Yitian Xu - RankMe

137 papers A* 1Journal 128Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Class-conditional unbiased loss for single-positive multi-label learning. Appl. Soft Comput. Xinpei Su, Zhuojun Han, Yitian Xu
2026	J	`jnl`	Efficient incomplete multi-view tensor clustering through predefined anchor learning. Appl. Soft Comput. Zhuojun Han, Yitian Xu
2026	J	`jnl`	Elastic net twin support vector machine with Universum data and its safe screening rule. Eng. Appl. Artif. Intell. Hongmei Wang, Ping Li, Kun Jiang, Yitian Xu
2026	J	`jnl`	Multi-label Twin support vector machine with probabilistic output and its safe screening rule. Inf. Sci. Bohan Zhang, Xincheng Lv, Chang Xu, Yitian Xu
2026	J	`jnl`	Non-aligned multi-view partial multi-label learning via factor group-sparse regularization. Neurocomputing Ziyi Wang, Yitian Xu
2026	J	`jnl`	Small sphere and large margin support tensor machines for imbalanced tensor data classification. Neural Networks Hexuan Liu, Xiao Li, Yitian Xu
2026	J	`jnl`	Support fully-connected tensor networks machine and its safe screening rule. Expert Syst. Appl. Hongmei Wang, Kun Jiang, Xiao Li, Haoyu He, Yitian Xu
2026	J	`jnl`	Support tensor ring kernel machine with dual-stage acceleration. Pattern Recognit. Xiao Li, Yitian Xu
2025	—	`conf`	Application of BFS and Dijkstra Algorithms in Intelligent Parking Lot Path Planning. BDSIC Xinran Yu, Xiao Huang, Yitian Xu
2025	J	`jnl`	Complementary label learning with scarce annotated information. Knowl. Based Syst. Bing Zhao, Yitian Xu
2025	J	`jnl`	DKiS: Decay weight invertible image steganography with private key. Neural Networks Hang Yang, Yitian Xu, Xuhua Liu
2025	J	`jnl`	Dynamic label relaxation induced discriminative regression for multi-view multi-label classification. Knowl. Based Syst. Jie Zhao, Yitian Xu
2025	J	`jnl`	Fire classification and detection in imbalanced remote sensing images using a three-sphere model combined with YOLOv5. Appl. Soft Comput. Zidong Nie, Yitian Xu, Jie Zhao, Min Yuan
2025	J	`jnl`	Multi-instance learning in the presence of positive and unlabeled bags. Expert Syst. Appl. Min Yuan, Yitian Xu, Jie Zhao
2025	J	`jnl`	Multi-view anchor graph regularization induced unbiased learning for positive and unlabeled problem. Appl. Soft Comput. Jie Zhao, Xiao Li, Yitian Xu, Min Yuan
2025	J	`jnl`	Multiple instance learning with noisy labels based on symmetry loss. Appl. Soft Comput. Xuan Zhang, Yitian Xu, Xuhua Liu
2025	J	`jnl`	Non-conservative screening rule for sparse tensor regression. Pattern Recognit. Ruijie Liu, Yitian Xu
2025	J	`jnl`	Safe and accelerated screening framework for support tensor machines. Neural Networks Xiao Li, Hongmei Wang, Yitian Xu
2025	J	`jnl`	Sparse pinball Universum nonparallel support vector machine and its safe screening rule. Appl. Intell. Hongmei Wang, Ping Li, Yuyan Zheng, Kun Jiang, Yitian Xu
2025	J	`jnl`	Subspace screening rule for low-rank tensor completion with tensor nuclear norm. Neurocomputing Haotian Chen, Yitian Xu
2024	J	`jnl`	A Safe Screening Rule with Bi-level Optimization of ν Support Vector Machine. CoRR Zhiji Yang, Wanyi Chen, Huan Zhang, Yitian Xu, Lei Shi, Jianhua Zhao
2024	J	`jnl`	A log-based non-convex relaxation regularized regression for robust face recognition. Inf. Sci. Ruonan Liu, Yitian Xu
