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CGNN: A Compatibility-aware Graph Neural Network for Social Media Bot Detection 期刊论文
IEEE Transactions on Computational Social System, 2024, 页码: Early Access
作者:  Huang, Haitao;  Tian, Hu;  Zheng, Xiaolong;  Zhang, Xingwei;  Zeng, Dajun;  Wang, Feiyue
Adobe PDF(2267Kb)  |  收藏  |  浏览/下载：18/8  |  提交时间：2024/07/08
graph neural network  heterogeneous compatibility  social media bot detection  
Physics-Inspired Spatial-Temporal Graph Neural Networks for Predicting Industrial Chain Resilience 期刊论文
Journal of Machine Learning Research, 2024, 卷号: 4, 期号: 23, 页码: 1-23
作者:  Wang BC(王必成);  Wang JP(王军平)
Adobe PDF(2342Kb)  |  收藏  |  浏览/下载：65/19  |  提交时间：2024/06/12
The Human Continuity Activity Semisupervised Recognizing Model for Multiview IoT Network 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 11, 页码: 9398-9410
作者:  Yuan, Ruiwen;  Wang, Junping
Adobe PDF(1944Kb)  |  收藏  |  浏览/下载：106/4  |  提交时间：2023/11/17
Feature extraction  Sensors  Human activity recognition  Internet of Things  Data models  Sensor phenomena and characterization  Data mining  Activity feature extraction  deep learning  human activity recognition (HAR)  semisupervised learning  
The Human Continuity Activity Semi-Supervised Recognizing Model for Multi-View IoT Network 期刊论文
IEEE Internet of Things Journal, 2023, 卷号: 17, 期号: 4, 页码: 2031-2046
作者:  Ruiwen Yuan;  Wang JP(王军平)
Adobe PDF(1265Kb)  |  收藏  |  浏览/下载：135/43  |  提交时间：2023/05/05
Unsupervised Anomaly Detection for Surface Defects with Dual-Siamese Network 期刊论文
IEEE Transactions on Industrial Informatics, 2022, 卷号: 1, 期号: 1, 页码: 1-11
作者:  Tao X(陶显);  Da-Peng Zhang;  Ma WZ(马文治);  Hou ZX(侯占新);  Lu ZF(逯正峰);  Chandranath Adak
Adobe PDF(8384Kb)  |  收藏  |  浏览/下载：293/66  |  提交时间：2022/03/03
缺陷检测  
Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation 期刊论文
IEEE Trans. Pattern Anal. Machine Intell., 2019, 卷号: 41, 期号: 5, 页码: 1027-1042
作者:  Jian Liang;  Ran He;  Zhenan Sun;  Tieniu Tan
浏览  |  Adobe PDF(865Kb)  |  收藏  |  浏览/下载：451/149  |  提交时间：2019/06/10
Unsupervised Domain Adaptation  Domain-invariant Projection  Class-clustering  Sampling-and-fusion  
Dynamic Identification of Critical Nodes and Regions in Power Grid Based on Spatio-Temporal Attribute Fusion of Voltage Trajectory 期刊论文
ENERGIES, 2019, 卷号: 12, 期号: 5, 页码: 16
作者:  Bai, Xiwei;  Liu, Daowei;  Tan, Jie;  Yang, Hongying;  Zheng, Hengfeng
浏览  |  Adobe PDF(3091Kb)  |  收藏  |  浏览/下载：386/56  |  提交时间：2019/04/23
critical node  critical region  spatio-temporal attribute fusion  node voltage trajectory