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Multi-kernel partial label learning using graph contrast disambiguation Journal article
Li, Hongyan, Wan, Zhonglin, Vong, Chi Man. Multi-kernel partial label learning using graph contrast disambiguation[J]. Applied Intelligence, 2024, 54(20), 9760-9782.
Authors:  Li, Hongyan;  Wan, Zhonglin;  Vong, Chi Man
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.4/3.9 | Submit date：2024/08/05
Dispersion Graph  Multi-kernel Learning  Partial Label Learning  
Partial multi-label learning via robust feature selection and relevance fusion optimization Journal article
Qian, Wenbin, Tu, Yanqiang, Huang, Jintao, Ding, Weiping. Partial multi-label learning via robust feature selection and relevance fusion optimization[J]. Knowledge-Based Systems, 2024, 286, 111365.
Authors:  Qian, Wenbin;  Tu, Yanqiang;  Huang, Jintao;  Ding, Weiping
Favorite | TC[WOS]:2 TC[Scopus]:1  IF:7.2/7.4 | Submit date：2024/02/22
Feature Selection  Granular Ball Computing  Label Confidence  Partial Multi-label Learning  Relevance Optimization  
MASK-CNN-Transformer for real-time multi-label weather recognition Journal article
Chen, Shengchao, Shu, Ting, Zhao, Huan, Tang, Yuan Yan. MASK-CNN-Transformer for real-time multi-label weather recognition[J]. Knowledge-Based Systems, 2023, 278, 110881.
Authors:  Chen, Shengchao;  Shu, Ting;  Zhao, Huan;  Tang, Yuan Yan
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:7.2/7.4 | Submit date：2023/09/22
Convolutional Neural Network  Deep Learning  Multi-label Weather Recognition  Transformer  
A survey on multi-label feature selection from perspectives of label fusion Journal article
Qian, Wenbin, Huang, Jintao, Xu, Fankang, Shu, Wenhao, Ding, Weiping. A survey on multi-label feature selection from perspectives of label fusion[J]. Information Fusion, 2023, 100, 101948.
Authors:  Qian, Wenbin;  Huang, Jintao;  Xu, Fankang;  Shu, Wenhao;  Ding, Weiping
Favorite | TC[WOS]:17 TC[Scopus]:19  IF:14.7/16.1 | Submit date：2023/09/21
Dimensionality Reduction  Label Correlation  Label Enhancement  Label Fusion  Multi-label Feature Selection  Multi-label Learning  
Multi-graph embedding for partial label learning Journal article
Li,Hongyan, Vong,Chi Man, Wan,Zhonglin. Multi-graph embedding for partial label learning[J]. Neural Computing and Applications, 2023, 35, 20253–20271.
Authors:  Li,Hongyan;  Vong,Chi Man;  Wan,Zhonglin
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.5/4.7 | Submit date：2023/08/03
Disambiguation  Graph Structure  Multi-graph Embedding  Partial Label Learning  
Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) With Diverse Inter-Correlations and Its Application to Medical Image Classification Journal article
Lai,Qi, Zhou,Jianhang, Gan,Yanfen, Vong,Chi Man, Chen,C. L.Philip. Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) With Diverse Inter-Correlations and Its Application to Medical Image Classification[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 8(1), 828-839.
Authors:  Lai,Qi;  Zhou,Jianhang;  Gan,Yanfen;  Vong,Chi Man;  Chen,C. L.Philip
Favorite | TC[WOS]:1 TC[Scopus]:3  IF:5.3/5.7 | Submit date：2023/08/03
Biomedical Imaging  Computational Intelligence  Correlation  Diseases  Medical Image Classification  Multi-instance Learning  Multi-label Learning  Probabilistic Logic  Simultaneous Learning  Single-stage Framework  Task Analysis  Training  
Multi-Label Attribute Selection of Arrhythmia for Electrocardiogram Signals with Fusion Learning Journal article
Yang, Jie, Li, Jinfeng, Lan, Kun, Wei, Anruo, Wang, Han, Huang, Shigao, Fong, Simon. Multi-Label Attribute Selection of Arrhythmia for Electrocardiogram Signals with Fusion Learning[J]. Bioengineering-Basel, 2022, 9(7).
Authors:  Yang, Jie;  Li, Jinfeng;  Lan, Kun;  Wei, Anruo;  Wang, Han; et al.
Favorite | TC[WOS]:2 TC[Scopus]:6 | Submit date：2022/09/30
Arrhythmia Recognition  Electrocardiogram Signals  Fusion Learning  Multi-label Attribute Selection  
Accurate and Efficient Large-Scale Multi-Label Learning With Reduced Feature Broad Learning System Using Label Correlation Journal article
Huang, Jintao, Vong, Chi Man, Chen, C. L.P., Zhou, Yimin. Accurate and Efficient Large-Scale Multi-Label Learning With Reduced Feature Broad Learning System Using Label Correlation[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022, 34(12), 10240-10253.
Authors:  Huang, Jintao;  Vong, Chi Man;  Chen, C. L.P.;  Zhou, Yimin
Favorite | TC[WOS]:13 TC[Scopus]:10  IF:10.2/10.4 | Submit date：2022/05/17
Broad Learning System (Bls)  Multi-label Classification  Large-scale Data  Feature Reduction  Support Vector Machines  Deep Learning  Kernel  Computational Modeling  Task Analysis  Learning Systems  Training  
Discriminable multi-label attribute selection for pre-course student performance prediction Journal article
Yang, Jie, Hu, Shimin, Wang, Qichao, Fong, Simon. Discriminable multi-label attribute selection for pre-course student performance prediction[J]. Entropy, 2021, 23(10).
Authors:  Yang, Jie;  Hu, Shimin;  Wang, Qichao;  Fong, Simon
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:2.1/2.2 | Submit date：2021/12/08
Educational Data Mining  Academic Early Warning System  Student Performance Prediction  Multi-label Learning  Attribute Selection  
Analysis of Customer Segmentation Based on Broad Learning System Conference paper
Wang, Zhenyu, Zuo, Yi, Li, Tieshan, Philip Chen, C. L., Yada, Katsutoshi. Analysis of Customer Segmentation Based on Broad Learning System[C]:IEEE, 2019, 75-80.
Authors:  Wang, Zhenyu;  Zuo, Yi;  Li, Tieshan;  Philip Chen, C. L.;  Yada, Katsutoshi
Favorite | TC[Scopus]:7 | Submit date：2022/05/17
Consumer Behavior  Customer Segmentation  In-store Behavior  Multi-label Classification  Machine Learning