2024	J	`jnl`	A safe screening rule with bi-level optimization of ν support vector machine. Pattern Recognit. Zhiji Yang, Wanyi Chen, Huan Zhang, Yitian Xu, Lei Shi, Jianhua Zhao
2024	J	`jnl`	A two-stage multi-view partial multi-label learning for enhanced disambiguation. Knowl. Based Syst. Ziyi Wang, Yitian Xu
2024	J	`jnl`	Imbalanced and missing multi-label data learning with global and local structure. Inf. Sci. Xinpei Su, Yitian Xu
2024	J	`jnl`	MTKSVCR: A novel multi-task multi-class support vector machine with safe acceleration rule. Neural Networks Xinying Pang, Chang Xu, Yitian Xu
2024	J	`jnl`	Multi-task label noise learning for classification. Eng. Appl. Artif. Intell. Zongmin Liu, Ziyi Wang, Ting Wang, Yitian Xu
2024	J	`jnl`	Multiple instance learning from similarity-confidence bags. Pattern Recognit. Xuan Zhang, Yitian Xu, Xuhua Liu
2024	J	`jnl`	Multiview Structural Large Margin Classifier and its Safe Acceleration Strategy. IEEE Trans. Neural Networks Learn. Syst. Jie Zhao, Yitian Xu
2024	J	`jnl`	PRIS: Practical robust invertible network for image steganography. Eng. Appl. Artif. Intell. Hang Yang, Yitian Xu, Xuhua Liu, Xiaodong Ma
2024	J	`jnl`	Sequential safe static and dynamic screening rule for accelerating support tensor machine. Neural Networks Hongmei Wang, Kun Jiang, Xiao Li, Yitian Xu
2024	J	`jnl`	Support matrix machine with truncated pinball loss for classification. Appl. Soft Comput. Huiyi Li, Yitian Xu
2023	J	`jnl`	A non-convex robust small sphere and large margin support vector machine for imbalanced data classification. Neural Comput. Appl. Yahui Wang, Yitian Xu
2023	J	`jnl`	A reconstructed feasible solution-based safe feature elimination rule for expediting multi-task lasso. Inf. Sci. Xinying Pang, Yitian Xu
2023	J	`jnl`	A two-stage gap safe screening rule for multi-label optimal margin distribution machine. Eng. Appl. Artif. Intell. Mengdan Ma, Yitian Xu
2023	J	`jnl`	CovidViT: a novel neural network with self-attention mechanism to detect Covid-19 through X-ray images. Int. J. Mach. Learn. Cybern. Hang Yang, Liyang Wang, Yitian Xu, Xuhua Liu
2023	J	`jnl`	DKiS: Decay weight invertible image steganography with private key. CoRR Hang Yang, Yitian Xu, Xuhua Liu
2023	J	`jnl`	Feature screening strategy for non-convex sparse logistic regression with log sum penalty. Inf. Sci. Min Yuan, Yitian Xu
2023	J	`jnl`	Label Pair of Instances-Based Safe Screening for Multilabel Rank Support Vector Machine. IEEE Trans. Syst. Man Cybern. Syst. Xinye Wang, Yitian Xu
2023	J	`jnl`	Multi-task twin bounded support vector machine and its safe screening rule. Appl. Soft Comput. Ran An, Yitian Xu, Xuhua Liu
2023	J	`jnl`	Multi-task twin spheres support vector machine with maximum margin for imbalanced data classification. Appl. Intell. Ting Wang, Yitian Xu, Xuhua Liu
2023	J	`jnl`	PRIS: Practical robust invertible network for image steganography. CoRR Hang Yang, Yitian Xu, Xuhua Liu, Xiaodong Ma
2023	J	`jnl`	Robust and unbiased positive and unlabeled learning. Knowl. Based Syst. Yinjie Liu, Jie Zhao, Yitian Xu
2023	J	`jnl`	Subspace screening rule for multi-label estimator with sparsity-inducing regularization. Neurocomputing Peiwei Zhong, Yitian Xu
