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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：24/9  |  提交时间：2024/07/08
graph neural network  heterogeneous compatibility  social media bot detection  
Extracting Muscle Geometrical Features With a Fabric-Based Wearable Sensor for Human Motion Intent Recognition 期刊论文
IEEE/ASME Transactions on Mechatronics, 2024, 页码: 1-11
作者:  Zheng EH(郑恩昊);  Jiacheng Wan;  Nanxing Hu;  Qining Wang
Adobe PDF(2867Kb)  |  收藏  |  浏览/下载：33/16  |  提交时间：2024/06/25
Sensors  Robot sensing systems  Muscles  Wearable sensors  Shape  Force  Feature extraction  Fabric-based sensors  human motion recognition  muscle features  wearable sensing  
The survey on multi-source data fusion in cyber-physical-social systems: Foundational infrastructure for industrial metaverses and industries 5.0 期刊论文
Information Fusion, 2024, 卷号: 107, 页码: 1-16
作者:  Xiao Wang;  Yutong Wang;  Jing Yang;  Xiaofeng Jia;  Lijun Li;  Weiping Ding;  Fei-Yue Wang
Adobe PDF(4446Kb)  |  收藏  |  浏览/下载：49/8  |  提交时间：2024/06/06
Multi-source data fusion  CPSS  Industrial metaverses  Parallel manufacturing  Social manufacturing  
Tri-relational multi-faceted graph neural networks for automatic question tagging 期刊论文
Neurocomputing, 2024, 卷号: 576, 页码: 127250
作者:  Nuojia Xu;  Jun Hu;  Quan Fang;  Dizhan Xue;  Yongxi Li;  Shengsheng Qian
Adobe PDF(2105Kb)  |  收藏  |  浏览/下载：49/21  |  提交时间：2024/06/04
Graph Neural Networks  Community Question Answering  Question Tagging  
Enhancing ENSO predictions with self-attention ConvLSTM and temporal embeddings 期刊论文
Frontiers in Marine Science, 2024, 卷号: 11, 页码: 1334210
作者:  Rui, Chuang;  Sun, Zhengya;  Zhang, Wensheng;  Liu, Anan;  Wei, Zhiqiang
Adobe PDF(14474Kb)  |  收藏  |  浏览/下载：44/12  |  提交时间：2024/05/28
El Niño-Southern Oscillation (ENSO)  deep learning for ENSO prediction  self-attention ConvLSTM  temporal embeddings  spring prediction barrier  
Graph-guided deep hashing networks for similar patient retrieval 期刊论文
Computers in Biology and Medicine, 2024, 卷号: 169, 页码: 107865
作者:  Gu, Yifan;  Yang, Xuebing;  Sun, Mengxuan;  Wang, Chutong;  Yang, Hongyu;  Yang, Chao;  Wang, Jinwei;  Kong, Guilan;  Lv, Jicheng;  Zhang, Wensheng
Adobe PDF(1325Kb)  |  收藏  |  浏览/下载：48/19  |  提交时间：2024/05/28
Similar patient retrieval  Deep hashing  Graph neural networks  Patient representation learning  Electronic health records  
A Streamlined 3-D Magnetic Particle Imaging System With a Two-Stage Excitation Feed-Through Compensation Strategy 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 1-10
作者:  Yin L(尹琳);  Li W(李玮);  Bian ZW(卞忠伟);  Chen ZW(陈梓威);  Liu YJ(刘晏君);  Zhong J(钟景);  Zhang SX(张水兴);  Du Y(杜洋);  Hui H(惠辉);  Tian J(田捷)
Adobe PDF(3893Kb)  |  收藏  |  浏览/下载：69/33  |  提交时间：2024/03/26
3-D imaging  compensation strategy  magnetic particle imaging (MPI)  
Objformer: Boosting 3D object detection via instance-wise interaction 期刊论文
PATTERN RECOGNITION, 2024, 卷号: 146, 页码: 9
作者:  Tao, Manli;  Zhao, Chaoyang;  Tang, Ming;  Wang, Jinqiao
Adobe PDF(3261Kb)  |  收藏  |  浏览/下载：158/11  |  提交时间：2024/02/22
3D object detection  Point clouds  Incompletion and occlusion  Instance-wise interaction  
GAN-Based Facial Attribute Manipulation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 14590-14610
作者:  Liu, Yunfan;  Li, Qi;  Deng, Qiyao;  Sun, Zhenan;  Yang, Ming-Hsuan
Adobe PDF(15297Kb)  |  收藏  |  浏览/下载：104/28  |  提交时间：2024/02/22
Generative adversarial networks  image translation  facial attribute manipulation  
Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 9, 页码: 9154-9167
作者:  Zhang, Jinghao;  Zhu, Yanqiao;  Liu, Qiang;  Zhang, Mengqi;  Wu, Shu;  Wang, Liang
Adobe PDF(1134Kb)  |  收藏  |  浏览/下载：168/14  |  提交时间：2023/11/17
Multimedia recommendation  graph structure learning  contrastive learning