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Point Cloud Compression with Implicit Neural Representations: A Unified Framework Conference paper
Ruan, Hongning, Shao, Yulin, Yang, Qianqian, Zhao, Liang, Niyato, Dusit. Point Cloud Compression with Implicit Neural Representations: A Unified Framework[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 1709-1714.
Authors:  Ruan, Hongning;  Shao, Yulin;  Yang, Qianqian;  Zhao, Liang;  Niyato, Dusit
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/11/05
Point Cloud Compression  Geometry  Learning Systems  Three-dimensional Displays  Quantization (Signal)  Neural Networks  Rate-distortion  Point Cloud Compression  Implicit Neural Representation  Neural Network Compression  
Novel UGA Homologous URL Recognition in Real-World Financial Cybercrimes: Self-supervised Deep Learning of URL Semantics Conference paper
Shao, Guolin, Xu, Zeshui, He, Xiaoxi, Rao, Hong, Huang, Wei, Duan, Wenying. Novel UGA Homologous URL Recognition in Real-World Financial Cybercrimes: Self-supervised Deep Learning of URL Semantics[C]:Springer Science and Business Media Deutschland GmbH, 2024, 300 - 312.
Authors:  Shao, Guolin;  Xu, Zeshui;  He, Xiaoxi;  Rao, Hong;  Huang, Wei; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/09/11
Financial Cybercrime  Homologous Url Recognition  Self-supervised Learning  Siamese Network  Url Representation Learning  
A Deep High-Order Tensor Sparse Representation for Hyperspectral Image Classification Journal article
Cheng, Chunbo, Zhang, Liming, Li, Hong, Cui, Wenjing, Gao, Junbin, Cun, Yuxiao. A Deep High-Order Tensor Sparse Representation for Hyperspectral Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, 5521416.
Authors:  Cheng, Chunbo;  Zhang, Liming;  Li, Hong;  Cui, Wenjing;  Gao, Junbin; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.5/7.6 | Submit date：2024/08/05
Convolutional Neural Network (Cnn)  Deep High-order Tensor Sparse Representation (Sr)  Deep Learning  Graph-based Learning (Gsl)  Hyperspectral Image (Hsi) Classification  
Informative Nodes Mining for Class-Imbalanced Representation Learning Journal article
Zhou, Mengting, Gong, Zhiguo. Informative Nodes Mining for Class-Imbalanced Representation Learning[J]. IEEE Transactions on Computational Social Systems, 2024.
Authors:  Zhou, Mengting;  Gong, Zhiguo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.5/4.6 | Submit date：2024/05/16
Class Imbalanced Learning  Costs  Graph Neural Network (Gnn)  Graph Neural Networks  Node Classification  Representation Learning  Social Networking (Online)  Task Analysis  Training  Training Data  
Collaborative representation induced broad learning model for classification Journal article
Zhang,Qi, Zhou,Jianhang, Xu,Yong, Zhang,Bob. Collaborative representation induced broad learning model for classification[J]. Applied Intelligence, 2023, 53(20), 23442–23456.
Authors:  Zhang,Qi;  Zhou,Jianhang;  Xu,Yong;  Zhang,Bob
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:3.4/3.9 | Submit date：2023/08/03
Broad Learning  Classification  Collaborative Representation  Neural Network  Pattern Recognition  
IRLM: Inductive Representation Learning Model for Personalized POI Recommendation Journal article
Chen, Junyang, Wang, Mengzhu, Zhang, Haodi, Xu, Zhenghua, Li, Xueliang, Gong, Zhiguo, Wu, Kaishun, Leung, Victor C.M.. IRLM: Inductive Representation Learning Model for Personalized POI Recommendation[J]. IEEE Transactions on Computational Social Systems, 2023, 10(5), 2827-2836.
Authors:  Chen, Junyang;  Wang, Mengzhu;  Zhang, Haodi;  Xu, Zhenghua;  Li, Xueliang; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:4.5/4.6 | Submit date：2023/01/30
Inductive Representation Learning  Location-based Social Network (Lsbn)  Poi Recommendation  Smart Cities  Representation Learning  Feature Extraction  Trajectory  Training  Standards  Social Networking (Online)  Smart Cities  
Few-shot object detection via high-and-low resolution representation Journal article
Haolun Li, Senlin Ge, Chuyi Gao, Hao Gao. Few-shot object detection via high-and-low resolution representation[J]. COMPUTERS & ELECTRICAL ENGINEERING, 2022, 104, 108438.
Authors:  Haolun Li;  Senlin Ge;  Chuyi Gao;  Hao Gao
Favorite | TC[WOS]:3 TC[Scopus]:6  IF:4.0/3.8 | Submit date：2023/01/30
Few-shot Learning  Anchor-free Network  High-and-low Resolution Representation Module  Computer Vision  
Fuzzy Graph Subspace Convolutional Network Journal article
Zhou, Jianhang, Zhang, Qi, Zeng, Shaoning, Zhang, Bob. Fuzzy Graph Subspace Convolutional Network[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022, 35(4), 5641-5655.
Authors:  Zhou, Jianhang;  Zhang, Qi;  Zeng, Shaoning;  Zhang, Bob
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:10.2/10.4 | Submit date：2024/05/02
Fuzzy Set Theory  Graph Convolutional Network (Gcn)  Low-rank Representation (Lrr)  Subspace Learning (Sc)  
CRL: Collaborative Representation Learning by Coordinating Topic Modeling and Network Embeddings Journal article
Junyang Chen, Zhiguo Gong, Wei Wang, Weiwen Liu, Xiao Dong. CRL: Collaborative Representation Learning by Coordinating Topic Modeling and Network Embeddings[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(8), 3675-3777.
Authors:  Junyang Chen;  Zhiguo Gong;  Wei Wang;  Weiwen Liu;  Xiao Dong
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:10.2/10.4 | Submit date：2021/03/09
Collaborative Representation Learning (Crl)  Global And Local Contexts  Network Embeddings  Network Representation Learning (Nrl)  Topic Modeling  
HNS: Hierarchical negative sampling for network representation learning Journal article
Junyang Chen, Zhiguo Gong, Wei Wang, Weiwen Liu. HNS: Hierarchical negative sampling for network representation learning[J]. Information Sciences, 2021, 542, 343-356.
Authors:  Junyang Chen;  Zhiguo Gong;  Wei Wang;  Weiwen Liu
Favorite | TC[WOS]:15 TC[Scopus]:17  IF:0/0 | Submit date：2020/12/04
Hierarchical Negative Sampling  Network Embeddings  Network Representation Learning