjie Tian, Xuchan Ju, Jie Zhang

Neural Networks, 2021

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

Jingjing Tang, Weiqi Xu, Jiahui Li, Yingjie Tian, Shan Xu

Knowl. Based Syst., 2021

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

Long Tang, Yingjie Tian, Wenjun Li, Panos M. Pardalos

Knowl. Based Syst., 2021

Incomplete-view oriented kernel learning method with generalization error bound.

Yingjie Tian, Saiji Fu, Jingjing Tang

Inf. Sci., 2021

Coupling loss and self-used privileged information guided multi-view transfer learning.

Jingjing Tang, Yiwei He, Yingjie Tian, Dalian Liu, Gang Kou, Fawaz E. Alsaadi

Inf. Sci., 2021

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

Kai Li, Yingjie Tian, Zhiquan Qi

CoRR, 2021

Sparse Multiple Instance Learning for Elderly People Balance Ability.

Yuqi Zhang, Duo Su, Xiaoxi Zhao, Yingjie Tian

Proceedings of the 8th International Conference on Information Technology and Quantitative Management, 2021

Two-stage Training for Learning from Label Proportions.

Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Multi-view Feature Augmentation with Adaptive Class Activation Mapping.

Xiang Gao, Yingjie Tian, Zhiquan Qi

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

RPD-GAN: Learning to Draw Realistic Paintings With Generative Adversarial Network.

Xiang Gao, Yingjie Tian, Zhiquan Qi

IEEE Trans. Image Process., 2020

Parallel RMCLP Classification Algorithm and Its Application on the Medical Data.

Zhiquan Qi, Yingjie Tian, Yong Shi, Vassil Alexandrov

IEEE Trans. Cloud Comput., 2020

CANet: Concatenated Attention Neural Network for Image Restoration.

Yingjie Tian, Yiqi Wang, LinRui Yang, Zhiquan Qi

IEEE Signal Process. Lett., 2020

Analysis of slump and surge phenomenon in Chinese stock market based on sequence alignment method.

Wen Long, Linqiu Song, Ying-jie Tian, Wenning Yang

Soft Comput., 2020

Joint Ranking SVM and Binary Relevance with robust Low-rank learning for multi-label classification.

Guoqiang Wu, Ruobing Zheng, Yingjie Tian, Dalian Liu

Neural Networks, 2020

Deep learning from label proportions with labeled samples.

Yong Shi, Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian

Neural Networks, 2020

A descriptive framework for the field of deep learning applications in medical images.

Yingjie Tian, Saiji Fu

Knowl. Based Syst., 2020

A non-convex semi-supervised approach to opinion spam detection by ramp-one class SVM.

Yingjie Tian, Mahboubeh Mirzabagheri, Peyman Tirandazi, Seyed Mojtaba Hosseini Bamakan

Inf. Process. Manag., 2020

Sparse multiple instance learning with non-convex penalty.

Yuqi Zhang, Haibin Zhang, Yingjie Tian

Neurocomputing, 2020

Concatenated Attention Neural Network for Image Restoration.

Yingjie Tian, Yiqi Wang, LinRui Yang, Zhiquan Qi

CoRR, 2020

Structural improved regular simplex support vector machine for multiclass classification.

Long Tang, Yingjie Tian, Wenjun Li, Panos M. Pardalos

Appl. Soft Comput., 2020

An interpretable regression approach based on bi-sparse optimization.

Zhiwang Zhang, Guangxia Gao, Tao Yao, Jing He, Yingjie Tian

Appl. Intell., 2020

Incremental Cost-Sensitive Support Vector Machine With Linear-Exponential Loss.

Yue Ma, Kun Zhao, Qi Wang, Yingjie Tian

IEEE Access, 2020

2019

Sparse multi-criteria optimization classifier for credit risk evaluation.

Zhiwang Zhang, Jing He, Guangxia Gao, Yingjie Tian

Soft Comput., 2019

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

Jingjing Tang, Yingjie Tian, Xiaohui Liu

Neural Comput. Appl., 2019

Large-scale structural learning and predicting via hashing approximation.

Dandan Chen, Yingjie Tian

Neural Comput. Appl., 2019

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

Long Tang, Yingjie Tian, Panos M. Pardalos

Inf. Sci., 2019

Coupling privileged kernel method for multi-view learning.

