Yingjie Tian - RankMe

247 papers A* 8B 9C 2Misc 14Journal 168Unranked 38

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bidirectional gradient optimization for graph knowledge distillation: Reactivating KL divergence via component decoupling. Inf. Sci. Shaokai Xu, Muyang Li, Yingjie Tian
2026	J	`jnl`	Draw Like an Artist: Complex Scene Generation With Diffusion Model via Composition, Painting, and Retouching. IEEE Trans. Circuits Syst. Video Technol. Minghao Liu, Le Zhang, Yingjie Tian, Xiaochao Qu, Luoqi Liu, Ting Liu
2026	J	`jnl`	Taming polarized fitting: BLINEX-Pcomp with asymmetric risk penalty for robust Pcomp classification. Neural Networks Long Tang, Xin Si, Yingjie Tian, Panos M. Pardalos
2026	J	`jnl`	Watermarking via Gaussian noise modulation in diffusion models. Neurocomputing Yingjie Tian, Xiaoxiao Wang
2025	J	`jnl`	A Comprehensive Survey on Subspace Clustering: Methods and Applications. Artif. Intell. Rev. Jianyu Miao, Xiaochan Zhang, Tiejun Yang, Chao Fan, Yingjie Tian, Yong Shi, Mingliang Xu
2025	J	`jnl`	CLIPRefiner: Enhancing realism and detail in free-hand sketches through semantically-aware optimization. Pattern Recognit. Lett. Yingjie Tian, Minghao Liu, Duo Su
2025	J	`jnl`	Complementary label learning with multi-view data and a semi-supervised labeling mechanism. Pattern Recognit. Long Tang, Yelei Liu, Yingjie Tian, Panos M. Pardalos
2025	J	`jnl`	Recent advances in complementary label learning. Inf. Fusion Yingjie Tian, Haoran Jiang
2025	J	`jnl`	Robust one-class support vector machine. Neural Networks Xiaoxi Zhao, Yingjie Tian, Chonghua Zheng
2025	J	`jnl`	Robust sparse orthogonal basis clustering for unsupervised feature selection. Expert Syst. Appl. Jianyu Miao, Jingjing Zhao, Tiejun Yang, Yingjie Tian, Yong Shi, Mingliang Xu
2025	J	`jnl`	Robustness and orthogonality: Time series forecasting via wavelets. Inf. Sci. Yingjie Tian, Siyu Zhao, Xingyu Zhang
2025	J	`jnl`	Sample selection for noisy partial label learning with interactive contrastive learning. Pattern Recognit. Xiaotong Yu, Shiding Sun, Yingjie Tian
2025	J	`jnl`	Self-adaptive label discovery and multi-view fusion for complementary label learning. Neural Networks Long Tang, Pengfei Yan, Yingjie Tian, Panos M. Pardalos
2025	J	`jnl`	Self-improved multi-view interactive knowledge transfer. Inf. Fusion Saiji Fu, Haonan Wen, Xiaoxiao Wang, Yingjie Tian
2025	J	`jnl`	SketchRefiner: Text-Guided Sketch Refinement Through Latent Diffusion Models. IEEE Trans. Vis. Comput. Graph. Yingjie Tian, Minghao Liu, Haoran Jiang, Yunbin Tu, Duo Su
2024	J	`jnl`	Adaptive robust loss for landmark detection. Inf. Fusion Yingjie Tian, Duo Su, Shilin Li
2024	J	`jnl`	Artificial cheerleading in IEO: Marketing campaign or pump and dump scheme. Inf. Process. Manag. Yingjie Tian, Yuhao Xie
2024	J	`jnl`	ComCo: Complementary supervised contrastive learning for complementary label learning. Neural Networks Haoran Jiang, Zhihao Sun, Yingjie Tian
2024	J	`jnl`	Credit risk assessment method driven by asymmetric loss function. Appl. Soft Comput. Xiaoxi Zhao, Yingjie Tian
2024	A*	`conf`	D CVPR Duo Su, Junjie Hou, Weizhi Gao, Yingjie Tian, Bowen Tang
2024	J	`jnl`	Decoupled graph knowledge distillation: A general logits-based method for learning MLPs on graphs. Neural Networks Yingjie Tian, Shaokai Xu, Muyang Li
2024	J	`jnl`	Decoupled representation for multi-view learning. Pattern Recognit. Shiding Sun, Bo Wang, Yingjie Tian
2024	J	`jnl`	Deep image matting with cross-layer contextual information propagation. Neural Comput. Appl. Fenfen Zhou, Yingjie Tian, Siyu Zhu
2024	J	`jnl`	Draw Like an Artist: Complex Scene Generation with Diffusion Model via Composition, Painting, and Retouching. CoRR Minghao Liu, Le Zhang, Yingjie Tian, Xiaochao Qu, Luoqi Liu, Ting Liu
2024	J	`jnl`	End-to-End Multitask Learning With Vision Transformer. IEEE Trans. Neural Networks Learn. Syst. Yingjie Tian, Kunlong Bai
2024	J	`jnl`	Explicit unsupervised feature selection based on structured graph and locally linear embedding. Expert Syst. Appl. Jianyu Miao, Jingjing Zhao, Tiejun Yang, Chao Fan, Yingjie Tian, Yong Shi, Mingliang Xu
2024	J	`jnl`	Exploiting multi-scale contextual prompt learning for zero-shot semantic segmentation. Displays Yiqi Wang, Yingjie Tian
2024	J	`jnl`	Instance-wise multi-view visual fusion for zero-shot learning. Appl. Soft Comput. Long Tang, Jingtao Zhao, Yingjie Tian, Changhua Yao, Panos M. Pardalos
2024	J	`jnl`	MVQS: Robust multi-view instance-level cost-sensitive learning method for imbalanced data classification. Inf. Sci. Zhaojie Hou, Jingjing Tang, Yan Li, Saiji Fu, Yingjie Tian
2024	J	`jnl`	Multi-step ahead prediction of carbon price movement using time-series privileged information. Expert Syst. Appl. Yingjie Tian, Haonan Wen, Saiji Fu
