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A Low-Overhead Incorporation-Extrapolation based Few-Shot CSI Feedback Framework for Massive MIMO Systems Journal article
Zhou, Binggui, Yang, Xi, Wang, Jintao, Ma, Shaodan, Gao, Feifei, Yang, Guanghua. A Low-Overhead Incorporation-Extrapolation based Few-Shot CSI Feedback Framework for Massive MIMO Systems[J]. IEEE Transactions on Wireless Communications, 2024, 23(10), 14743-14758.
Authors:  Zhou, Binggui;  Yang, Xi;  Wang, Jintao;  Ma, Shaodan;  Gao, Feifei; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.9/8.6 | Submit date：2024/08/05
Aigc  Csi Feedback  Domain Knowledge  Few-shot Learning  Massive Mimo  
Few-Shot Learning in Wi-Fi-Based Indoor Positioning Journal article
Xie, Feng, Lam, Soi Hoi, Xie, Ming, Wang, Cheng. Few-Shot Learning in Wi-Fi-Based Indoor Positioning[J]. Biomimetics, 2024, 9(9), 551.
Authors:  Xie, Feng;  Lam, Soi Hoi;  Xie, Ming;  Wang, Cheng
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.4/3.8 | Submit date：2024/10/10
Cosine Similarity  Few-sample Learning  Few-shot Learning  Indoor Positioning  Limited Labeled Data  Meta-learning  
DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot Learning Conference paper
Shao, Shuai, Bai, Yu, Wang, Yan, Liu, Baodi, Zhou, Yicong. DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot Learning[C]:IEEE Computer Society, 2024, 28505-28514.
Authors:  Shao, Shuai;  Bai, Yu;  Wang, Yan;  Liu, Baodi;  Zhou, Yicong
Favorite | TC[Scopus]:1 | Submit date：2024/11/05
Computer Vision  Filtering  Noise Reduction  Transforms  Pattern Recognition  Few Shot Learning  Clip  Open-world Few-shot Learning  
A fast interpretable adaptive meta-learning enhanced deep learning framework for diagnosis of diabetic retinopathy Journal article
Wang, Maofa, Gong, Qizhou, Wan, Quan, Leng, Zhixiong, Xu, Yanlin, Yan, Bingchen, Zhang, He, Huang, Hongliang, Sun, Shaohua. A fast interpretable adaptive meta-learning enhanced deep learning framework for diagnosis of diabetic retinopathy[J]. Expert Systems with Applications, 2024, 244, 123074.
Authors:  Wang, Maofa;  Gong, Qizhou;  Wan, Quan;  Leng, Zhixiong;  Xu, Yanlin; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:7.5/7.6 | Submit date：2024/05/16
Adaptive Meta-learning  Deep Learning  Few-shot Classification  Interpretability  Logistic Regression  
Multi-contrast learning-guided lightweight few-shot learning scheme for predicting breast cancer molecular subtypes Journal article
Pan, Xiang, Wang, Pei, Jia, Shunyuan, Wang, Yihang, Liu, Yuan, Zhang, Yan, Jiang, Chunjuan. Multi-contrast learning-guided lightweight few-shot learning scheme for predicting breast cancer molecular subtypes[J]. Medical and Biological Engineering and Computing, 2024, 62(5), 1601-1613.
Authors:  Pan, Xiang;  Wang, Pei;  Jia, Shunyuan;  Wang, Yihang;  Liu, Yuan; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:2.6/2.7 | Submit date：2024/05/16
Breast Cancer  Few-shot Learning  One-vs-one  One-vs-rest  
Generalized Few-Shot Node Classification With Graph Knowledge Distillation Journal article
Wang, Jialong, Zhou, Mengting, Zhang, Shilong, Gong, Zhiguo. Generalized Few-Shot Node Classification With Graph Knowledge Distillation[J]. IEEE Transactions on Computational Social Systems, 2024.
Authors:  Wang, Jialong;  Zhou, Mengting;  Zhang, Shilong;  Gong, Zhiguo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.5/4.6 | Submit date：2024/05/16
Few-shot Learning (Fsl)  Graph Neural Networks (Gnns)  Knowledge Distillation  Node Classification  
Few-Shot Object Detection With Self-Supervising and Cooperative Classifier Journal article
Qi,Di, Hu,Jilin, Shen,Jianbing. Few-Shot Object Detection With Self-Supervising and Cooperative Classifier[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 35(4), 5435-5446.
Authors:  Qi,Di;  Hu,Jilin;  Shen,Jianbing
Favorite | TC[WOS]:2 TC[Scopus]:0  IF:10.2/10.4 | Submit date：2023/08/03
Cooperative Classifier (Cc)  Few-shot Object Detection (Fsod)  Self-supervised Learning (Ssl)  
Dual Branch Multi-Level Semantic Learning for Few-Shot Segmentation Journal article
Chen, Yadang, Jiang, Ren, Zheng, Yuhui, Sheng, Bin, Yang, Zhi Xin, Wu, Enhua. Dual Branch Multi-Level Semantic Learning for Few-Shot Segmentation[J]. IEEE Transactions on Image Processing, 2024, 33, 1432-1447.
Authors:  Chen, Yadang;  Jiang, Ren;  Zheng, Yuhui;  Sheng, Bin;  Yang, Zhi Xin; et al.
Favorite | TC[WOS]:6 TC[Scopus]:8  IF:10.8/12.1 | Submit date：2024/05/16
Contrastive Learning  Few-shot Learning  Metric Learning  Semantic Segmentation  
PFENet++: Boosting Few-Shot Semantic Segmentation with the Noise-Filtered Context-Aware Prior Mask Journal article
Luo, Xiaoliu, Tian, Zhuotao, Zhang, Taiping, Yu, Bei, Tang, Yuan Yan, Jia, Jiaya. PFENet++: Boosting Few-Shot Semantic Segmentation with the Noise-Filtered Context-Aware Prior Mask[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, 46(2), 1273 - 1289.
Authors:  Luo, Xiaoliu;  Tian, Zhuotao;  Zhang, Taiping;  Yu, Bei;  Tang, Yuan Yan; et al.
Favorite | TC[WOS]:8 TC[Scopus]:11  IF:20.8/22.2 | Submit date：2024/03/12
Few-shot Learning  Few-shot Segmentation  Scene Understanding  Semantic Segmentation  
Psanet: prototype-guided salient attention for few-shot segmentation Journal article
Li, Hao, Huang, Guoheng, Yuan, Xiaochen, Zheng, Zewen, Chen, Xuhang, Zhong, Guo, Pun, Chi Man. Psanet: prototype-guided salient attention for few-shot segmentation[J]. Visual Computer, 2024.
Authors:  Li, Hao;  Huang, Guoheng;  Yuan, Xiaochen;  Zheng, Zewen;  Chen, Xuhang; et al.
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:3.0/3.0 | Submit date：2024/09/03
Attention Mechanism  Contrastive Learning  Few-shot Segmentation  Semantic Segmentation