Jingjing Tang, Yingjie Tian, Dalian Liu, Gang Kou

Inf. Sci., 2019

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

Jiashuai Zhang, Jianyu Miao, Kun Zhao, Yingjie Tian

Neurocomputing, 2019

Multi-view transfer learning with privileged learning framework.

Yiwei He, Yingjie Tian, Dalian Liu

Neurocomputing, 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

Expert Syst. Appl., 2019

Bi-sparse optimization-based least squares regression.

Zhiwang Zhang, Jing He, Guangxia Gao, Yingjie Tian

Appl. Soft Comput., 2019

Structured Output Prediction Using Privileged Information.

Chunhua Zhang, Shiding Sun, Yingjie Tian, Zeyuan Wang

IEEE Access, 2019

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

Jia Wu, Shirui Pan, Junjun Jiang, Zhihua Cai, Bo Du, Yingjie Tian, Shuaiqiang Wang, Haishuai Wang

IEEE Access, 2019

Adaptive FH-SVM for Imbalanced Classification.

Qi Wang, Yingjie Tian, Dalian Liu

IEEE Access, 2019

LINEX Support Vector Machine for Large-Scale Classification.

Yue Ma, Qin Zhang, Dewei Li, Yingjie Tian

IEEE Access, 2019

Learning from Label Proportions with Generative Adversarial Networks.

Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Multi-view SVM Classification with Feature Selection.

Yuting Niu, Yuan Shang, Yingjie Tian

Proceedings of the 7th International Conference on Information Technology and Quantitative Management, 2019

Factor Integration Based on Neural Networks for Factor Investing.

Zhichen Lu, Wen Long, Jiashuai Zhang, Yingjie Tian

Proceedings of the Computational Science - ICCS 2019, 2019

2018

Multiview Privileged Support Vector Machines.

Jingjing Tang, Yingjie Tian, Peng Zhang, Xiaohui Liu

IEEE Trans. Neural Networks Learn. Syst., 2018

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

Zhiquan Qi, Fan Meng, Yingjie Tian, Lingfeng Niu, Yong Shi, Peng Zhang

IEEE Trans. Neural Networks Learn. Syst., 2018

Large-scale linear nonparallel SVMs.

Dalian Liu, Dewei Li, Yong Shi, Yingjie Tian

Soft Comput., 2018

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

Guoqiang Wu, Yingjie Tian, Dalian Liu

Neural Networks, 2018

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

Long Tang, Yingjie Tian, Chunyan Yang

Neural Networks, 2018

Improved multi-view privileged support vector machine.

Jingjing Tang, Yingjie Tian, Xiaohui Liu, Dewei Li, Jia Lv, Gang Kou

Neural Networks, 2018

Survey and experimental study on metric learning methods.

Dewei Li, Yingjie Tian

Neural Networks, 2018

Pedestrian detection based on the privileged information.

Fan Meng, Zhiquan Qi, Yingjie Tian, Lingfeng Niu

Neural Comput. Appl., 2018

Investor sentiment identification based on the universum SVM.

Wen Long, Ye-ran Tang, Ying-jie Tian

Neural Comput. Appl., 2018

Improved least squares support vector machine based on metric learning.

Dewei Li, Yingjie Tian

Neural Comput. Appl., 2018

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

Xuchan Ju, Yingjie Tian

Neural Comput. Appl., 2018

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

Long Tang, Yingjie Tian, Chunyan Yang, Panos M. Pardalos

Knowl. Based Syst., 2018

Multi-view learning based on nonparallel support vector machine.

Jingjing Tang, Dewei Li, Yingjie Tian, Dalian Liu

Knowl. Based Syst., 2018

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

Guoqiang Wu, Yingjie Tian, Chunhua Zhang

Neurocomputing, 2018

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

Yingjie Tian, Mahboubeh Mirzabagheri, Seyed Mojtaba Hosseini Bamakan, Huadong Wang, Qiang Qu

Neurocomputing, 2018

Unsupervised Domain Adaptation Using Exemplar-SVMs with Adaptation Regularization.

Yiwei He, Yingjie Tian, Jingjing Tang, Yue Ma

Complex., 2018

Online Robust Lagrangian Support Vector Machine against Adversarial Attack.

