个人简介
教育经历
2004.09.01-2007.07.01，博士，中国农业大学，运筹与管理
2002.09.01，中国农业大学（直博），应用数学
1991.09.01-1995.07.01，学士，山东师范大学，数学教育
工作经历
2007.07.02，中国农业大学
1995.07.01-2004.09.01，莱阳农学院
荣誉及奖励
2022,北京市教学成果二等奖
2022,中国农业大学优秀共产党员
2021,北京市本科毕业论文优秀指导教师
2021,中国农业大学教学成果二等奖(1/8)
2021,中国农业大学教学成果一等奖
2021,中国农业大学“百篇本科毕业论文”优秀指导教师
2020,中国农业大学优秀博士论文指导教师
2020,大创优秀指导教师
2018,中国农业大学第六届教学名师
2018,北京市教学成果二等奖
2017,宝钢优秀教师奖
2016,中国农业大学教学成果一等奖
2016,中国农业大学教学成果二等奖
2016,中国农业大学优秀班主任
2016,中国农业大学十佳优秀硕士论文优秀指导教师
2014,大学生科技创新项目优秀指导教师
2013,中国农业大学“百篇本科毕业论文”优秀指导教师
2013,大学生科技创新项目优秀指导教师
2012,中国农业大学优秀教师
2012,中国农业大学“百篇本科毕业论文”优秀指导教师
2012,大学生科技创新项目优秀指导教师
2012,中国农业大学教学成果二等奖(1/3)
2012,中国农业大学教学成果二等奖
2011,中国农业大学“百篇本科毕业论文”优秀指导教师
2010,中国农业大学“百篇本科毕业论文”优秀指导教师
2009,中国农业大学优秀班主任
近期论文
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Ting Wang, Yitian Xu, Xuhua Liu: Multi-task twin spheres support vector machine with maximum margin for imbalanced data classification. Appl. Intell. 53(3): 3318-3335 (2023)
Ran An, Yitian Xu, Xuhua Liu: Multi-task twin bounded support vector machine and its safe screening rule. Appl. Soft Comput. 138: 110188 (2023)
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)
Peiwei Zhong, Yitian Xu: Subspace screening rule for multi-label estimator with sparsity-inducing regularization. Neurocomputing 527: 143-154 (2023)
Min Yuan, Yitian Xu: Feature screening strategy for non-convex sparse logistic regression with log sum penalty. Inf. Sci. 624: 732-747 (2023)
Hang Yang, Liyang Wang, Yitian Xu, Xuhua Liu: 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)
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)
Xinye Wang, Yitian Xu: Label Pair of Instances-Based Safe Screening for Multilabel Rank Support Vector Machine. IEEE Trans. Syst. Man Cybern. Syst. 53(3): 1907-1919 (2023)
Xinshuang Xiao, Yitian Xu, Ying Zhang, Peiwei Zhong: A novel self-weighted Lasso and its safe screening rule. Appl. Intell. 52(12): 14465-14477 (2022)
Zongmin Liu, Yitian Xu: Multi-task nonparallel support vector machine for classification. Appl. Soft Comput. 124: 109051 (2022)
Min Yuan, Yitian Xu: Instance elimination strategy for non-convex multiple-instance support vector machine. Appl. Soft Comput. 129: 109564 (2022)
Hongmei Wang, Yitian Xu: A safe double screening strategy for elastic net support vector machine. Inf. Sci. 582: 382-397 (2022)
Xinying Pang, Ying Zhang, Yitian Xu: A novel multi-task twin-hypersphere support vector machine for classification. Inf. Sci. 598: 37-56 (2022)
Fan Xie, Yitian Xu, Mengdan Ma, Xinying Pang: A safe acceleration method for multi-task twin support vector machine. Int. J. Mach. Learn. Cybern. 13(6): 1713-1728 (2022)
Renxiu Feng, Yitian Xu: Support matrix machine with pinball loss for classification. Neural Comput. Appl. 34(21): 18643-18661 (2022)
Xinying Pang, Jiang Zhao, Yitian Xu: A novel ramp loss-based multi-task twin support vector machine with multi-parameter safe acceleration. Neural Networks 150: 194-212 (2022)
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)
Xianli Pan, Yitian Xu: A Safe Feature Elimination Rule for $L_{1}$L1-Regularized Logistic Regression. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4544-4554 (2022)
Yuzhou Cao, Shuqi Liu, Yitian Xu: Multi-complementary and unlabeled learning for arbitrary losses and models. Pattern Recognit. 124: 108447 (2022)
Huiru Wang, Yitian Xu, Zhijian Zhou: Ramp loss KNN-weighted multi-class twin support vector machine. Soft Comput. 26(14): 6591-6618 (2022)
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
Zongmin Liu, Yitian Xu: Multi-task nonparallel support vector machine for classification. CoRR abs/2204.02972 (2022)
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)
Hongmei Wang, Yitian Xu, Qian Chen, Xinye Wang: 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)
Mengdan Ma, Yitian Xu: Multi-parameter safe screening rule for hinge-optimal margin distribution machine. Appl. Intell. 51(4): 2279-2290 (2021)
Xinshuang Xiao, Yitian Xu: Multi-target regression via self-parameterized Lasso and refactored target space. Appl. Intell. 51(10): 6743-6751 (2021)
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)
Ran An, Yitian Xu, Xuhua Liu: A rough margin-based multi-task ν-twin support vector machine for pattern classification. Appl. Soft Comput. 112: 107769 (2021)
