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2020 – today
- 2025
- [j102]Min Yuan, Yitian Xu
, Jie Zhao:
Multi-instance learning in the presence of positive and unlabeled bags. Expert Syst. Appl. 261: 125551 (2025) - 2024
- [j101]Huiyi Li, Yitian Xu
Support matrix machine with truncated pinball loss for classification. Appl. Soft Comput. 154: 111311 (2024) - [j100]Zongmin Liu
Multi-task label noise learning for classification. Eng. Appl. Artif. Intell. 130: 107714 (2024) - [j99]Hang Yang, Yitian Xu
PRIS: Practical robust invertible network for image steganography. Eng. Appl. Artif. Intell. 133: 108419 (2024) - [j98]Ruonan Liu, Yitian Xu
A log-based non-convex relaxation regularized regression for robust face recognition. Inf. Sci. 667: 120470 (2024) - [j97]Xinpei Su
Imbalanced and missing multi-label data learning with global and local structure. Inf. Sci. 677: 120910 (2024) - [j96]Ziyi Wang, Yitian Xu
A two-stage multi-view partial multi-label learning for enhanced disambiguation. Knowl. Based Syst. 293: 111680 (2024) - [j95]Xinying Pang, Chang Xu, Yitian Xu
MTKSVCR: A novel multi-task multi-class support vector machine with safe acceleration rule. Neural Networks 175: 106317 (2024) - [j94]Hongmei Wang
Sequential safe static and dynamic screening rule for accelerating support tensor machine. Neural Networks 178: 106407 (2024) - [j93]Xuan Zhang, Yitian Xu
Multiple instance learning from similarity-confidence bags. Pattern Recognit. 146: 109984 (2024) - [j92]Zhiji Yang
A safe screening rule with bi-level optimization of ν support vector machine. Pattern Recognit. 155: 110644 (2024) - [j91]Jie Zhao, Yitian Xu:
Multiview Structural Large Margin Classifier and its Safe Acceleration Strategy. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15944-15955 (2024) - [i8]Zhiji Yang, Wanyi Chen, Huan Zhang, Yitian Xu, Lei Shi, Jianhua Zhao:
A Safe Screening Rule with Bi-level Optimization of ν Support Vector Machine. CoRR abs/2403.01769 (2024) - 2023
- [j90]Ting Wang, Yitian Xu
Multi-task twin spheres support vector machine with maximum margin for imbalanced data classification. Appl. Intell. 53(3): 3318-3335 (2023) - [j89]Ran An, Yitian Xu
Multi-task twin bounded support vector machine and its safe screening rule. Appl. Soft Comput. 138: 110188 (2023) - [j88]Mengdan Ma, Yitian Xu
A two-stage gap safe screening rule for multi-label optimal margin distribution machine. Eng. Appl. Artif. Intell. 118: 105653 (2023) - [j87]Peiwei Zhong, Yitian Xu:
Subspace screening rule for multi-label estimator with sparsity-inducing regularization. Neurocomputing 527: 143-154 (2023) - [j86]Min Yuan
Feature screening strategy for non-convex sparse logistic regression with log sum penalty. Inf. Sci. 624: 732-747 (2023) - [j85]Xinying Pang, Yitian Xu
A reconstructed feasible solution-based safe feature elimination rule for expediting multi-task lasso. Inf. Sci. 642: 119142 (2023) - [j84]Yinjie Liu, Jie Zhao
Robust and unbiased positive and unlabeled learning. Knowl. Based Syst. 277: 110819 (2023) - [j83]Hang Yang, Liyang Wang
CovidViT: a novel neural network with self-attention mechanism to detect Covid-19 through X-ray images. Int. J. Mach. Learn. Cybern. 14(3): 973-987 (2023) - [j82]Yahui Wang, Yitian Xu
A non-convex robust small sphere and large margin support vector machine for imbalanced data classification. Neural Comput. Appl. 35(4): 3245-3261 (2023) - [j81]Xinye Wang
Label Pair of Instances-Based Safe Screening for Multilabel Rank Support Vector Machine. IEEE Trans. Syst. Man Cybern. Syst. 53(3): 1907-1919 (2023) - [i7]Hang Yang, Yitian Xu, Xuhua Liu, Xiaodong Ma:
