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2020 – today
- 2025
[j78]Bo Liu, Fan Cao, Shilei Zhao, Yanshan Xiao:
Boosting one-class transfer learning for multiple view uncertain data. Inf. Sci. 692: 121653 (2025)- 2024
- [j77]Jian Xu, Jinghui He, Bo Liu, Fan Cao
, Yanshan Xiao:
A two-generation based method for few-shot learning with few-shot instance-level privileged information. Appl. Intell. 54(5): 4077-4094 (2024) - [j76]Bo Liu, Xiaokai Li, Yanshan Xiao, Peng Sun, Shilei Zhao, Tiantian Peng, Zhiyu Zheng, Yongsheng Huang:
Adaboost-based SVDD for anomaly detection with dictionary learning. Expert Syst. Appl. 238(Part C): 121770 (2024) - [j75]Yanshan Xiao, Guitao Pan, Bo Liu, Liang Zhao, Xiangjun Kong, Zhifeng Hao:
Privileged multi-view one-class support vector machine. Neurocomputing 572: 127186 (2024) - [j74]Liang Zhao, Yanshan Xiao, Bo Liu:
Partial label learning with heterogeneous domain adaptation. Neurocomputing 594: 127822 (2024) - [j73]Yanshan Xiao, Junfeng Chen, Bo Liu, Liang Zhao, Xiangjun Kong, Zhifeng Hao:
A new multi-view multi-label model with privileged information learning. Inf. Sci. 656: 119911 (2024) - [j72]Bo Liu, Yongsheng Huang, Yanshan Xiao, Zhiyu Zheng, Peng Sun, Shilei Zhao, Xiaokai Li, Tiantian Peng:
The multi-task transfer learning for multiple data streams with uncertain data. Inf. Sci. 664: 120314 (2024) - [j71]Fan Cao, Bo Liu, Jinghui He, Jian Xu, Yanshan Xiao:
Privacy preservation-based federated learning with uncertain data. Inf. Sci. 678: 121024 (2024) - [j70]Bo Liu, Zhiyu Zheng, Yanshan Xiao, Peng Sun, Xiaokai Li, Shilei Zhao, Yongsheng Huang, Tiantian Peng:
Self-paced method for transfer partial label learning. Inf. Sci. 679: 121043 (2024) - [j69]Fan Cao, Bo Liu, Kai Wang, Yanshan Xiao, Jinghui He, Jian Xu:
Dictionary-based multi-instance learning method with universum information. Inf. Sci. 682: 121264 (2024) - [j68]Jian Xu, Bo Liu, Yanshan Xiao, Fan Cao, Jinghui He:
A multitask tensor-based relation network for cloth-changing person re-identification. Image Vis. Comput. 147: 105090 (2024) - [j67]Yanshan Xiao, Mengyue Zeng, Bo Liu, Liang Zhao, Xiangjun Kong, Zhifeng Hao:
Multi-task ordinal regression with task weight discovery. Knowl. Based Syst. 305: 112616 (2024) - [j66]Yanshan Xiao, Jianwei Zhang, Bo Liu, Liang Zhao, Xiangjun Kong, Zhifeng Hao:
Multi-View Maximum Margin Clustering With Privileged Information Learning. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2719-2733 (2024) - [j65]Bo Liu, Peng Sun, Yanshan Xiao, Shilei Zhao, Xiaokai Li, Tiantian Peng, Zhiyu Zheng, Yongsheng Huang:
Dictionary-Based Multi-View Learning With Privileged Information. IEEE Trans. Circuits Syst. Video Technol. 34(5): 3523-3537 (2024) - [j64]Jinghui He, Bo Liu, Fan Cao, Jian Xu, Yanshan Xiao:
Few-Shot Object Counting With Dynamic Similarity-Aware in Latent Space. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j63]Bo Liu, Liangjiao Li, Yanshan Xiao, Kai Wang, Jian Hu, Junrui Liu, Qihang Chen, Ruiguang Huang:
An Efficient Transfer Learning Method with Auxiliary Information. ACM Trans. Knowl. Discov. Data 18(1): 22:1-22:23 (2024) - [j62]Jian Xu, Bo Liu, Yanshan Xiao:
A Multitask Latent Feature Augmentation Method for Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6976-6990 (2024) - [j61]Guangzheng Zhong, Yanshan Xiao, Bo Liu, Liang Zhao, Xiangjun Kong:
Ordinal Regression With Pinball Loss. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11246-11260 (2024) - 2023
- [j60]Yanshan Xiao, Jinneng Liu, Kairun Wen, Bo Liu, Liang Zhao, Xiangjun Kong:
A least squares twin support vector machine method with uncertain data. Appl. Intell. 53(9): 10668-10684 (2023) - [j59]Jiantao Lai, Yanshan Xiao, Bo Liu:
Boost two-view learning-based method for label proportions problem. Appl. Intell. 53(19): 21984-22001 (2023) - [j58]Yanshan Xiao, Zexin Ye, Liang Zhao, Xiangjun Kong, Bo Liu, Kemal Polat, Adi Alhudhaif:
Privileged information learning with weak labels. Appl. Soft Comput. 142: 110298 (2023) - [j57]Bo Liu, Weibin Li, Yanshan Xiao, Xiaodong Chen, Laiwang Liu, Changdong Liu, Kai Wang, Peng Sun:
Multi-view multi-label learning with high-order label correlation. Inf. Sci. 624: 165-184 (2023) - [j56]Bo Liu, Qihang Chen, Yanshan Xiao, Kai Wang, Junrui Liu, Ruiguang Huang, Liangjiao Li:
Semi-supervised Multi-task Learning with Auxiliary data. Inf. Sci. 626: 626-639 (2023) - [j55]Bo Liu, Tiantian Peng, Yanshan Xiao, Shilei Zhao, Peng Sun, Xiaokai Li, Zhiyu Zheng, Yongsheng Huang:
Self-paced multi-view positive and unlabeled graph learning with auxiliary information. Inf. Sci. 642: 119146 (2023) - [j54]Yanshan Xiao, Liangwang Zhang, Bo Liu, Ruichu Cai, Zhifeng Hao:
Multi-task ordinal regression with labeled and unlabeled data. Inf. Sci. 649: 119669 (2023) - [j53]Jian Xu, Bo Liu, Yanshan Xiao:
A Variational Inference Method for Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 33(1): 269-282 (2023) - [j52]Bo Liu, Zhiyong Che, Haowen Zhong, Yanshan Xiao:
A Ranking Based Multi-View Method for Positive and Unlabeled Graph Classification. IEEE Trans. Knowl. Data Eng. 35(3): 2220-2230 (2023) - 2022
- [j51]Bo Liu, Qian Liu, Yanshan Xiao:
A new method for positive and unlabeled learning with privileged information. Appl. Intell. 52(3): 2465-2479 (2022) - [j50]Bo Liu, Zhiyong Che, Kejian Song, Yanshan Xiao:
Learn structured analysis discriminative dictionary for multi-label classification. Appl. Intell. 52(3): 3175-3192 (2022) - [j49]Guangzheng Zhong, Yanshan Xiao, Bo Liu, Liang Zhao, Xiangjun Kong:
Pinball loss support vector data description for outlier detection. Appl. Intell. 52(14): 16940-16961 (2022) - [j48]Liang Zhao, Yanshan Xiao, Bo Liu, Zhifeng Hao:
Multi-view partial label machine. Inf. Sci. 586: 310-325 (2022) - [j47]Yanshan Xiao, Xi Li, Bo Liu, Liang Zhao, Xiangjun Kong, Adi Alhudhaif, Fayadh Alenezi:
Multi-view support vector ordinal regression with data uncertainty. Inf. Sci. 589: 516-530 (2022) - [j46]Bo Liu, Laiwang Liu, Yanshan Xiao, Changdong Liu, Xiaodong Chen, Weibin Li:
AdaBoost-based transfer learning with privileged information. Inf. Sci. 593: 216-232 (2022) - [j45]Zhiyong Che, Bo Liu, Yanshan Xiao, Luyue Lin:
Dictionary-based transfer learning with Universum data. Inf. Sci. 599: 64-83 (2022) - [j44]Liang Zhao, Yanshan Xiao, Kairun Wen, Bo Liu, Xiangjun Kong:
Multi-task manifold learning for partial label learning. Inf. Sci. 602: 351-365 (2022) - [j43]Bo Liu, Junrui Liu, Yanshan Xiao, Qihang Chen, Kai Wang, Ruiguang Huang, Liangjiao Li:
A new self-paced learning method for privilege-based positive and unlabeled learning. Inf. Sci. 609: 996-1009 (2022) - [j42]Bo Liu, Ruiguang Huang, Yanshan Xiao, Junrui Liu, Kai Wang, Liangjiao Li, Qihang Chen:
Adaptive robust Adaboost-based twin support vector machine with universum data. Inf. Sci. 609: 1334-1352 (2022) - [j41]Bo Liu, Changdong Liu, Yanshan Xiao, Laiwang Liu, Weibin Li, Xiaodong Chen:
AdaBoost-based transfer learning method for positive and unlabelled learning problem. Knowl. Based Syst. 241: 108162 (2022) - [j40]Yibang Ruan, Yanshan Xiao, Zhifeng Hao, Bo Liu:
A convex multi-class model via distance metric learning based class-to-instance confidence. Knowl. Based Syst. 258: 109791 (2022) - [j39]Yanshan Xiao, Fei Liang, Bo Liu:
A Transfer Learning-Based Multi-Instance Learning Method With Weak Labels. IEEE Trans. Cybern. 52(1): 287-300 (2022) - [j38]Luyue Lin, Bo Liu, Xin Zheng, Yanshan Xiao:
An Efficient Image Categorization Method With Insufficient Training Samples. IEEE Trans. Cybern. 52(5): 3244-3260 (2022) - [j37]Luyue Lin, Xin Zheng, Bo Liu, Wei Chen, Yanshan Xiao:
A Latent Variable Augmentation Method for Image Categorization with Insufficient Training Samples. ACM Trans. Knowl. Discov. Data 16(1): 3:1-3:35 (2022) - [j36]Bo Liu, Haowen Zhong, Yanshan Xiao:
New Multi-View Classification Method with Uncertain Data. ACM Trans. Knowl. Discov. Data 16(1): 19:1-19:23 (2022) - [j35]Yibang Ruan, Yanshan Xiao, Zhifeng Hao, Bo Liu:
A Convex Model for Support Vector Distance Metric Learning. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3533-3546 (2022) - [c23]Jian Xu, Bo Liu, Yanshan Xiao:
A Separating Embedding Space Based Relation Network with RGB Modality Only for Cloth-Changing Person Re-Identification. CSAE 2022: 10:1-10:5 - 2021
- [j34]Yanshan Xiao, Jing Wen, Bo Liu:
A new multi-task learning method with universum data. Appl. Intell. 51(6): 3421-3434 (2021) - [j33]Yanshan Xiao, Junyao Feng, Bo Liu:
A new transductive learning method with universum data. Appl. Intell. 51(8): 5571-5583 (2021) - [j32]Zhiyong Che, Bo Liu, Yanshan Xiao, Hao Cai:
A new twin SVM method with dictionary learning. Appl. Intell. 51(10): 7245-7261 (2021) - [j31]Bo Liu, Zhijing Liu, Yanshan Xiao:
A new dictionary-based positive and unlabeled learning method. Appl. Intell. 51(12): 8850-8864 (2021) - [j30]Haoxin Xie, Bo Liu, Yanshan Xiao:
Transfer learning-based one-class dictionary learning for recommendation data stream. Inf. Sci. 547: 526-538 (2021) - [j29]Yibang Ruan, Yanshan Xiao, Zhifeng Hao, Bo Liu:
A nearest-neighbor search model for distance metric learning. Inf. Sci. 552: 261-277 (2021) - [j28]Zhiyong Che, Bo Liu, Yanshan Xiao, Hao Cai:
Twin support vector machines with privileged information. Inf. Sci. 573: 141-153 (2021) - [j27]Bo Liu, Xiaodong Chen, Yanshan Xiao, Weibin Li, Laiwang Liu, Changdong Liu:
An efficient dictionary-based multi-view learning method. Inf. Sci. 576: 157-172 (2021) - [j26]Bo Liu, Haoxin Xie, Yanshan Xiao:
Multi-task analysis discriminative dictionary learning for one-class learning. Knowl. Based Syst. 227: 107195 (2021) - [c22]Zhiyong Che, Bo Liu, Yanshan Xiao:
A Dictionary-Based Method for Classification with Universum Data. CSAE 2021: 40:1-40:6 - 2020
- [j25]Luyue Lin, Bo Liu, Yanshan Xiao:
COB method with online learning for object tracking. Neurocomputing 393: 142-155 (2020) - [j24]Yanshan Xiao, Xiaozhou Yang, Bo Liu:
A new self-paced method for multiple instance boosting learning. Inf. Sci. 515: 80-90 (2020) - [j23]Hao Cai, Bo Liu, Yanshan Xiao, Luyue Lin:
Semi-Supervised Multi-view clustering based on orthonormality-constrained nonnegative matrix factorization. Inf. Sci. 536: 171-184 (2020) - [j22]Yanshan Xiao, HuaiPei Wang, Bo Liu:
A new transfer learning-based method for label proportions problem. Inf. Sci. 541: 391-408 (2020) - [j21]Yanshan Xiao, Zheng Chang, Bo Liu:
An efficient active learning method for multi-task learning. Knowl. Based Syst. 190: 105137 (2020) - [j20]Xin Zheng, Luyue Lin, Bo Liu, Yanshan Xiao, Xiaoming Xiong:
A multi-task transfer learning method with dictionary learning. Knowl. Based Syst. 191: 105233 (2020) - [j19]Yanshan Xiao, Zijian Yin, Bo Liu:
A similarity-based two-view multiple instance learning method for classification. Knowl. Based Syst. 201-202: 105661 (2020) - [j18]Luyue Lin, Bo Liu, Xin Zheng, Yanshan Xiao, Zhijing Liu, Hao Cai:
An efficient multi-label learning method with label projection. Knowl. Based Syst. 207: 106298 (2020) - [c21]Luyue Lin, Dacai Liu, Bo Liu, Yanshan Xiao:
A Latent Variables Augmentation Method Based on Adversarial Training for Image Categorization with Insufficient Training Samples. ICARCV 2020: 969-975
2010 – 2019
- 2019
- [j17]Hao Cai, Bo Liu, Yanshan Xiao, Luyue Lin:
Semi-supervised multi-view clustering based on constrained nonnegative matrix factorization. Knowl. Based Syst. 182 (2019) - [c20]Hao Cai, Bo Liu, Yanshan Xiao, Luyue Lin, Sujuan Zhou, Zhiyong Che:
Simultaneously Learning Adaptive Neighbors and Clustering Label via Semi-Supervised NMF. CSAE 2019: 15:1-15:6 - [i1]Yanshan Xiao, HuaiPei Wang, Bo Liu:
Transfer Learning-Based Label Proportions Method with Data of Uncertainty. CoRR abs/1908.06603 (2019) - 2018
- [j16]Zhifeng Hao, Yibang Ruan, Yanshan Xiao, Bo Liu:
A multi-task-based classification framework for multi-instance distance metric learning. Neurocomputing 275: 418-429 (2018) - [j15]Bo Liu, Yanshan Xiao, Zhifeng Hao:
A Selective Multiple Instance Transfer Learning Method for Text Categorization Problems. Knowl. Based Syst. 141: 178-187 (2018) - [j14]Yanshan Xiao, Bo Liu, Zhifeng Hao:
Multiple-Instance Ordinal Regression. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4398-4413 (2018) - 2017
- [j13]Yanshan Xiao, Bo Liu, Jie Yin, Zhifeng Hao:
A multiple-instance stream learning framework for adaptive document categorization. Knowl. Based Syst. 120: 198-210 (2017) - [j12]Bo Liu, Yanshan Xiao, Longbing Cao:
SVM-based multi-state-mapping approach for multi-class classification. Knowl. Based Syst. 129: 79-96 (2017) - [j11]Yanshan Xiao, Bo Liu, Zhifeng Hao:
A Sphere-Description-Based Approach for Multiple-Instance Learning. IEEE Trans. Pattern Anal. Mach. Intell. 39(2): 242-257 (2017) - [c19]WuYang Ding, Bo Liu, Yanshan Xiao:
Real-Time Face Recognition Based on Sparse Illumination Learning. CSE/EUC (1) 2017: 272-277 - [c18]Wei He, Bo Liu, Yanshan Xiao:
Multi-View Action Recognition Method Based on Regularized Extreme Learning Machine. CSE/EUC (1) 2017: 854-857 - [c17]Luyue Lin, Bo Liu, Yanshan Xiao:
An object tracking method based on CNN and optical flow. ICNC-FSKD 2017: 24-31 - [c16]Zibin Li, Bo Liu, Yanshan Xiao:
Cluster and dynamic-TrAdaBoost-based transfer learning for text classification. ICNC-FSKD 2017: 2291-2295 - [c15]Guanghui Lu, Bo Liu, Yanshan Xiao:
Cross-angle behavior recognition via supervised dictionary learning. ICNC-FSKD 2017: 2296-2300 - 2016
- [j10]Yanshan Xiao, Bo Liu, Zhifeng Hao:
A Maximum Margin Approach for Semisupervised Ordinal Regression Clustering. IEEE Trans. Neural Networks Learn. Syst. 27(5): 1003-1019 (2016) - 2015
- [j9]Yanshan Xiao, Bo Liu, Philip S. Yu, Zhifeng Hao:
A robust one-class transfer learning method with uncertain data. Knowl. Inf. Syst. 44(2): 407-438 (2015) - 2014
- [j8]Yanshan Xiao, Bo Liu, Zhifeng Hao, Longbing Cao:
A K-Farthest-Neighbor-based approach for support vector data description. Appl. Intell. 41(1): 196-211 (2014) - [j7]Bo Liu, Yanshan Xiao, Philip S. Yu, Zhifeng Hao, Longbing Cao:
An efficient orientation distance-based discriminative feature extraction method for multi-classification. Knowl. Inf. Syst. 39(2): 409-433 (2014) - [j6]Yanshan Xiao, Bo Liu, Zhifeng Hao, Longbing Cao:
A Similarity-Based Classification Framework for Multiple-Instance Learning. IEEE Trans. Cybern. 44(4): 500-515 (2014) - [j5]Bo Liu, Yanshan Xiao, Philip S. Yu, Longbing Cao, Yun Zhang, Zhifeng Hao:
Uncertain One-Class Learning and Concept Summarization Learning on Uncertain Data Streams. IEEE Trans. Knowl. Data Eng. 26(2): 468-484 (2014) - [j4]Bo Liu, Yanshan Xiao, Philip S. Yu, Zhifeng Hao, Longbing Cao:
An Efficient Approach for Outlier Detection with Imperfect Data Labels. IEEE Trans. Knowl. Data Eng. 26(7): 1602-1616 (2014) - 2013
- [j3]Bo Liu, Yanshan Xiao, Longbing Cao, Zhifeng Hao, Feiqi Deng:
SVDD-based outlier detection on uncertain data. Knowl. Inf. Syst. 34(3): 597-618 (2013) - [c14]Bo Liu, Philip S. Yu, Yanshan Xiao, Zhifeng Hao:
One-Class Transfer Learning with Uncertain Data. PAKDD (1) 2013: 471-483 - [c13]Zhifeng Hao, Bo Liu, Yanshan Xiao, Philip S. Yu:
MODS: Multiple One-class Data Streams Learning from Homogeneous Data. SDM 2013: 722-730 - [c12]Longbing Cao, Zhifeng Hao, Bo Liu, Yanshan Xiao, Philip S. Yu:
Robust Textual Data Streams Mining Based on Continuous Transfer Learning. SDM 2013: 731-739 - 2011
- [c11]Yanshan Xiao, Bo Liu, Jie Yin, Longbing Cao, Chengqi Zhang, Zhifeng Hao:
Similarity-Based Approach for Positive and Unlabeled Learning. IJCAI 2011: 1577-1582 - [c10]Bo Liu, Yanshan Xiao, Longbing Cao, Philip S. Yu:
One-Class-Based Uncertain Data Stream Learning. SDM 2011: 992-1003 - 2010
- [j2]Yanshan Xiao, Bo Liu, Dan Luo, Longbing Cao, Feiqi Deng, Zhifeng Hao:
Multi-agent system for customer relationship management with SVMs tool. Int. J. Intell. Inf. Database Syst. 4(2): 121-136 (2010) - [c9]Bo Liu, Yanshan Xiao, Longbing Cao, Philip S. Yu:
Orientation distance-based discriminative feature extraction for multi-class classification. CIKM 2010: 909-918 - [c8]Yanshan Xiao, Bo Liu, Longbing Cao:
K-farthest-neighbors-based concept boundary determination for support vector data description. CIKM 2010: 1701-1704 - [c7]Bo Liu, Jie Yin, Yanshan Xiao, Longbing Cao, Philip S. Yu:
Exploiting Local Data Uncertainty to Boost Global Outlier Detection. ICDM 2010: 304-313 - [c6]Yanshan Xiao, Bo Liu, Longbing Cao, Jie Yin, Xindong Wu:
SMILE: A Similarity-Based Approach for Multiple Instance Learning. ICDM 2010: 589-598 - [c5]Bo Liu, Yanshan Xiao, Longbing Cao, Philip S. Yu:
Vote-Based LELC for Positive and Unlabeled Textual Data Streams. ICDM Workshops 2010: 951-958
2000 – 2009
- 2009
- [c4]Yanshan Xiao, Bo Liu, Longbing Cao, Xindong Wu, Chengqi Zhang, Zhifeng Hao, Fengzhao Yang, Jie Cao:
Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data. ICDM Workshops 2009: 82-87 - 2008
- [j1]Yanshan Xiao, Bo Liu, Longbing Cao:
A Chinese question classification using one-vs-one method as a learning tool. Int. J. Intell. Inf. Database Syst. 2(4): 446-459 (2008) - [c3]Yanshan Xiao, Feiqi Deng, Bo Liu, Shouqiang Liu, Dan Luo, Guohua Liang:
A Learning Process Using SVMs for Multi-agents Decision Classification. Web Intelligence/IAT Workshops 2008: 583-586 - [c2]Yanshan Xiao, Bo Liu, Dan Luo, Longbing Cao:
Multi-agent System for Custom Relationship Management with SVMs Tool. KES-AMSTA 2008: 333-340 - [c1]Longbing Cao, Dan Luo, Yanshan Xiao, Zhigang Zheng:
Agent Collaboration for Multiple Trading Strategy Integration. KES-AMSTA 2008: 361-370
Coauthor Index
[j78] [j77] [j76] [j75] [j74] [j73] [j72] [j71] [j70] [j69] [j68] [j67] [j66] [j65] [j64] [j63] [j62] [j61] [j60] [j59] [j58] [j57] [j56] [j55] [j54] [j53] [j52] [j51] [j50] [j49] [j48] [j47] [j46] [j45] [j44] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [c23] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [c22] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [c21] [j17] [c20] [i1] [j16] [j15] [j14] [j13] [j12] [j11] [c19] [c18] [c17] [c16] [c15] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [c14] [c13] [c12] [c11] [c10] [j2] [c9] [c8] [c7] [c6] [c5] [c4] [j1] [c3] [c2]
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