2024	A*	`conf`	Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes. AAAI Haoran Jiang, Zhihao Sun, Yingjie Tian
2024	J	`jnl`	Rethinking Lightweight Convolutional Neural Networks for Efficient and High-Quality Pavement Crack Detection. IEEE Trans. Intell. Transp. Syst. Kai Li, Jie Yang, Siwei Ma, Bo Wang, Shanshe Wang, Yingjie Tian, Zhiquan Qi
2024	J	`jnl`	Robust two-stage instance-level cost-sensitive learning method for class imbalance problem. Knowl. Based Syst. Jingjing Tang, Yan Li, Zhaojie Hou, Saiji Fu, Yingjie Tian
2024	J	`jnl`	Self-distillation and self-supervision for partial label learning. Pattern Recognit. Xiaotong Yu, Shiding Sun, Yingjie Tian
2024	J	`jnl`	Weakly privileged learning with knowledge extraction. Pattern Recognit. Saiji Fu, Tianyi Dong, Zhaoxin Wang, Yingjie Tian
2023	J	`jnl`	Analysis of investment effect in Xinjiang from the perspective of nontraditional security. Pers. Ubiquitous Comput. Ming Chen, Yuqi Zhang, Saiji Fu, Yingjie Tian
2023	J	`jnl`	CSAST: Content self-supervised and style contrastive learning for arbitrary style transfer. Neural Networks Yuqi Zhang, Yingjie Tian, Junjie Hou
2023	J	`jnl`	Causal multi-label learning for image classification. Neural Networks Yingjie Tian, Kunlong Bai, Xiaotong Yu, Siyu Zhu
2023	J	`jnl`	Coarse-grained privileged learning for classification. Inf. Process. Manag. Saiji Fu, Xiaoxiao Wang, Yingjie Tian, Tianyi Dong, Jingjing Tang, Jicai Li
2023	J	`jnl`	Cost-sensitive learning with modified Stein loss function. Neurocomputing Saiji Fu, Yingjie Tian, Jingjing Tang, Xiaohui Liu
2023	J	`jnl`	Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function. IEEE Trans. Cybern. Kai Li, Bo Wang, Yingjie Tian, Zhiquan Qi
2023	J	`jnl`	GAN-CL: Generative Adversarial Networks for Learning From Complementary Labels. IEEE Trans. Cybern. Jiabin Liu, Hanyuan Hang, Bo Wang, Biao Li, Huadong Wang, Yingjie Tian, Yong Shi
2023	J	`jnl`	Group Recommendation Based on Heterogeneous Graph Algorithm for EBSNs. IEEE Access Yue Wu, Wayne Wei Huang, Lean Yu, Yingjie Tian
2023	J	`jnl`	Improving long-tailed classification by disentangled variance transfer. Internet Things Yingjie Tian, Weizhi Gao, Qin Zhang, Pu Sun, Dongkuan Xu
2023	J	`jnl`	Kernel methods with asymmetric and robust loss function. Expert Syst. Appl. Yingjie Tian, Xiaoxi Zhao, Saiji Fu
2023	J	`jnl`	LLP-GAN: A GAN-Based Algorithm for Learning From Label Proportions. IEEE Trans. Neural Networks Learn. Syst. Jiabin Liu, Bo Wang, Hanyuan Hang, Huadong Wang, Zhiquan Qi, Yingjie Tian, Yong Shi
2023	J	`jnl`	Multi-view cost-sensitive kernel learning for imbalanced classification problem. Neurocomputing Jingjing Tang, Zhaojie Hou, Xiaotong Yu, Saiji Fu, Yingjie Tian
2023	J	`jnl`	Multi-view prototype-based disambiguation for partial label learning. Pattern Recognit. Shiding Sun, Xiaotong Yu, Yingjie Tian
2023	J	`jnl`	Multi-view side information-incorporated tensor completion. Numer. Linear Algebra Appl. Yingjie Tian, Xiaotong Yu, Saiji Fu
2023	J	`jnl`	Partial label learning: Taxonomy, analysis and outlook. Neural Networks Yingjie Tian, Xiaotong Yu, Saiji Fu
2023	J	`jnl`	Robust multi-view learning with the bounded LINEX loss. Neurocomputing Jingjing Tang, Hao He, Saiji Fu, Yingjie Tian, Gang Kou, Shan Xu
2023	J	`jnl`	Robust regression under the general framework of bounded loss functions. Eur. J. Oper. Res. Saiji Fu, Yingjie Tian, Long Tang
2023	J	`jnl`	Shape robustness in style enhanced cross domain semantic segmentation. Pattern Recognit. Siyu Zhu, Yingjie Tian
2023	J	`jnl`	Two-stage training strategy combined with neural network for segmentation of internal mammary artery graft. Biomed. Signal Process. Control. Shiding Sun, Yingjie Tian, Zhiquan Qi, Yang Wu, Weizhi Gao, Yahe Wu
2022	J	`jnl`	A comprehensive survey on regularization strategies in machine learning. Inf. Fusion Yingjie Tian, Yuqi Zhang
2022	J	`jnl`	An uncertainty-oriented cost-sensitive credit scoring framework with multi-objective feature selection. Electron. Commer. Res. Appl. Yiqiong Wu, Wei Huang, Yingjie Tian, Qing Zhu, Lean Yu
2022	J	`jnl`	Asymmetric and robust loss function driven least squares support vector machine. Knowl. Based Syst. Xiaoxi Zhao, Saiji Fu, Yingjie Tian, Kun Zhao
2022	J	`jnl`	Cost sensitive ν-support vector machine with LINEX loss. Inf. Process. Manag. Saiji Fu, Xiaotong Yu, Yingjie Tian
2022	J	`jnl`	Data Boundary and Data Pricing Based on the Shapley Value. IEEE Access Yingjie Tian, Yurong Ding, Saiji Fu, Dalian Liu
2022	J	`jnl`	Image classification with multi-view multi-instance metric learning. Expert Syst. Appl. Jingjing Tang, Dewei Li, Yingjie Tian