Yue Ma, Yiwei He, Yingjie Tian

Proceedings of the 6th International Conference on Information Technology and Quantitative Management, 2018

Large-Scale Linear NPSVM via One Permutation Hashing.

Jingjing Tang, Yingjie Tian, Dalian Liu

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

Privileged Multi-Target Support Vector Regression.

Guoqiang Wu, Yingjie Tian, Dalian Liu

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

A New Method for Structured Learning with Privileged Information.

Shiding Sun, Chunhua Zhang, Yingjie Tian

Proceedings of the Computational Science - ICCS 2018, 2018

2017

Nonparallel Support Vector Ordinal Regression.

Huadong Wang, Yong Shi, Lingfeng Niu, Yingjie Tian

IEEE Trans. Cybern., 2017

Nonsmooth Penalized Clustering via ℓ_p Regularized Sparse Regression.

Lingfeng Niu, Ruizhi Zhou, Yingjie Tian, Zhiquan Qi, Peng Zhang

IEEE Trans. Cybern., 2017

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

Dongkuan Xu, Jia Wu, Dewei Li, Yingjie Tian, Xingquan Zhu, Xindong Wu

Pattern Recognit., 2017

Support vector machine classifier with truncated pinball loss.

Xin Shen, Lingfeng Niu, Zhiquan Qi, Yingjie Tian

Pattern Recognit., 2017

FRSVC: Towards making support vector clustering consume less.

Yuan Ping, Yingjie Tian, Chun Guo, Baocang Wang, Yuehua Yang

Pattern Recognit., 2017

Global and local metric learning via eigenvectors.

Dewei Li, Yingjie Tian

Knowl. Based Syst., 2017

A multi-kernel framework with nonparallel support vector machine.

Jingjing Tang, Yingjie Tian

Neurocomputing, 2017

Stochastic gradient descent for large-scale linear nonparallel SVM.

Jingjing Tang, Yingjie Tian, Guoqiang Wu, Dewei Li

Proceedings of the International Conference on Web Intelligence, 2017

Metric learning for multi-instance classification with collapsed bags.

Dewei Li, Dongkuan Xu, Jingjing Tang, Yingjie Tian

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

Multi-view deep metric learning for image classification.

Dewei Li, Jingjing Tang, Yingjie Tian, Xuchan Ju

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

2016

Structural nonparallel support vector machine for pattern recognition.

Dandan Chen, Yingjie Tian, Xiaohui Liu

Pattern Recognit., 2016

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

Yingjie Tian, Xuchan Ju, Yong Shi

Neural Networks, 2016

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

Zhiquan Qi, Bo Wang, Yingjie Tian, Peng Zhang

Knowl. Based Syst., 2016

Ramp loss least squares support vector machine.

Dalian Liu, Yong Shi, Yingjie Tian, Xiankai Huang

J. Comput. Sci., 2016

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

Zhiwang Zhang, Guangxia Gao, Yingjie Tian, Jue Yue

Neurocomputing, 2016

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

Yingjie Tian, Ying Zhang, Dalian Liu

Neurocomputing, 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, Yong Shi

Neurocomputing, 2016

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

Dongkuan Xu, Jia Wu, Wei Zhang, Yingjie Tian

CoRR, 2016

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

Dewei Li, Yingjie Tian

CoRR, 2016

v-Structural Nonparallel Support Vector Machine for Pattern Classification.

Dandan Chen, Yingjie Tian

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

Unsupervised Feature Learning from Time Series.

Qin Zhang, Jia Wu, Hong Yang, Yingjie Tian, Chengqi Zhang

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

Ramp Loss Linear Programming Nonparallel Support Vector Machine.

Dalian Liu, Dandan Chen, Yong Shi, Yingjie Tian

Proceedings of the International Conference on Computational Science 2016, 2016

2015

Successive Overrelaxation for Laplacian Support Vector Machine.

Zhiquan Qi, Yingjie Tian, Yong Shi

IEEE Trans. Neural Networks Learn. Syst., 2015

Semi-supervised classification with privileged information.

