Yaojin Lin

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Online streaming feature selection based on hierarchical structure information.

Shuxian Lin, Chenxi Wang, Xiehua Yu, Huirong Fang, Yaojin Lin

Concurr. Comput. Pract. Exp., July, 2024

Label Distribution Learning Based on Horizontal and Vertical Mining of Label Correlations.

Yaojin Lin, Yulin Li, Chenxi Wang, Lei Guo, Jinkun Chen

IEEE Trans. Big Data, June, 2024

Feature selection for label distribution learning under feature weight view.

Shidong Lin, Chenxi Wang, Yu Mao, Yaojin Lin

Int. J. Mach. Learn. Cybern., May, 2024

Learning implicit labeling-importance and label correlation for multi-label feature selection with streaming labels.

Jinghua Liu, Wei Wei, Yaojin Lin, Lijie Yang, Hongbo Zhang

Pattern Recognit., March, 2024

Multi-Label Feature Selection via Positive or Negative Correlation.

Yaojin Lin, Zhuoxin He, Lei Guo, Weiping Ding

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Learning correlation information for multi-label feature selection.

Yuling Fan, Jinghua Liu, Jianeng Tang, Peizhong Liu, Yaojin Lin, Yongzhao Du

Pattern Recognit., January, 2024

Multi-label feature selection via similarity constraints with non-negative matrix factorization.

Zhuoxin He, Yaojin Lin, Zilong Lin, Chenxi Wang

Knowl. Based Syst., 2024

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

Zilong Lin, Yaojin Lin

Neurocomputing, 2024

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

Haoran Su, Jinkun Chen, Yaojin Lin

Appl. Soft Comput., 2024

Online hierarchical streaming feature selection based on adaptive neighborhood rough set.

Tongxin Shu, Yaojin Lin, Lei Guo

Appl. Soft Comput., 2024

2023

Multi-label feature selection via joint label enhancement and pairwise label correlations.

Jinghua Liu, Songwei Yang, Yaojin Lin, Chenxi Wang, Cheng Wang, Jixiang Du

Int. J. Mach. Learn. Cybern., November, 2023

Multi-label feature selection based on correlation label enhancement.

Zhuoxin He, Yaojin Lin, Chenxi Wang, Lei Guo, Weiping Ding

Inf. Sci., November, 2023

Graph-Based Class-Imbalance Learning With Label Enhancement.

Guodong Du, Jia Zhang, Min Jiang, Jinyi Long, Yaojin Lin, Shaozi Li, Kay Chen Tan

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Inverse transformation sampling-based attentive cutout for fine-grained visual recognition.

Chen Guo, Yaojin Lin, Meiyan Xu, Mingwen Shao, Junfeng Yao

Vis. Comput., July, 2023

Hierarchical Feature Selection Based on Label Distribution Learning.

Yaojin Lin, Haoyang Liu, Hong Zhao, Qinghua Hu, Xingquan Zhu, Xindong Wu

IEEE Trans. Knowl. Data Eng., June, 2023

Online Multi-Label Streaming Feature Selection With Label Correlation.

Dianlong You, Yang Wang, Jiawei Xiao, Yaojin Lin, Maosheng Pan, Zhen Chen, Limin Shen, Xindong Wu

IEEE Trans. Knowl. Data Eng., March, 2023

Multi-label feature selection based on label distribution and neighborhood rough set.

Jinghua Liu, Yaojin Lin, Weiping Ding, Hongbo Zhang, Cheng Wang, Jixiang Du

Neurocomputing, March, 2023

Fuzzy Mutual Information-Based Multilabel Feature Selection With Label Dependency and Streaming Labels.

Jinghua Liu, Yaojin Lin, Weiping Ding, Hongbo Zhang, Jixiang Du

IEEE Trans. Fuzzy Syst., 2023

Semantic-gap-oriented feature selection in hierarchical classification learning.

