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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:21/0  |  Submit date:2022/04/29
Online e-commerce platforms  fraud detection system  graph neural networks  
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.
Favorite  |  View/Download:13/0  |  Submit date:2022/04/29
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  
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:9/0  |  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
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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
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Nonlinear dispersive equation  Initial-boundary value conditions  Physics-informed neural networks  Deep learning  Data-driven peakon and periodic peakon  solutions Data-driven parameter discovery  
OnsagerNet: Learning stable and interpretable dynamics using a generalized Onsager principle 期刊论文
PHYSICAL REVIEW FLUIDS, 2021, 卷号: 6, 期号: 11, 页码: 32
Authors:  Yu, Haijun;  Tian, Xinyuan;  Weinan, E.;  Li, Qianxiao
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A Minibatch Proximal Stochastic Recursive Gradient Algorithm Using a Trust-Region-Like Scheme and Barzilai-Borwein Stepsizes 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4627-4638
Authors:  Yu, Tengteng;  Liu, Xin-Wei;  Dai, Yu-Hong;  Sun, Jie
Favorite  |  View/Download:7/0  |  Submit date:2022/04/02
Convergence  Convex functions  Risk management  Gradient methods  Learning systems  Sun  Barzilai-Borwein (BB) method  empirical risk minimization (ERM)  proximal method  stochastic gradient  trust-region  
Deep learning neural networks for the third-order nonlinear Schrodinger equation: bright solitons, breathers, and rogue waves 期刊论文
COMMUNICATIONS IN THEORETICAL PHYSICS, 2021, 卷号: 73, 期号: 10, 页码: 9
Authors:  Zhou, Zijian;  Yan, Zhenya
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third-order nonlinear Schrodinger equation  deep learning  data-driven solitons  data-driven parameter discovery  
Deep learning neural networks for the third-order nonlinear Schr?dinger equation: bright solitons, breathers, and rogue waves 期刊论文
Communications in Theoretical Physics, 2021, 卷号: 73, 期号: 10
Authors:  Zhou,Zijian;  Yan,Zhenya
Favorite  |  View/Download:10/0  |  Submit date:2022/04/02
third-order nonlinear Schr?dinger equation  deep learning  data-driven solitons  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:24/0  |  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