2022	J	`jnl`	A Safe Feature Elimination Rule for $L_{1}$L1-Regularized Logistic Regression. IEEE Trans. Pattern Anal. Mach. Intell. Xianli Pan, Yitian Xu
2022	J	`jnl`	A novel multi-task twin-hypersphere support vector machine for classification. Inf. Sci. Xinying Pang, Ying Zhang, Yitian Xu
2022	J	`jnl`	A novel ramp loss-based multi-task twin support vector machine with multi-parameter safe acceleration. Neural Networks Xinying Pang, Jiang Zhao, Yitian Xu
2022	J	`jnl`	A novel self-weighted Lasso and its safe screening rule. Appl. Intell. Xinshuang Xiao, Yitian Xu, Ying Zhang, Peiwei Zhong
2022	J	`jnl`	A safe acceleration method for multi-task twin support vector machine. Int. J. Mach. Learn. Cybern. Fan Xie, Yitian Xu, Mengdan Ma, Xinying Pang
2022	J	`jnl`	A safe double screening strategy for elastic net support vector machine. Inf. Sci. Hongmei Wang, Yitian Xu
2022	J	`jnl`	Instance elimination strategy for non-convex multiple-instance support vector machine. Appl. Soft Comput. Min Yuan, Yitian Xu
2022	—	`conf`	MSTRIQ: No Reference Image Quality Assessment Based on Swin Transformer with Multi-Stage Fusion. CVPR Workshops Jing Wang, Haotian Fan, Xiaoxia Hou, Yitian Xu, Tao Li, Xuechao Lu, Lean Fu
2022	J	`jnl`	MSTRIQ: No Reference Image Quality Assessment Based on Swin Transformer with Multi-Stage Fusion. CoRR Jing Wang, Haotian Fan, Xiaoxia Hou, Yitian Xu, Tao Li, Xuechao Lu, Lean Fu
2022	J	`jnl`	Multi-complementary and unlabeled learning for arbitrary losses and models. Pattern Recognit. Yuzhou Cao, Shuqi Liu, Yitian Xu
2022	J	`jnl`	Multi-task nonparallel support vector machine for classification. Appl. Soft Comput. Zongmin Liu, Yitian Xu
2022	J	`jnl`	Multi-task nonparallel support vector machine for classification. CoRR Zongmin Liu, Yitian Xu
2022	J	`jnl`	Ramp loss KNN-weighted multi-class twin support vector machine. Soft Comput. Huiru Wang, Yitian Xu, Zhijian Zhou
2022	J	`jnl`	Sequential safe feature elimination rule for L1-regularized regression with Kullback-Leibler divergence. Neural Networks Hongmei Wang, Kun Jiang, Yitian Xu
2022	J	`jnl`	Support matrix machine with pinball loss for classification. Neural Comput. Appl. Renxiu Feng, Yitian Xu
2021	J	`jnl`	A Doubly Sparse Multiclass Support Vector Machine With Simultaneous Feature and Sample Screening. IEEE Trans. Syst. Man Cybern. Syst. Xinying Pang, Yitian Xu, Xinshuang Xiao
2021	J	`jnl`	A hybrid acceleration strategy for nonparallel support vector machine. Inf. Sci. Weichen Wu, Yitian Xu, Xinying Pang
2021	J	`jnl`	A rough margin-based multi-task ν-twin support vector machine for pattern classification. Appl. Soft Comput. Ran An, Yitian Xu, Xuhua Liu
2021	J	`jnl`	A two-stage safe screening method for non-convex support vector machine with ramp loss. Knowl. Based Syst. Jie Zhao, Yitian Xu, Chang Xu, Ting Wang
2021	J	`jnl`	Bound estimation-based safe acceleration for maximum margin of twin spheres machine with pinball loss. Pattern Recognit. Min Yuan, Yitian Xu
2021	J	`jnl`	Diagnosis of complications of type 2 diabetes based on weighted multi-label small sphere and large margin machine. Appl. Intell. Hongmei Wang, Yitian Xu, Qian Chen, Xinye Wang
2021	J	`jnl`	Instance elimination strategy for non-convex multiple-instance learning using sparse positive bags. Neural Networks Min Yuan, Yitian Xu, Renxiu Feng, Zongmin Liu