2022	A*	`conf`	Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization. ICML Xiang Gao, Yuqi Zhang, Yingjie Tian
2022	J	`jnl`	Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization. CoRR Xiang Gao, Yuqi Zhang, Yingjie Tian
2022	J	`jnl`	Meta-learning approaches for learning-to-learn in deep learning: A survey. Neurocomputing Yingjie Tian, Xiaoxi Zhao, Wei Huang
2022	J	`jnl`	Multi-view Feature Augmentation with Adaptive Class Activation Mapping. CoRR Xiang Gao, Yingjie Tian
2022	J	`jnl`	Multi-view Teacher-Student Network. Neural Networks Yingjie Tian, Shiding Sun, Jingjing Tang
2022	J	`jnl`	Non-tumorous facial pigmentation classification based on multi-view convolutional neural network with attention mechanism. Neurocomputing Yingjie Tian, Shiding Sun, Zhiquan Qi, Ying Liu, Zeyuan Wang
2022	J	`jnl`	Partial Domain Adaptation on Semantic Segmentation. IEEE Trans. Circuits Syst. Video Technol. Yingjie Tian, Siyu Zhu
2022	—	`ed.`	Proceedings of the 8th International Conference on Information Technology and Quantitative Management, ITQM 2020 & 2021, Developing Global Digital Economy after COVID-19, July 9-11, 2021, Chengdu, China ITQM Yubin Liu, Yong Shi, Yong Wang, Daji Ergu, Daniel Berg, James M. Tien, Jianping Li, Yingjie Tian
2022	J	`jnl`	Recent advances on loss functions in deep learning for computer vision. Neurocomputing Yingjie Tian, Duo Su, Stanislao Lauria, Xiaohui Liu
2022	J	`jnl`	SELF-LLP: Self-supervised learning from label proportions with self-ensemble. Pattern Recognit. Jiabin Liu, Zhiquan Qi, Bo Wang, Yingjie Tian, Yong Shi
2021	J	`jnl`	Attention Transfer Network for Nature Image Matting. IEEE Trans. Circuits Syst. Video Technol. Fenfen Zhou, Yingjie Tian, Zhiquan Qi
2021	J	`jnl`	CarNet: A Lightweight and Efficient Encoder-Decoder Architecture for High-quality Road Crack Detection. CoRR Kai Li, Yingjie Tian, Zhiquan Qi
2021	J	`jnl`	Coupling loss and self-used privileged information guided multi-view transfer learning. Inf. Sci. Jingjing Tang, Yiwei He, Yingjie Tian, Dalian Liu, Gang Kou, Fawaz E. Alsaadi
2021	J	`jnl`	Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function. CoRR Kai Li, Bo Wang, Yingjie Tian, Zhiquan Qi
2021	J	`jnl`	Incomplete-view oriented kernel learning method with generalization error bound. Inf. Sci. Yingjie Tian, Saiji Fu, Jingjing Tang
2021	A*	`conf`	Multi-view Feature Augmentation with Adaptive Class Activation Mapping. IJCAI Xiang Gao, Yingjie Tian, Zhiquan Qi
2021	J	`jnl`	Multi-view learning methods with the LINEX loss for pattern classification. Knowl. Based Syst. Jingjing Tang, Weiqi Xu, Jiahui Li, Yingjie Tian, Shan Xu
2021	J	`jnl`	Robust cost-sensitive kernel method with Blinex loss and its applications in credit risk evaluation. Neural Networks Jingjing Tang, Jiahui Li, Weiqi Xu, Yingjie Tian, Xuchan Ju, Jie Zhang
2021	—	`conf`	Sparse Multiple Instance Learning for Elderly People Balance Ability. ITQM Yuqi Zhang, Duo Su, Xiaoxi Zhao, Yingjie Tian
2021	A*	`conf`	Two-stage Training for Learning from Label Proportions. IJCAI Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian
2021	J	`jnl`	Two-stage Training for Learning from Label Proportions. CoRR Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian
2021	J	`jnl`	Valley-loss regular simplex support vector machine for robust multiclass classification. Knowl. Based Syst. Long Tang, Yingjie Tian, Wenjun Li, Panos M. Pardalos
2020	J	`jnl`	A descriptive framework for the field of deep learning applications in medical images. Knowl. Based Syst. Yingjie Tian, Saiji Fu
2020	J	`jnl`	A non-convex semi-supervised approach to opinion spam detection by ramp-one class SVM. Inf. Process. Manag. Yingjie Tian, Mahboubeh Mirzabagheri, Peyman Tirandazi, Seyed Mojtaba Hosseini Bamakan
2020	J	`jnl`	An interpretable regression approach based on bi-sparse optimization. Appl. Intell. Zhiwang Zhang, Guangxia Gao, Tao Yao, Jing He, Yingjie Tian
2020	J	`jnl`	CANet: Concatenated Attention Neural Network for Image Restoration. IEEE Signal Process. Lett. Yingjie Tian, Yiqi Wang, LinRui Yang, Zhiquan Qi
2020	J	`jnl`	Concatenated Attention Neural Network for Image Restoration. CoRR Yingjie Tian, Yiqi Wang, LinRui Yang, Zhiquan Qi
2020	J	`jnl`	Deep learning from label proportions with labeled samples. Neural Networks Yong Shi, Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian
2020	J	`jnl`	Incremental Cost-Sensitive Support Vector Machine With Linear-Exponential Loss. IEEE Access Yue Ma, Kun Zhao, Qi Wang, Yingjie Tian
2020	J	`jnl`	Joint Ranking SVM and Binary Relevance with robust Low-rank learning for multi-label classification. Neural Networks Guoqiang Wu, Ruobing Zheng, Yingjie Tian, Dalian Liu
