Yanshan Xiao

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 77

Top Venues

Inf. Sci.

Knowl. Based Syst.

Appl. Intell.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Guangzheng Zhong, Yanshan Xiao, Bo Liu, Liang Zhao, Xiangjun Kong
Ordinal Regression With Pinball Loss. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Fan Cao, Bo Liu, Kai Wang, Yanshan Xiao, Jinghui He, Jian Xu
Dictionary-based multi-instance learning method with universum information. Inf. Sci. 682 (2024)
Jian Xu, Bo Liu, Yanshan Xiao
A Multitask Latent Feature Augmentation Method for Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
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 (2024)
Fan Cao, Bo Liu, Jinghui He, Jian Xu, Yanshan Xiao
Privacy preservation-based federated learning with uncertain data. Inf. Sci. 678 (2024)
Liang Zhao, Yanshan Xiao, Bo Liu
Partial label learning with heterogeneous domain adaptation. Neurocomputing 594 (2024)
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 (2024)
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) (2024)
Yanshan Xiao, Guitao Pan, Bo Liu, Liang Zhao, Xiangjun Kong, Zhifeng Hao
Privileged multi-view one-class support vector machine. Neurocomputing 572 (2024)
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) (2024)
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 (2024)
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 (2024)
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) (2024)
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) (2024)
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) (2024)
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 (2024)
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 (2023)
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 (2023)
Yanshan Xiao, Zexin Ye, Liang Zhao, Xiangjun Kong, Bo Liu, Kemal Polat, Adi Alhudhaif
Privileged information learning with weak labels. Appl. Soft Comput. 142 (2023)
Yanshan Xiao, Liangwang Zhang, Bo Liu, Ruichu Cai, Zhifeng Hao
Multi-task ordinal regression with labeled and unlabeled data. Inf. Sci. 649 (2023)
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 (2023)
Jiantao Lai, Yanshan Xiao, Bo Liu
Boost two-view learning-based method for label proportions problem. Appl. Intell. 53 (19) (2023)
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) (2023)
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) (2023)
Jian Xu, Bo Liu, Yanshan Xiao
A Variational Inference Method for Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 33 (1) (2023)
Bo Liu, Qian Liu, Yanshan Xiao
A new method for positive and unlabeled learning with privileged information. Appl. Intell. 52 (3) (2022)
Yanshan Xiao, Fei Liang, Bo Liu
A Transfer Learning-Based Multi-Instance Learning Method With Weak Labels. IEEE Trans. Cybern. 52 (1) (2022)
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 (2022)
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)
Zhiyong Che, Bo Liu, Yanshan Xiao, Luyue Lin
Dictionary-based transfer learning with Universum data. Inf. Sci. 599 (2022)
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 (2022)
Liang Zhao, Yanshan Xiao, Bo Liu, Zhifeng Hao
Multi-view partial label machine. Inf. Sci. 586 (2022)
Bo Liu, Laiwang Liu, Yanshan Xiao, Changdong Liu, Xiaodong Chen, Weibin Li
AdaBoost-based transfer learning with privileged information. Inf. Sci. 593 (2022)
Guangzheng Zhong, Yanshan Xiao, Bo Liu, Liang Zhao, Xiangjun Kong
Pinball loss support vector data description for outlier detection. Appl. Intell. 52 (14) (2022)
Bo Liu, Zhiyong Che, Kejian Song, Yanshan Xiao
Learn structured analysis discriminative dictionary for multi-label classification. Appl. Intell. 52 (3) (2022)
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) (2022)
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) (2022)