Haoyang Liu, Yaojin Lin, Chenxi Wang, Lei Guo, Jinkun Chen

Inf. Sci., 2023

Text-based Person Search via Virtual Attribute Learning.

Chengji Wang, Jiawei Su, Zhiming Luo, Donglin Cao, Yaojin Lin, Shaozi Li

Int. J. Softw. Informatics, 2023

Online feature selection for hierarchical classification learning based on improved ReliefF.

Chenxi Wang, Mengli Ren, Chen E, Lei Guo, Xiehua Yu, Yaojin Lin, Shaozi Li

Concurr. Comput. Pract. Exp., 2023

Multi-label feature selection based on relative entropy and fuzzy neighborhood mutual discrimination index.

Chenxi Wang, Chen E, Mengli Ren, Lei Guo, Xiehua Yu, Yaojin Lin, Shaozi Li

Concurr. Comput. Pract. Exp., 2023

Label distribution learning with high-order label correlations.

Yulin Li, Yaojin Lin, Xiehua Yu, Lei Guo, Shaozi Li

Concurr. Comput. Pract. Exp., 2023

Feature selection using binary monarch butterfly optimization.

Lin Sun, Shanshan Si, Jing Zhao, Jiucheng Xu, Yaojin Lin, Zhiying Lv

Appl. Intell., 2023

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

Jinghua Liu, Yaojin Lin, Jixiang Du, Hongbo Zhang, Ziyi Chen, Jia Zhang

Appl. Intell., 2023

Cross-Modality Earth Mover's Distance for Visible Thermal Person Re-identification.

Yongguo Ling, Zhun Zhong, Zhiming Luo, Fengxiang Yang, Donglin Cao, Yaojin Lin, Shaozi Li, Nicu Sebe

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

MULFE: Multi-Label Learning via Label-Specific Feature Space Ensemble.

Yaojin Lin, Qinghua Hu, Jinghua Liu, Xingquan Zhu, Xindong Wu

ACM Trans. Knowl. Discov. Data, 2022

A Spectral Feature Selection Approach With Kernelized Fuzzy Rough Sets.

Jinkun Chen, Yaojin Lin, Jusheng Mi, Shaozi Li, Weiping Ding

IEEE Trans. Fuzzy Syst., 2022

Improving embedding learning by virtual attribute decoupling for text-based person search.

Chengji Wang, Zhiming Luo, Yaojin Lin, Shaozi Li

Neural Comput. Appl., 2022

Multi-label causal feature selection based on neighbourhood mutual information.

Jie Wang, Yaojin Lin, Longzhu Li, Yun-an Wang, Meiyan Xu, Jinkun Chen

Int. J. Mach. Learn. Cybern., 2022

From the whole to detail: Progressively sampling discriminative parts for fine-grained recognition.

Chen Guo, Yaojin Lin, Shengyu Chen, Zhichun Zeng, Mingwen Shao, Shaozi Li

Knowl. Based Syst., 2022

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

Zhengyu Li, Hong Zhao, Yaojin Lin

Inf. Sci., 2022

Few-shot learning based on hierarchical classification via multi-granularity relation networks.

Yuling Su, Hong Zhao, Yaojin Lin

Int. J. Approx. Reason., 2022

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

Yongguo Ling, Zhun Zhong, Donglin Cao, Zhiming Luo, Yaojin Lin, Shaozi Li, Nicu Sebe

CoRR, 2022

Neighborhood rough set based multi-label feature selection with label correlation.

Yilin Wu, Jinghua Liu, Xiehua Yu, Yaojin Lin, Shaozi Li

Concurr. Comput. Pract. Exp., 2022

Online streaming feature selection for multigranularity hierarchical classification learning.

Chenxi Wang, Xiaoqing Zhang, Liqin Ye, Yu Mao, Shaozi Li, Yaojin Lin

Concurr. Comput. Pract. Exp., 2022

Multilabel causal variable discovery in multisource.