Weichen Wu, Yitian Xu, Xinying Pang: A hybrid acceleration strategy for nonparallel support vector machine. Inf. Sci. 546: 543-558 (2021)
Jie Zhao, Yitian Xu, Chang Xu, Ting Wang: A two-stage safe screening method for non-convex support vector machine with ramp loss. Knowl. Based Syst. 228: 107250 (2021)
Ying Zhang, Yitian Xu, Chang Xu, Peiwei Zhong: Safe instance screening for primal multi-label ProSVM. Knowl. Based Syst. 229: 107362 (2021)
Huiru Wang, Yitian Xu, Zhijian Zhou: Twin-parametric margin support vector machine with truncated pinball loss. Neural Comput. Appl. 33(8): 3781-3798 (2021)
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)
Min Yuan, Yitian Xu, Renxiu Feng, Zongmin Liu: Instance elimination strategy for non-convex multiple-instance learning using sparse positive bags. Neural Networks 142: 509-521 (2021)
Min Yuan, Yitian Xu: Bound estimation-based safe acceleration for maximum margin of twin spheres machine with pinball loss. Pattern Recognit. 114: 107860 (2021)
Xinying Pang, Yitian Xu, Xinshuang Xiao: A Doubly Sparse Multiclass Support Vector Machine With Simultaneous Feature and Sample Screening. IEEE Trans. Syst. Man Cybern. Syst. 51(11): 6911-6925 (2021)
Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama: Learning from Similarity-Confidence Data. ICML 2021: 1272-1282
Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama: Learning from Similarity-Confidence Data. CoRR abs/2102.06879 (2021)
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)
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)
Xinye Wang, Yi Yang, Yitian Xu, Qian Chen, Hongmei Wang, Huafang Gao: Predicting hypoglycemic drugs of type 2 diabetes based on weighted rank support vector machine. Knowl. Based Syst. 197: 105868 (2020)
Benshan Mei, Yitian Xu: Safe sample screening for regularized multi-task learning. Knowl. Based Syst. 204: 106248 (2020)
Benshan Mei, Yitian Xu: Multi-task ν-twin support vector machines. Neural Comput. Appl. 32(15): 11329-11342 (2020)
Yuzhou Cao, Yitian Xu: Multi-Complementary and Unlabeled Learning for Arbitrary Losses and Models. CoRR abs/2001.04243 (2020)
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)
Fan Xie, Yitian Xu: An efficient regularized K-nearest neighbor structural twin support vector machine. Appl. Intell. 49(12): 4258-4275 (2019)
Benshan Mei, Yitian Xu: Multi-task least squares twin support vector machine for classification. Neurocomputing 338: 26-33 (2019)
Xianli Pan, Yitian Xu: A safe reinforced feature screening strategy for lasso based on feasible solutions. Inf. Sci. 477: 132-147 (2019)
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)
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)
Weichen Wu, Yitian Xu: Accelerating improved twin support vector machine with safe screening rule. Int. J. Mach. Learn. Cybern. 10(12): 3587-3600 (2019)
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)
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)
Xinying Pang, Yitian Xu: A safe screening rule for accelerating weighted twin support vector machine. Soft Comput. 23(17): 7725-7739 (2019)
Xianli Pan, Yitian Xu: A Novel and Safe Two-Stage Screening Method for Support Vector Machine. IEEE Trans. Neural Networks Learn. Syst. 30(8): 2263-2274 (2019)
Hongmei Wang, Xianli Pan, Yitian Xu: Simultaneous Safe Feature and Sample Elimination for Sparse Support Vector Regression. IEEE Trans. Signal Process. 67(15): 4043-4054 (2019)
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)
Huiru Wang, Zhijian Zhou, Yitian Xu: An improved ν-twin bounded support vector machine. Appl. Intell. 48(4): 1041-1053 (2018)
Zhiji Yang, Yitian Xu: A safe screening rule for Laplacian support vector machine. Eng. Appl. Artif. Intell. 67: 309-316 (2018)
Xianli Pan, Xinying Pang, Hongmei Wang, Yitian Xu: A safe screening based framework for support vector regression. Neurocomputing 287: 163-172 (2018)
Hongmei Wang, Yitian Xu: Scaling up twin support vector regression with safe screening rule. Inf. Sci. 465: 174-190 (2018)
Zhiji Yang, Yitian Xu: A safe accelerative approach for pinball support vector machine classifier. Knowl. Based Syst. 147: 12-24 (2018)
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)
Zhiji Yang, Xianli Pan, Yitian Xu: Piecewise linear solution path for pinball twin support vector machine. Knowl. Based Syst. 160: 311-324 (2018)