Liang Zhao, Yanshan Xiao, Kairun Wen, Bo Liu, Xiangjun Kong
Multi-task manifold learning for partial label learning. Inf. Sci. 602 (2022)
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 (2022)
Bo Liu, Haowen Zhong, Yanshan Xiao
New Multi-View Classification Method with Uncertain Data. ACM Trans. Knowl. Discov. Data 16 (1) (2022)
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 (2022)
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 (2022)
Luyue Lin, Bo Liu, Xin Zheng, Yanshan Xiao
An Efficient Image Categorization Method With Insufficient Training Samples. IEEE Trans. Cybern. 52 (5) (2022)
Bo Liu, Zhijing Liu, Yanshan Xiao
A new dictionary-based positive and unlabeled learning method. Appl. Intell. 51 (12) (2021)
Haoxin Xie, Bo Liu, Yanshan Xiao
Transfer learning-based one-class dictionary learning for recommendation data stream. Inf. Sci. 547 (2021)
Bo Liu, Xiaodong Chen, Yanshan Xiao, Weibin Li, Laiwang Liu, Changdong Liu
An efficient dictionary-based multi-view learning method. Inf. Sci. 576 (2021)
Zhiyong Che, Bo Liu, Yanshan Xiao, Hao Cai
A new twin SVM method with dictionary learning. Appl. Intell. 51 (10) (2021)
Zhiyong Che, Bo Liu, Yanshan Xiao
A Dictionary-Based Method for Classification with Universum Data. CSAE (2021)
Bo Liu, Haoxin Xie, Yanshan Xiao
Multi-task analysis discriminative dictionary learning for one-class learning. Knowl. Based Syst. 227 (2021)
Yanshan Xiao, Jing Wen, Bo Liu
A new multi-task learning method with universum data. Appl. Intell. 51 (6) (2021)
Yibang Ruan, Yanshan Xiao, Zhifeng Hao, Bo Liu
A nearest-neighbor search model for distance metric learning. Inf. Sci. 552 (2021)
Zhiyong Che, Bo Liu, Yanshan Xiao, Hao Cai
Twin support vector machines with privileged information. Inf. Sci. 573 (2021)
Yanshan Xiao, Junyao Feng, Bo Liu
A new transductive learning method with universum data. Appl. Intell. 51 (8) (2021)
Xin Zheng, Luyue Lin, Bo Liu, Yanshan Xiao, Xiaoming Xiong
A multi-task transfer learning method with dictionary learning. Knowl. Based Syst. 191 (2020)
Yanshan Xiao, Zijian Yin, Bo Liu
A similarity-based two-view multiple instance learning method for classification. Knowl. Based Syst. (2020)
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)
Yanshan Xiao, Zheng Chang, Bo Liu
An efficient active learning method for multi-task learning. Knowl. Based Syst. 190 (2020)
Hao Cai, Bo Liu, Yanshan Xiao, Luyue Lin
Semi-Supervised Multi-view clustering based on orthonormality-constrained nonnegative matrix factorization. Inf. Sci. 536 (2020)
Yanshan Xiao, HuaiPei Wang, Bo Liu
A new transfer learning-based method for label proportions problem. Inf. Sci. 541 (2020)
Luyue Lin, Bo Liu, Yanshan Xiao
COB method with online learning for object tracking. Neurocomputing 393 (2020)
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 (2020)
Yanshan Xiao, Xiaozhou Yang, Bo Liu
A new self-paced method for multiple instance boosting learning. Inf. Sci. 515 (2020)
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)
Hao Cai, Bo Liu, Yanshan Xiao, Luyue Lin
Semi-supervised multi-view clustering based on constrained nonnegative matrix factorization. Knowl. Based Syst. 182 (2019)
Yanshan Xiao, HuaiPei Wang, Bo Liu
Transfer Learning-Based Label Proportions Method with Data of Uncertainty. CoRR (2019)
Yanshan Xiao, Bo Liu, Zhifeng Hao
Multiple-Instance Ordinal Regression. IEEE Trans. Neural Networks Learn. Syst. 29 (9) (2018)
Zhifeng Hao, Yibang Ruan, Yanshan Xiao, Bo Liu
A multi-task-based classification framework for multi-instance distance metric learning. Neurocomputing 275 (2018)
Bo Liu, Yanshan Xiao, Zhifeng Hao
A Selective Multiple Instance Transfer Learning Method for Text Categorization Problems. Knowl. Based Syst. 141 (2018)
Bo Liu, Yanshan Xiao, Longbing Cao
