Yaojin Lin

Orcid: 0000-0002-6749-9534

According to our database1, Yaojin Lin authored at least 97 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Online streaming feature selection based on hierarchical structure information.
Concurr. Comput. Pract. Exp., July, 2024

Label Distribution Learning Based on Horizontal and Vertical Mining of Label Correlations.
IEEE Trans. Big Data, June, 2024

Feature selection for label distribution learning under feature weight view.
Int. J. Mach. Learn. Cybern., May, 2024

Learning implicit labeling-importance and label correlation for multi-label feature selection with streaming labels.
Pattern Recognit., March, 2024

Multi-Label Feature Selection via Positive or Negative Correlation.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Learning correlation information for multi-label feature selection.
Pattern Recognit., January, 2024

Multi-label feature selection via similarity constraints with non-negative matrix factorization.
Knowl. Based Syst., 2024

Hierarchical feature selection based on neighborhood interclass spacing from fine to coarse.
Neurocomputing, 2024

A four-stage branch local search algorithm for minimal test cost attribute reduction based on the set covering.
Appl. Soft Comput., 2024

Online hierarchical streaming feature selection based on adaptive neighborhood rough set.
Appl. Soft Comput., 2024

2023
Multi-label feature selection via joint label enhancement and pairwise label correlations.
Int. J. Mach. Learn. Cybern., November, 2023

Multi-label feature selection based on correlation label enhancement.
Inf. Sci., November, 2023

Graph-Based Class-Imbalance Learning With Label Enhancement.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Inverse transformation sampling-based attentive cutout for fine-grained visual recognition.
Vis. Comput., July, 2023

Hierarchical Feature Selection Based on Label Distribution Learning.
IEEE Trans. Knowl. Data Eng., June, 2023

Online Multi-Label Streaming Feature Selection With Label Correlation.
IEEE Trans. Knowl. Data Eng., March, 2023

Multi-label feature selection based on label distribution and neighborhood rough set.
Neurocomputing, March, 2023

Fuzzy Mutual Information-Based Multilabel Feature Selection With Label Dependency and Streaming Labels.
IEEE Trans. Fuzzy Syst., 2023

Semantic-gap-oriented feature selection in hierarchical classification learning.
Inf. Sci., 2023

Text-based Person Search via Virtual Attribute Learning.
Int. J. Softw. Informatics, 2023

Online feature selection for hierarchical classification learning based on improved ReliefF.
Concurr. Comput. Pract. Exp., 2023

Multi-label feature selection based on relative entropy and fuzzy neighborhood mutual discrimination index.
Concurr. Comput. Pract. Exp., 2023

Label distribution learning with high-order label correlations.
Concurr. Comput. Pract. Exp., 2023

Feature selection using binary monarch butterfly optimization.
Appl. Intell., 2023

ASFS: A novel streaming feature selection for multi-label data based on neighborhood rough set.
Appl. Intell., 2023

Cross-Modality Earth Mover's Distance for Visible Thermal Person Re-identification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
MULFE: Multi-Label Learning via Label-Specific Feature Space Ensemble.
ACM Trans. Knowl. Discov. Data, 2022

A Spectral Feature Selection Approach With Kernelized Fuzzy Rough Sets.
IEEE Trans. Fuzzy Syst., 2022

Improving embedding learning by virtual attribute decoupling for text-based person search.
Neural Comput. Appl., 2022

Multi-label causal feature selection based on neighbourhood mutual information.
Int. J. Mach. Learn. Cybern., 2022

From the whole to detail: Progressively sampling discriminative parts for fine-grained recognition.
Knowl. Based Syst., 2022

Multi-task convolutional neural network with coarse-to-fine knowledge transfer for long-tailed classification.
Inf. Sci., 2022

Few-shot learning based on hierarchical classification via multi-granularity relation networks.
Int. J. Approx. Reason., 2022

Cross-Modality Earth Mover's Distance for Visible Thermal Person Re-Identification.
CoRR, 2022

Neighborhood rough set based multi-label feature selection with label correlation.
Concurr. Comput. Pract. Exp., 2022

Online streaming feature selection for multigranularity hierarchical classification learning.
Concurr. Comput. Pract. Exp., 2022

Multilabel causal variable discovery in multisource.
Concurr. Comput. Pract. Exp., 2022

An optimization approach with weighted SCiForest and weighted Hausdorff distance for noise data and redundant data.
Appl. Intell., 2022

WGNet: Wider graph convolution networks for 3D point cloud classification with local dilated connecting and context-aware.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
Attribute reduction in formal decision contexts and its application to finite topological spaces.
Int. J. Mach. Learn. Cybern., 2021

Multi-Rhythm Capsule Network Recognition Structure for Motor Imagery Classification.
J. Web Eng., 2021

Hierarchical classification of data with long-tailed distributions via global and local granulation.
Inf. Sci., 2021

Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification.
Inf. Sci., 2021

Towards graph-based class-imbalance learning for hospital readmission.
Expert Syst. Appl., 2021

Feature interaction based online streaming feature selection via buffer mechanism.
Concurr. Comput. Pract. Exp., 2021