2020	J	`jnl`	Parallel RMCLP Classification Algorithm and Its Application on the Medical Data. IEEE Trans. Cloud Comput. Zhiquan Qi, Yingjie Tian, Yong Shi, Vassil Alexandrov
2020	J	`jnl`	RPD-GAN: Learning to Draw Realistic Paintings With Generative Adversarial Network. IEEE Trans. Image Process. Xiang Gao, Yingjie Tian, Zhiquan Qi
2020	J	`jnl`	Sparse multiple instance learning with non-convex penalty. Neurocomputing Yuqi Zhang, Haibin Zhang, Yingjie Tian
2020	J	`jnl`	Structural improved regular simplex support vector machine for multiclass classification. Appl. Soft Comput. Long Tang, Yingjie Tian, Wenjun Li, Panos M. Pardalos
2019	J	`jnl`	A novel perspective on multiclass classification: Regular simplex support vector machine. Inf. Sci. Long Tang, Yingjie Tian, Panos M. Pardalos
2019	J	`jnl`	Adaptive FH-SVM for Imbalanced Classification. IEEE Access Qi Wang, Yingjie Tian, Dalian Liu
2019	J	`jnl`	Bi-sparse optimization-based least squares regression. Appl. Soft Comput. Zhiwang Zhang, Jing He, Guangxia Gao, Yingjie Tian
2019	J	`jnl`	Coupling privileged kernel method for multi-view learning. Inf. Sci. Jingjing Tang, Yingjie Tian, Dalian Liu, Gang Kou
2019	—	`conf`	Factor Integration Based on Neural Networks for Factor Investing. ICCS (3) Zhichen Lu, Wen Long, Jiashuai Zhang, Yingjie Tian
2019	J	`jnl`	IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments. IEEE Access Jia Wu, Shirui Pan, Junjun Jiang, Zhihua Cai, Bo Du, Yingjie Tian, Shuaiqiang Wang, Haishuai Wang
2019	J	`jnl`	Joint Ranking SVM and Binary Relevance with Robust Low-Rank Learning for Multi-Label Classification. CoRR Guoqiang Wu, Ruobing Zheng, Yingjie Tian, Dalian Liu
2019	J	`jnl`	LGND: a new method for multi-class novelty detection. Neural Comput. Appl. Jingjing Tang, Yingjie Tian, Xiaohui Liu
2019	J	`jnl`	LINEX Support Vector Machine for Large-Scale Classification. IEEE Access Yue Ma, Qin Zhang, Dewei Li, Yingjie Tian
2019	J	`jnl`	Large-scale structural learning and predicting via hashing approximation. Neural Comput. Appl. Dandan Chen, Yingjie Tian
2019	A*	`conf`	Learning from Label Proportions with Generative Adversarial Networks. NeurIPS Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi
2019	J	`jnl`	Learning from Label Proportions with Generative Adversarial Networks. CoRR Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi
2019	J	`jnl`	Multi-task feature selection with sparse regularization to extract common and task-specific features. Neurocomputing Jiashuai Zhang, Jianyu Miao, Kun Zhao, Yingjie Tian
2019	—	`conf`	Multi-view SVM Classification with Feature Selection. ITQM Yuting Niu, Yuan Shang, Yingjie Tian
2019	J	`jnl`	Multi-view transfer learning with privileged learning framework. Neurocomputing Yiwei He, Yingjie Tian, Dalian Liu
2019	J	`jnl`	Sparse multi-criteria optimization classifier for credit risk evaluation. Soft Comput. Zhiwang Zhang, Jing He, Guangxia Gao, Yingjie Tian
2019	J	`jnl`	Structured Output Prediction Using Privileged Information. IEEE Access Chunhua Zhang, Shiding Sun, Yingjie Tian, Zeyuan Wang
2018	—	`conf`	A New Method for Structured Learning with Privileged Information. ICCS (2) Shiding Sun, Chunhua Zhang, Yingjie Tian
2018	J	`jnl`	A divide-and-conquer method for large scale ν-nonparallel support vector machines. Neural Comput. Appl. Xuchan Ju, Yingjie Tian
2018	J	`jnl`	A unified framework implementing linear binary relevance for multi-label learning. Neurocomputing Guoqiang Wu, Yingjie Tian, Chunhua Zhang
2018	J	`jnl`	Adaboost-LLP: A Boosting Method for Learning With Label Proportions. IEEE Trans. Neural Networks Learn. Syst. Zhiquan Qi, Fan Meng, Yingjie Tian, Lingfeng Niu, Yong Shi, Peng Zhang
2018	—	`ed.`	Computational Science - ICCS 2018 - 18th International Conference, Wuxi, China, June 11-13, 2018 Proceedings, Part III ICCS (3) Yong Shi, Haohuan Fu, Yingjie Tian, Valeria V. Krzhizhanovskaya, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot
2018	—	`ed.`	Computational Science - ICCS 2018 - 18th International Conference, Wuxi, China, June 11-13, 2018, Proceedings, Part I ICCS (1) Yong Shi, Haohuan Fu, Yingjie Tian, Valeria V. Krzhizhanovskaya, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot
2018	—	`ed.`	Computational Science - ICCS 2018 - 18th International Conference, Wuxi, China, June 11-13, 2018, Proceedings, Part II ICCS (2) Yong Shi, Haohuan Fu, Yingjie Tian, Valeria V. Krzhizhanovskaya, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot
2018	J	`jnl`	Cost-sensitive multi-label learning with positive and negative label pairwise correlations. Neural Networks Guoqiang Wu, Yingjie Tian, Dalian Liu
2018	J	`jnl`	Improved least squares support vector machine based on metric learning. Neural Comput. Appl. Dewei Li, Yingjie Tian