SVM-based multi-state-mapping approach for multi-class classification. Knowl. Based Syst. 129 (2017)
Yanshan Xiao, Bo Liu, Jie Yin, Zhifeng Hao
A multiple-instance stream learning framework for adaptive document categorization. Knowl. Based Syst. 120 (2017)
Wei He, Bo Liu, Yanshan Xiao
Multi-View Action Recognition Method Based on Regularized Extreme Learning Machine. CSE/EUC (1) (2017)
Guanghui Lu, Bo Liu, Yanshan Xiao
Cross-angle behavior recognition via supervised dictionary learning. ICNC-FSKD (2017)
Luyue Lin, Bo Liu, Yanshan Xiao
An object tracking method based on CNN and optical flow. ICNC-FSKD (2017)
Yanshan Xiao, Bo Liu, Zhifeng Hao
A Sphere-Description-Based Approach for Multiple-Instance Learning. IEEE Trans. Pattern Anal. Mach. Intell. 39 (2) (2017)
Zibin Li, Bo Liu, Yanshan Xiao
Cluster and dynamic-TrAdaBoost-based transfer learning for text classification. ICNC-FSKD (2017)
WuYang Ding, Bo Liu, Yanshan Xiao
Real-Time Face Recognition Based on Sparse Illumination Learning. CSE/EUC (1) (2017)
Yanshan Xiao, Bo Liu, Zhifeng Hao
A Maximum Margin Approach for Semisupervised Ordinal Regression Clustering. IEEE Trans. Neural Networks Learn. Syst. 27 (5) (2016)
Yanshan Xiao, Bo Liu, Philip S. Yu, Zhifeng Hao
A robust one-class transfer learning method with uncertain data. Knowl. Inf. Syst. 44 (2) (2015)
Yanshan Xiao, Bo Liu, Zhifeng Hao, Longbing Cao
A Similarity-Based Classification Framework for Multiple-Instance Learning. IEEE Trans. Cybern. 44 (4) (2014)
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) (2014)
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) (2014)
Yanshan Xiao, Bo Liu, Zhifeng Hao, Longbing Cao
A K-Farthest-Neighbor-based approach for support vector data description. Appl. Intell. 41 (1) (2014)
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) (2014)
Zhifeng Hao, Bo Liu, Yanshan Xiao, Philip S. Yu
MODS: Multiple One-class Data Streams Learning from Homogeneous Data. SDM (2013)
Bo Liu, Philip S. Yu, Yanshan Xiao, Zhifeng Hao
One-Class Transfer Learning with Uncertain Data. PAKDD (1) (2013)
Longbing Cao, Zhifeng Hao, Bo Liu, Yanshan Xiao, Philip S. Yu
Robust Textual Data Streams Mining Based on Continuous Transfer Learning. SDM (2013)
Bo Liu, Yanshan Xiao, Longbing Cao, Zhifeng Hao, Feiqi Deng
SVDD-based outlier detection on uncertain data. Knowl. Inf. Syst. 34 (3) (2013)
Yanshan Xiao, Bo Liu, Jie Yin, Longbing Cao, Chengqi Zhang, Zhifeng Hao
Similarity-Based Approach for Positive and Unlabeled Learning. IJCAI (2011)
Bo Liu, Yanshan Xiao, Longbing Cao, Philip S. Yu
One-Class-Based Uncertain Data Stream Learning. SDM (2011)
Bo Liu, Yanshan Xiao, Longbing Cao, Philip S. Yu
Orientation distance-based discriminative feature extraction for multi-class classification. CIKM (2010)
Bo Liu, Yanshan Xiao, Longbing Cao, Philip S. Yu
Vote-Based LELC for Positive and Unlabeled Textual Data Streams. ICDM Workshops (2010)
Yanshan Xiao, Bo Liu, Longbing Cao
K-farthest-neighbors-based concept boundary determination for support vector data description. CIKM (2010)
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) (2010)
Bo Liu, Jie Yin, Yanshan Xiao, Longbing Cao, Philip S. Yu
Exploiting Local Data Uncertainty to Boost Global Outlier Detection. ICDM (2010)
Yanshan Xiao, Bo Liu, Longbing Cao, Jie Yin, Xindong Wu
SMILE: A Similarity-Based Approach for Multiple Instance Learning. ICDM (2010)
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)
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)
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) (2008)
Longbing Cao, Dan Luo, Yanshan Xiao, Zhigang Zheng
Agent Collaboration for Multiple Trading Strategy Integration. KES-AMSTA (2008)
Yanshan Xiao, Bo Liu, Dan Luo, Longbing Cao
Multi-agent System for Custom Relationship Management with SVMs Tool. KES-AMSTA (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yanshan Xiao