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From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited Journal article
Wang, Zheng, Ding, Hongming, Pan, Li, Li, Jianhua, Gong, Zhiguo, Yu, Philip S.. From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024.
Authors:  Wang, Zheng;  Ding, Hongming;  Pan, Li;  Li, Jianhua;  Gong, Zhiguo; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:10.2/10.4 | Submit date：2024/11/05
Data Mining  Graph Convolutional Neural Networks  Graph-based Semi-supervised Learning (Gssl)  
Self-ensembling depth completion via density-aware consistency Journal article
Zhang, Xuanmeng, Zheng, Zhedong, Jiang, Minyue, Ye, Xiaoqing. Self-ensembling depth completion via density-aware consistency[J]. Pattern Recognition, 2024, 154, 110618.
Authors:  Zhang, Xuanmeng;  Zheng, Zhedong;  Jiang, Minyue;  Ye, Xiaoqing
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.5/7.6 | Submit date：2024/07/04
Density-aware Consistency  Depth Completion  Semi-supervised Learning  Uncertainty Estimation  
Adversarial de-overlapping learning machines for supervised and semi-supervised learning Journal article
Sun, Yichen, Vong, Chi Man, Wang, Shitong. Adversarial de-overlapping learning machines for supervised and semi-supervised learning[J]. International Journal of Machine Learning and Cybernetics, 2024.
Authors:  Sun, Yichen;  Vong, Chi Man;  Wang, Shitong
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.1/3.6 | Submit date：2024/11/05
Class Overlapping  Imbalanced Classification  Random Fourier Features  Semi-supervised Learning  
Semi-supervised vanishing point detection with contrastive learning Journal article
Yukun Wang, Shuo Gu, Yinbo Liu, KONG HUI. Semi-supervised vanishing point detection with contrastive learning[J]. Pattern Recognition, 2024, 153, 110518.
Authors:  Yukun Wang;  Shuo Gu;  Yinbo Liu;  KONG HUI
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.5/7.6 | Submit date：2024/05/14
Vanishing Point Detection  Semi-supervised Learning  Contrastive Learning  
UWFormer: Underwater Image Enhancement via a Semi-Supervised Multi-Scale Transformer Conference paper
Weiwen Chen, Yingtie Lei, Shenghong Luo, Ziyang Zhou, Mingxian Li, Chi-Man Pun. UWFormer: Underwater Image Enhancement via a Semi-Supervised Multi-Scale Transformer[C]:Institute of Electrical and Electronics Engineers Inc., 2024.
Authors:  Weiwen Chen;  Yingtie Lei;  Shenghong Luo;  Ziyang Zhou;  Mingxian Li; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/08/26
Semi-supervised Learning  Underwater Image Enhancement  Vision Transformer  
Contrastive semi-supervised adversarial training method for hyperspectral image classification networks 面向高光谱图像分类网络的对比半监督对抗训练方法 Journal article
Cheng, Shi, Ying, Liu, Minghua, Zhao, Qiguang, Miao, Chi-Man, Pun. Contrastive semi-supervised adversarial training method for hyperspectral image classification networks 面向高光谱图像分类网络的对比半监督对抗训练方法[J]. Journal of Image and Graphics, 2024, 29(7), 1861-1874.
Authors:  Cheng, Shi;  Ying, Liu;  Minghua, Zhao;  Qiguang, Miao;  Chi-Man, Pun
Favorite | TC[Scopus]:0 | Submit date：2024/09/03
Adversarial Attack  Adversarial Defense  Deep Neural Network  Hyperspectral Image Classification  Semi-supervised Learning  
Boosting Video Object Segmentation via Robust and Efficient Memory Network Journal article
Chen, Yadang, Zhang, Dingwei, Zheng, Yuhui, Yang, Zhi Xin, Wu, Enhua, Zhao, Haixing. Boosting Video Object Segmentation via Robust and Efficient Memory Network[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(5), 3340-3352.
Authors:  Chen, Yadang;  Zhang, Dingwei;  Zheng, Yuhui;  Yang, Zhi Xin;  Wu, Enhua; et al.
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:8.3/7.1 | Submit date：2024/02/22
Object Segmentation  Robustness  Redundancy  Semi-supervised Learning  
A Transformer-based Adaptive Prototype Matching Network for Few-Shot Semantic Segmentation Conference paper
Chen, Sihan, Chen, Yadang, Zheng, Yuhui, Yang, Zhi Xin, Wu, Enhua. A Transformer-based Adaptive Prototype Matching Network for Few-Shot Semantic Segmentation[C]:International Joint Conferences on Artificial Intelligence, 2024, 659-667.
Authors:  Chen, Sihan;  Chen, Yadang;  Zheng, Yuhui;  Yang, Zhi Xin;  Wu, Enhua
Favorite | TC[Scopus]:0 | Submit date：2024/10/10
Computer Vision  Segmentation  Representation Learning  Scene Analysis And understAnding  Transfer, Low-shot, Semi- And Un- Supervised Learning  
Semi-supervised transfer learning with hierarchical self-regularization Journal article
Li, Xingjian, Abuduweili, Abulikemu, Shi, Humphrey, Yang, Pengkun, Dou, Dejing, Xiong, Haoyi, Xu, Chengzhong. Semi-supervised transfer learning with hierarchical self-regularization[J]. Pattern Recognition, 2023, 144, 109831.
Authors:  Li, Xingjian;  Abuduweili, Abulikemu;  Shi, Humphrey;  Yang, Pengkun;  Dou, Dejing; et al.
Favorite | TC[WOS]:5 TC[Scopus]:8  IF:7.5/7.6 | Submit date：2023/09/21
Adaptive Sample Selection  Deep Learning  Fine-tuning  Hierarchical Consistency  Semi-supervised Learning  Transfer Learning  
Coarse-Refined Consistency Learning Using Pixel-Level Features for Semi-Supervised Medical Image Segmentation Journal article
Du,Jie, Zhang,Xiaoci, Liu,Peng, Wang,Tianfu. Coarse-Refined Consistency Learning Using Pixel-Level Features for Semi-Supervised Medical Image Segmentation[J]. IEEE Journal of Biomedical and Health Informatics, 2023, 27(8), 3970-3981.
Authors:  Du,Jie;  Zhang,Xiaoci;  Liu,Peng;  Wang,Tianfu
Favorite | TC[WOS]:0 TC[Scopus]:2  IF:6.7/7.1 | Submit date：2023/08/03
Semi-supervised Medical Image Segmentation  Coarse-refined Consistency Learning  Pixel-level Features  Ranked Loss Function