Yitian Xu, Xiaoyan Li, Xianli Pan, Zhiji Yang: Asymmetric ν-twin support vector regression. Neural Comput. Appl. 30(12): 3799-3814 (2018)
Zhiji Yang, Yitian Xu: A safe sample screening rule for Laplacian twin parametric-margin support vector machine. Pattern Recognit. 84: 1-12 (2018)
Xianli Pan, Zhiji Yang, Yitian Xu, Laisheng Wang: Safe Screening Rules for Accelerating Twin Support Vector Machine Classification. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1876-1887 (2018)
Jiayi Niu, Jing Chen, Yitian Xu: Twin support vector regression with Huber loss. J. Intell. Fuzzy Syst. 32(6): 4247-4258 (2017)
Jiang Zhao, Yitian Xu: A safe sample screening rule for Universum support vector machines. Knowl. Based Syst. 138: 46-57 (2017)
Yitian Xu: Maximum Margin of Twin Spheres Support Vector Machine for Imbalanced Data Classification. IEEE Trans. Cybern. 47(6): 1540-1550 (2017)
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)
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)
Jiang Zhao, Zhiji Yang, Yitian Xu: Nonparallel least square support vector machine for classification. Appl. Intell. 45(4): 1119-1128 (2016)
Zhiji Yang, Yitian Xu: Laplacian twin parametric-margin support vector machine for semi-supervised classification. Neurocomputing 171: 325-334 (2016)
Yitian Xu: K-nearest neighbor-based weighted multi-class twin support vector machine. Neurocomputing 205: 430-438 (2016)
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)
Xianli Pan, Yitian Xu: Two effective sample selection methods for support vector machine. J. Intell. Fuzzy Syst. 30(2): 659-670 (2016)
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)
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)
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)
Yitian Xu: A novel twin support vector regression. J. Inf. Sci. Eng. 31(2): 627-640 (2015)
Xianli Pan, Yao Luo, Yitian Xu: K-nearest neighbor based structural twin support vector machine. Knowl. Based Syst. 88: 34-44 (2015)
Yitian Xu, Rui Guo: An improved ν-twin support vector machine. Appl. Intell. 41(1): 42-54 (2014)
Yitian Xu, Laisheng Wang: K-nearest neighbor-based weighted twin support vector regression. Appl. Intell. 41(1): 299-309 (2014)
Yitian Xu, Rui Guo: A twin hyper-sphere multi-class classification support vector machine. J. Intell. Fuzzy Syst. 27(4): 1783-1790 (2014)
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)
Yitian Xu, Jia Yu, Yuqun Zhang: KNN-based weighted rough ν-twin support vector machine. Knowl. Based Syst. 71: 303-313 (2014)
Yitian Xu, Rui Guo, Laisheng Wang: A Twin Multi-Class Classification Support Vector Machine. Cogn. Comput. 5(4): 580-588 (2013)
Yitian Xu, Chunmei Liu: A rough margin-based one class support vector machine. Neural Comput. Appl. 22(6): 1077-1084 (2013)
Yitian Xu, Laisheng Wang: A weighted twin support vector regression. Knowl. Based Syst. 33: 92-101 (2012)
Ping Zhong, Yitian Xu, Yaohong Zhao: Training twin support vector regression via linear programming. Neural Comput. Appl. 21(2): 399-407 (2012)
Yitian Xu, Laisheng Wang, Ping Zhong: A rough margin-based ν-twin support vector machine. Neural Comput. Appl. 21(6): 1307-1317 (2012)
Zhiquan Qi, Yitian Xu, Laisheng Wang, Ye Song: Online multiple instance boosting for object detection. Neurocomputing 74(10): 1769-1775 (2011)
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)
Yitian Xu, Haozhi Zhang, Laisheng Wang: Rough Margin-Based Linear v Support Vector Machine. J. Convergence Inf. Technol. 5(8): 226-232 (2010)
Liming Yang, Laisheng Wang, Yitian Xu, Qun Sun: Time Series Prediction Based on Generalization Bounds for Support Vector Machine. ISNN (2) 2009: 322-326
Yitian Xu, Ling Zhen, Liming Yang, Laisheng Wang: Classification Algorithm Based on Feature Selection and Samples Selection. ISNN (2) 2009: 631-638
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
Yitian Xu, Laisheng Wang, Yanping Sheng: Rough Set Theory-based Multi-class Decision Attribute Reduction Algorithm and Its Application. IEEE ICCI 2006: 722-725
Yitian Xu, Laisheng Wang: Fuzzy Comprehensive Evaluation Model based on Rough Set Theory. IEEE ICCI 2006: 877-880
Yitian Xu, Laisheng Wang: Fault Diagnosis System Based on Rough Set Theory and Support Vector Machine. FSKD (2) 2005: 980-988
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