2018	J	`jnl`	Improved multi-view privileged support vector machine. Neural Networks Jingjing Tang, Yingjie Tian, Xiaohui Liu, Dewei Li, Jia Lv, Gang Kou
2018	B	`conf`	Large-Scale Linear NPSVM via One Permutation Hashing. IJCNN Jingjing Tang, Yingjie Tian, Dalian Liu
2018	J	`jnl`	Large-scale linear nonparallel SVMs. Soft Comput. Dalian Liu, Dewei Li, Yong Shi, Yingjie Tian
2018	J	`jnl`	Multi-view learning based on nonparallel support vector machine. Knowl. Based Syst. Jingjing Tang, Dewei Li, Yingjie Tian, Dalian Liu
2018	J	`jnl`	Multiview Privileged Support Vector Machines. IEEE Trans. Neural Networks Learn. Syst. Jingjing Tang, Yingjie Tian, Peng Zhang, Xiaohui Liu
2018	J	`jnl`	Nonparallel support vector regression model and its SMO-type solver. Neural Networks Long Tang, Yingjie Tian, Chunyan Yang
2018	—	`conf`	Online Robust Lagrangian Support Vector Machine against Adversarial Attack. ITQM Yue Ma, Yiwei He, Yingjie Tian
2018	J	`jnl`	Pedestrian detection based on the privileged information. Neural Comput. Appl. Fan Meng, Zhiquan Qi, Yingjie Tian, Lingfeng Niu
2018	B	`conf`	Privileged Multi-Target Support Vector Regression. ICPR Guoqiang Wu, Yingjie Tian, Dalian Liu
2018	—	`ed.`	Proceedings of the 6th International Conference on Information Technology and Quantitative Management, ITQM 2018, Advanced Information Technology and Global Business Competition, October 20-21, 2018, Omaha, Nebraska, USA ITQM Yong Shi, Peter Wolcott, Wikil Kwak, Zhengxin Chen, Yingjie Tian, Heeseok Lee
2018	J	`jnl`	Ramp loss one-class support vector machine; A robust and effective approach to anomaly detection problems. Neurocomputing Yingjie Tian, Mahboubeh Mirzabagheri, Seyed Mojtaba Hosseini Bamakan, Huadong Wang, Qiang Qu
2018	J	`jnl`	Ramp-loss nonparallel support vector regression: Robust, sparse and scalable approximation. Knowl. Based Syst. Long Tang, Yingjie Tian, Chunyan Yang, Panos M. Pardalos
2018	J	`jnl`	Survey and experimental study on metric learning methods. Neural Networks Dewei Li, Yingjie Tian
2018	J	`jnl`	Unsupervised Domain Adaptation Using Exemplar-SVMs with Adaptation Regularization. Complex. Yiwei He, Yingjie Tian, Jingjing Tang, Yue Ma
2017	J	`jnl`	A multi-kernel framework with nonparallel support vector machine. Neurocomputing Jingjing Tang, Yingjie Tian
2017	J	`jnl`	FRSVC: Towards making support vector clustering consume less. Pattern Recognit. Yuan Ping, Yingjie Tian, Chun Guo, Baocang Wang, Yuehua Yang
2017	J	`jnl`	Global and local metric learning via eigenvectors. Knowl. Based Syst. Dewei Li, Yingjie Tian
2017	B	`conf`	Metric learning for multi-instance classification with collapsed bags. IJCNN Dewei Li, Dongkuan Xu, Jingjing Tang, Yingjie Tian
2017	B	`conf`	Multi-view deep metric learning for image classification. ICIP Dewei Li, Jingjing Tang, Yingjie Tian, Xuchan Ju
2017	J	`jnl`	Nonparallel Support Vector Ordinal Regression. IEEE Trans. Cybern. Huadong Wang, Yong Shi, Lingfeng Niu, Yingjie Tian
2017	J	`jnl`	Nonsmooth Penalized Clustering via ℓ IEEE Trans. Cybern. Lingfeng Niu, Ruizhi Zhou, Yingjie Tian, Zhiquan Qi, Peng Zhang
2017	—	`ed.`	Proceedings of the 5th International Conference on Information Technology and Quantitative Management, ITQM 2017, Creating Knowledge and Wisdom via Big Data Analytics, December 8-10, 2017, New Delhi, India ITQM Vandana Ahuja, Yong Shi, Deepak Khazanchi, Naseem Abidi, Yingjie Tian, Daniel Berg, James M. Tien
2017	J	`jnl`	SALE: Self-adaptive LSH encoding for multi-instance learning. Pattern Recognit. Dongkuan Xu, Jia Wu, Dewei Li, Yingjie Tian, Xingquan Zhu, Xindong Wu
2017	B	`conf`	Stochastic gradient descent for large-scale linear nonparallel SVM. WI Jingjing Tang, Yingjie Tian, Guoqiang Wu, Dewei Li
2017	J	`jnl`	Support vector machine classifier with truncated pinball loss. Pattern Recognit. Xin Shen, Lingfeng Niu, Zhiquan Qi, Yingjie Tian
2016	J	`jnl`	A divide-and-combine method for large scale nonparallel support vector machines. Neural Networks Yingjie Tian, Xuchan Ju, Yong Shi
2016	J	`jnl`	An effective intrusion detection framework based on MCLP/SVM optimized by time-varying chaos particle swarm optimization. Neurocomputing Seyed Mojtaba Hosseini Bamakan, Huadong Wang, Yingjie Tian, Yong Shi
2016	J	`jnl`	Multi-view metric learning for multi-instance image classification. CoRR Dewei Li, Yingjie Tian
2016	J	`jnl`	PIGMIL: Positive Instance Detection via Graph Updating for Multiple Instance Learning. CoRR Dongkuan Xu, Jia Wu, Wei Zhang, Yingjie Tian
2016	Misc	`conf`	Ramp Loss Linear Programming Nonparallel Support Vector Machine. ICCS Dalian Liu, Dandan Chen, Yong Shi, Yingjie Tian
2016	J	`jnl`	Ramp loss least squares support vector machine. J. Comput. Sci. Dalian Liu, Yong Shi, Yingjie Tian, Xiankai Huang