Yun-an Wang, Yaojin Lin, Xiehua Yu, Jie Wang, Zhisen Wei, Jianfeng Wu, Shaozi Li

Concurr. Comput. Pract. Exp., 2022

An optimization approach with weighted SCiForest and weighted Hausdorff distance for noise data and redundant data.

Yifeng Zheng, Guohe Li, Ying Li, Wenjie Zhang, Xueling Pan, Yaojin Lin

Appl. Intell., 2022

WGNet: Wider graph convolution networks for 3D point cloud classification with local dilated connecting and context-aware.

Yiping Chen, Zhipeng Luo, Wen Li, Haojia Lin, Abdul Nurunnabi, Yaojin Lin, Cheng Wang, Xiao-Ping Zhang, Jonathan Li

Int. J. Appl. Earth Obs. Geoinformation, 2022

2021

Attribute reduction in formal decision contexts and its application to finite topological spaces.

Jinkun Chen, Jusheng Mi, Bin Xie, Yaojin Lin

Int. J. Mach. Learn. Cybern., 2021

Multi-Rhythm Capsule Network Recognition Structure for Motor Imagery Classification.

Meiyan Xu, Junfeng Yao, Yifeng Zheng, Yaojin Lin

J. Web Eng., 2021

Hierarchical classification of data with long-tailed distributions via global and local granulation.

Hong Zhao, Shunxin Guo, Yaojin Lin

Inf. Sci., 2021

Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification.

Lin Sun, Tianxiang Wang, Weiping Ding, Jiucheng Xu, Yaojin Lin

Inf. Sci., 2021

Towards graph-based class-imbalance learning for hospital readmission.

Guodong Du, Jia Zhang, Fenglong Ma, Min Zhao, Yaojin Lin, Shaozi Li

Expert Syst. Appl., 2021

Feature interaction based online streaming feature selection via buffer mechanism.

Yan Lv, Yaojin Lin, Xiangyan Chen, Chenxi Wang, Shaozi Li

Concurr. Comput. Pract. Exp., 2021

Causality-based online streaming feature selection.

Longzhu Li, Yaojin Lin, Hong Zhao, Jinkun Chen, Shaozi Li

Concurr. Comput. Pract. Exp., 2021

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

Shengxing Bai, Yaojin Lin, Yan Lv, Jinkun Chen, Chenxi Wang

Appl. Intell., 2021

Urban vegetation segmentation using terrestrial LiDAR point clouds based on point non-local means network.

Yiping Chen, Rongren Wu, Chengzhe Yang, Yaojin Lin

Int. J. Appl. Earth Obs. Geoinformation, 2021

Text-based Person Search via Multi-Granularity Embedding Learning.

Chengji Wang, Zhiming Luo, Yaojin Lin, Shaozi Li

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.

Yongguo Ling, Zhiming Luo, Yaojin Lin, Shaozi Li

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.

Yuyang Zhao, Zhun Zhong, Fengxiang Yang, Zhiming Luo, Yaojin Lin, Shaozi Li, Nicu Sebe

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.

Fengxiang Yang, Zhun Zhong, Zhiming Luo, Yuanzheng Cai, Yaojin Lin, Shaozi Li, Nicu Sebe

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

A graph approach for fuzzy-rough feature selection.

Jinkun Chen, Jusheng Mi, Yaojin Lin

Fuzzy Sets Syst., 2020

Online Streaming Feature Selection Based on Feature Interaction.

Yan Lv, Yaojin Lin, Xiangyan Chen, Dongxing Wang, Chenxi Wang

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.

Xuegang Hu, Wei He, Lei Li, Yaojin Lin, Huizong Li, Jianhan Pan

Int. J. Mach. Learn. Cybern., 2019

A fast attribute reduction method for large formal decision contexts.

Jinkun Chen, Ju-Sheng Mi, Bin Xie, Yaojin Lin

Int. J. Approx. Reason., 2019

Feature selection for multi-label learning with missing labels.

