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GENERALIZED UNCERTAINTY-BASED EVIDENTIAL FUSION WITH HYBRID MULTI-HEAD ATTENTION FOR WEAK-SUPERVISED TEMPORAL ACTION LOCALIZATION Conference paper
He, Yuanpeng, Li, Lijian, Zhan, Tianxiang, Jiao, Wenpin, Pun, Chi Man. GENERALIZED UNCERTAINTY-BASED EVIDENTIAL FUSION WITH HYBRID MULTI-HEAD ATTENTION FOR WEAK-SUPERVISED TEMPORAL ACTION LOCALIZATION[C]:IEEE, 2024, 3855-3859.
Authors:  He, Yuanpeng;  Li, Lijian;  Zhan, Tianxiang;  Jiao, Wenpin;  Pun, Chi Man
Favorite | TC[Scopus]:0 | Submit date：2024/08/05
Generalized Uncertainty-based Evidential Fusion  Hybrid Multi-head Attention  Weakly-supervised Temporal Action Localization  
Pairwise constraints-based semi-supervised fuzzy clustering with multi-manifold regularization Journal article
Wang,Yingxu, Chen,Long, Zhou,Jin, Li,Tianjun, Yu,Yufeng. Pairwise constraints-based semi-supervised fuzzy clustering with multi-manifold regularization[J]. Information Sciences, 2023, 638, 118994.
Authors:  Wang,Yingxu;  Chen,Long;  Zhou,Jin;  Li,Tianjun;  Yu,Yufeng
Favorite | TC[WOS]:15 TC[Scopus]:17  IF:0/0 | Submit date：2023/08/03
Ensemble P-laplacian  Multi-manifold Regularization  Pairwise Constraints  Semi-supervised Fuzzy Clustering  
TriView-ParNet: parallel network for hybrid recognition of touching printed and handwritten strings based on feature fusion and three-view co-training Journal article
Qiu, Junhao, Lai, Shangyu, Huang, Guoheng, Zhang, Weiwen, Mai, Junhui, Pun, Chi Man, Ling, Wing Kuen. TriView-ParNet: parallel network for hybrid recognition of touching printed and handwritten strings based on feature fusion and three-view co-training[J]. APPLIED INTELLIGENCE, 2022, 53(13), 17015–17034.
Authors:  Qiu, Junhao;  Lai, Shangyu;  Huang, Guoheng;  Zhang, Weiwen;  Mai, Junhui; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:3.4/3.9 | Submit date：2023/01/30
Strings Recognition  Mdsr Recognition  Feature Fusion  Multi-view Training  Semi-supervised Learning  
Incentivizing Semisupervised Vehicular Federated Learning: A Multidimensional Contract Approach With Bounded Rationality Journal article
Ye Dongdong, Huang Xumin, Wu Yuan, Yu Rong. Incentivizing Semisupervised Vehicular Federated Learning: A Multidimensional Contract Approach With Bounded Rationality[J]. IEEE Internet of Things Journal, 2022, 9(19), 18573-18588.
Authors:  Ye Dongdong;  Huang Xumin;  Wu Yuan;  Yu Rong
Favorite | TC[WOS]:10 TC[Scopus]:16  IF:8.2/9.0 | Submit date：2022/05/17
Collaborative Work  Contracts  Convergence  Costs  Data Models  Multi-dimensional Contract Theory  Prospect Theory.  Semi-supervised Federated Learning  Servers  Training  Vehicular Edge Computing  
LMSVCR: novel effective method of semi-supervised multi-classification Journal article
Dong, Zijie, Qin, Yimo, Zou, Bin, Xu, Jie, Tang, Yuan Yan. LMSVCR: novel effective method of semi-supervised multi-classification[J]. Neural Computing and Applications, 2022, 34(5), 3857-3873.
