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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：28/11  |  提交时间：2024/07/08
graph neural network  heterogeneous compatibility  social media bot detection  
Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 3, 页码: 1881-1897
作者:  Gao, Jin;  Lu, Yan;  Qi, Xiaojuan;  Kou, Yutong;  Li, Bing;  Li, Liang;  Yu, Shan;  Hu, Weiming
Adobe PDF(915Kb)  |  收藏  |  浏览/下载：49/19  |  提交时间：2024/06/21
Visualization  Training  Adaptation models  Data models  Optimization  Task analysis  Robustness  Online learning  few-shot online adaptation  visual tracking  continual learning  recursive least-squares estimation  
SocialVis: Dynamic Social Visualization in Dense Scenes via Real-time Multi-Object Tracking and Proximity Graph Construction 期刊论文
Computer Animation and Virtual Worlds, 2024, 卷号: 35, 期号: 3, 页码: 1-15
作者:  Li BW(李博文);  Li W(李巍);  Wang JQ(王镜淇);  Meng WL(孟维亮);  Zhang JG(张吉光);  Zhang XP(张晓鹏)
Adobe PDF(2914Kb)  |  收藏  |  浏览/下载：55/10  |  提交时间：2024/06/04
dense pedestrian  detection  multi-object tracking  proximity graph  visualization  
Robotics Dexterous Grasping: The Methods Based on Point Cloud and Deep Learning 期刊论文
Frontiers in Neurorobotics, 2021, 卷号: 15, 页码: 658280
作者:  Duan, Haonan;  Wang, Peng;  Huang, Yayu;  Xu, Guangyun;  Wei, Wei;  Shen, Xiaofei
Adobe PDF(3145Kb)  |  收藏  |  浏览/下载：44/15  |  提交时间：2024/05/29
Robotics  Dexterous grasping  Point Cloud  Deep learning  
Machine Learning in Lung Cancer Radiomics 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 753-782
作者:  Jiaqi Li;  Zhuofeng Li;  Lei Wei;  Xuegong Zhang
Adobe PDF(7595Kb)  |  收藏  |  浏览/下载：64/14  |  提交时间：2024/04/23
Machine learning, lung cancer, radiomics, medical image, clinical application  
Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization 期刊论文
NEURAL NETWORKS, 2024, 卷号: 171, 页码: 186-199
作者:  Li, Jingwei;  Li, Yuan;  Tan, Jie;  Liu, Chengbao
Adobe PDF(2408Kb)  |  收藏  |  浏览/下载：90/11  |  提交时间：2024/03/26
Domain generalization  Semi-supervised learning  Active learning  
Opportunities and challenges for biometrics 专著
Switzerland:Springer, 2020
作者:  Sun, Zhenan;  Li, Qi;  Liu, Yunfan;  Zhu, Yuhao
Adobe PDF(590Kb)  |  收藏  |  浏览/下载：112/43  |  提交时间：2024/02/23
Constrained Maximum Cross-Domain Likelihood for Domain Generalization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Lin, Jianxin;  Tang, Yongqiang;  Wang, Junping;  Zhang, Wensheng
Adobe PDF(2518Kb)  |  收藏  |  浏览/下载：173/10  |  提交时间：2023/11/17
Optimization  Feature extraction  Metalearning  Entropy  Training  Hospitals  Task analysis  Distribution shift  domain adaptation  domain generalization  domain-invariant representation  joint distribution alignment  
GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 7, 页码: 8419-8432
作者:  Lian, Zheng;  Chen, Lan;  Sun, Licai;  Liu, Bin;  Tao, Jianhua
Adobe PDF(3959Kb)  |  收藏  |  浏览/下载：193/10  |  提交时间：2023/11/17
Oral communication  Correlation  Data models  Task analysis  Feature extraction  Tensors  Benchmark testing  Conversational data  graph complete network (GCNet)  incomplete multimodal learning  speaker-sensitive modeling  temporal-sensitive modeling  
Online Progressive Instance-Balanced Sampling for Weakly Supervised Vibration Damper Detection 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 14
作者:  Chen, Minghao;  Tian, Yunong;  Li, Zhishuo;  Li, En;  Liang, Zize
Adobe PDF(4445Kb)  |  收藏  |  浏览/下载：133/20  |  提交时间：2023/11/17
Shock absorbers  Vibrations  Object detection  Proposals  Training  Sampling methods  Convolutional neural networks  Instance balance  multiple instance learning (MIL)  progressive sampling  vibration damper detection  weakly supervised object detection (WSOD)