Chenxi Wang, Yaojin Lin, Jinghua Liu

Appl. Intell., 2019

Nonlinear Cross-Domain Feature Representation Learning Method Based on Dual Constraints.

Han Ding, Yuhong Zhang, Shuai Yang, Yaojin Lin

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

2018

Online multi-label streaming feature selection based on neighborhood rough set.

Jinghua Liu, Yaojin Lin, Yuwen Li, Wei Weng, Shunxiang Wu

Pattern Recognit., 2018

Multi-modal multi-layered topic classification model for social event analysis.

Yongheng Chen, Chunyan Yin, Yaojin Lin, Wanli Zuo

Multim. Tools Appl., 2018

Synthesizing decision rules from multiple information sources: a neighborhood granulation viewpoint.

Yaojin Lin, Huihuang Chen, Guoping Lin, Jinkun Chen, Zhouming Ma, Jinjin Li

Int. J. Mach. Learn. Cybern., 2018

Multi-label learning with label-specific features by resolving label correlations.

Jia Zhang, Candong Li, Donglin Cao, Yaojin Lin, Songzhi Su, Liang Dai, Shaozi Li

Knowl. Based Syst., 2018

Online Multi-label Group Feature Selection.

Jinghua Liu, Yaojin Lin, Shunxiang Wu, Chenxi Wang

Knowl. Based Syst., 2018

Attribute reduction for multi-label learning with fuzzy rough set.

Yaojin Lin, Yuwen Li, Chenxi Wang, Jinkun Chen

Knowl. Based Syst., 2018

A graph approach for knowledge reduction in formal contexts.

Jinkun Chen, Ju-Sheng Mi, Yaojin Lin

Knowl. Based Syst., 2018

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

Wei Weng, Yaojin Lin, Shunxiang Wu, Yuwen Li, Yun Kang

Neurocomputing, 2018

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

Yuwen Li, Yaojin Lin, Jinghua Liu, Wei Weng, Zhenkun Shi, Shunxiang Wu

Neurocomputing, 2018

On-line Evolutionary Sentiment Topic Analysis Modeling.

Yongheng Chen, Chunyan Yin, Yaojin Lin, Wanli Zuo

Int. J. Comput. Intell. Syst., 2018

2017

A Fitting Model for Feature Selection With Fuzzy Rough Sets.

Changzhong Wang, Yali Qi, Mingwen Shao, Qinghua Hu, Degang Chen, Yuhua Qian, Yaojin Lin

IEEE Trans. Fuzzy Syst., 2017

Streaming Feature Selection for Multilabel Learning Based on Fuzzy Mutual Information.

Yaojin Lin, Qinghua Hu, Jinghua Liu, Jinjin Li, Xindong Wu

IEEE Trans. Fuzzy Syst., 2017

A rough set method for the unicost set covering problem.

Qingyuan Xu, Anhui Tan, Yaojin Lin

Int. J. Mach. Learn. Cybern., 2017

Different classes' ratio fuzzy rough set based robust feature selection.

Yuwen Li, Shunxiang Wu, Yaojin Lin, Jinghua Liu

Knowl. Based Syst., 2017

Attribute reduction of covering decision systems by hypergraph model.

Jinkun Chen, Yaojin Lin, Guoping Lin, Jinjin Li, Yan-Lan Zhang

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).

Menglei Lin, Jinghua Liu, Chenxi Wang, Yaojin Lin

计算机科学, 2017

Phrase-based Topic and Sentiment Detection and Tracking Model using Incremental HDP.

Yongheng Chen, Yaojin Lin, Wanli Zuo

KSII Trans. Internet Inf. Syst., 2017

Feature selection based on quality of information.

Jinghua Liu, Yaojin Lin, Menglei Lin, Shunxiang Wu, Jia Zhang

Neurocomputing, 2017

Computational drug repositioning using collaborative filtering via multi-source fusion.