Authors:  Dong, Zijie;  Qin, Yimo;  Zou, Bin;  Xu, Jie;  Tang, Yuan Yan
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:4.5/4.7 | Submit date：2022/03/28
Laplacian Svm  Learning Rate  Multi-classification  Semi-supervised Learning  Support Vector Classification-regression  
Semi-supervised multi-Layer convolution kernel learning in credit evaluation Journal article
Xu, Lixiang, Cui, Lixin, Weise, Thomas, Li, Xinlu, Wu, Zhize, Nie, Feiping, Chen, Enhong, Tang, Yuanyan. Semi-supervised multi-Layer convolution kernel learning in credit evaluation[J]. PATTERN RECOGNITION, 2021, 120, 108125.
Authors:  Xu, Lixiang;  Cui, Lixin;  Weise, Thomas;  Li, Xinlu;  Wu, Zhize; et al.
Favorite | TC[WOS]:12 TC[Scopus]:14  IF:7.5/7.6 | Submit date：2021/12/09
Convolution Kernel Function  Multi-layer Kernel  Random Sampling  Semi-supervised Learning  Svm  
Multi-supervised encoder-decoder for image forgery localization Journal article
Yu, Chunfang, Zhou, Jizhe, Li, Qin. Multi-supervised encoder-decoder for image forgery localization[J]. Electronics (Switzerland), 2021, 10(18), 2255.
Authors:  Yu, Chunfang;  Zhou, Jizhe;  Li, Qin
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:2.6/2.6 | Submit date：2021/12/08
Atrous Convolution  Image Forgery Localization  Multi-supervised  Upsampling  
AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem? Journal article
Ma, Jun, Zhang, Yao, Gu, Song, Zhu, Cheng, Ge, Cheng, Zhang, Yichi, An, Xingle, Wang, Congcong, Wang, Qiyuan, Liu, Xin, Cao, Shucheng, Zhang, Qi, Liu, Shangqing, Wang, Yunpeng, Li, Yuhui, He, Jian, Yang, Xiaoping. AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem?[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, 44(10), 6695-6714.
Authors:  Ma, Jun;  Zhang, Yao;  Gu, Song;  Zhu, Cheng;  Ge, Cheng; et al.
Favorite | TC[WOS]:155 TC[Scopus]:181  IF:20.8/22.2 | Submit date：2022/05/13
Multi-organ Segmentation  Generalization  Semi-supervised Learning  Weakly Supervised Learning  Continual Learning  Benchmark Testing  Liver  Image Segmentation  Biological Systems  Pancreas  Computed Tomography  Kidney  
Supervised Extreme Learning Machine-Based Auto-Encoder for Discriminative Feature Learning Journal article
Du,Jie, Vong,Chi Man, Chen,Chuangquan, Liu,Peng, Liu,Zhenbao. Supervised Extreme Learning Machine-Based Auto-Encoder for Discriminative Feature Learning[J]. IEEE Access, 2020, 8, 11700-11709.
Authors:  Du,Jie;  Vong,Chi Man;  Chen,Chuangquan;  Liu,Peng;  Liu,Zhenbao
Favorite | TC[WOS]:8 TC[Scopus]:9  IF:3.4/3.7 | Submit date：2021/03/11
Extreme Learning Machine  Elm Based Auto-encoder  Supervised Elm-ae  Discriminative Data Representation  Multi-layer Perceptron  
Supervised Extreme Learning Machine-Based Auto-Encoder for Discriminative Feature Learning Journal article
Du, J., Vong, C. M., Chen, C.Q., Liu, P., Liu, Z.B.. Supervised Extreme Learning Machine-Based Auto-Encoder for Discriminative Feature Learning[J]. IEEE Access (SCI-E), 2019, 11700-11709.
Authors:  Du, J.;  Vong, C. M.;  Chen, C.Q.;  Liu, P.;  Liu, Z.B.
Favorite |   IF:3.4/3.7 | Submit date：2022/08/09
Extreme Learning Machine  Elm Based Auto-encoder  Supervised Elm-ae  Discriminative Data Representation  Multi-layer Perceptron