A Learning Process Using SVMs for Multi-agents Decision Classification. - Yanshan Xiao; Feiqi Deng; Bo Liu 002; Shouqiang Liu; Dan Luo 001; Guohua Liang (Web Intelligence/IAT Workshops, 2008)

Agent Collaboration for Multiple Trading Strategy Integration. - Longbing Cao; Dan Luo 001; Yanshan Xiao; Zhigang Zheng (KES-AMSTA, 2008)

Multi-agent System for Custom Relationship Management with SVMs Tool. - Yanshan Xiao; Bo Liu 002; Dan Luo 001; Longbing Cao (KES-AMSTA, 2008)

A Chinese question classification using one-vs-one method as a learning tool. - Yanshan Xiao; Bo Liu 002; Longbing Cao (Int. J. Intell. Inf. Database Syst., 2008)

Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data. - Yanshan Xiao; Bo Liu 002; Longbing Cao; Xindong Wu 001; Chengqi Zhang; Zhifeng Hao; Fengzhao Yang; Jie Cao 001 (ICDM Workshops, 2009)

Orientation distance-based discriminative feature extraction for multi-class classification. - Bo Liu 002; Yanshan Xiao; Longbing Cao; Philip S. Yu (CIKM, 2010)

K-farthest-neighbors-based concept boundary determination for support vector data description. - Yanshan Xiao; Bo Liu 002; Longbing Cao (CIKM, 2010)

Vote-Based LELC for Positive and Unlabeled Textual Data Streams. - Bo Liu 002; Yanshan Xiao; Longbing Cao; Philip S. Yu (ICDM Workshops, 2010)

Exploiting Local Data Uncertainty to Boost Global Outlier Detection. - Bo Liu 002; Jie Yin 001; Yanshan Xiao; Longbing Cao; Philip S. Yu (ICDM, 2010)

SMILE: A Similarity-Based Approach for Multiple Instance Learning. - Yanshan Xiao; Bo Liu 002; Longbing Cao; Jie Yin 001; Xindong Wu 001 (ICDM, 2010)

Multi-agent system for customer relationship management with SVMs tool. - Yanshan Xiao; Bo Liu 002; Dan Luo 001; Longbing Cao; Feiqi Deng; Zhifeng Hao (Int. J. Intell. Inf. Database Syst., 2010)

Similarity-Based Approach for Positive and Unlabeled Learning. - Yanshan Xiao; Bo Liu 002; Jie Yin 001; Longbing Cao; Chengqi Zhang; Zhifeng Hao (IJCAI, 2011)

One-Class-Based Uncertain Data Stream Learning. - Bo Liu 002; Yanshan Xiao; Longbing Cao; Philip S. Yu (SDM, 2011)

One-Class Transfer Learning with Uncertain Data. - Bo Liu 002; Philip S. Yu; Yanshan Xiao; Zhifeng Hao (PAKDD (1), 2013)

Robust Textual Data Streams Mining Based on Continuous Transfer Learning. - Longbing Cao; Zhifeng Hao; Bo Liu 002; Yanshan Xiao; Philip S. Yu (SDM, 2013)

MODS: Multiple One-class Data Streams Learning from Homogeneous Data. - Zhifeng Hao; Bo Liu 002; Yanshan Xiao; Philip S. Yu (SDM, 2013)

SVDD-based outlier detection on uncertain data. - Bo Liu 002; Yanshan Xiao; Longbing Cao; Zhifeng Hao; Feiqi Deng (Knowl. Inf. Syst., 2013)

A K-Farthest-Neighbor-based approach for support vector data description. - Yanshan Xiao; Bo Liu 002; Zhifeng Hao; Longbing Cao (Appl. Intell., 2014)

An efficient orientation distance-based discriminative feature extraction method for multi-classification. - Bo Liu 002; Yanshan Xiao; Philip S. Yu; Zhifeng Hao; Longbing Cao (Knowl. Inf. Syst., 2014)

A Similarity-Based Classification Framework for Multiple-Instance Learning. - Yanshan Xiao; Bo Liu 002; Zhifeng Hao; Longbing Cao (IEEE Trans. Cybern., 2014)

Uncertain One-Class Learning and Concept Summarization Learning on Uncertain Data Streams. - Bo Liu 002; Yanshan Xiao; Philip S. Yu; Longbing Cao; Yun Zhang 001; Zhifeng Hao (IEEE Trans. Knowl. Data Eng., 2014)

