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检索条件"机构=Key Laboratory of Intelligent Information Institute of Computing Technology"
8693 条 记 录,以下是21-30 订阅
排序:
SDGNN: Symmetry-Preserving Dual-Stream Graph Neural Networks
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IEEE/CAA Journal of Automatica Sinica 2024年 第7期11卷 1717-1719页
作者: Jiufang Chen Ye Yuan Xin Luo the College of Computer Science and Technology Chongqing University of Posts and TelecommunicationsChongqing 400065 the Chongqing Key Laboratory of Big Data and Intelligent Computing Chongqing Institute of Green and Intelligent TechnologyChinese Academy of SciencesChongqing 400714China the College of Computer and Information Science Southwest UniversityChongqing 400715China IEEE
Dear Editor,This letter proposes a symmetry-preserving dual-stream graph neural network(SDGNN) for precise representation learning to an undirected weighted graph(UWG). Although existing graph neural networks(GNNs) ar... 详细信息
来源: 评论
A hybrid attention model based on first-order statistical features for smoke recognition
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Science China(Technological Sciences) 2024年 第3期67卷 809-822页
作者: GUO Nan LIU JiaHui DI KeXin GU Ke QIAO JunFei Beijing Laboratory of Smart Environmental Protection Beijing Key Laboratory of Computational Intelligence and Intelligent SystemBeijing Artificial Intelligence InstituteBeijing 100124China Faculty of Information Technology Beijing University of TechnologyBeijing 100124China
Smoke and fire recognition are of great importance on foreseeing fire disasters and preventing environmental pollution by monitoring the burning process of objects(e.g., straw, fuels). However, since fire images suffe... 详细信息
来源: 评论
Research on Regional Collaborative Prediction of Air Quality Based on LSTM-FC  7
Research on Regional Collaborative Prediction of Air Quality...
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7th International Conference on Computer information Science and Application technology, CISAT 2024
作者: Xu, Guoqing Zhang, Heng Yu, Lu Zhao, Meng Lei, Chaowen Huang, Yuxuan Shanghai Aerospace Electronic Technology Institute Key Laboratory of Intelligent Computing Technology Shanghai China
At present, the air quality problem has attracted the attention of all walks of life. Exploring the changing trends of air pollution and building a reasonable prediction model for predicting changes in air pollutants ... 详细信息
来源: 评论
Positioning Error Compensation via Channel Knowledge Map for UAV Communication
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IEEE Internet of Things Journal 2025年 第11期12卷 16977-16989页
作者: Zhang, Chiya Wang, Ting He, Chunlong Harbin Institute of Technology School of Electronic and Information Engineering Shenzhen518055 China Shenzhen University Guangdong Key Laboratory of Intelligent Information Processing Shenzhen518060 China
When Unmanned Aerial Vehicles (UAVs) perform high-precision communication tasks, such as searching for users and providing emergency coverage, positioning errors between base stations and users make it challenging to ... 详细信息
来源: 评论
Metro Flow Prediction with Hierarchical Hypergraph Attention Networks
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2024年 第6期5卷 3012-3021页
作者: Wang, Jingcheng Zhang, Yong Hu, Yongli Yin, Baocai Beijing University of Technology Beijing Key Laboratory of Multimedia and Intelligent Software Technology Beijing Institute of Artificial Intelligence Faculty of Information Technology Beijing100124 China
Graph convolutional neural networks, which aim to learn the spatial correlation within multivariate time-series data, have achieved significant advancements in traffic prediction. Despite the proliferation of various ... 详细信息
来源: 评论
PFedKD: Personalized Federated Learning via Knowledge Distillation using Unlabeled Pseudo Data for Internet of Things
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IEEE Internet of Things Journal 2025年 第11期12卷 16314-16324页
作者: Li, Hanxi Chen, Guorong Wang, Bin Chen, Zheng Zhu, Yongsheng Hu, Fuqiang Dai, Jiao Wang, Wei Beijing Jiaotong University Beijing Key Laboratory of Security and Privacy in Intelligent Transportation 3 Shangyuancun Beijing China China Railway Information Technology Group Corporation Limited Institute of Computing Technologies Beijing10081 China
With the rapid advancement of wearable devices and IoT technologies, sensor data generated by edge devices has surged. This data is crucial for advancing IoT applications, including health status monitoring, abnormal ... 详细信息
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From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos
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IEEE Transactions on Affective computing 2024年 第2期16卷 624-638页
作者: Chen, Yin Li, Jia Shan, Shiguang Wang, Meng Hong, Richang Hefei University of Technology School of Computer Science and Information Engineering Hefei230601 China Institute of Computing Technology Chinese Academy of Sciences Key Laboratory of Intelligent Information Processing Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China
Dynamic facial expression recognition (DFER) in the wild is still hindered by data limitations, e.g., insufficient quantity and diversity of pose, occlusion and illumination, as well as the inherent ambiguity of facia... 详细信息
来源: 评论
Secure Computation Efficiency Resource Allocation for Massive MIMO-Enabled Mobile Edge computing Networks
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China Communications 2024年 第11期21卷 150-162页
作者: Sun Gangcan Sun Jiwei Hao Wanming Zhu Zhengyu Ji Xiang Zhou Yiqing School of Electrical and Information Engineering Zhengzhou UniversityZhengzhou 450001China Beijing Key Laboratory of Mobile Computing and Pervasive Device and the Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China
In this article,the secure computation efficiency(SCE)problem is studied in a massive multipleinput multiple-output(mMIMO)-assisted mobile edge computing(MEC)*** first derive the secure transmission rate based on the ... 详细信息
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A Hierarchical Control Scheme for Active Power-assist Lower-limb Exoskeletons
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Journal of Bionic Engineering 2024年 第5期21卷 2184-2198页
作者: Jing Deng Wenzheng Jiang Haibo Gao Yapeng Shi Mantian Li State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin150001HeilongjiangChina Shenzhen Academy of Aerospace Technology Shenzhen518063China Faculty of Computing Harbin Institute of TechnologyHarbin150001HeilongjiangChina Institute of Intelligent Manufacturing Technology Shenzhen Polytechnic UniversityShenzhen518055China
Effectively controlling active power-assist lower-limb exoskeletons in a human-in-the-loop manner poses a substantial chal-lenge,demanding an approach that ensures wearer autonomy while seamlessly adapting to diverse ... 详细信息
来源: 评论
Prototype Enhancement-Based Incremental Evolution Learning for Urban Garbage Classification
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2024年 第1期5卷 398-411页
作者: Han, Honggui Fan, Xiaoye Li, Fangyu Beijing University of Technology Faculty of Information Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing Institute of Artificial Intelligence Beijing100124 China
Deep neural network (DNN) based on incremental learning provides support for efficient garbage classification tasks. However, it is always challenging to accurately learn and preserve the information of known classes ... 详细信息
来源: 评论