2021	A*	`conf`	Learning from Similarity-Confidence Data. ICML Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama
2021	J	`jnl`	Learning from Similarity-Confidence Data. CoRR Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama
2021	J	`jnl`	Multi-Class Classification from Single-Class Data with Confidences. CoRR Yuzhou Cao, Lei Feng, Senlin Shu, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama
2021	J	`jnl`	Multi-parameter safe screening rule for hinge-optimal margin distribution machine. Appl. Intell. Mengdan Ma, Yitian Xu
2021	J	`jnl`	Multi-target regression via self-parameterized Lasso and refactored target space. Appl. Intell. Xinshuang Xiao, Yitian Xu
2021	J	`jnl`	Pinball loss-based multi-task twin support vector machine and its safe acceleration method. Neural Comput. Appl. Fan Xie, Xinying Pang, Yitian Xu
2021	J	`jnl`	Safe instance screening for primal multi-label ProSVM. Knowl. Based Syst. Ying Zhang, Yitian Xu, Chang Xu, Peiwei Zhong
2021	J	`jnl`	Sparse elastic net multi-label rank support vector machine with pinball loss and its applications. Appl. Soft Comput. Hongmei Wang, Yitian Xu
2021	J	`jnl`	Twin-parametric margin support vector machine with truncated pinball loss. Neural Comput. Appl. Huiru Wang, Yitian Xu, Zhijian Zhou
2020	J	`jnl`	Multi-Complementary and Unlabeled Learning for Arbitrary Losses and Models. CoRR Yuzhou Cao, Yitian Xu
2020	J	`jnl`	Multi-task ν-twin support vector machines. Neural Comput. Appl. Benshan Mei, Yitian Xu
2020	J	`jnl`	Multi-variable estimation-based safe screening rule for small sphere and large margin support vector machine. Knowl. Based Syst. Yuzhou Cao, Yitian Xu, Junling Du
2020	J	`jnl`	Predicting hypoglycemic drugs of type 2 diabetes based on weighted rank support vector machine. Knowl. Based Syst. Xinye Wang, Yi Yang, Yitian Xu, Qian Chen, Hongmei Wang, Huafang Gao
2020	J	`jnl`	Safe sample screening for regularized multi-task learning. Knowl. Based Syst. Benshan Mei, Yitian Xu
2019	J	`jnl`	A Novel and Safe Two-Stage Screening Method for Support Vector Machine. IEEE Trans. Neural Networks Learn. Syst. Xianli Pan, Yitian Xu
2019	J	`jnl`	A safe reinforced feature screening strategy for lasso based on feasible solutions. Inf. Sci. Xianli Pan, Yitian Xu
2019	J	`jnl`	A safe screening rule for accelerating weighted twin support vector machine. Soft Comput. Xinying Pang, Yitian Xu
2019	J	`jnl`	Accelerating improved twin support vector machine with safe screening rule. Int. J. Mach. Learn. Cybern. Weichen Wu, Yitian Xu
2019	J	`jnl`	An efficient regularized K-nearest neighbor structural twin support vector machine. Appl. Intell. Fan Xie, Yitian Xu
2019	J	`jnl`	An improved non-parallel Universum support vector machine and its safe sample screening rule. Knowl. Based Syst. Jiang Zhao, Yitian Xu, Hamido Fujita
2019	J	`jnl`	Concave-Convex Programming for Ramp Loss-Based Maximum Margin and Minimum Volume Twin Spheres Machine. Neural Process. Lett. Qian Wang, Yitian Xu
2019	J	`jnl`	E-ENDPP: a safe feature selection rule for speeding up Elastic Net. Appl. Intell. Yitian Xu, Ying Tian, Xianli Pan, Hongmei Wang
2019	J	`jnl`	KNN-based maximum margin and minimum volume hyper-sphere machine for imbalanced data classification. Int. J. Mach. Learn. Cybern. Yitian Xu, Yuqun Zhang, Jiang Zhao, Zhiji Yang, Xianli Pan