Zhiquan Qi, Yingjie Tian, Lingfeng Niu, Bo Wang

Int. J. Mach. Learn. Cybern., 2015

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

Zhiwang Zhang, Guangxia Gao, Yingjie Tian

Knowl. Based Syst., 2015

Ramp loss nonparallel support vector machine for pattern classification.

Dalian Liu, Yong Shi, Yingjie Tian

Knowl. Based Syst., 2015

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

Yuan Ping, Yun Feng Chang, Yajian Zhou, Yingjie Tian, Yixian Yang, Zhili Zhang

Knowl. Inf. Syst., 2015

Twin support vector machine in linear programs.

Dewei Li, Yingjie Tian

J. Comput. Sci., 2015

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

Xingsen Li, Yingjie Tian, Florentin Smarandache, Rajan Alex

Int. J. Inf. Technol. Decis. Mak., 2015

Big Data and Knowledge Extraction for Cyber-Physical Systems.

Xiuzhen Cheng, Yunchuan Sun, Antonio J. Jara, Houbing Song, Yingjie Tian

Int. J. Distributed Sens. Networks, 2015

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

Jingjing Tang, Yingjie Tian

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.

Xuchan Ju, Yingjie Tian, Dalian Liu, Manjin Cheng, Yuhong Xia, Fuqiang Quo

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

Alternating Direction Method of Multipliers for Nonparallel Support Vector Machines.

Xin Shen, Lingfeng Niu, Yingjie Tian, Yong Shi

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

Pedestrian Detection Using Privileged Information.

Zhiquan Qi, Yingjie Tian, Lingfeng Niu, Fan Meng, Limeng Cui, Yong Shi

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

Nonparallel Hyperplanes Support Vector Machine for Multi-class Classification.

Xuchan Ju, Yingjie Tian, Dalian Liu, Zhiquan Qi

Proceedings of the International Conference on Computational Science, 2015

Connected bit minwise hashing for large-scale linear SVM.

Jingjing Tang, Yingjie Tian, Dalian Liu

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

2014

Nonparallel Support Vector Machines for Pattern Classification.

Yingjie Tian, Zhiquan Qi, Xuchan Ju, Yong Shi, Xiaohui Liu

IEEE Trans. Cybern., 2014

Self-Universum support vector machine.

Dalian Liu, Yingjie Tian, Rongfang Bie, Yong Shi

Pers. Ubiquitous Comput., 2014

Large-scale linear nonparallel support vector machine solver.

Yingjie Tian, Yuan Ping

Neural Networks, 2014

ν-Nonparallel support vector machine for pattern classification.

Yingjie Tian, Qin Zhang, Dalian Liu

Neural Comput. Appl., 2014

Efficient sparse nonparallel support vector machines for classification.

Yingjie Tian, Xuchan Ju, Zhiquan Qi

Neural Comput. Appl., 2014

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

Zhiquan Qi, Yingjie Tian, Yong Shi

Neural Comput. Appl., 2014

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

Zhiquan Qi, Yingjie Tian, Yong Shi

J. Comput. Appl. Math., 2014

Large-scale linear nonparallel support vector machine solver.

Yingjie Tian, Qin Zhang, Yuan Ping

Neurocomputing, 2014

A new classification model using privileged information and its application.

Zhiquan Qi, Yingjie Tian, Yong Shi

Neurocomputing, 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, Shenling Wang, Rongfang Bie, Yingjie Tian

Int. J. Distributed Sens. Networks, 2014

A multi-instance learning algorithm based on nonparallel classifier.

Zhiquan Qi, Yingjie Tian, Xiaodan Yu, Yong Shi

Appl. Math. Comput., 2014

Correlation Analysis for Multiple-dimensional Properties of Water Recourses.

Qin Zhang, Manjin Cheng, Yuhong Xia, Fuqiang Guo, Yingjie Tian

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

Parallel Regularized Multiple-criteria Linear Programming.

Zhiquan Qi, Vassil Alexandrov, Yong Shi, Yingjie Tian

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.

Xuchan Ju, Manjin Cheng, Yuhong Xia, Fuqiang Quo, Yingjie Tian

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

Nonparallel hyperplane support vector machine for PU learning.

Ying Zhang, Xuchan Ju, Yingjie Tian

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

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

Ying Zhang, Yingjie Tian, Zhiquan Qi

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

Deep Twin Support Vector Machine.