2016	J	`jnl`	Semi-supervised support vector classification with self-constructed Universum. Neurocomputing Yingjie Tian, Ying Zhang, Dalian Liu
2016	J	`jnl`	Structural nonparallel support vector machine for pattern recognition. Pattern Recognit. Dandan Chen, Yingjie Tian, Xiaohui Liu
2016	J	`jnl`	Two-phase multi-kernel LP-SVR for feature sparsification and forecasting. Neurocomputing Zhiwang Zhang, Guangxia Gao, Yingjie Tian, Jue Yue
2016	A*	`conf`	Unsupervised Feature Learning from Time Series. IJCAI Qin Zhang, Jia Wu, Hong Yang, Yingjie Tian, Chengqi Zhang
2016	J	`jnl`	When Ensemble Learning Meets Deep Learning: a New Deep Support Vector Machine for Classification. Knowl. Based Syst. Zhiquan Qi, Bo Wang, Yingjie Tian, Peng Zhang
2016	—	`conf`	v-Structural Nonparallel Support Vector Machine for Pattern Classification. WI Workshops Dandan Chen, Yingjie Tian
2015	—	`conf`	Alternating Direction Method of Multipliers for Nonparallel Support Vector Machines. ICDM Workshops Xin Shen, Lingfeng Niu, Yingjie Tian, Yong Shi
2015	J	`jnl`	An Extension Collaborative Innovation Model in the Context of Big Data. Int. J. Inf. Technol. Decis. Mak. Xingsen Li, Yingjie Tian, Florentin Smarandache, Rajan Alex
2015	J	`jnl`	Big Data and Knowledge Extraction for Cyber-Physical Systems. Int. J. Distributed Sens. Networks Xiuzhen Cheng, Yunchuan Sun, Antonio J. Jara, Houbing Song, Yingjie Tian
2015	—	`conf`	Connected bit minwise hashing for large-scale linear SVM. FSKD Jingjing Tang, Yingjie Tian, Dalian Liu
2015	C	`ed.`	Data Science - Second International Conference, ICDS 2015 Sydney, Australia, August 8-9, 2015. Proceedings ICDS Chengqi Zhang, Wei Huang, Yong Shi, Philip S. Yu, Yangyong Zhu, Yingjie Tian, Peng Zhang, Jing He
2015	J	`jnl`	Fast and scalable support vector clustering for large-scale data analysis. Knowl. Inf. Syst. Yuan Ping, Yun Feng Chang, Yajian Zhou, Yingjie Tian, Yixian Yang, Zhili Zhang
2015	—	`conf`	Multi-Dimensional Critical Control of Water Resource in Bayannur. ITQM Xuchan Ju, Yingjie Tian, Dalian Liu, Manjin Cheng, Yuhong Xia, Fuqiang Quo
2015	J	`jnl`	Multi-kernel multi-criteria optimization classifier with fuzzification and penalty factors for predicting biological activity. Knowl. Based Syst. Zhiwang Zhang, Guangxia Gao, Yingjie Tian
2015	Misc	`conf`	Nonparallel Hyperplanes Support Vector Machine for Multi-class Classification. ICCS Xuchan Ju, Yingjie Tian, Dalian Liu, Zhiquan Qi
2015	—	`conf`	Pedestrian Detection Using Privileged Information. ICDM Workshops Zhiquan Qi, Yingjie Tian, Lingfeng Niu, Fan Meng, Limeng Cui, Yong Shi
2015	J	`jnl`	Ramp loss nonparallel support vector machine for pattern classification. Knowl. Based Syst. Dalian Liu, Yong Shi, Yingjie Tian
2015	J	`jnl`	Semi-supervised classification with privileged information. Int. J. Mach. Learn. Cybern. Zhiquan Qi, Yingjie Tian, Lingfeng Niu, Bo Wang
2015	J	`jnl`	Successive Overrelaxation for Laplacian Support Vector Machine. IEEE Trans. Neural Networks Learn. Syst. Zhiquan Qi, Yingjie Tian, Yong Shi
2015	J	`jnl`	Twin support vector machine in linear programs. J. Comput. Sci. Dewei Li, Yingjie Tian
2015	—	`conf`	f-Fractional Bit Minwise Hashing for Large-Scale Learning. WI-IAT (3) Jingjing Tang, Yingjie Tian
2014	J	`jnl`	A multi-instance learning algorithm based on nonparallel classifier. Appl. Math. Comput. Zhiquan Qi, Yingjie Tian, Xiaodan Yu, Yong Shi
2014	J	`jnl`	A new classification model using privileged information and its application. Neurocomputing Zhiquan Qi, Yingjie Tian, Yong Shi
2014	J	`jnl`	A nonparallel support vector machine for a classification problem with universum learning. J. Comput. Appl. Math. Zhiquan Qi, Yingjie Tian, Yong Shi
2014	—	`conf`	Biased Support Vector Machine with Self-Constructed Universum for PU Learning. ICDM Workshops Ying Zhang, Yingjie Tian, Zhiquan Qi
2014	—	`conf`	Correlation Analysis for Multiple-dimensional Properties of Water Recourses. ITQM Qin Zhang, Manjin Cheng, Yuhong Xia, Fuqiang Guo, Yingjie Tian
2014	—	`conf`	Deep Twin Support Vector Machine. ICDM Workshops Dewei Li, Yingjie Tian, Honggui Xu
2014	J	`jnl`	Efficient sparse nonparallel support vector machines for classification. Neural Comput. Appl. Yingjie Tian, Xuchan Ju, Zhiquan Qi
2014	J	`jnl`	Large-scale linear nonparallel support vector machine solver. Neurocomputing Yingjie Tian, Qin Zhang, Yuan Ping
2014	J	`jnl`	Large-scale linear nonparallel support vector machine solver. Neural Networks Yingjie Tian, Yuan Ping
2014	J	`jnl`	Nonparallel Support Vector Machines for Pattern Classification. IEEE Trans. Cybern. Yingjie Tian, Zhiquan Qi, Xuchan Ju, Yong Shi, Xiaohui Liu