PRIS: Practical robust invertible network for image steganography. CoRR abs/2309.13620 (2023) - [i6]Hang Yang, Yitian Xu, Xuhua Liu:
DKiS: Decay weight invertible image steganography with private key. CoRR abs/2311.18243 (2023) - 2022
- [j80]Xinshuang Xiao, Yitian Xu
A novel self-weighted Lasso and its safe screening rule. Appl. Intell. 52(12): 14465-14477 (2022) - [j79]Zongmin Liu
Multi-task nonparallel support vector machine for classification. Appl. Soft Comput. 124: 109051 (2022) - [j78]Min Yuan
Instance elimination strategy for non-convex multiple-instance support vector machine. Appl. Soft Comput. 129: 109564 (2022) - [j77]Hongmei Wang, Yitian Xu:
A safe double screening strategy for elastic net support vector machine. Inf. Sci. 582: 382-397 (2022) - [j76]Xinying Pang, Ying Zhang, Yitian Xu:
A novel multi-task twin-hypersphere support vector machine for classification. Inf. Sci. 598: 37-56 (2022) - [j75]Fan Xie, Yitian Xu
A safe acceleration method for multi-task twin support vector machine. Int. J. Mach. Learn. Cybern. 13(6): 1713-1728 (2022) - [j74]Renxiu Feng, Yitian Xu
Support matrix machine with pinball loss for classification. Neural Comput. Appl. 34(21): 18643-18661 (2022) - [j73]Xinying Pang
A novel ramp loss-based multi-task twin support vector machine with multi-parameter safe acceleration. Neural Networks 150: 194-212 (2022) - [j72]Hongmei Wang, Kun Jiang, Yitian Xu
Sequential safe feature elimination rule for L1-regularized regression with Kullback-Leibler divergence. Neural Networks 155: 523-535 (2022) - [j71]Xianli Pan
A Safe Feature Elimination Rule for $L_{1}$L1-Regularized Logistic Regression. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4544-4554 (2022) - [j70]Yuzhou Cao, Shuqi Liu, Yitian Xu:
Multi-complementary and unlabeled learning for arbitrary losses and models. Pattern Recognit. 124: 108447 (2022) - [j69]Huiru Wang, Yitian Xu, Zhijian Zhou
Ramp loss KNN-weighted multi-class twin support vector machine. Soft Comput. 26(14): 6591-6618 (2022) - [c8]Jing Wang, Haotian Fan, Xiaoxia Hou, Yitian Xu, Tao Li, Xuechao Lu, Lean Fu:
MSTRIQ: No Reference Image Quality Assessment Based on Swin Transformer with Multi-Stage Fusion. CVPR Workshops 2022: 1268-1277 - [i5]Zongmin Liu, Yitian Xu:
Multi-task nonparallel support vector machine for classification. CoRR abs/2204.02972 (2022) - [i4]Jing Wang, Haotian Fan, Xiaoxia Hou, Yitian Xu, Tao Li, Xuechao Lu, Lean Fu:
MSTRIQ: No Reference Image Quality Assessment Based on Swin Transformer with Multi-Stage Fusion. CoRR abs/2205.10101 (2022) - 2021
- [j68]Hongmei Wang, Yitian Xu
Diagnosis of complications of type 2 diabetes based on weighted multi-label small sphere and large margin machine. Appl. Intell. 51(1): 223-236 (2021) - [j67]Mengdan Ma, Yitian Xu
Multi-parameter safe screening rule for hinge-optimal margin distribution machine. Appl. Intell. 51(4): 2279-2290 (2021) - [j66]Xinshuang Xiao, Yitian Xu
Multi-target regression via self-parameterized Lasso and refactored target space. Appl. Intell. 51(10): 6743-6751 (2021) - [j65]Hongmei Wang, Yitian Xu
Sparse elastic net multi-label rank support vector machine with pinball loss and its applications. Appl. Soft Comput. 104: 107232 (2021) - [j64]Ran An, Yitian Xu
A rough margin-based multi-task ν-twin support vector machine for pattern classification. Appl. Soft Comput. 112: 107769 (2021) - [j63]Weichen Wu, Yitian Xu
A hybrid acceleration strategy for nonparallel support vector machine. Inf. Sci. 546: 543-558 (2021) - [j62]Jie Zhao, Yitian Xu
A two-stage safe screening method for non-convex support vector machine with ramp loss. Knowl. Based Syst. 228: 107250 (2021) - [j61]Ying Zhang