An Efficient Approach for Outlier Detection with Imperfect Data Labels. - Bo Liu 002; Yanshan Xiao; Philip S. Yu; Zhifeng Hao; Longbing Cao (IEEE Trans. Knowl. Data Eng., 2014)

A robust one-class transfer learning method with uncertain data. - Yanshan Xiao; Bo Liu 002; Philip S. Yu; Zhifeng Hao (Knowl. Inf. Syst., 2015)

A Maximum Margin Approach for Semisupervised Ordinal Regression Clustering. - Yanshan Xiao; Bo Liu 002; Zhifeng Hao (IEEE Trans. Neural Networks Learn. Syst., 2016)

Real-Time Face Recognition Based on Sparse Illumination Learning. - WuYang Ding; Bo Liu 002; Yanshan Xiao (CSE/EUC (1), 2017)

Multi-View Action Recognition Method Based on Regularized Extreme Learning Machine. - Wei He; Bo Liu 002; Yanshan Xiao (CSE/EUC (1), 2017)

Cluster and dynamic-TrAdaBoost-based transfer learning for text classification. - Zibin Li; Bo Liu 002; Yanshan Xiao (ICNC-FSKD, 2017)

An object tracking method based on CNN and optical flow. - Luyue Lin; Bo Liu 002; Yanshan Xiao (ICNC-FSKD, 2017)

Cross-angle behavior recognition via supervised dictionary learning. - Guanghui Lu; Bo Liu 002; Yanshan Xiao (ICNC-FSKD, 2017)

SVM-based multi-state-mapping approach for multi-class classification. - Bo Liu 002; Yanshan Xiao; Longbing Cao (Knowl. Based Syst., 2017)

A multiple-instance stream learning framework for adaptive document categorization. - Yanshan Xiao; Bo Liu 002; Jie Yin 001; Zhifeng Hao (Knowl. Based Syst., 2017)

A Sphere-Description-Based Approach for Multiple-Instance Learning. - Yanshan Xiao; Bo Liu 002; Zhifeng Hao (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

A multi-task-based classification framework for multi-instance distance metric learning. - Zhifeng Hao; Yibang Ruan; Yanshan Xiao; Bo Liu 002 (Neurocomputing, 2018)

A Selective Multiple Instance Transfer Learning Method for Text Categorization Problems. - Bo Liu 002; Yanshan Xiao; Zhifeng Hao (Knowl. Based Syst., 2018)

Multiple-Instance Ordinal Regression. - Yanshan Xiao; Bo Liu 002; Zhifeng Hao (IEEE Trans. Neural Networks Learn. Syst., 2018)

Simultaneously Learning Adaptive Neighbors and Clustering Label via Semi-Supervised NMF. - Hao Cai; Bo Liu 002; Yanshan Xiao; Luyue Lin; Sujuan Zhou; Zhiyong Che (CSAE, 2019)

Transfer Learning-Based Label Proportions Method with Data of Uncertainty. - Yanshan Xiao; HuaiPei Wang; Bo Liu 002 (CoRR, 2019)

Semi-supervised multi-view clustering based on constrained nonnegative matrix factorization. - Hao Cai; Bo Liu 002; Yanshan Xiao; Luyue Lin (Knowl. Based Syst., 2019)

A Latent Variables Augmentation Method Based on Adversarial Training for Image Categorization with Insufficient Training Samples. - Luyue Lin; Dacai Liu; Bo Liu 002; Yanshan Xiao (ICARCV, 2020)

COB method with online learning for object tracking. - Luyue Lin; Bo Liu 002; Yanshan Xiao (Neurocomputing, 2020)

Semi-Supervised Multi-view clustering based on orthonormality-constrained nonnegative matrix factorization. - Hao Cai; Bo Liu 002; Yanshan Xiao; Luyue Lin (Inf. Sci., 2020)

A new transfer learning-based method for label proportions problem. - Yanshan Xiao; HuaiPei Wang; Bo Liu 002 (Inf. Sci., 2020)

A new self-paced method for multiple instance boosting learning. - Yanshan Xiao; Xiaozhou Yang; Bo Liu 002 (Inf. Sci., 2020)

An efficient multi-label learning method with label projection. - Luyue Lin; Bo Liu 002; Xin Zheng 001; Yanshan Xiao; Zhijing Liu; Hao Cai (Knowl. Based Syst., 2020)

