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Multi-node joint optimization for fine-grained vehicle trajectory reconstruction using vehicle appearance and identity data Journal article
Qiu, Mingkai, Lu, Yuhuan, Li, Xiying. Multi-node joint optimization for fine-grained vehicle trajectory reconstruction using vehicle appearance and identity data[J]. Transportation Research Part C: Emerging Technologies, 2025, 171, 104995.
Authors:  Qiu, Mingkai;  Lu, Yuhuan;  Li, Xiying
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.6/9.6 | Submit date：2025/01/22
Fine-grained Vehicle Trajectory Reconstruction  Automatic Vehicle Identification Data  Vehicle Appearance Feature  Multi-node Joint Optimization  
Machinery multi-sensor fault diagnosis based on adaptive multivariate feature mode decomposition and multi-attention fusion residual convolutional neural network Journal article
Yan Xiaoan, Yan Wangji, Xu Yadong, Yuen Kaveng. Machinery multi-sensor fault diagnosis based on adaptive multivariate feature mode decomposition and multi-attention fusion residual convolutional neural network[J]. Mechanical Systems and Signal Processing, 2023, 202, 110664.
Authors:  Yan Xiaoan;  Yan Wangji;  Xu Yadong;  Yuen Kaveng
Adobe PDF | Favorite | TC[WOS]:39 TC[Scopus]:44  IF:7.9/8.0 | Submit date：2023/08/30
Multivariate Feature Mode Decomposition  Multi-attention Fusion Residual Convolutional Neural Network  Multi-sensor Data  Machinery Fault Diagnosis  
Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process Journal article
Jintao Huang, Wenbin Qian, Chi Man Vong, Weiping Ding, Wenhao Shu, Qin Huang. Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 7(5), 1377 - 1393.
Authors:  Jintao Huang;  Wenbin Qian;  Chi Man Vong;  Weiping Ding;  Wenhao Shu; et al.
Favorite | TC[WOS]:9 TC[Scopus]:11  IF:5.3/5.7 | Submit date：2023/08/03
Feature Selection  Label Enhancement  Multi-label Data  Analytic Hierarchy Process  Label Correlation  
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]:17 TC[Scopus]:16  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  
Information Fusion: Machine Learning Methods Book
Li, Jinxing, Zhang, Bob, Zhang, David. Information Fusion: Machine Learning Methods[M]. Singapore:Springer Nature, 2022, 1-260.
Authors:  Li, Jinxing;  Zhang, Bob;  Zhang, David
Favorite | TC[Scopus]:4 | Submit date：2023/08/25
Classifier Fusion  Collaborative Representation  Data Fusion  Deep Learning  Information Fusion  Kernel  Metric Learning  Multi-feature Data  Multi-modal Data  Multi-view Data  Multi-view Learning  Sparse Representation  Weight Fusion  
Multistage Curvature-guided Network for Progressive Single Image Reflection Removal Journal article
Binbin Song, Jiantao Zhou, Haiwei Wu. Multistage Curvature-guided Network for Progressive Single Image Reflection Removal[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 32(10), 6515-6529.
Authors:  Binbin Song;  Jiantao Zhou;  Haiwei Wu
Favorite | TC[WOS]:13 TC[Scopus]:16  IF:8.3/7.1 | Submit date：2022/05/17
Curvature Guidance  Decoding  Feature Extraction  Image Restoration  Multi-stage Network  Network Architecture  Non-local Attention  Semantics  Single Image Reflection Removal  Training  Training Data  
Feature selection based on label distribution and fuzzy mutual information Journal article
Xiong, Chuanzhen, Qian, Wenbin, Wang, Yinglong, Huang, Jintao. Feature selection based on label distribution and fuzzy mutual information[J]. INFORMATION SCIENCES, 2021, 574, 297-319.
Authors:  Xiong, Chuanzhen;  Qian, Wenbin;  Wang, Yinglong;  Huang, Jintao
Favorite | TC[WOS]:47 TC[Scopus]:48  IF:0/0 | Submit date：2021/12/08
Feature Selection  Label Enhancement  Granular Computing  Multi-label Data  Label Distribution  Fuzzy Rough Set  
Multi-Attribute Based Fuzzy C-means in Approximated Feature Space Conference paper
Liu, Zhulin, Chen, C. L. Philip, Chen, Long, Zhoto, Jin. Multi-Attribute Based Fuzzy C-means in Approximated Feature Space[C], 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE, 2017.
Authors:  Liu, Zhulin;  Chen, C. L. Philip;  Chen, Long;  Zhoto, Jin
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2018/10/30
Fuzzy C-means  Random Features  Random Fourier Features Maps  Quasi-monte Carlo Feature Maps  Weighted Multi-kernel Fuzzy C-means  Maximum Entropy Method For Weighted Data