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Data Mining in Credit Card Approval: Feature Importance Testing Comparison Conference paper
Ye, Qingyu, Fong, Simon, Yu, Jiahui, Tallón-Ballesteros, Antonio J.. Data Mining in Credit Card Approval: Feature Importance Testing Comparison[C], 2025, 543-554.
Authors:  Ye, Qingyu;  Fong, Simon;  Yu, Jiahui;  Tallón-Ballesteros, Antonio J.
Favorite | TC[Scopus]:0 | Submit date：2025/01/22
Classification Methods  Credit Card Approval  Data Mining  Feature Importance  Financial Risk Analysis  
Neighbor Distribution Learning for Minority Class Augmentation Journal article
Zhou, Mengting, Gong, Zhiguo. Neighbor Distribution Learning for Minority Class Augmentation[J]. IEEE Transactions on Knowledge and Data Engineering, 2024, 36(12), 8901-8913.
Authors:  Zhou, Mengting;  Gong, Zhiguo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.9/8.8 | Submit date：2024/09/03
Class-imbalanced Learning  Data Mining  Node Classification  
Subspace time series clustering of meteocean data to support ocean and coastal hydrodynamic modeling Journal article
Tan, Weikai, Stocchino, Alessandro, Cai, Zhongya. Subspace time series clustering of meteocean data to support ocean and coastal hydrodynamic modeling[J]. Ocean Engineering, 2024, 313(1), 119417.
Authors:  Tan, Weikai;  Stocchino, Alessandro;  Cai, Zhongya
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.6/4.8 | Submit date：2024/11/05
Data Mining  Meteocean Scenarios  Coastal Numerical Modeling  Reanalysis Database  
Research on Social Network Data Analysis and Criminal Network Identification in Criminal Law Journal article
Yang, Zhaoyu. Research on Social Network Data Analysis and Criminal Network Identification in Criminal Law[J]. Applied Mathematics and Nonlinear Sciences, 2024, 9(1), 20243003.
Authors:  Yang, Zhaoyu
Favorite | TC[Scopus]:0 | Submit date：2024/12/05
Complex Networks  Crime Identification  Data Mining  Social Networks  
TriMLP: A Foundational MLP-Like Architecture for Sequential Recommendation Journal article
Jiang, Yiheng, Xu, Yuanbo, Yang, Yongjian, Yang, Funing, Wang, Pengyang, Li, Chaozhuo, Zhuang, Fuzhen, Xiong, Hui. TriMLP: A Foundational MLP-Like Architecture for Sequential Recommendation[J]. ACM Transactions on Information Systems, 2024, 42(6), 157.
Authors:  Jiang, Yiheng;  Xu, Yuanbo;  Yang, Yongjian;  Yang, Funing;  Wang, Pengyang; et al.
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:5.4/6.0 | Submit date：2024/12/05
Sequential Recommendation  Data Mining  Multi-layer Perceptron  
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]:2 TC[Scopus]:3  IF:10.2/10.4 | Submit date：2024/11/05
Data Mining  Graph Convolutional Neural Networks  Graph-based Semi-supervised Learning (Gssl)  
Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks Conference paper
Duan, Wenying, Fang, Tianxiang, Rao, Hong, He, Xiaoxi. Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks[C], New York, NY, USA:Association for Computing Machinery, 2024, 701-712.
Authors:  Duan, Wenying;  Fang, Tianxiang;  Rao, Hong;  He, Xiaoxi
Favorite | TC[Scopus]:0 | Submit date：2024/09/11
Lottery Ticket Hypothesis  Spatial-temporal Data Mining  Spatial-temporal Graph Neural Network  
Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows Conference paper
XUANMING HU, WEI FAN, HAIFENG CHEN, PENGYANG WANG, YANJIE FU. Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows[C]:International Joint Conferences on Artificial Intelligence, 2024, 2063-2071.
Authors:  XUANMING HU;  WEI FAN;  HAIFENG CHEN;  PENGYANG WANG;  YANJIE FU
Favorite | TC[Scopus]:0 | Submit date：2024/08/28
Data Mining  
Decoupled Invariant Attention Network for Multivariate Time-series Forecasting Conference paper
HAIHUA XU, WEI FAN, KUN YI, PENGYANG WANG. Decoupled Invariant Attention Network for Multivariate Time-series Forecasting[C]:International Joint Conferences on Artificial Intelligence, 2024, 2487-2495.
Authors:  HAIHUA XU;  WEI FAN;  KUN YI;  PENGYANG WANG
Favorite | TC[Scopus]:0 | Submit date：2024/08/28
Data Mining  
DyGKT: Dynamic Graph Learning for Knowledge Tracing Conference paper
KE CHENG, LINZHI PENG, PENGYANG WANG, JUNCHEN YE, LEILEI SUN, BOWEN DU. DyGKT: Dynamic Graph Learning for Knowledge Tracing[C], New York, NY, USA:Association for Computing Machinery, 2024, 409-420.
Authors:  KE CHENG;  LINZHI PENG;  PENGYANG WANG;  JUNCHEN YE;  LEILEI SUN; et al.
Favorite | TC[Scopus]:1 | Submit date：2024/08/28
Dynamic Graph  Educational Data Mining  Graph Neural Networks  Knowledge Tracing