2014	Misc	`conf`	Nonparallel hyperplane support vector machine for PU learning. ICNC Ying Zhang, Xuchan Ju, Yingjie Tian
2014	J	`jnl`	Organizing and Querying the Big Sensing Data with Event-Linked Network in the Internet of Things. Int. J. Distributed Sens. Networks Yunchuan Sun, Hongli Yan, Junsheng Zhang, Ye Xia, Shenling Wang, Rongfang Bie, Yingjie Tian
2014	—	`conf`	Parallel Regularized Multiple-criteria Linear Programming. ITQM Zhiquan Qi, Vassil Alexandrov, Yong Shi, Yingjie Tian
2014	J	`jnl`	Regularized multiple-criteria linear programming with universum and its application. Neural Comput. Appl. Zhiquan Qi, Yingjie Tian, Yong Shi
2014	J	`jnl`	Self-Universum support vector machine. Pers. Ubiquitous Comput. Dalian Liu, Yingjie Tian, Rongfang Bie, Yong Shi
2014	—	`conf`	Support Vector Regression and Time Series Analysis for the Forecasting of Bayannur's Total Water Requirement. ITQM Xuchan Ju, Manjin Cheng, Yuhong Xia, Fuqiang Quo, Yingjie Tian
2014	Misc	`conf`	Twin Support Vector Machine in Linear Programs. ICCS Dewei Li, Yingjie Tian
2014	J	`jnl`	ν-Nonparallel support vector machine for pattern classification. Neural Comput. Appl. Yingjie Tian, Qin Zhang, Dalian Liu
2013	Misc	`conf`	Cost-Sensitive Support Vector Machine for Semi-Supervised Learning. ICCS Zhiquan Qi, Yingjie Tian, Yong Shi, Xiaodan Yu
2013	J	`jnl`	Efficient railway tracks detection and turnouts recognition method using HOG features. Neural Comput. Appl. Zhiquan Qi, Yingjie Tian, Yong Shi
2013	J	`jnl`	Efficient sparse least squares support vector machines for pattern classification. Comput. Math. Appl. Yingjie Tian, Xuchan Ju, Zhiquan Qi, Yong Shi
2013	—	`conf`	How to Improve the Quality of Pedestrian Detection Using the Priori Knowledge. ICDM Workshops Zhiquan Qi, Yingjie Tian, Xiaodan Yu, Yong Shi
2013	Misc	`conf`	Local and Global Regularized Twin SVM. ICCS Yanan Wang, Xi Zhao, Yingjie Tian
2013	J	`jnl`	Multi-instance classification based on regularized multiple criteria linear programming. Neural Comput. Appl. Zhiquan Qi, Yingjie Tian, Yong Shi
2013	—	`conf`	Nonparallel Support Vector Machines for Multiple-Instance Learning. ITQM Qin Zhang, Yingjie Tian, Dalian Liu
2013	—	`ed.`	Proceedings of the First International Conference on Information Technology and Quantitative Management, ITQM 2013, Dushu Lake Hotel, Sushou, China, 16-18 May, 2013 ITQM Yong Shi, Youmin Xi, Peter Wolcott, Yingjie Tian, Jianping Li, Daniel Berg, Zhengxin Chen, Enrique Herrera-Viedma, Gang Kou, Heeseok Lee, Yi Peng, Lean Yu
2013	J	`jnl`	Robust twin support vector machine for pattern classification. Pattern Recognit. Zhiquan Qi, Yingjie Tian, Yong Shi
2013	J	`jnl`	Structural twin support vector machine for classification. Knowl. Based Syst. Zhiquan Qi, Yingjie Tian, Yong Shi
2012	—	`conf`	A Simple and Fast Multi-instance Classification via Support Vector Machine. Web Intelligence/IAT Workshops Zhiquan Qi, Yingjie Tian, Yong Shi
2012	J	`jnl`	Convex Decomposition Based Cluster Labeling Method for Support Vector Clustering. J. Comput. Sci. Technol. Yuan Ping, Yingjie Tian, Yajian Zhou, Yixian Yang
2012	—	`conf`	Efficient sparse least squares support vector machines for pattern classification. FSKD Yingjie Tian, Xuchan Ju, Zhiquan Qi, Yong Shi
2012	Misc	`conf`	Fast Localized Twin SVM. ICNC Yanan Wang, Yingjie Tian
2012	Misc	`conf`	Knowledge-based Support Vector Machine Classifiers via Nearest Points. ICCS Xuchan Ju, Yingjie Tian
2012	J	`jnl`	Laplacian twin support vector machine for semi-supervised classification. Neural Networks Zhiquan Qi, Yingjie Tian, Yong Shi
2012	—	`conf`	Regular Multiple Criteria Linear Programming for Semi-supervised Classification. ICDM Workshops Zhiquan Qi, Yingjie Tian, Yong Shi
2012	Misc	`conf`	Regularized Multiple Criteria Linear Programming via Linear Programming. ICCS Zhiquan Qi, Yingjie Tian, Yong Shi
2012	J	`jnl`	Twin support vector machine with Universum data. Neural Networks Zhiquan Qi, Yingjie Tian, Yong Shi
2011	J	`jnl`	A group of knowledge-incorporated multiple criteria linear programming classifiers. J. Comput. Appl. Math. Dongling Zhang, Yingjie Tian, Yong Shi
2011	Misc	`conf`	AUC Maximizing Support Vector Machines with Feature Selection. ICCS Yingjie Tian, Yong Shi, Xiaojun Chen, Wenjing Chen
2011	J	`jnl`	Credit card churn forecasting by logistic regression and decision tree. Expert Syst. Appl. Guangli Nie, Wei Rowe, Lingling Zhang, Yingjie Tian, Yong Shi
2011	J	`jnl`	Credit risk evaluation with kernel-based affine subspace nearest points learning method. Expert Syst. Appl. Xiaofei Zhou, Wenhan Jiang, Yong Shi, Yingjie Tian
2011	—	`book`	Optimization Based Data Mining: Theory and Applications. Yong Shi, Yingjie Tian, Gang Kou, Yi Peng, Jianping Li
