2025
Multi-Instance Nonparallel Tube Learning.
IEEE Trans. Neural Networks Learn. Syst., February, 2025
Boosting one-class transfer learning for multiple view uncertain data.
Inf. Sci., 2025
2024
Ordinal Regression With Pinball Loss.
IEEE Trans. Neural Networks Learn. Syst., August, 2024
A Multitask Latent Feature Augmentation Method for Few-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst., May, 2024
Dictionary-Based Multi-View Learning With Privileged Information.
IEEE Trans. Circuits Syst. Video Technol., May, 2024
Multi-View Maximum Margin Clustering With Privileged Information Learning.
IEEE Trans. Circuits Syst. Video Technol., April, 2024
Privileged multi-view one-class support vector machine.
Neurocomputing, March, 2024
Semi-supervised fuzzy clustering algorithm based on prior membership degree matrix with expert preference.
Expert Syst. Appl., March, 2024
Adaboost-based SVDD for anomaly detection with dictionary learning.
Expert Syst. Appl., March, 2024
A two-generation based method for few-shot learning with few-shot instance-level privileged information.
Appl. Intell., March, 2024
An Efficient Transfer Learning Method with Auxiliary Information.
ACM Trans. Knowl. Discov. Data, January, 2024
A new multi-view multi-label model with privileged information learning.
Inf. Sci., January, 2024
Few-Shot Object Counting With Dynamic Similarity-Aware in Latent Space.
IEEE Trans. Geosci. Remote. Sens., 2024
Multi-task ordinal regression with task weight discovery.
Knowl. Based Syst., 2024
A multitask tensor-based relation network for cloth-changing person re-identification.
Image Vis. Comput., 2024
Self-paced method for transfer partial label learning.
Inf. Sci., 2024
The multi-task transfer learning for multiple data streams with uncertain data.
Inf. Sci., 2024
Dictionary-based multi-instance learning method with universum information.
Inf. Sci., 2024
Privacy preservation-based federated learning with uncertain data.
Inf. Sci., 2024
Partial label learning with heterogeneous domain adaptation.
Neurocomputing, 2024
2023
Multi-task ordinal regression with labeled and unlabeled data.
Inf. Sci., November, 2023
Boost two-view learning-based method for label proportions problem.
Appl. Intell., October, 2023
Multi-view multi-label learning with high-order label correlation.
Inf. Sci., May, 2023
Semi-supervised Multi-task Learning with Auxiliary data.
Inf. Sci., May, 2023
A least squares twin support vector machine method with uncertain data.
Appl. Intell., May, 2023
A Ranking Based Multi-View Method for Positive and Unlabeled Graph Classification.
IEEE Trans. Knowl. Data Eng., March, 2023
A Variational Inference Method for Few-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., 2023
Self-paced multi-view positive and unlabeled graph learning with auxiliary information.
Inf. Sci., 2023
Privileged information learning with weak labels.
Appl. Soft Comput., 2023
2022
A Convex Model for Support Vector Distance Metric Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022
New Multi-View Classification Method with Uncertain Data.
ACM Trans. Knowl. Discov. Data, 2022
A Latent Variable Augmentation Method for Image Categorization with Insufficient Training Samples.
ACM Trans. Knowl. Discov. Data, 2022
A Transfer Learning-Based Multi-Instance Learning Method With Weak Labels.
IEEE Trans. Cybern., 2022
An Efficient Image Categorization Method With Insufficient Training Samples.
IEEE Trans. Cybern., 2022
A convex multi-class model via distance metric learning based class-to-instance confidence.
Knowl. Based Syst., 2022
AdaBoost-based transfer learning method for positive and unlabelled learning problem.
Knowl. Based Syst., 2022
Multi-task manifold learning for partial label learning.
Inf. Sci., 2022
Multi-view partial label machine.
Inf. Sci., 2022
Multi-view support vector ordinal regression with data uncertainty.
Inf. Sci., 2022
AdaBoost-based transfer learning with privileged information.
Inf. Sci., 2022
A new self-paced learning method for privilege-based positive and unlabeled learning.
Inf. Sci., 2022
Adaptive robust Adaboost-based twin support vector machine with universum data.
Inf. Sci., 2022
Dictionary-based transfer learning with Universum data.
Inf. Sci., 2022
Pinball loss support vector data description for outlier detection.
Appl. Intell., 2022
A new method for positive and unlabeled learning with privileged information.
Appl. Intell., 2022
Learn structured analysis discriminative dictionary for multi-label classification.
Appl. Intell., 2022
A Separating Embedding Space Based Relation Network with RGB Modality Only for Cloth-Changing Person Re-Identification.
Proceedings of the 6th International Conference on Computer Science and Application Engineering, 2022
2021
Subgraph feature extraction based on multi-view dictionary learning for graph classification.
Knowl. Based Syst., 2021
Multi-task analysis discriminative dictionary learning for one-class learning.
Knowl. Based Syst., 2021
Transfer learning-based one-class dictionary learning for recommendation data stream.
Inf. Sci., 2021
A nearest-neighbor search model for distance metric learning.
Inf. Sci., 2021
An efficient dictionary-based multi-view learning method.
Inf. Sci., 2021
Twin support vector machines with privileged information.
Inf. Sci., 2021
A new multi-task learning method with universum data.
Appl. Intell., 2021
A new transductive learning method with universum data.
Appl. Intell., 2021
A new dictionary-based positive and unlabeled learning method.
Appl. Intell., 2021
A new twin SVM method with dictionary learning.
