Mining stable patterns in multiple correlated databases. - Yaojin Lin; Xuegang Hu; Xiaomei Li; Xindong Wu 001 (Decis. Support Syst., 2013)

Computing connected components of simple undirected graphs based on generalized rough sets. - Jinkun Chen; Jinjin Li 001; Yaojin Lin (Knowl. Based Syst., 2013)

On the structure of definable sets in covering approximation spaces. - Jinkun Chen; Jinjin Li 001; Yaojin Lin (Int. J. Mach. Learn. Cybern., 2013)

Ensemble learning from multiple information sources via label propagation and consensus. - Yaojin Lin; Xuegang Hu; Xindong Wu 001 (Appl. Intell., 2014)

Quality of information-based source assessment and selection. - Yaojin Lin; Xuegang Hu; Xindong Wu 001 (Neurocomputing, 2014)

A new nearest neighbor classifier via fusing neighborhood information. - Yaojin Lin; Jinjin Li 001; Menglei Lin; Jinkun Chen (Neurocomputing, 2014)

Feature selection via neighborhood multi-granulation fusion. - Yaojin Lin; Jinjin Li 001; Peirong Lin; Guoping Lin; Jinkun Chen (Knowl. Based Syst., 2014)

Matrix-based set approximations and reductions in covering decision information systems. - Anhui Tan; Jinjin Li 001; Yaojin Lin; Guoping Lin (Int. J. Approx. Reason., 2015)

Multi-label feature selection based on max-dependency and min-redundancy. - Yaojin Lin; Qinghua Hu; Jinghua Liu; Jie Duan 002 (Neurocomputing, 2015)

Relations of reduction between covering generalized rough sets and concept lattices. - Jinkun Chen; Jinjin Li 001; Yaojin Lin; Guoping Lin; Zhouming Ma (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 001; Zhouming Ma (Inf. Sci., 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)

Quadruple Transfer Learning: Exploiting both shared and non-shared concepts for text classification. - Jianhan Pan; Xuegang Hu; Yuhong Zhang 002; Pei-Pei Li 001; Yaojin Lin; Huizong Li; Wei He; Lei Li 002 (Knowl. Based Syst., 2015)

Fast approach to knowledge acquisition in covering information systems using matrix operations. - Anhui Tan; Jinjin Li 001; Guoping Lin; Yaojin Lin (Knowl. Based Syst., 2015)

An effective collaborative filtering algorithm based on user preference clustering. - Jia Zhang; Yaojin Lin; Menglei Lin; Jinghua Liu (Appl. Intell., 2016)

A rough set method for the minimum vertex cover problem of graphs. - Jinkun Chen; Yaojin Lin; Jinjin Li 001; Guoping Lin; Zhouming Ma; Anhui Tan (Appl. Soft Comput., 2016)

Multi-label feature selection based on neighborhood mutual information. - Yaojin Lin; Qinghua Hu; Jinghua Liu; Jinkun Chen; Jie Duan 002 (Appl. Soft Comput., 2016)

Domain adaptation via Multi-Layer Transfer Learning. - Jianhan Pan; Xuegang Hu; Pei-Pei Li 001; Huizong Li; Wei He; Yuhong Zhang 002; Yaojin Lin (Neurocomputing, 2016)

Multi-label feature selection with streaming labels. - Yaojin Lin; Qinghua Hu; Jia Zhang; Xindong Wu 001 (Inf. Sci., 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)

Computational drug repositioning using collaborative filtering via multi-source fusion. - Jia Zhang; Candong Li; Yaojin Lin; Youwei Shao; Shaozi Li (Expert Syst. Appl., 2017)

Feature selection based on quality of information. - Jinghua Liu; Yaojin Lin; Menglei Lin; Shunxiang Wu; Jia Zhang (Neurocomputing, 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)

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 002; Yaojin Lin (计算机科学, 2017)

