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eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks 期刊论文
ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2022, 卷号: 40, 期号: 3, 页码: 29
Authors:  Zhang, Ge;  Li, Zhao;  Huang, Jiaming;  Wu, Jia;  Zhou, Chuan;  Yang, Jian;  Gao, Jianliang
Favorite  |  View/Download:59/0  |  Submit date:2022/04/29
Online e-commerce platforms  fraud detection system  graph neural networks  
Ensemble wavelet-learning approach for predicting the effective mechanical properties of concrete composite materials 期刊论文
COMPUTATIONAL MECHANICS, 2022, 页码: 31
Authors:  Linghu, Jiale;  Dong, Hao;  Cui, Junzhi
Favorite  |  View/Download:14/0  |  Submit date:2022/06/21
Concrete composite materials  Weibull distribution  Equivalent mechanical parameters  Artificial neural networks  Wavelet transform  
Model-Free Reinforcement Learning by Embedding an Auxiliary System for Optimal Control of Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 4, 页码: 1520-1534
Authors:  Xu, Zhenhui;  Shen, Tielong;  Cheng, Daizhan
Favorite  |  View/Download:9/0  |  Submit date:2022/06/21
Mathematical model  Trajectory  Heuristic algorithms  Optimal control  System dynamics  Artificial neural networks  Convergence  Approximate optimal control design  auxiliary trajectory  completely model-free  integral reinforcement learning (IRL)  
A Comprehensive Survey on Community Detection With Deep Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 21
Authors:  Su, Xing;  Xue, Shan;  Liu, Fanzhen;  Wu, Jia;  Yang, Jian;  Zhou, Chuan;  Hu, Wenbin;  Paris, Cecile;  Nepal, Surya;  Jin, Di;  Sheng, Quan Z.;  Yu, Philip S.
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Deep learning  Taxonomy  Optimization  Partitioning algorithms  Clustering algorithms  Social networking (online)  Peer-to-peer computing  Community detection  deep learning  graph neural network  network representation  social networks  
Approximation capabilities of measure-preserving neural networks 期刊论文
NEURAL NETWORKS, 2022, 卷号: 147, 页码: 72-80
Authors:  Zhu, Aiqing;  Jin, Pengzhan;  Tang, Yifa
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Measure-preserving  Neural networks  Dynamical systems  Approximation theory  
p A Mixed Wavelet-Learning Method of Predicting Macroscopic Effective Heat Transfer Conductivities of Braided Composite Materials 期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2022, 卷号: 31, 期号: 2, 页码: 593-625
Authors:  Dong, Hao;  Kou, Wenbo;  Han, Junyan;  Linghu, Jiale;  Zou, Minqiang;  Cui, Junzhi
Favorite  |  View/Download:27/0  |  Submit date:2022/04/02
Braided composite materials  macroscopic effective heat transfer conductivities  multi-scale modeling  neural networks  wavelet transform  
API-GNN: attribute preserving oriented interactive graph neural network 期刊论文
WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2022, 页码: 20
Authors:  Zhou, Yuchen;  Shang, Yanmin;  Cao, Yanan;  Li, Qian;  Zhou, Chuan;  Xu, Guandong
Favorite  |  View/Download:33/0  |  Submit date:2022/04/02
Data mining  Graph neural networks  Social analysis  Representation learning  
Data-driven peakon and periodic peakon solutions and parameter discovery of some nonlinear dispersive equations via deep learning 期刊论文
PHYSICA D-NONLINEAR PHENOMENA, 2021, 卷号: 428, 页码: 15
Authors:  Wang, Li;  Yan, Zhenya
Favorite  |  View/Download:26/0  |  Submit date:2022/04/02
Nonlinear dispersive equation  Initial-boundary value conditions  Physics-informed neural networks  Deep learning  Data-driven peakon and periodic peakon  solutions Data-driven parameter discovery  
One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2921-2935
Authors:  Zhang, Miao;  Li, Huiqi;  Pan, Shirui;  Chang, Xiaojun;  Zhou, Chuan;  Ge, Zongyuan;  Su, Steven
Favorite  |  View/Download:54/0  |  Submit date:2021/10/26
Computer architecture  Training  Optimization  Neural networks  Search methods  Australia  Germanium  AutoML  neural architecture search  continual learning  catastrophic forgetting  novelty search  
Data-driven rogue waves and parameter discovery in the defocusing nonlinear Schrodinger equation with a potential using the PINN deep learning 期刊论文
PHYSICS LETTERS A, 2021, 卷号: 404, 页码: 7
Authors:  Wang, Li;  Yan, Zhenya
Favorite  |  View/Download:39/0  |  Submit date:2021/10/26
Defocusing NLS equation with the  time-dependent potential  Initial-boundary value conditions  Physics-informed neural networks  Deep learning  Data-driven rogue waves and parameter discovery