2019	J	`jnl`	Multi-parameter safe sample elimination rule for accelerating nonlinear multi-class support vector machines. Pattern Recognit. Xinying Pang, Xianli Pan, Yitian Xu
2019	J	`jnl`	Multi-task least squares twin support vector machine for classification. Neurocomputing Benshan Mei, Yitian Xu
2019	J	`jnl`	Simultaneous Safe Feature and Sample Elimination for Sparse Support Vector Regression. IEEE Trans. Signal Process. Hongmei Wang, Xianli Pan, Yitian Xu
2018	J	`jnl`	A safe accelerative approach for pinball support vector machine classifier. Knowl. Based Syst. Zhiji Yang, Yitian Xu
2018	J	`jnl`	A safe sample screening rule for Laplacian twin parametric-margin support vector machine. Pattern Recognit. Zhiji Yang, Yitian Xu
2018	J	`jnl`	A safe screening based framework for support vector regression. Neurocomputing Xianli Pan, Xinying Pang, Hongmei Wang, Yitian Xu
2018	J	`jnl`	A safe screening rule for Laplacian support vector machine. Eng. Appl. Artif. Intell. Zhiji Yang, Yitian Xu
2018	J	`jnl`	An improved ν-twin bounded support vector machine. Appl. Intell. Huiru Wang, Zhijian Zhou, Yitian Xu
2018	J	`jnl`	Asymmetric ν-twin support vector regression. Neural Comput. Appl. Yitian Xu, Xiaoyan Li, Xianli Pan, Zhiji Yang
2018	J	`jnl`	Maximum margin of twin spheres machine with pinball loss for imbalanced data classification. Appl. Intell. Yitian Xu, Qian Wang, Xinying Pang, Ying Tian
2018	J	`jnl`	Piecewise linear solution path for pinball twin support vector machine. Knowl. Based Syst. Zhiji Yang, Xianli Pan, Yitian Xu
2018	J	`jnl`	Safe Screening Rules for Accelerating Twin Support Vector Machine Classification. IEEE Trans. Neural Networks Learn. Syst. Xianli Pan, Zhiji Yang, Yitian Xu, Laisheng Wang
2018	J	`jnl`	Scaling KNN multi-class twin support vector machine via safe instance reduction. Knowl. Based Syst. Xinying Pang, Chang Xu, Yitian Xu
2018	J	`jnl`	Scaling up twin support vector regression with safe screening rule. Inf. Sci. Hongmei Wang, Yitian Xu
2017	J	`jnl`	A Novel Twin Support-Vector Machine With Pinball Loss. IEEE Trans. Neural Networks Learn. Syst. Yitian Xu, Zhiji Yang, Xianli Pan
2017	J	`jnl`	A safe sample screening rule for Universum support vector machines. Knowl. Based Syst. Jiang Zhao, Yitian Xu
2017	J	`jnl`	Maximum Margin of Twin Spheres Support Vector Machine for Imbalanced Data Classification. IEEE Trans. Cybern. Yitian Xu
2017	J	`jnl`	Twin support vector regression with Huber loss. J. Intell. Fuzzy Syst. Jiayi Niu, Jing Chen, Yitian Xu
2016	J	`jnl`	A maximum margin and minimum volume hyper-spheres machine with pinball loss for imbalanced data classification. Knowl. Based Syst. Yitian Xu, Zhiji Yang, Yuqun Zhang, Xianli Pan, Laisheng Wang
2016	J	`jnl`	K-nearest neighbor-based weighted multi-class twin support vector machine. Neurocomputing Yitian Xu
2016	J	`jnl`	Laplacian twin parametric-margin support vector machine for semi-supervised classification. Neurocomputing Zhiji Yang, Yitian Xu
2016	J	`jnl`	Least squares twin support vector machine with Universum data for classification. Int. J. Syst. Sci. Yitian Xu, Mei Chen, Guohui Li
2016	J	`jnl`	Nonparallel least square support vector machine for classification. Appl. Intell. Jiang Zhao, Zhiji Yang, Yitian Xu