An efficient active learning method for multi-task learning. - Yanshan Xiao; Zheng Chang; Bo Liu 002 (Knowl. Based Syst., 2020)

A similarity-based two-view multiple instance learning method for classification. - Yanshan Xiao; Zijian Yin; Bo Liu 002 (Knowl. Based Syst., 2020)

A multi-task transfer learning method with dictionary learning. - Xin Zheng 001; Luyue Lin; Bo Liu 002; Yanshan Xiao; Xiaoming Xiong (Knowl. Based Syst., 2020)

A Dictionary-Based Method for Classification with Universum Data. - Zhiyong Che; Bo Liu 002; Yanshan Xiao (CSAE, 2021)

A new twin SVM method with dictionary learning. - Zhiyong Che; Bo Liu 002; Yanshan Xiao; Hao Cai (Appl. Intell., 2021)

A new dictionary-based positive and unlabeled learning method. - Bo Liu 002; Zhijing Liu; Yanshan Xiao (Appl. Intell., 2021)

A new transductive learning method with universum data. - Yanshan Xiao; Junyao Feng; Bo Liu 002 (Appl. Intell., 2021)

A new multi-task learning method with universum data. - Yanshan Xiao; Jing Wen; Bo Liu 002 (Appl. Intell., 2021)

Twin support vector machines with privileged information. - Zhiyong Che; Bo Liu 002; Yanshan Xiao; Hao Cai (Inf. Sci., 2021)

An efficient dictionary-based multi-view learning method. - Bo Liu 002; Xiaodong Chen; Yanshan Xiao; Weibin Li; Laiwang Liu; Changdong Liu (Inf. Sci., 2021)

A nearest-neighbor search model for distance metric learning. - Yibang Ruan; Yanshan Xiao; Zhifeng Hao; Bo Liu 002 (Inf. Sci., 2021)

Transfer learning-based one-class dictionary learning for recommendation data stream. - Haoxin Xie; Bo Liu 002; Yanshan Xiao (Inf. Sci., 2021)

Multi-task analysis discriminative dictionary learning for one-class learning. - Bo Liu 002; Haoxin Xie; Yanshan Xiao (Knowl. Based Syst., 2021)

A Separating Embedding Space Based Relation Network with RGB Modality Only for Cloth-Changing Person Re-Identification. - Jian Xu; Bo Liu 002; Yanshan Xiao (CSAE, 2022)

Learn structured analysis discriminative dictionary for multi-label classification. - Bo Liu 002; Zhiyong Che; Kejian Song; Yanshan Xiao (Appl. Intell., 2022)

A new method for positive and unlabeled learning with privileged information. - Bo Liu 002; Qian Liu; Yanshan Xiao (Appl. Intell., 2022)

Pinball loss support vector data description for outlier detection. - Guangzheng Zhong; Yanshan Xiao; Bo Liu 002; Liang Zhao; Xiangjun Kong (Appl. Intell., 2022)

Dictionary-based transfer learning with Universum data. - Zhiyong Che; Bo Liu 002; Yanshan Xiao; Luyue Lin (Inf. Sci., 2022)

Adaptive robust Adaboost-based twin support vector machine with universum data. - Bo Liu 002; Ruiguang Huang; Yanshan Xiao; Junrui Liu; Kai Wang; Liangjiao Li; Qihang Chen (Inf. Sci., 2022)

A new self-paced learning method for privilege-based positive and unlabeled learning. - Bo Liu 002; Junrui Liu; Yanshan Xiao; Qihang Chen; Kai Wang; Ruiguang Huang; Liangjiao Li (Inf. Sci., 2022)

AdaBoost-based transfer learning with privileged information. - Bo Liu 002; Laiwang Liu; Yanshan Xiao; Changdong Liu; Xiaodong Chen; Weibin Li (Inf. Sci., 2022)

Multi-view support vector ordinal regression with data uncertainty. - Yanshan Xiao; Xi Li; Bo Liu 002; Liang Zhao; Xiangjun Kong; Adi Alhudhaif; Fayadh Alenezi (Inf. Sci., 2022)

Multi-view partial label machine. - Liang Zhao; Yanshan Xiao; Bo Liu 002; Zhifeng Hao (Inf. Sci., 2022)

Multi-task manifold learning for partial label learning. - Liang Zhao; Yanshan Xiao; Kairun Wen; Bo Liu 002; Xiangjun Kong (Inf. Sci., 2022)