Attribute reduction of covering decision systems by hypergraph model. - Jinkun Chen; Yaojin Lin; Guoping Lin; Jinjin Li 001; Yan-Lan Zhang (Knowl. Based Syst., 2017)

Different classes' ratio fuzzy rough set based robust feature selection. - Yuwen Li; Shunxiang Wu; Yaojin Lin; Jinghua Liu (Knowl. Based Syst., 2017)

A rough set method for the unicost set covering problem. - Qingyuan Xu; Anhui Tan; Yaojin Lin (Int. J. Mach. Learn. Cybern., 2017)

Streaming Feature Selection for Multilabel Learning Based on Fuzzy Mutual Information. - Yaojin Lin; Qinghua Hu; Jinghua Liu; Jinjin Li 001; Xindong Wu 001 (IEEE Trans. Fuzzy Syst., 2017)

A Fitting Model for Feature Selection With Fuzzy Rough Sets. - Changzhong Wang; Yali Qi; Mingwen Shao; Qinghua Hu; Degang Chen 002; Yuhua Qian; Yaojin Lin (IEEE Trans. Fuzzy Syst., 2017)

On-line Evolutionary Sentiment Topic Analysis Modeling. - Yongheng Chen; Chunyan Yin; Yaojin Lin; Wanli Zuo (Int. J. Comput. Intell. Syst., 2018)

Feature selection for multi-label learning based on kernelized fuzzy rough sets. - Yuwen Li; Yaojin Lin; Jinghua Liu; Wei Weng 002; Zhenkun Shi; Shunxiang Wu (Neurocomputing, 2018)

Multi-label learning based on label-specific features and local pairwise label correlation. - Wei Weng 002; Yaojin Lin; Shunxiang Wu; Yuwen Li; Yun Kang (Neurocomputing, 2018)

A graph approach for knowledge reduction in formal contexts. - Jinkun Chen; Ju-Sheng Mi; Yaojin Lin (Knowl. Based Syst., 2018)

Attribute reduction for multi-label learning with fuzzy rough set. - Yaojin Lin; Yuwen Li; Chenxi Wang 002; Jinkun Chen (Knowl. Based Syst., 2018)

Online Multi-label Group Feature Selection. - Jinghua Liu; Yaojin Lin; Shunxiang Wu; Chenxi Wang 002 (Knowl. Based Syst., 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)

Synthesizing decision rules from multiple information sources: a neighborhood granulation viewpoint. - Yaojin Lin; Huihuang Chen; Guoping Lin; Jinkun Chen; Zhouming Ma; Jinjin Li 001 (Int. J. Mach. Learn. Cybern., 2018)

Multi-modal multi-layered topic classification model for social event analysis. - Yongheng Chen; Chunyan Yin; Yaojin Lin; Wanli Zuo (Multim. Tools Appl., 2018)

Online multi-label streaming feature selection based on neighborhood rough set. - Jinghua Liu; Yaojin Lin; Yuwen Li; Wei Weng 002; Shunxiang Wu (Pattern Recognit., 2018)

Nonlinear Cross-Domain Feature Representation Learning Method Based on Dual Constraints. - Han Ding; Yuhong Zhang 002; Shuai Yang 003; Yaojin Lin (ICBK, 2019)

Feature selection for multi-label learning with missing labels. - Chenxi Wang 002; Yaojin Lin; Jinghua Liu (Appl. Intell., 2019)

A fast attribute reduction method for large formal decision contexts. - Jinkun Chen; Ju-Sheng Mi; Bin Xie 003; Yaojin Lin (Int. J. Approx. Reason., 2019)

An efficient and fast algorithm for community detection based on node role analysis. - Xuegang Hu; Wei He; Lei Li 002; Yaojin Lin; Huizong Li; Jianhan Pan (Int. J. Mach. Learn. Cybern., 2019)

Online Streaming Feature Selection Based on Feature Interaction. - Yan Lv; Yaojin Lin; Xiangyan Chen; Dongxing Wang; Chenxi Wang 002 (ICKG, 2020)