Jia Zhang, Candong Li, Yaojin Lin, Youwei Shao, Shaozi Li

Expert Syst. Appl., 2017

2016

A social tag clustering method based on common co-occurrence group similarity.

Huizong Li, Xuegang Hu, Yaojin Lin, Wei He, Jianhan Pan

Frontiers Inf. Technol. Electron. Eng., 2016

Multi-label feature selection with streaming labels.

Yaojin Lin, Qinghua Hu, Jia Zhang, Xindong Wu

Inf. Sci., 2016

Domain adaptation via Multi-Layer Transfer Learning.

Jianhan Pan, Xuegang Hu, Pei-Pei Li, Huizong Li, Wei He, Yuhong Zhang, Yaojin Lin

Neurocomputing, 2016

Multi-label feature selection based on neighborhood mutual information.

Yaojin Lin, Qinghua Hu, Jinghua Liu, Jinkun Chen, Jie Duan

Appl. Soft Comput., 2016

A rough set method for the minimum vertex cover problem of graphs.

Jinkun Chen, Yaojin Lin, Jinjin Li, Guoping Lin, Zhouming Ma, Anhui Tan

Appl. Soft Comput., 2016

An effective collaborative filtering algorithm based on user preference clustering.

Jia Zhang, Yaojin Lin, Menglei Lin, Jinghua Liu

Appl. Intell., 2016

2015

Fast approach to knowledge acquisition in covering information systems using matrix operations.

Anhui Tan, Jinjin Li, Guoping Lin, Yaojin Lin

Knowl. Based Syst., 2015

Quadruple Transfer Learning: Exploiting both shared and non-shared concepts for text classification.

Jianhan Pan, Xuegang Hu, Yuhong Zhang, Pei-Pei Li, Yaojin Lin, Huizong Li, Wei He, Lei Li

Knowl. Based Syst., 2015

Relationships between generalized rough sets based on covering and reflexive neighborhood system.

Yan-Lan Zhang, Changqing Li, Menglei Lin, Yaojin Lin

Inf. Sci., 2015

The relationship between attribute reducts in rough sets and minimal vertex covers of graphs.

Jinkun Chen, Yaojin Lin, Guoping Lin, Jinjin Li, Zhouming Ma

Inf. Sci., 2015

Relations of reduction between covering generalized rough sets and concept lattices.

Jinkun Chen, Jinjin Li, Yaojin Lin, Guoping Lin, Zhouming Ma

Inf. Sci., 2015

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

Yaojin Lin, Qinghua Hu, Jinghua Liu, Jie Duan

Neurocomputing, 2015

Matrix-based set approximations and reductions in covering decision information systems.

Anhui Tan, Jinjin Li, Yaojin Lin, Guoping Lin

Int. J. Approx. Reason., 2015

2014

Feature selection via neighborhood multi-granulation fusion.

Yaojin Lin, Jinjin Li, Peirong Lin, Guoping Lin, Jinkun Chen

Knowl. Based Syst., 2014

A new nearest neighbor classifier via fusing neighborhood information.

Yaojin Lin, Jinjin Li, Menglei Lin, Jinkun Chen

Neurocomputing, 2014

Quality of information-based source assessment and selection.

Yaojin Lin, Xuegang Hu, Xindong Wu

Neurocomputing, 2014

Ensemble learning from multiple information sources via label propagation and consensus.

Yaojin Lin, Xuegang Hu, Xindong Wu

Appl. Intell., 2014

2013

On the structure of definable sets in covering approximation spaces.

Jinkun Chen, Jinjin Li, Yaojin Lin

Int. J. Mach. Learn. Cybern., 2013

Computing connected components of simple undirected graphs based on generalized rough sets.

Jinkun Chen, Jinjin Li, Yaojin Lin

Knowl. Based Syst., 2013

Mining stable patterns in multiple correlated databases.

Yaojin Lin, Xuegang Hu, Xiaomei Li, Xindong Wu

Decis. Support Syst., 2013