AdaBoost-based transfer learning method for positive and unlabelled learning problem. - Bo Liu 002; Changdong Liu; Yanshan Xiao; Laiwang Liu; Weibin Li; Xiaodong Chen (Knowl. Based Syst., 2022)

A convex multi-class model via distance metric learning based class-to-instance confidence. - Yibang Ruan; Yanshan Xiao; Zhifeng Hao; Bo Liu 002 (Knowl. Based Syst., 2022)

An Efficient Image Categorization Method With Insufficient Training Samples. - Luyue Lin; Bo Liu 002; Xin Zheng 001; Yanshan Xiao (IEEE Trans. Cybern., 2022)

A Transfer Learning-Based Multi-Instance Learning Method With Weak Labels. - Yanshan Xiao; Fei Liang; Bo Liu 002 (IEEE Trans. Cybern., 2022)

A Latent Variable Augmentation Method for Image Categorization with Insufficient Training Samples. - Luyue Lin; Xin Zheng 001; Bo Liu 002; Wei Chen 103; Yanshan Xiao (ACM Trans. Knowl. Discov. Data, 2022)

New Multi-View Classification Method with Uncertain Data. - Bo Liu 002; Haowen Zhong; Yanshan Xiao (ACM Trans. Knowl. Discov. Data, 2022)

A Convex Model for Support Vector Distance Metric Learning. - Yibang Ruan; Yanshan Xiao; Zhifeng Hao; Bo Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Privileged information learning with weak labels. - Yanshan Xiao; Zexin Ye; Liang Zhao; Xiangjun Kong; Bo Liu 002; Kemal Polat; Adi Alhudhaif (Appl. Soft Comput., 2023)

Self-paced multi-view positive and unlabeled graph learning with auxiliary information. - Bo Liu 002; Tiantian Peng; Yanshan Xiao; Shilei Zhao; Peng Sun; Xiaokai Li 002; Zhiyu Zheng; Yongsheng Huang (Inf. Sci., 2023)

A Variational Inference Method for Few-Shot Learning. - Jian Xu; Bo Liu 002; Yanshan Xiao (IEEE Trans. Circuits Syst. Video Technol., 2023)

A Ranking Based Multi-View Method for Positive and Unlabeled Graph Classification. - Bo Liu 002; Zhiyong Che; Haowen Zhong; Yanshan Xiao (IEEE Trans. Knowl. Data Eng., 2023)

A least squares twin support vector machine method with uncertain data. - Yanshan Xiao; Jinneng Liu; Kairun Wen; Bo Liu 002; Liang Zhao; Xiangjun Kong (Appl. Intell., 2023)

Semi-supervised Multi-task Learning with Auxiliary data. - Bo Liu 002; Qihang Chen; Yanshan Xiao; Kai Wang; Junrui Liu; Ruiguang Huang; Liangjiao Li (Inf. Sci., 2023)

Multi-view multi-label learning with high-order label correlation. - Bo Liu 002; Weibin Li; Yanshan Xiao; Xiaodong Chen; Laiwang Liu; Changdong Liu; Kai Wang; Peng Sun (Inf. Sci., 2023)

Boost two-view learning-based method for label proportions problem. - Jiantao Lai; Yanshan Xiao; Bo Liu 002 (Appl. Intell., 2023)

Multi-task ordinal regression with labeled and unlabeled data. - Yanshan Xiao; Liangwang Zhang; Bo Liu 002; Ruichu Cai; Zhifeng Hao (Inf. Sci., 2023)

Partial label learning with heterogeneous domain adaptation. - Liang Zhao; Yanshan Xiao; Bo Liu 002 (Neurocomputing, 2024)

Privacy preservation-based federated learning with uncertain data. - Fan Cao; Bo Liu 002; Jinghui He; Jian Xu; Yanshan Xiao (Inf. Sci., 2024)

Dictionary-based multi-instance learning method with universum information. - Fan Cao; Bo Liu 002; Kai Wang; Yanshan Xiao; Jinghui He; Jian Xu (Inf. Sci., 2024)

The multi-task transfer learning for multiple data streams with uncertain data. - Bo Liu 002; Yongsheng Huang; Yanshan Xiao; Zhiyu Zheng; Peng Sun; Shilei Zhao; Xiaokai Li 002; Tiantian Peng (Inf. Sci., 2024)