A graph approach for fuzzy-rough feature selection. - Jinkun Chen; Jusheng Mi; Yaojin Lin (Fuzzy Sets Syst., 2020)

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 (CVPR, 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 (CVPR, 2021)

A Multi-Constraint Similarity Learning with Adaptive Weighting for Visible-Thermal Person Re-Identification. - Yongguo Ling; Zhiming Luo; Yaojin Lin; Shaozi Li (IJCAI, 2021)

Text-based Person Search via Multi-Granularity Embedding Learning. - Chengji Wang; Zhiming Luo; Yaojin Lin; Shaozi Li (IJCAI, 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)

Kernelized fuzzy rough sets based online streaming feature selection for large-scale hierarchical classification. - Shengxing Bai; Yaojin Lin; Yan Lv; Jinkun Chen; Chenxi Wang 002 (Appl. Intell., 2021)

Causality-based online streaming feature selection. - Longzhu Li; Yaojin Lin; Hong Zhao 002; Jinkun Chen; Shaozi Li (Concurr. Comput. Pract. Exp., 2021)

Feature interaction based online streaming feature selection via buffer mechanism. - Yan Lv; Yaojin Lin; Xiangyan Chen; Chenxi Wang 002; Shaozi Li (Concurr. Comput. Pract. Exp., 2021)

Towards graph-based class-imbalance learning for hospital readmission. - Guodong Du 002; Jia Zhang; Fenglong Ma; Min Zhao; Yaojin Lin; Shaozi Li (Expert Syst. Appl., 2021)

Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification. - Lin Sun 002; Tianxiang Wang; Weiping Ding 001; Jiucheng Xu; Yaojin Lin (Inf. Sci., 2021)

Hierarchical classification of data with long-tailed distributions via global and local granulation. - Hong Zhao 002; Shunxin Guo; Yaojin Lin (Inf. Sci., 2021)

Multi-Rhythm Capsule Network Recognition Structure for Motor Imagery Classification. - Meiyan Xu; Junfeng Yao; Yifeng Zheng; Yaojin Lin (J. Web Eng., 2021)

Attribute reduction in formal decision contexts and its application to finite topological spaces. - Jinkun Chen; Jusheng Mi; Bin Xie 003; Yaojin Lin (Int. J. Mach. Learn. Cybern., 2021)

WGNet: Wider graph convolution networks for 3D point cloud classification with local dilated connecting and context-aware. - Yiping Chen; Zhipeng Luo; Wen Li 005; Haojia Lin; Abdul Nurunnabi; Yaojin Lin; Cheng Wang 003; Xiao-Ping Zhang 002; Jonathan Li 001 (Int. J. Appl. Earth Obs. Geoinformation, 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 003; Xueling Pan; Yaojin Lin (Appl. Intell., 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)

Online streaming feature selection for multigranularity hierarchical classification learning. - Chenxi Wang 002; Xiaoqing Zhang; Liqin Ye; Yu Mao; Shaozi Li; Yaojin Lin (Concurr. Comput. Pract. Exp., 2022)

Neighborhood rough set based multi-label feature selection with label correlation. - Yilin Wu 001; Jinghua Liu; Xiehua Yu; Yaojin Lin; Shaozi Li (Concurr. Comput. Pract. Exp., 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)

Few-shot learning based on hierarchical classification via multi-granularity relation networks. - Yuling Su; Hong Zhao 002; Yaojin Lin (Int. J. Approx. Reason., 2022)

Multi-task convolutional neural network with coarse-to-fine knowledge transfer for long-tailed classification. - Zhengyu Li 003; Hong Zhao 002; Yaojin Lin (Inf. Sci., 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-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)

Improving embedding learning by virtual attribute decoupling for text-based person search. - Chengji Wang; Zhiming Luo; Yaojin Lin; Shaozi Li (Neural Comput. Appl., 2022)

A Spectral Feature Selection Approach With Kernelized Fuzzy Rough Sets. - Jinkun Chen; Yaojin Lin; Jusheng Mi; Shaozi Li; Weiping Ding 001 (IEEE Trans. Fuzzy Syst., 2022)

