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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
LOCAL OPTIMIZATION NETWORKS FOR MULTI-VIEW MULTI-PERSON HUMAN POSTURE ESTIMATION
Conference paper
Song, Jucheng, Pun, Chi Man, Li, Haolun, Lan, Rushi, Xie, Jiu Cheng, Gao, Hao. LOCAL OPTIMIZATION NETWORKS FOR MULTI-VIEW MULTI-PERSON HUMAN POSTURE ESTIMATION[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 3995-3999.
Authors:
Song, Jucheng
;
Pun, Chi Man
;
Li, Haolun
;
Lan, Rushi
;
Xie, Jiu Cheng
; et al.
Favorite
|
TC[Scopus]:
1
|
Submit date:2024/07/04
Estimation Error
Three-dimensional Displays
Pose Estimation
Signal Processing
Environmental Factors
Speech Processing
Optimization
Human Pose Estimation
Local Optimization Strategies
Optimal Weights
Constrained Self-Adaptive Physics-Informed Neural Networks with ResNet Block-Enhanced Network Architecture
Journal article
Zhang, Guangtao, Yang, Huiyu, Pan, Guanyu, Duan, Yiting, Zhu, Fang, Chen, Yang. Constrained Self-Adaptive Physics-Informed Neural Networks with ResNet Block-Enhanced Network Architecture[J]. Mathematics, 2023, 11(5), 1109.
Authors:
Zhang, Guangtao
;
Yang, Huiyu
;
Pan, Guanyu
;
Duan, Yiting
;
Zhu, Fang
; et al.
Favorite
|
TC[WOS]:
2
TC[Scopus]:
2
IF:
2.3
/
2.2
|
Submit date:2023/04/03
Physics-informed Neural Networks
Constrained Self-adaptive
Bounded Weights
Resnet Block-enhanced Network
Random Feature based Collaborative Kernel Fuzzy Clustering for Distributed Peer-to-Peer Networks
Journal article
Yingxu Wang, Shiyuan Han, Jin Zhou, Long Chen, C. L. Philip Chen, Tong Zhang, Zhulin Liu, Lin Wang, Yuehui Chen. Random Feature based Collaborative Kernel Fuzzy Clustering for Distributed Peer-to-Peer Networks[J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 31(2), 692 - 706.
Authors:
Yingxu Wang
;
Shiyuan Han
;
Jin Zhou
;
Long Chen
;
C. L. Philip Chen
; et al.
Favorite
|
TC[WOS]:
3
TC[Scopus]:
6
IF:
10.7
/
9.7
|
Submit date:2022/08/05
Collaborative Distributed Clustering
Feature Weights
Kernel Fuzzy Clustering
Random Fourier Feature
Random Fourier feature-based fuzzy clustering with p-Laplacian regularization
Journal article
Wang, Yingxu, Li, Tianjun, Chen, Long, Xu, Guangmei, Zhou, Jin, Chen, C. L.Philip. Random Fourier feature-based fuzzy clustering with p-Laplacian regularization[J]. Applied Soft Computing, 2021, 111, 107724.
Authors:
Wang, Yingxu
;
Li, Tianjun
;
Chen, Long
;
Xu, Guangmei
;
Zhou, Jin
; et al.
Favorite
|
TC[WOS]:
8
TC[Scopus]:
12
IF:
7.2
/
7.0
|
Submit date:2021/12/08
Attribute Weights
Fuzzy Clustering
P-laplacian Regularization
Random Fourier Feature
Weighted truncated nuclear norm regularization for low-rank quaternion matrix completion
Journal article
Yang, Liqiao, Kou, Kit Ian, Miao, Jifei. Weighted truncated nuclear norm regularization for low-rank quaternion matrix completion[J]. Journal of Visual Communication and Image Representation, 2021, 81, 103335.
Authors:
Yang, Liqiao
;
Kou, Kit Ian
;
Miao, Jifei
Favorite
|
TC[WOS]:
13
TC[Scopus]:
13
IF:
2.6
/
2.4
|
Submit date:2021/12/08
Low-rank
Quaternion Matrix Completion
Quaternion Truncated Nuclear Norm
Weights
Differential and difference equations for recurrence coefficients of orthogonal polynomials with hypergeometric weights and Bäcklund transformations of the sixth Painlevé equation
Journal article
Hu,Jie, Filipuk,Galina, Chen,Yang. Differential and difference equations for recurrence coefficients of orthogonal polynomials with hypergeometric weights and Bäcklund transformations of the sixth Painlevé equation[J]. Random Matrices: Theory and Application, 2021, 10(3), 2150029.
Authors:
Hu,Jie
;
Filipuk,Galina
;
Chen,Yang
Favorite
|
TC[WOS]:
2
TC[Scopus]:
2
IF:
0.9
/
0.9
|
Submit date:2021/03/09
Bäcklund Transformations
Discrete Orthogonal Polynomials
Hypergeometric Weights
Painlevé Vi
Multi-view subspace clustering via simultaneously learning the representation tensor and affinity matrix
Journal article
Chen, Yongyong, Xiao, Xiaolin, Zhou, Yicong. Multi-view subspace clustering via simultaneously learning the representation tensor and affinity matrix[J]. Pattern Recognition, 2020, 106, 107441.
Authors:
Chen, Yongyong
;
Xiao, Xiaolin
;
Zhou, Yicong
Favorite
|
TC[WOS]:
104
TC[Scopus]:
117
IF:
7.5
/
7.6
|
Submit date:2021/12/06
Adaptive Weights
Local Manifold
Low-rank Tensor Representation
Multi-view Subspace Clustering
Tensor-singular Value Decomposition
Random Feature Map-Based Multiple Kernel Fuzzy Clustering with All Feature Weights
Journal article
Wang, Yingxu, Dong, Jiwen, Zhou, Jin, Xu, Guangmei, Chen, Yuehui. Random Feature Map-Based Multiple Kernel Fuzzy Clustering with All Feature Weights[J]. International Journal of Fuzzy Systems, 2019, 21(7), 2132-2146.
Authors:
Wang, Yingxu
;
Dong, Jiwen
;
Zhou, Jin
;
Xu, Guangmei
;
Chen, Yuehui
Favorite
|
TC[WOS]:
8
TC[Scopus]:
10
IF:
3.6
/
3.4
|
Submit date:2022/05/17
All Feature Weights
Multiple Kernel Clustering
Random Feature Map
Multi-view Clustering via Simultaneously Learning Graph Regularized Low-Rank Tensor Representation and Affinity Matrix
Conference paper
Chen, Yongyong, Xiao, Xiaolin, Zhou, Yicong. Multi-view Clustering via Simultaneously Learning Graph Regularized Low-Rank Tensor Representation and Affinity Matrix[C], IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE, 2019, 1348-1353.
Authors:
Chen, Yongyong
;
Xiao, Xiaolin
;
Zhou, Yicong
Favorite
|
TC[WOS]:
20
TC[Scopus]:
21
|
Submit date:2022/05/17
Multi-view Clustering
Low-rank Tensor Representation
Tucker Decomposition
Adaptive Weights
Local Manifold