2016	J	`jnl`	Two effective sample selection methods for support vector machine. J. Intell. Fuzzy Syst. Xianli Pan, Yitian Xu
2016	J	`jnl`	ν-twin support vector machine with Universum data for classification. Appl. Intell. Yitian Xu, Mei Chen, Zhiji Yang, Guohui Li
2015	J	`jnl`	A novel twin support vector regression. J. Inf. Sci. Eng. Yitian Xu
2015	J	`jnl`	Imbalanced and semi-supervised classification for prognosis of ACLF. J. Intell. Fuzzy Syst. Yitian Xu, Yuqun Zhang, Zhiji Yang, Xianli Pan, Guohui Li
2015	J	`jnl`	K-nearest neighbor based structural twin support vector machine. Knowl. Based Syst. Xianli Pan, Yao Luo, Yitian Xu
2015	J	`jnl`	Structural least square twin support vector machine for classification. Appl. Intell. Yitian Xu, Xianli Pan, Zhijian Zhou, Zhiji Yang, Yuqun Zhang
2014	J	`jnl`	A Weighted Least Squares Twin Support Vector Machine. J. Inf. Sci. Eng. Yitian Xu, Xin Lv, Zheng Wang, Laisheng Wang
2014	J	`jnl`	A twin hyper-sphere multi-class classification support vector machine. J. Intell. Fuzzy Syst. Yitian Xu, Rui Guo
2014	J	`jnl`	An improved ν-twin support vector machine. Appl. Intell. Yitian Xu, Rui Guo
2014	J	`jnl`	K-nearest neighbor-based weighted twin support vector regression. Appl. Intell. Yitian Xu, Laisheng Wang
2014	J	`jnl`	KNN-based weighted rough ν-twin support vector machine. Knowl. Based Syst. Yitian Xu, Jia Yu, Yuqun Zhang
2013	J	`jnl`	A Twin Multi-Class Classification Support Vector Machine. Cogn. Comput. Yitian Xu, Rui Guo, Laisheng Wang
2013	J	`jnl`	A rough margin-based one class support vector machine. Neural Comput. Appl. Yitian Xu, Chunmei Liu
2012	J	`jnl`	A rough margin-based ν-twin support vector machine. Neural Comput. Appl. Yitian Xu, Laisheng Wang, Ping Zhong
2012	J	`jnl`	A weighted twin support vector regression. Knowl. Based Syst. Yitian Xu, Laisheng Wang
2012	J	`jnl`	Training twin support vector regression via linear programming. Neural Comput. Appl. Ping Zhong, Yitian Xu, Yaohong Zhao
2011	J	`jnl`	A dynamic attribute reduction algorithm based on 0-1 integer programming. Knowl. Based Syst. Yitian Xu, Laisheng Wang, Ruiyan Zhang
2011	J	`jnl`	Online multiple instance boosting for object detection. Neurocomputing Zhiquan Qi, Yitian Xu, Laisheng Wang, Ye Song
2010	J	`jnl`	Rough Margin-Based Linear v Support Vector Machine. J. Convergence Inf. Technol. Yitian Xu, Haozhi Zhang, Laisheng Wang
2009	—	`conf`	Classification Algorithm Based on Feature Selection and Samples Selection. ISNN (2) Yitian Xu, Ling Zhen, Liming Yang, Laisheng Wang
2009	—	`conf`	Time Series Prediction Based on Generalization Bounds for Support Vector Machine. ISNN (2) Liming Yang, Laisheng Wang, Yitian Xu, Qun Sun
2008	—	`conf`	Robust Object Detection Based on Decision Trees and a New Cascade Architecture. CIMCA/IAWTIC/ISE Zhiquan Qi, Laisheng Wang, Yitian Xu, Ping Zhong
2006	—	`conf`	Fuzzy Comprehensive Evaluation Model based on Rough Set Theory. IEEE ICCI Yitian Xu, Laisheng Wang
2006	—	`conf`	Rough Set Theory-based Multi-class Decision Attribute Reduction Algorithm and Its Application. IEEE ICCI Yitian Xu, Laisheng Wang, Yanping Sheng
2005	—	`conf`	Fault Diagnosis System Based on Rough Set Theory and Support Vector Machine. FSKD (2) Yitian Xu, Laisheng Wang