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检索条件"机构=Data Engineering and Knowledge Engineering Key Laboratory"
10804 条 记 录,以下是4831-4840 订阅
排序:
Cooperative Multi-source data Trading
Cooperative Multi-source Data Trading
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IEEE Conference on Global Communications (GLOBECOM)
作者: Jin Cheng Ningning Ding John C. S. Lui Jianwei Huang School of Science and Engineering Shenzhen Institute of Artificial Intelligence and Robotics for Society The Chinese University of Hong Kong Shenzhen Data Science and Analytics Thrust Information Hub Hong Kong University of Science and Technology Guangzhou Department of Computer Science and Engineering The Chinese University of Hong Kong School of Science and Engineering Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen Key Laboratory of Crowd Intelligence Empowered Low-Carbon Energy Network and CSIJRI Joint Research Centre on Smart Energy Storage The Chinese University of Hong Kong Shenzhen
In the era of big data, data trading significantly enhances data-driven technologies by facilitating data sharing. Despite the clear advantages often experienced by data users when incorporating multiple sources, the ... 详细信息
来源: 评论
Disentangling Interest and Conformity Representation to Mitigate Popularity Bias for Sequential Recommendation
Disentangling Interest and Conformity Representation to Miti...
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International Joint Conference on Neural Networks (IJCNN)
作者: Wenyue Hu Zhenyu Yang Yan Huang Zhibo Zhang Baojie Xu Key Laboratory of Computing Power Network and Information Security Ministry of EducationShandong Computer Science Center (National Supercomputer Center in Jinan) Qilu University of Technology (Shandong Academy of Sciences) Jinan China Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Qilu University of Technology (Shandong Academy of Sciences) Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China
The objective of sequential recommendation is to predict user preferences for items based on historical interaction sequences. This process often leads to a phenomenon known as popularity bias, where popular items are... 详细信息
来源: 评论
Co-design of Dual-side Event-Triggered Dynamic Output Feedback for Cyber-Physical Systems
Co-design of Dual-side Event-Triggered Dynamic Output Feedba...
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Chinese Automation Congress (CAC)
作者: Yiyue Zhang Yingying Ren Cuijuan An Da-Wei Ding School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China Key Laboratory of Knowledge Automation for Industrial Processes Ministry of Education Beijing China Shunde Graduate School University of Science and Technology Beijing China
We investigate the issue of a co-design event-based scheme and dynamic output controller for the H ∞ -stabilization of cyber-physical systems with network delays and packet loss. In particular, we are interested in t... 详细信息
来源: 评论
Predicting Response to Patients with Gastric Cancer Via a Dynamic-Aware Model with Longitudinal Liquid Biopsy data
SSRN
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SSRN 2024年
作者: Chen, Zifan Zhao, Jie Li, Yanyan Li, Yilin Liu, Huimin Feng, Xujiao Nan, Xinyu Dong, Bin Shen, Lin Chen, Yang Zhang, Li Center for Data Science Peking University Beijing China Department of Gastrointestinal Oncology Key Laboratory of Carcinogenesis and Translational Research Ministry of Education Peking University Cancer Hospital and Institute Beijing China National Engineering Laboratory for Big Data Analysis and Applications Peking University Beijing China Guangzhou Medical University Guangzhou China Peking University Beijing China Center for Machine Learning Research Peking University Beijing China Peking University Changsha Institute for Computing and Digital Economy Changsha China
Gastric cancer (GC) presents challenges in predicting treatment responses due to its patient-specific heterogeneity. Recently, liquid biopsies have become recognized as a valuable data modality, offering essential cel... 详细信息
来源: 评论
pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving
arXiv
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arXiv 2024年
作者: Kou, Wei-Bin Lin, Qingfeng Tang, Ming Xu, Sheng Ye, Rongguang Leng, Yang Wang, Shuai Li, Guofa Chen, Zhenyu Zhu, Guangxu Wu, Yik-Chung Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong Shenzhen Research Institute of Big Data Shenzhen China Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China Research Institute of Electronic Science and Technology University of Electronic Science and technology Chengdu China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China College of Mechanical and Vehicle Engineering Chongqing University Chongqing China