Appl. Intell., 2021
Dynamic Metric Accelerated Method for Fuzzy Clustering.
IEEE Access, 2021
A Dictionary-Based Method for Classification with Universum Data.
Proceedings of the CSAE 2021: The 5th International Conference on Computer Science and Application Engineering, Sanya, China, October 19, 2021
2020
A multi-task transfer learning method with dictionary learning.
Knowl. Based Syst., 2020
A similarity-based two-view multiple instance learning method for classification.
Knowl. Based Syst., 2020
An efficient active learning method for multi-task learning.
Knowl. Based Syst., 2020
An efficient multi-label learning method with label projection.
Knowl. Based Syst., 2020
A new self-paced method for multiple instance boosting learning.
Inf. Sci., 2020
A new transfer learning-based method for label proportions problem.
Inf. Sci., 2020
Semi-Supervised Multi-view clustering based on orthonormality-constrained nonnegative matrix factorization.
Inf. Sci., 2020
COB method with online learning for object tracking.
Neurocomputing, 2020
A Latent Variables Augmentation Method Based on Adversarial Training for Image Categorization with Insufficient Training Samples.
Proceedings of the 16th International Conference on Control, 2020
2019
Semi-supervised multi-view clustering based on constrained nonnegative matrix factorization.
Knowl. Based Syst., 2019
Transfer Learning-Based Label Proportions Method with Data of Uncertainty.
CoRR, 2019
Simultaneously Learning Adaptive Neighbors and Clustering Label via Semi-Supervised NMF.
Proceedings of the 3rd International Conference on Computer Science and Application Engineering, 2019
2018
Multiple-Instance Ordinal Regression.
IEEE Trans. Neural Networks Learn. Syst., 2018
A Selective Multiple Instance Transfer Learning Method for Text Categorization Problems.
Knowl. Based Syst., 2018
A multi-task-based classification framework for multi-instance distance metric learning.
Neurocomputing, 2018
2017
A Sphere-Description-Based Approach for Multiple-Instance Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2017
A multiple-instance stream learning framework for adaptive document categorization.
Knowl. Based Syst., 2017
SVM-based multi-state-mapping approach for multi-class classification.
Knowl. Based Syst., 2017
Cross-angle behavior recognition via supervised dictionary learning.
Proceedings of the 13th International Conference on Natural Computation, 2017
An object tracking method based on CNN and optical flow.
Proceedings of the 13th International Conference on Natural Computation, 2017
Cluster and dynamic-TrAdaBoost-based transfer learning for text classification.
Proceedings of the 13th International Conference on Natural Computation, 2017
Multi-View Action Recognition Method Based on Regularized Extreme Learning Machine.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017
Real-Time Face Recognition Based on Sparse Illumination Learning.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017
2016
A Maximum Margin Approach for Semisupervised Ordinal Regression Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2016
2015
A robust one-class transfer learning method with uncertain data.
Knowl. Inf. Syst., 2015
2014
An Efficient Approach for Outlier Detection with Imperfect Data Labels.
IEEE Trans. Knowl. Data Eng., 2014
Uncertain One-Class Learning and Concept Summarization Learning on Uncertain Data Streams.
IEEE Trans. Knowl. Data Eng., 2014
A Similarity-Based Classification Framework for Multiple-Instance Learning.
IEEE Trans. Cybern., 2014
An efficient orientation distance-based discriminative feature extraction method for multi-classification.
Knowl. Inf. Syst., 2014
A K-Farthest-Neighbor-based approach for support vector data description.
Appl. Intell., 2014
2013
SVDD-based outlier detection on uncertain data.
Knowl. Inf. Syst., 2013
MODS: Multiple One-class Data Streams Learning from Homogeneous Data.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Robust Textual Data Streams Mining Based on Continuous Transfer Learning.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
One-Class Transfer Learning with Uncertain Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013
2011
One-Class-Based Uncertain Data Stream Learning.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
Similarity-Based Approach for Positive and Unlabeled Learning.
Proceedings of the IJCAI 2011, 2011
2010
Multi-agent system for customer relationship management with SVMs tool.
Int. J. Intell. Inf. Database Syst., 2010
SMILE: A Similarity-Based Approach for Multiple Instance Learning.
Proceedings of the ICDM 2010, 2010
Exploiting Local Data Uncertainty to Boost Global Outlier Detection.
Proceedings of the ICDM 2010, 2010
Vote-Based LELC for Positive and Unlabeled Textual Data Streams.
Proceedings of the ICDMW 2010, 2010
K-farthest-neighbors-based concept boundary determination for support vector data description.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010
Orientation distance-based discriminative feature extraction for multi-class classification.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010
2009
Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data.
Proceedings of the ICDM Workshops 2009, 2009
2008
Nesting One-Against-One Algorithm Based on SVMs for Pattern Classification.
IEEE Trans. Neural Networks, 2008
A Chinese question classification using one-vs-one method as a learning tool.
Int. J. Intell. Inf. Database Syst., 2008
Multi-agent System for Custom Relationship Management with SVMs Tool.
Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2008
Multi-Space-Mapped SVMs for Multi-class Classification.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
A Learning Process Using SVMs for Multi-agents Decision Classification.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008
2007
Nesting Algorithm for Multi-Classification Problems.
Soft Comput., 2007
2006
Binary Tree Support Vector Machine Based on Kernel Fisher Discriminant for Multi-classification.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
2005
Twi-Map Support Vector Machine for Multi-classification Problems.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005