MULFE: Multi-Label Learning via Label-Specific Feature Space Ensemble. - Yaojin Lin; Qinghua Hu; Jinghua Liu; Xingquan Zhu 001; Xindong Wu 001 (ACM Trans. Knowl. Discov. Data, 2022)

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 (AAAI, 2023)

ASFS: A novel streaming feature selection for multi-label data based on neighborhood rough set. - Jinghua Liu; Yaojin Lin; Jixiang Du; Hongbo Zhang 002; Ziyi Chen 001; Jia Zhang (Appl. Intell., 2023)

Feature selection using binary monarch butterfly optimization. - Lin Sun 002; Shanshan Si; Jing Zhao; Jiucheng Xu; Yaojin Lin; Zhiying Lv (Appl. Intell., 2023)

Label distribution learning with high-order label correlations. - Yulin Li; Yaojin Lin; Xiehua Yu; Lei Guo 020; Shaozi Li (Concurr. Comput. Pract. Exp., 2023)

Multi-label feature selection based on relative entropy and fuzzy neighborhood mutual discrimination index. - Chenxi Wang 002; Chen E; Mengli Ren; Lei Guo 020; Xiehua Yu; Yaojin Lin; Shaozi Li (Concurr. Comput. Pract. Exp., 2023)

Online feature selection for hierarchical classification learning based on improved ReliefF. - Chenxi Wang 002; Mengli Ren; Chen E; Lei Guo 020; Xiehua Yu; Yaojin Lin; Shaozi Li (Concurr. Comput. Pract. Exp., 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)

Semantic-gap-oriented feature selection in hierarchical classification learning. - Haoyang Liu; Yaojin Lin; Chenxi Wang 002; Lei Guo 020; Jinkun Chen (Inf. Sci., 2023)

Fuzzy Mutual Information-Based Multilabel Feature Selection With Label Dependency and Streaming Labels. - Jinghua Liu; Yaojin Lin; Weiping Ding 001; Hongbo Zhang 002; Jixiang Du (IEEE Trans. Fuzzy Syst., 2023)

Multi-label feature selection based on label distribution and neighborhood rough set. - Jinghua Liu; Yaojin Lin; Weiping Ding 001; Hongbo Zhang 002; Cheng Wang 003; Jixiang Du (Neurocomputing, 2023)

Online Multi-Label Streaming Feature Selection With Label Correlation. - Dianlong You; Yang Wang 164; Jiawei Xiao; Yaojin Lin; Maosheng Pan; Zhen Chen 007; Limin Shen; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Hierarchical Feature Selection Based on Label Distribution Learning. - Yaojin Lin; Haoyang Liu; Hong Zhao 002; Qinghua Hu; Xingquan Zhu 001; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Inverse transformation sampling-based attentive cutout for fine-grained visual recognition. - Chen Guo; Yaojin Lin; Meiyan Xu; Mingwen Shao; Junfeng Yao (Vis. Comput., 2023)

Graph-Based Class-Imbalance Learning With Label Enhancement. - Guodong Du 002; Jia Zhang; Min Jiang 005; Jinyi Long; Yaojin Lin; Shaozi Li; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2023)

Multi-label feature selection based on correlation label enhancement. - Zhuoxin He; Yaojin Lin; Chenxi Wang 002; Lei Guo 020; Weiping Ding 001 (Inf. Sci., 2023)

Multi-label feature selection via joint label enhancement and pairwise label correlations. - Jinghua Liu; Songwei Yang; Yaojin Lin; Chenxi Wang 002; Cheng Wang 020; Jixiang Du (Int. J. Mach. Learn. Cybern., 2023)

Online multi-label streaming feature selection based on neighborhood rough set with label correlation. - Siping Pan; Yaojin Lin; Yu Mao; Shaojie Lin (ICAIE, 2024)

Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition. - Haoyang Liu; Yaojin Lin; Peipei Li 001; Jun Hu 016; Xuegang Hu (IJCAI, 2024)

Online Multi-label Streaming Feature Selection Based on Neighborhood Approximation Error Rate and Label Correlation. - Siping Pan; Juda Zhong; Yu Mao; Yaojin Lin (IJCRS (2), 2024)

Online hierarchical streaming feature selection based on adaptive neighborhood rough set. - Tongxin Shu; Yaojin Lin; Lei Guo 020 (Appl. Soft Comput., 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)

Hierarchical feature selection based on neighborhood interclass spacing from fine to coarse. - Zilong Lin 002; Yaojin Lin (Neurocomputing, 2024)

Multi-label feature selection via similarity constraints with non-negative matrix factorization. - Zhuoxin He; Yaojin Lin; Zilong Lin 002; Chenxi Wang 002 (Knowl. Based Syst., 2024)

Learning correlation information for multi-label feature selection. - Yuling Fan; Jinghua Liu; Jianeng Tang; Peizhong Liu; Yaojin Lin; Yongzhao Du (Pattern Recognit., 2024)

Multi-Label Feature Selection via Positive or Negative Correlation. - Yaojin Lin; Zhuoxin He; Lei Guo 020; Weiping Ding 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Learning implicit labeling-importance and label correlation for multi-label feature selection with streaming labels. - Jinghua Liu; Wei Wei; Yaojin Lin; Lijie Yang 001; Hongbo Zhang 002 (Pattern Recognit., 2024)

Feature selection for label distribution learning under feature weight view. - Shidong Lin; Chenxi Wang 002; Yu Mao; Yaojin Lin (Int. J. Mach. Learn. Cybern., 2024)

Label Distribution Learning Based on Horizontal and Vertical Mining of Label Correlations. - Yaojin Lin; Yulin Li; Chenxi Wang 002; Lei Guo 020; Jinkun Chen (IEEE Trans. Big Data, 2024)

Online streaming feature selection based on hierarchical structure information. - Shuxian Lin; Chenxi Wang 002; Xiehua Yu; Huirong Fang; Yaojin Lin (Concurr. Comput. Pract. Exp., 2024)

Label distribution feature selection based on neighborhood rough set. - Yilin Wu 001; Wenzhong Guo; Yaojin Lin (Concurr. Comput. Pract. Exp., 2024)

Mutable hierarchy feature selection based on generalized fuzzy rough sets. - Zilong Lin 002; Yaojin Lin; Chenxi Wang 002; Jinkun Chen (Appl. Soft Comput., 2025)

Feature selection considering synergy between features based on soft neighborhood rough sets. - Lubin Chen; Jinkun Chen; Yaojin Lin (Eng. Appl. Artif. Intell., 2025)

Label distribution learning with correlation information. - Yilin Wu 001; Yaojin Lin; Wenzhong Guo; Weiping Ding 001 (Eng. Appl. Artif. Intell., 2025)

Hierarchical feature selection via joint local label enhancement and neighborhood label distribution correlation. - Chenxi Wang 002; Weihang Liu; Lei Guo 020; Yaojin Lin (Knowl. Based Syst., 2025)

Partial multi-label feature selection based on label distribution learning. - Yaojin Lin; Yulin Li; Shidong Lin; Lei Guo 020; Yu Mao (Pattern Recognit., 2025)

Hierarchical feature selection driven by inter-category relevance and semantic independence. - Zilong Lin 002; Yaojin Lin; Yang Zhang; Hong Zhao 002 (Pattern Recognit., 2025)

Online streaming feature selection for high-dimensional small-sample data. - Kuangfeng Gong; Guohe Li; Lingyun Guo; Yaojin Lin (Int. J. Mach. Learn. Cybern., 2025)

Multi-granularity decision information integration network for hierarchical classification via local and global constraints. - Haoyang Liu; Peipei Li; Xuegang Hu; Shengxing Bai; Yaojin Lin (Appl. Intell., 2025)