Dewei Li, Yingjie Tian, Honggui Xu

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

2013

Robust twin support vector machine for pattern classification.

Zhiquan Qi, Yingjie Tian, Yong Shi

Pattern Recognit., 2013

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

Zhiquan Qi, Yingjie Tian, Yong Shi

Neural Comput. Appl., 2013

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

Zhiquan Qi, Yingjie Tian, Yong Shi

Neural Comput. Appl., 2013

Structural twin support vector machine for classification.

Zhiquan Qi, Yingjie Tian, Yong Shi

Knowl. Based Syst., 2013

Efficient sparse least squares support vector machines for pattern classification.

Yingjie Tian, Xuchan Ju, Zhiquan Qi, Yong Shi

Comput. Math. Appl., 2013

Nonparallel Support Vector Machines for Multiple-Instance Learning.

Qin Zhang, Yingjie Tian, Dalian Liu

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.

Zhiquan Qi, Yingjie Tian, Xiaodan Yu, Yong Shi

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

Local and Global Regularized Twin SVM.

Yanan Wang, Xi Zhao, Yingjie Tian

Proceedings of the International Conference on Computational Science, 2013

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

Zhiquan Qi, Yingjie Tian, Yong Shi, Xiaodan Yu

Proceedings of the International Conference on Computational Science, 2013

2012

Regularized Multiple Criteria Linear Programming via Linear Programming.

Zhiquan Qi, Yingjie Tian, Yong Shi

Proceedings of the International Conference on Computational Science, 2012

Knowledge-based Support Vector Machine Classifiers via Nearest Points.

Xuchan Ju, Yingjie Tian

Proceedings of the International Conference on Computational Science, 2012

Twin support vector machine with Universum data.

Zhiquan Qi, Yingjie Tian, Yong Shi

Neural Networks, 2012

Laplacian twin support vector machine for semi-supervised classification.

Zhiquan Qi, Yingjie Tian, Yong Shi

Neural Networks, 2012

Convex Decomposition Based Cluster Labeling Method for Support Vector Clustering.

Yuan Ping, Yingjie Tian, Yajian Zhou, Yixian Yang

J. Comput. Sci. Technol., 2012

Fast Localized Twin SVM.

Yanan Wang, Yingjie Tian

Proceedings of the Eighth International Conference on Natural Computation, 2012

Regular Multiple Criteria Linear Programming for Semi-supervised Classification.

Zhiquan Qi, Yingjie Tian, Yong Shi

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

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

Zhiquan Qi, Yingjie Tian, Yong Shi

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

Efficient Implementation of Nonparallel Hyperplanes Classifier.

Xu Chan Ju, Ying Jie Tian

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.

Yong Shi, Yingjie Tian, Gang Kou, Yi Peng, Jianping Li

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

AUC Maximizing Support Vector Machines with Feature Selection.

Yingjie Tian, Yong Shi, Xiaojun Chen, Wenjing Chen

Proceedings of the International Conference on Computational Science, 2011

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

Dongling Zhang, Yingjie Tian, Yong Shi

J. Comput. Appl. Math., 2011

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

Xiaofei Zhou, Wenhan Jiang, Yong Shi, Yingjie Tian

Expert Syst. Appl., 2011

Credit card churn forecasting by logistic regression and decision tree.

Guangli Nie, Wei Rowe, Lingling Zhang, Yingjie Tian, Yong Shi

Expert Syst. Appl., 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, Yong Shi

BMC Bioinform., 2011

A Novel Knowledge-Based Twin Support Vector Machine.

Xu Chan Ju, Ying Jie Tian

Proceedings of the Data Mining Workshops (ICDMW), 2011

Rule Extraction from Support Vector Machines and Its Applications.

Sixiao Yang, Ying Jie Tian, Chunhua Zhang

Proceedings of the 2011 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2011

A new rule extraction approach from Support Vector Machines.

Sixiao Yang, Ying Jie Tian

Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

2010

Kernel-based multiple criteria linear programming classifier.

Zhan Zhang, Dongling Zhang, Yingjie Tian

Proceedings of the International Conference on Computational Science, 2010

L_p-norm proximal support vector machine and its applications.