Deep learning-based Autonomous Driving (AD) semantic segmentation (SSeg) models often exhibit poor generalization due to data heterogeneity in an ever domain-shifting environment. While Federated Learning (FL) could i... 详细信息
来源: 评论
MA3D: A Multi-Attention-based Complex 3D Object Detection from Point Cloud data
Journal of Network Intelligence
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Journal of Network Intelligence 2022年 第3期7卷 719-733页
作者: Liao, Lyuchao Feng, Zhicheng Huang, Dejuan Zhu, Yintian Lin, Jinmei Luo, Linsen Fujian Provincial Universities Key Laboratory of Industrial Control and Data Analysis Fujian Provincial Universities Engineering Research Center for Intelligent Driving Technology Fujian University of Technology Fuzhou350118 China Fujian Provincial Universities Engineering Research Center for Intelligent Driving Technology Fujian University of Technology Fuzhou350118 China
3D object detection is a core component of autonomous driving technology. As a basic format of 3D data, the point cloud can provide detailed geometric information of objects in original 3D space. PointNet algorithm pi... 详细信息
来源: 评论
Robust and Fast Measure of Information via Low-rank Representation
arXiv
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arXiv 2022年
作者: Dong, Yuxin Gong, Tieliang Yu, Shujian Chen, Hong Li, Chen School of Computer Science and Technology Xi’an Jiaotong University Xi’an710049 China Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering Ministry of Education Xi’an710049 China Machine Learning Group UiT - The Arctic University of Norway Norway College of Science Huazhong Agriculture University Wuhan430070 China Engineering Research Center of Intelligent Technology for Agriculture Ministry of Education Wuhan430070 China
The matrix-based Rényi’s entropy allows us to directly quantify information measures from given data, without explicit estimation of the underlying probability distribution. This intriguing property makes it wid... 详细信息
来源: 评论
Research on Optimization of Production Planning Scheme of China's New Energy Vehicles
SSRN
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SSRN 2022年
作者: Luo, Lina Li, Chengjiang Wang, Honglei Hu, Yujie Wang, Xiaolin School of Management Guizhou University Guiyang China Key Laboratory of "Internet +" Collaborative Intelligent Manufacturing in Guizhou Province China State Key Laboratory of Public Big Data Guizhou University Guizhou Guiyang550025 China School of Engineering University of Tasmania HobartTAS7005 Australia
To help enterprises control the carbon emissions of vehicles in the production process and obtain better profits, we proposes a fuzzy multi-objective optimization model, which considers the maximization of enterprise ... 详细信息
来源: 评论
LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices
arXiv
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arXiv 2024年
作者: Ding, Chuntao Cao, Xu Xie, Jianhang Fan, Linlin Wang, Shangguang Lu, Zhichao School of Artificial Intelligence Beijing Normal University Beijing China Key Laboratory of Big Data & Artificial Intelligence in Transportation Ministry of Education with School of Computer Science and Technology Beijing Jiaotong University Beijing100044 China School of Computer and Information Engineering Henan Normal University Henan453007 China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China Department of Computer Science City University of Hong Kong HKSAR Hong Kong
Efficient fine-tuning of pre-trained convolutional neural network (CNN) models using local data is essential for providing high-quality services to users using ubiquitous and resource-limited Internet of Things (IoT) ... 详细信息
来源: 评论
Nanohertz gravitational waves from a quasar-based supermassive black hole binary population model as dark sirens
arXiv
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arXiv 2024年
作者: Xiao, Si-Ren Shao, Yue Wang, Ling-Feng Song, Ji-Yu Feng, Lu Zhang, Jing-Fei Zhang, Xin Liaoning Key Laboratory of Cosmology and Astrophysics College of Sciences Northeastern University Shenyang110819 China School of Physics and Optoelectronic Engineering Hainan University Haikou570228 China College of Physical Science and Technology Shenyang Normal University Shenyang110034 China MOE Key Laboratory of Data Analytics and Optimization for Smart Industry Northeastern University Shenyang110819 China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern University Shenyang110819 China
Recently, several pulsar timing array (PTA) projects have detected evidence of the existence of a stochastic gravitational wave background (SGWB) in the nanohertz frequency band, providing confidence in detecting indi... 详细信息
来源: 评论