Causality-based online streaming feature selection.
Concurr. Comput. Pract. Exp., 2021

Kernelized fuzzy rough sets based online streaming feature selection for large-scale hierarchical classification.
Appl. Intell., 2021

Urban vegetation segmentation using terrestrial LiDAR point clouds based on point non-local means network.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Text-based Person Search via Multi-Granularity Embedding Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Multi-Constraint Similarity Learning with Adaptive Weighting for Visible-Thermal Person Re-Identification.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
A graph approach for fuzzy-rough feature selection.
Fuzzy Sets Syst., 2020

Online Streaming Feature Selection Based on Feature Interaction.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

2019
An efficient and fast algorithm for community detection based on node role analysis.
Int. J. Mach. Learn. Cybern., 2019

A fast attribute reduction method for large formal decision contexts.
Int. J. Approx. Reason., 2019

Feature selection for multi-label learning with missing labels.
Appl. Intell., 2019

Nonlinear Cross-Domain Feature Representation Learning Method Based on Dual Constraints.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

2018
Online multi-label streaming feature selection based on neighborhood rough set.
Pattern Recognit., 2018

Multi-modal multi-layered topic classification model for social event analysis.
Multim. Tools Appl., 2018

Synthesizing decision rules from multiple information sources: a neighborhood granulation viewpoint.
Int. J. Mach. Learn. Cybern., 2018

Multi-label learning with label-specific features by resolving label correlations.
Knowl. Based Syst., 2018

Online Multi-label Group Feature Selection.
Knowl. Based Syst., 2018

Attribute reduction for multi-label learning with fuzzy rough set.
Knowl. Based Syst., 2018

A graph approach for knowledge reduction in formal contexts.
Knowl. Based Syst., 2018

Multi-label learning based on label-specific features and local pairwise label correlation.
Neurocomputing, 2018

Feature selection for multi-label learning based on kernelized fuzzy rough sets.
Neurocomputing, 2018

On-line Evolutionary Sentiment Topic Analysis Modeling.
Int. J. Comput. Intell. Syst., 2018

2017
A Fitting Model for Feature Selection With Fuzzy Rough Sets.
IEEE Trans. Fuzzy Syst., 2017

Streaming Feature Selection for Multilabel Learning Based on Fuzzy Mutual Information.
IEEE Trans. Fuzzy Syst., 2017

A rough set method for the unicost set covering problem.
Int. J. Mach. Learn. Cybern., 2017

Different classes' ratio fuzzy rough set based robust feature selection.
Knowl. Based Syst., 2017

Attribute reduction of covering decision systems by hypergraph model.
Knowl. Based Syst., 2017

基于标记权重的多标记特征选择算法 (Multi-label Feature Selection Algorithm Based on Label Weighting).
计算机科学, 2017

Phrase-based Topic and Sentiment Detection and Tracking Model using Incremental HDP.
KSII Trans. Internet Inf. Syst., 2017

Feature selection based on quality of information.
Neurocomputing, 2017

Computational drug repositioning using collaborative filtering via multi-source fusion.
Expert Syst. Appl., 2017

2016
A social tag clustering method based on common co-occurrence group similarity.
Frontiers Inf. Technol. Electron. Eng., 2016

Multi-label feature selection with streaming labels.
Inf. Sci., 2016

Domain adaptation via Multi-Layer Transfer Learning.
Neurocomputing, 2016

Multi-label feature selection based on neighborhood mutual information.
Appl. Soft Comput., 2016

A rough set method for the minimum vertex cover problem of graphs.
Appl. Soft Comput., 2016

An effective collaborative filtering algorithm based on user preference clustering.
Appl. Intell., 2016

2015
Fast approach to knowledge acquisition in covering information systems using matrix operations.
Knowl. Based Syst., 2015

Quadruple Transfer Learning: Exploiting both shared and non-shared concepts for text classification.
Knowl. Based Syst., 2015

Relationships between generalized rough sets based on covering and reflexive neighborhood system.
Inf. Sci., 2015

The relationship between attribute reducts in rough sets and minimal vertex covers of graphs.
Inf. Sci., 2015

Relations of reduction between covering generalized rough sets and concept lattices.
Inf. Sci., 2015

Multi-label feature selection based on max-dependency and min-redundancy.
Neurocomputing, 2015

Matrix-based set approximations and reductions in covering decision information systems.
Int. J. Approx. Reason., 2015

2014
Feature selection via neighborhood multi-granulation fusion.
Knowl. Based Syst., 2014

A new nearest neighbor classifier via fusing neighborhood information.
Neurocomputing, 2014

Quality of information-based source assessment and selection.
Neurocomputing, 2014

Ensemble learning from multiple information sources via label propagation and consensus.
Appl. Intell., 2014

2013
On the structure of definable sets in covering approximation spaces.
Int. J. Mach. Learn. Cybern., 2013

Computing connected components of simple undirected graphs based on generalized rough sets.
Knowl. Based Syst., 2013

Mining stable patterns in multiple correlated databases.
Decis. Support Syst., 2013


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