Safe instance screening for primal multi-label ProSVM. Knowl. Based Syst. 229: 107362 (2021) - [j60]Huiru Wang, Yitian Xu, Zhijian Zhou
Twin-parametric margin support vector machine with truncated pinball loss. Neural Comput. Appl. 33(8): 3781-3798 (2021) - [j59]Fan Xie, Xinying Pang, Yitian Xu
Pinball loss-based multi-task twin support vector machine and its safe acceleration method. Neural Comput. Appl. 33(22): 15523-15539 (2021) - [j58]Min Yuan
Instance elimination strategy for non-convex multiple-instance learning using sparse positive bags. Neural Networks 142: 509-521 (2021) - [j57]Min Yuan
Bound estimation-based safe acceleration for maximum margin of twin spheres machine with pinball loss. Pattern Recognit. 114: 107860 (2021) - [j56]Xinying Pang
A Doubly Sparse Multiclass Support Vector Machine With Simultaneous Feature and Sample Screening. IEEE Trans. Syst. Man Cybern. Syst. 51(11): 6911-6925 (2021) - [c7]Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama:
Learning from Similarity-Confidence Data. ICML 2021: 1272-1282 - [i3]Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama:
Learning from Similarity-Confidence Data. CoRR abs/2102.06879 (2021) - [i2]Yuzhou Cao, Lei Feng, Senlin Shu, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama:
Multi-Class Classification from Single-Class Data with Confidences. CoRR abs/2106.08864 (2021) - 2020
- [j55]Yuzhou Cao, Yitian Xu, Junling Du:
Multi-variable estimation-based safe screening rule for small sphere and large margin support vector machine. Knowl. Based Syst. 191: 105223 (2020) - [j54]Xinye Wang
Predicting hypoglycemic drugs of type 2 diabetes based on weighted rank support vector machine. Knowl. Based Syst. 197: 105868 (2020) - [j53]Benshan Mei
Safe sample screening for regularized multi-task learning. Knowl. Based Syst. 204: 106248 (2020) - [j52]Benshan Mei
Multi-task ν-twin support vector machines. Neural Comput. Appl. 32(15): 11329-11342 (2020) - [i1]Yuzhou Cao, Yitian Xu:
Multi-Complementary and Unlabeled Learning for Arbitrary Losses and Models. CoRR abs/2001.04243 (2020)
2010 – 2019
- 2019
- [j51]Yitian Xu, Ying Tian, Xianli Pan, Hongmei Wang:
E-ENDPP: a safe feature selection rule for speeding up Elastic Net. Appl. Intell. 49(2): 592-604 (2019) - [j50]Fan Xie, Yitian Xu:
An efficient regularized K-nearest neighbor structural twin support vector machine. Appl. Intell. 49(12): 4258-4275 (2019) - [j49]Benshan Mei
Multi-task least squares twin support vector machine for classification. Neurocomputing 338: 26-33 (2019) - [j48]Xianli Pan, Yitian Xu:
A safe reinforced feature screening strategy for lasso based on feasible solutions. Inf. Sci. 477: 132-147 (2019) - [j47]Jiang Zhao, Yitian Xu, Hamido Fujita
An improved non-parallel Universum support vector machine and its safe sample screening rule. Knowl. Based Syst. 170: 79-88 (2019) - [j46]Yitian Xu, Yuqun Zhang, Jiang Zhao, Zhiji Yang, Xianli Pan:
KNN-based maximum margin and minimum volume hyper-sphere machine for imbalanced data classification. Int. J. Mach. Learn. Cybern. 10(2): 357-368 (2019) - [j45]Weichen Wu, Yitian Xu
Accelerating improved twin support vector machine with safe screening rule. Int. J. Mach. Learn. Cybern. 10(12): 3587-3600 (2019) - [j44]Qian Wang, Yitian Xu:
Concave-Convex Programming for Ramp Loss-Based Maximum Margin and Minimum Volume Twin Spheres Machine. Neural Process. Lett. 50(2): 1093-1114 (2019) - [j43]Xinying Pang, Xianli Pan, Yitian Xu
Multi-parameter safe sample elimination rule for accelerating nonlinear multi-class support vector machines. Pattern Recognit. 95: 1-11 (2019) - [j42]Xinying Pang, Yitian Xu