Wen Jing Chen, Ying Jie Tian

Proceedings of the International Conference on Computational Science, 2010

Second Order Cone Programming Formulations for Handling Data with Perturbation.

Zhixia Yang, Yingjie Tian

J. Convergence Inf. Technol., 2010

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

Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Yong Shi

Neurocomputing, 2010

lp-norm support vector machine with CCCP.

Yingjie Tian, Jun Yu, Wenjing Chen

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

2009

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

Zhixia Yang, Yingjie Tian, Naiyang Deng

Neural Comput. Appl., 2009

A class of classification and regression methods by multiobjective programming.

Dongling Zhang, Yong Shi, Yingjie Tian, Meihong Zhu

Frontiers Comput. Sci. China, 2009

Regularized multiple criteria linear programs for classification.

Yong Shi, Yingjie Tian, Xiaojun Chen, Peng Zhang

Sci. China Ser. F Inf. Sci., 2009

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

Kun Zhao, Yingjie Tian, Naiyang Deng

Proceedings of the Advances in Neural Networks, 2009

A New Kernel-Based Classification Algorithm.

Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Peng Zhang, Guangli Nie, Yong Shi

Proceedings of the ICDM 2009, 2009

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

Guangli Nie, Guoxun Wang, Peng Zhang, Yingjie Tian, Yong Shi

Proceedings of the Computational Science, 2009

Smoothing Newton Method for L1 Soft Margin Data Classification Problem.

Weibing Chen, Hongxia Yin, Yingjie Tian

Proceedings of the Computational Science, 2009

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

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

2008

Semi-supervised learning methods for network intrusion detection.

Chuanliang Chen, Yunchao Gong, Yingjie Tian

Proceedings of the IEEE International Conference on Systems, 2008

AODE for Source Code Metrics for Improved Software Maintainability.

Yingjie Tian, Chuanliang Chen, Chunhua Zhang

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

Unconstrained transductive Support Vector Machines and its application.

Yingjie Tian, Yunchuan Sun, Chuanliang Chen, Zhan Zhang

Proceedings of the International Joint Conference on Neural Networks, 2008

Concept Semilattice: Construction and Complexity.

Chengming Qi, Yingjie Tian, Shoumei Cui, Yunchuan Sun

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

Graph-based semi-supervised learning with redundant views.

Yun-Chao Gong, Chuanliang Chen, Yingjie Tian

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

Spam filtering with several novel bayesian classifiers.

Chuanliang Chen, Yingjie Tian, Chunhua Zhang

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

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

Peng Zhang, Yingjie Tian, Xingsen Li, Zhiwang Zhang, Yong Shi

Proceedings of the Computational Science, 2008

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

Chuanliang Chen, Yun-Chao Gong, Yingjie Tian

Proceedings of the Computational Science, 2008

Select Objective Functions for Multiple Criteria Programming Classification.

Peng Zhang, Yingjie Tian, Zhiwang Zhang, Aihua Li, Xingquan Zhu

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.

Dongling Zhang, Yingjie Tian, Peng Zhang

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.

Yong Shi, Yingjie Tian, Xiaojun Chen, Peng Zhang

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.

Kun Zhao, Ying-Jie Tian, Naiyang Deng, Hiroshi Kuwajima, Takashi Washio

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.

Kun Zhao, Yingjie Tian, Naiyang Deng

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

Feature Selection for VIP E-Mail Accounts Analysis.

Zhan Zhang, Yingjie Tian, Yong Shi

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

A Leave-One-Out Bound for <i>nu</i>-Support Vector Regression.

Ruxin Qin, Jing Chen, Naiyang Deng, Yingjie Tian

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

Unconstrained Transductive Support Vector Machines.

Yingjie Tian, Manfu Yan

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

2006

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

Kun Zhao, Ying-Jie Tian, Naiyang Deng

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

2005

Support Vector Classification with Nominal Attributes.

Yingjie Tian, Naiyang Deng

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

A New Support Vector Machine for Multi-class Classification.

Zhiquan Qi, Yingjie Tian, Naiyang Deng

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

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

Zhixia Yang, Naiyang Deng, Yingjie Tian

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.

Yingjie Tian, Naiyang Deng

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.

Yingjie Tian, Zhiquan Qi

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