2011	J	`jnl`	Rigorous assessment and integration of the sequence and structure based features to predict hot spots. BMC Bioinform. Ruoying Chen, Wenjing Chen, Sixiao Yang, Di Wu, Yong Wang, Yingjie Tian, Yong Shi
2010	J	`jnl`	Kernel subclass convex hull sample selection method for SVM on face recognition. Neurocomputing Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Yong Shi
2010	Misc	`conf`	Kernel-based multiple criteria linear programming classifier. ICCS Zhan Zhang, Dongling Zhang, Yingjie Tian
2010	J	`jnl`	Second Order Cone Programming Formulations for Handling Data with Perturbation. J. Convergence Inf. Technol. Zhixia Yang, Yingjie Tian
2010	—	`conf`	lp-norm support vector machine with CCCP. FSKD Yingjie Tian, Jun Yu, Wenjing Chen
2009	A*	`conf`	A New Kernel-Based Classification Algorithm. ICDM Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Peng Zhang, Guangli Nie, Yong Shi
2009	J	`jnl`	A class of classification and regression methods by multiobjective programming. Frontiers Comput. Sci. China Dongling Zhang, Yong Shi, Yingjie Tian, Meihong Zhu
2009	—	`conf`	Finding the Hidden Pattern of Credit Card Holder's Churn: A Case of China. ICCS (2) Guangli Nie, Guoxun Wang, Peng Zhang, Yingjie Tian, Yong Shi
2009	—	`conf`	Forecasting Model of Mass Incidents in China - An Explorative Research Based on Suppport Vector Machine. BIFE Jiashu Zhou, Erping Wang, Yiwen Chen, Xuanna Wu, Yujie Ma, Yingjie Tian
2009	J	`jnl`	Leave-one-out bounds for support vector ordinal regression machine. Neural Comput. Appl. Zhixia Yang, Yingjie Tian, Naiyang Deng
2009	J	`jnl`	Regularized multiple criteria linear programs for classification. Sci. China Ser. F Inf. Sci. Yong Shi, Yingjie Tian, Xiaojun Chen, Peng Zhang
2009	—	`conf`	Robust Unsupervised and Semi-supervised Bounded v - Support Vector Machines. ISNN (2) Kun Zhao, Yingjie Tian, Naiyang Deng
2009	—	`conf`	Smoothing Newton Method for L1 Soft Margin Data Classification Problem. ICCS (2) Weibing Chen, Hongxia Yin, Yingjie Tian
2008	—	`conf`	AODE for Source Code Metrics for Improved Software Maintainability. SKG Yingjie Tian, Chuanliang Chen, Chunhua Zhang
2008	—	`conf`	Concept Semilattice: Construction and Complexity. ICYCS Chengming Qi, Yingjie Tian, Shoumei Cui, Yunchuan Sun
2008	B	`conf`	Graph-based semi-supervised learning with redundant views. ICPR Yun-Chao Gong, Chuanliang Chen, Yingjie Tian
2008	—	`conf`	KCK-Means: A Clustering Method Based on Kernel Canonical Correlation Analysis. ICCS (1) Chuanliang Chen, Yun-Chao Gong, Yingjie Tian
2008	—	`conf`	Kernel-Based Nonparametric Regression Method. Web Intelligence/IAT Workshops Dongling Zhang, Yingjie Tian, Peng Zhang
2008	—	`conf`	Select Objective Functions for Multiple Criteria Programming Classification. Web Intelligence/IAT Workshops Peng Zhang, Yingjie Tian, Zhiwang Zhang, Aihua Li, Xingquan Zhu
2008	—	`conf`	Select Representative Samples for Regularized Multiple-Criteria Linear Programming Classification. ICCS (2) Peng Zhang, Yingjie Tian, Xingsen Li, Zhiwang Zhang, Yong Shi
2008	B	`conf`	Semi-supervised learning methods for network intrusion detection. SMC Chuanliang Chen, Yunchao Gong, Yingjie Tian
2008	B	`conf`	Spam filtering with several novel bayesian classifiers. ICPR Chuanliang Chen, Yingjie Tian, Chunhua Zhang
2008	B	`conf`	Unconstrained transductive Support Vector Machines and its application. IJCNN Yingjie Tian, Yunchuan Sun, Chuanliang Chen, Zhan Zhang
2007	Misc	`conf`	A Leave-One-Out Bound for International Conference on Computational Science (3) Ruxin Qin, Jing Chen, Naiyang Deng, Yingjie Tian
2007	—	`conf`	A Regularized Multiple Criteria Linear Program for Classification. ICDM Workshops Yong Shi, Yingjie Tian, Xiaojun Chen, Peng Zhang
2007	Misc	`conf`	Feature Selection for VIP E-Mail Accounts Analysis. International Conference on Computational Science (3) Zhan Zhang, Yingjie Tian, Yong Shi
2007	—	`conf`	Unconstrained Transductive Support Vector Machines. FSKD (2) Yingjie Tian, Manfu Yan
2007	Misc	`conf`	Unsupervised and Semi-supervised Lagrangian Support Vector Machines. International Conference on Computational Science (3) Kun Zhao, Yingjie Tian, Naiyang Deng
2005	—	`conf`	A Multi-class Classification Algorithm based on Ordinal Regression Machine. CIMCA/IAWTIC Zhixia Yang, Naiyang Deng, Yingjie Tian
2005	C	`conf`	A New Support Vector Machine for Multi-class Classification. CIT Yingjie Tian, Zhiquan Qi
2005	—	`conf`	A New Support Vector Machine for Multi-class Classification. CIS (1) Zhiquan Qi, Yingjie Tian, Naiyang Deng
2005	—	`conf`	Leave-one-out Bounds for Support Vector Regression. CIMCA/IAWTIC Yingjie Tian, Naiyang Deng
2005	—	`conf`	Support Vector Classification with Nominal Attributes. CIS (1) Yingjie Tian, Naiyang Deng