Self-paced method for transfer partial label learning. - Bo Liu 002; Zhiyu Zheng; Yanshan Xiao; Peng Sun; Xiaokai Li 002; Shilei Zhao; Yongsheng Huang; Tiantian Peng (Inf. Sci., 2024)

A multitask tensor-based relation network for cloth-changing person re-identification. - Jian Xu; Bo Liu 002; Yanshan Xiao; Fan Cao; Jinghui He (Image Vis. Comput., 2024)

Multi-task ordinal regression with task weight discovery. - Yanshan Xiao; Mengyue Zeng; Bo Liu 002; Liang Zhao; Xiangjun Kong; Zhifeng Hao (Knowl. Based Syst., 2024)

Few-Shot Object Counting With Dynamic Similarity-Aware in Latent Space. - Jinghui He; Bo Liu 002; Fan Cao; Jian Xu; Yanshan Xiao (IEEE Trans. Geosci. Remote. Sens., 2024)

A new multi-view multi-label model with privileged information learning. - Yanshan Xiao; Junfeng Chen; Bo Liu 002; Liang Zhao; Xiangjun Kong; Zhifeng Hao (Inf. Sci., 2024)

An Efficient Transfer Learning Method with Auxiliary Information. - Bo Liu 002; Liangjiao Li; Yanshan Xiao; Kai Wang; Jian Hu; Junrui Liu; Qihang Chen; Ruiguang Huang (ACM Trans. Knowl. Discov. Data, 2024)

A two-generation based method for few-shot learning with few-shot instance-level privileged information. - Jian Xu; Jinghui He; Bo Liu 002; Fan Cao; Yanshan Xiao (Appl. Intell., 2024)

Adaboost-based SVDD for anomaly detection with dictionary learning. - Bo Liu 002; Xiaokai Li 002; Yanshan Xiao; Peng Sun; Shilei Zhao; Tiantian Peng; Zhiyu Zheng; Yongsheng Huang (Expert Syst. Appl., 2024)

Privileged multi-view one-class support vector machine. - Yanshan Xiao; Guitao Pan; Bo Liu 002; Liang Zhao; Xiangjun Kong; Zhifeng Hao (Neurocomputing, 2024)

Multi-View Maximum Margin Clustering With Privileged Information Learning. - Yanshan Xiao; Jianwei Zhang; Bo Liu 002; Liang Zhao; Xiangjun Kong; Zhifeng Hao (IEEE Trans. Circuits Syst. Video Technol., 2024)

Dictionary-Based Multi-View Learning With Privileged Information. - Bo Liu 002; Peng Sun; Yanshan Xiao; Shilei Zhao; Xiaokai Li 002; Tiantian Peng; Zhiyu Zheng; Yongsheng Huang (IEEE Trans. Circuits Syst. Video Technol., 2024)

A Multitask Latent Feature Augmentation Method for Few-Shot Learning. - Jian Xu; Bo Liu 002; Yanshan Xiao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Ordinal Regression With Pinball Loss. - Guangzheng Zhong; Yanshan Xiao; Bo Liu 002; Liang Zhao; Xiangjun Kong (IEEE Trans. Neural Networks Learn. Syst., 2024)

Pinning synchronization of higher-order nonlinear networks with time delays. - Weibin Li; Kaixin Lu; Zhichao Liang; Zhongye Xia; Bo Liu 002; Yanshan Xiao; Quanying Liu (Neurocomputing, 2025)

Boosting one-class transfer learning for multiple view uncertain data. - Bo Liu 002; Fan Cao; Shilei Zhao; Yanshan Xiao (Inf. Sci., 2025)

Semi-supervised manifold regularized multi-task learning with privileged information. - Bo Liu 002; Baoqing Li; Yanshan Xiao; Zhitong Wang; Boxu Zhou; Shengxin He; Chenlong Ye; Fan Cao (Inf. Sci., 2025)

A multi-view forward positive and unlabeled graph learning method based on dictionary learning. - Bo Liu 002; Chenlong Ye; Yanshan Xiao; Baoqing Li; Zhitong Wang; Boxu Zhou; Shengxin He; Fan Cao (Inf. Sci., 2025)

Multi-view ordinal regression with feature augmentation and privileged information learning. - Yanshan Xiao; Linbin Chen; Bo Liu 002 (Inf. Sci., 2025)

Multi-Instance Nonparallel Tube Learning. - Yanshan Xiao; Bo Liu 002; Zhifeng Hao (IEEE Trans. Neural Networks Learn. Syst., 2025)