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Explainable exercise recommendation with knowledge graph Journal article
Guan, Quanlong, Cheng, Xinghe, Xiao, Fang, Li, Zhuzhou, He, Chaobo, Fang, Liangda, Chen, Guanliang, Gong, Zhiguo, Luo, Weiqi. Explainable exercise recommendation with knowledge graph[J]. Neural Networks, 2025, 183, 106954.
Authors:  Guan, Quanlong;  Cheng, Xinghe;  Xiao, Fang;  Li, Zhuzhou;  He, Chaobo; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.0/7.9 | Submit date：2025/01/22
Exercise Recommendation  Knowledge Graph  Student Feature Extraction  
An Adaptive Deep Metric Learning Loss Function for Class-Imbalance Learning via Intraclass Diversity and Interclass Distillation Journal article
Du,Jie, Zhang,Xiaoci, Liu,Peng, Vong,Chi Man, Wang,Tianfu. An Adaptive Deep Metric Learning Loss Function for Class-Imbalance Learning via Intraclass Diversity and Interclass Distillation[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(11), 15372-15386.
Authors:  Du,Jie;  Zhang,Xiaoci;  Liu,Peng;  Vong,Chi Man;  Wang,Tianfu
Favorite | TC[WOS]:5 TC[Scopus]:9  IF:10.2/10.4 | Submit date：2023/08/03
Class-imbalance Learning (Cil)  Correlation  Deep Metric Learning (Dml)  Diverse And Discriminant Feature  Face Recognition  Feature Extraction  Learning Systems  Loss Function With Adaptive Weights  Semantic Correlations Between Classes  Semantics  Task Analysis  Ultrasonic Imaging  
Methodology and Experimental Verification for Predicting the Remaining Useful Life of Milling Cutters Based on Hybrid CNN-LSTM-Attention-PSA Journal article
Zhu, Mengge, Zhang, Ji, Bu, Lingfan, Nie, Sen, Bai, Yu, Zhao, Yueqi, Mei, Ning. Methodology and Experimental Verification for Predicting the Remaining Useful Life of Milling Cutters Based on Hybrid CNN-LSTM-Attention-PSA[J]. Machines, 2024, 12(11), 752.
Authors:  Zhu, Mengge;  Zhang, Ji;  Bu, Lingfan;  Nie, Sen;  Bai, Yu; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:2.1/2.2 | Submit date：2024/12/05
Remaining Useful Life  Cnn-lstm-attention-psa  Multi-channel Feature Extraction  Milling Cutter Wear  
Bracketing Image Restoration and Enhancement with High-Low Frequency Decomposition Conference paper
Chen, Genggeng, Dai, Kexin, Yang, Kangzhen, Hu, Tao, Chen, Xiangyu, Yang, Yongqing, Dong, Wei, Wu, Peng, Zhang, Yanning, Yan, Qingsen. Bracketing Image Restoration and Enhancement with High-Low Frequency Decomposition[C]:IEEE Computer Society, 2024, 6097-6107.
Authors:  Chen, Genggeng;  Dai, Kexin;  Yang, Kangzhen;  Hu, Tao;  Chen, Xiangyu; et al.
Favorite | TC[Scopus]:1 | Submit date：2024/11/05
Degradation  Computer Vision  Conferences  Feature Extraction  Image Restoration  Pattern Recognition  Image Enhancement  
Lightweight Attention Network Based on Fuzzy Logic for Person Re-Identification Conference paper
Yuan, Changmei, Liu, Xuanxuan, Guo, Li, Chen, Long, Chen, C. L.Philip. Lightweight Attention Network Based on Fuzzy Logic for Person Re-Identification[C]:Institute of Electrical and Electronics Engineers Inc., 2024.
Authors:  Yuan, Changmei;  Liu, Xuanxuan;  Guo, Li;  Chen, Long;  Chen, C. L.Philip
Favorite | TC[Scopus]:0 | Submit date：2024/10/10
Fuzzy Logic  Visualization  Pedestrians  Accuracy  Uncertainty  Feature Extraction  Robustness  Lightweight Network  Person Re-identification  Attention Mechanisms  
RL-CWtrans Net: multimodal swimming coaching driven via robot vision Journal article
Wang, Guanlin. RL-CWtrans Net: multimodal swimming coaching driven via robot vision[J]. Frontiers in Neurorobotics, 2024, 18, 1439188.
Authors:  Wang, Guanlin
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:2.6/3.1 | Submit date：2024/09/03
Artificial Neural Networks  Clip  Feature Extraction  Multimodal Robot  Reinforcement Learning  Robot Vision  Swin-transformer  
Robust Discriminative t-Linear Subspace Learning for Image Feature Extraction Journal article
Liu, Kangdao, Xiao, Xiaolin, You, Jinkun, Zhou, Yicong. Robust Discriminative t-Linear Subspace Learning for Image Feature Extraction[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(8), 7315-7327.
Authors:  Liu, Kangdao;  Xiao, Xiaolin;  You, Jinkun;  Zhou, Yicong
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:8.3/7.1 | Submit date：2024/05/16
Dimensionality Reduction  Image Feature Extraction  Subspace Learning  T-product  
Latent Linear Discriminant Analysis for feature extraction via Isometric Structural Learning Journal article
Zhou, Jianhang, Zhang, Qi, Zeng, Shaoning, Zhang, Bob, Fang, Leyuan. Latent Linear Discriminant Analysis for feature extraction via Isometric Structural Learning[J]. Pattern Recognition, 2024, 149, 110218.
Authors:  Zhou, Jianhang;  Zhang, Qi;  Zeng, Shaoning;  Zhang, Bob;  Fang, Leyuan
Favorite | TC[WOS]:7 TC[Scopus]:7  IF:7.5/7.6 | Submit date：2024/05/16
Feature Extraction  Latent Space  Linear Discriminant Analysis  Pattern Classification  Structure Learning  
Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces Journal article
Asgarian, Sepehr, Wang, Ze, Wan, Feng, Wong, Chi Man, Liu, Feng, Mohsenzadeh, Yalda, Wang, Boyu, Ling, Charles X.. Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73, 2509410.
Authors:  Asgarian, Sepehr;  Wang, Ze;  Wan, Feng;  Wong, Chi Man;  Liu, Feng; et al.
Favorite | TC[WOS]:1 TC[Scopus]:3  IF:5.6/5.6 | Submit date：2024/05/16
Electroencephalography  Feature Extraction  Brain Modeling  Electronic Mail  Transfer Learning  Convolutional Neural Networks  Computer Science  Electroencephalography (Eeg)  Multiview Contrastive  Neural Network  Riemannian Neural Network  Transfer Learning  Unsupervised Domain Adaptation (Uda)  
CTNet: Contrastive Transformer Network for Polyp Segmentation Journal article
Xiao, Bin, Hu, Jinwu, Li, Weisheng, Pun, Chi Man, Bi, Xiuli. CTNet: Contrastive Transformer Network for Polyp Segmentation[J]. IEEE Transactions on Cybernetics, 2024.
Authors:  Xiao, Bin;  Hu, Jinwu;  Li, Weisheng;  Pun, Chi Man;  Bi, Xiuli
Favorite | TC[WOS]:9 TC[Scopus]:12  IF:9.4/10.3 | Submit date：2024/05/16
Camouflaged Object Detection (Cod)  Contrastive Transformer  Defect Detection  Feature Extraction  Image Resolution  Object Detection  Polyp Segmentation  Semantic Segmentation  Semantics  Task Analysis  Transformers