A safe screening rule for accelerating weighted twin support vector machine. Soft Comput. 23(17): 7725-7739 (2019) - [j41]Xianli Pan
A Novel and Safe Two-Stage Screening Method for Support Vector Machine. IEEE Trans. Neural Networks Learn. Syst. 30(8): 2263-2274 (2019) - [j40]Hongmei Wang, Xianli Pan
Simultaneous Safe Feature and Sample Elimination for Sparse Support Vector Regression. IEEE Trans. Signal Process. 67(15): 4043-4054 (2019) - 2018
- [j39]Yitian Xu, Qian Wang, Xinying Pang, Ying Tian:
Maximum margin of twin spheres machine with pinball loss for imbalanced data classification. Appl. Intell. 48(1): 23-34 (2018) - [j38]Huiru Wang, Zhijian Zhou, Yitian Xu:
An improved ν-twin bounded support vector machine. Appl. Intell. 48(4): 1041-1053 (2018) - [j37]Zhiji Yang, Yitian Xu:
A safe screening rule for Laplacian support vector machine. Eng. Appl. Artif. Intell. 67: 309-316 (2018) - [j36]Xianli Pan, Xinying Pang, Hongmei Wang, Yitian Xu:
A safe screening based framework for support vector regression. Neurocomputing 287: 163-172 (2018) - [j35]Hongmei Wang, Yitian Xu:
Scaling up twin support vector regression with safe screening rule. Inf. Sci. 465: 174-190 (2018) - [j34]Zhiji Yang, Yitian Xu:
A safe accelerative approach for pinball support vector machine classifier. Knowl. Based Syst. 147: 12-24 (2018) - [j33]Xinying Pang, Chang Xu, Yitian Xu:
Scaling KNN multi-class twin support vector machine via safe instance reduction. Knowl. Based Syst. 148: 17-30 (2018) - [j32]Zhiji Yang, Xianli Pan, Yitian Xu:
Piecewise linear solution path for pinball twin support vector machine. Knowl. Based Syst. 160: 311-324 (2018) - [j31]Yitian Xu, Xiaoyan Li, Xianli Pan, Zhiji Yang:
Asymmetric ν-twin support vector regression. Neural Comput. Appl. 30(12): 3799-3814 (2018) - [j30]Zhiji Yang, Yitian Xu:
A safe sample screening rule for Laplacian twin parametric-margin support vector machine. Pattern Recognit. 84: 1-12 (2018) - [j29]Xianli Pan, Zhiji Yang, Yitian Xu
Safe Screening Rules for Accelerating Twin Support Vector Machine Classification. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1876-1887 (2018) - 2017
- [j28]Jiayi Niu, Jing Chen, Yitian Xu:
Twin support vector regression with Huber loss. J. Intell. Fuzzy Syst. 32(6): 4247-4258 (2017) - [j27]Jiang Zhao, Yitian Xu:
A safe sample screening rule for Universum support vector machines. Knowl. Based Syst. 138: 46-57 (2017) - [j26]Yitian Xu:
Maximum Margin of Twin Spheres Support Vector Machine for Imbalanced Data Classification. IEEE Trans. Cybern. 47(6): 1540-1550 (2017) - [j25]Yitian Xu, Zhiji Yang, Xianli Pan:
A Novel Twin Support-Vector Machine With Pinball Loss. IEEE Trans. Neural Networks Learn. Syst. 28(2): 359-370 (2017) - 2016
- [j24]Yitian Xu, Mei Chen, Zhiji Yang, Guohui Li:
ν-twin support vector machine with Universum data for classification. Appl. Intell. 44(4): 956-968 (2016) - [j23]Jiang Zhao, Zhiji Yang, Yitian Xu:
Nonparallel least square support vector machine for classification. Appl. Intell. 45(4): 1119-1128 (2016) - [j22]Zhiji Yang, Yitian Xu:
Laplacian twin parametric-margin support vector machine for semi-supervised classification. Neurocomputing 171: 325-334 (2016) - [j21]Yitian Xu:
K-nearest neighbor-based weighted multi-class twin support vector machine. Neurocomputing 205: 430-438 (2016) - [j20]Yitian Xu, Mei Chen, Guohui Li:
Least squares twin support vector machine with Universum data for classification. Int. J. Syst. Sci. 47(15): 3637-3645 (2016) - [j19]Xianli Pan, Yitian Xu:
Two effective sample selection methods for support vector machine. J. Intell. Fuzzy Syst. 30(2): 659-670 (2016) - [j18]Yitian Xu, Zhiji Yang, Yuqun Zhang, Xianli Pan, Laisheng Wang:
A maximum margin and minimum volume hyper-spheres machine with pinball loss for imbalanced data classification. Knowl. Based Syst. 95: 75-85 (2016) - 2015
- [j17]Yitian Xu, Xianli Pan, Zhijian Zhou, Zhiji Yang, Yuqun Zhang:
Structural least square twin support vector machine for classification. Appl. Intell. 42(3): 527-536 (2015) - [j16]Yitian Xu, Yuqun Zhang, Zhiji Yang, Xianli Pan, Guohui Li:
Imbalanced and semi-supervised classification for prognosis of ACLF. J. Intell. Fuzzy Syst. 28(2): 737-745 (2015) - [j15]Yitian Xu:
A novel twin support vector regression. J. Inf. Sci. Eng. 31(2): 627-640 (2015) - [j14]Xianli Pan, Yao Luo, Yitian Xu:
K-nearest neighbor based structural twin support vector machine. Knowl. Based Syst. 88: 34-44 (2015) - 2014
- [j13]Yitian Xu, Rui Guo:
An improved ν-twin support vector machine. Appl. Intell. 41(1): 42-54 (2014) - [j12]Yitian Xu, Laisheng Wang:
K-nearest neighbor-based weighted twin support vector regression. Appl. Intell. 41(1): 299-309 (2014) - [j11]Yitian Xu, Rui Guo:
A twin hyper-sphere multi-class classification support vector machine. J. Intell. Fuzzy Syst. 27(4): 1783-1790 (2014) - [j10]Yitian Xu, Xin Lv, Zheng Wang, Laisheng Wang:
A Weighted Least Squares Twin Support Vector Machine. J. Inf. Sci. Eng. 30(6): 1773-1787 (2014) - [j9]Yitian Xu, Jia Yu, Yuqun Zhang:
KNN-based weighted rough ν-twin support vector machine. Knowl. Based Syst. 71: 303-313 (2014) - 2013
- [j8]Yitian Xu, Rui Guo, Laisheng Wang:
A Twin Multi-Class Classification Support Vector Machine. Cogn. Comput. 5(4): 580-588 (2013) - [j7]Yitian Xu, Chunmei Liu:
A rough margin-based one class support vector machine. Neural Comput. Appl. 22(6): 1077-1084 (2013) - 2012
- [j6]Yitian Xu, Laisheng Wang:
A weighted twin support vector regression. Knowl. Based Syst. 33: 92-101 (2012) - [j5]Ping Zhong, Yitian Xu, Yaohong Zhao:
Training twin support vector regression via linear programming. Neural Comput. Appl. 21(2): 399-407 (2012) - [j4]Yitian Xu, Laisheng Wang, Ping Zhong:
A rough margin-based ν-twin support vector machine. Neural Comput. Appl. 21(6): 1307-1317 (2012) - 2011
- [j3]Zhiquan Qi, Yitian Xu, Laisheng Wang, Ye Song:
Online multiple instance boosting for object detection. Neurocomputing 74(10): 1769-1775 (2011) - [j2]Yitian Xu, Laisheng Wang, Ruiyan Zhang:
A dynamic attribute reduction algorithm based on 0-1 integer programming. Knowl. Based Syst. 24(8): 1341-1347 (2011) - 2010
- [j1]Yitian Xu, Haozhi Zhang, Laisheng Wang:
Rough Margin-Based Linear v Support Vector Machine. J. Convergence Inf. Technol. 5(8): 226-232 (2010)
2000 – 2009
- 2009
- [c6]Liming Yang, Laisheng Wang, Yitian Xu, Qun Sun:
Time Series Prediction Based on Generalization Bounds for Support Vector Machine. ISNN (2) 2009: 322-326 - [c5]Yitian Xu, Ling Zhen, Liming Yang, Laisheng Wang:
Classification Algorithm Based on Feature Selection and Samples Selection. ISNN (2) 2009: 631-638 - 2008
- [c4]Zhiquan Qi, Laisheng Wang, Yitian Xu, Ping Zhong:
Robust Object Detection Based on Decision Trees and a New Cascade Architecture. CIMCA/IAWTIC/ISE 2008: 1129-1134 - 2006
- [c3]Yitian Xu, Laisheng Wang, Yanping Sheng:
Rough Set Theory-based Multi-class Decision Attribute Reduction Algorithm and Its Application. IEEE ICCI 2006: 722-725 - [c2]Yitian Xu, Laisheng Wang:
Fuzzy Comprehensive Evaluation Model based on Rough Set Theory. IEEE ICCI 2006: 877-880 - 2005
- [c1]Yitian Xu, Laisheng Wang:
Fault Diagnosis System Based on Rough Set Theory and Support Vector Machine. FSKD (2) 2005: 980-988
Coauthor Index
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