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检索条件"机构=Key Laboratory for the Embedded System and Service Computing of Ministry of Education"
501 条 记 录,以下是31-40 订阅
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Feedback-based Coarse Time-Granularity POI Recommendation and Itinerary Planning
Feedback-based Coarse Time-Granularity POI Recommendation an...
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2021 China Automation Congress, CAC 2021
作者: Zong, Jie Ding, Zhijun The Key Laboratory of Embedded System and Service Computing Ministry of Education TONGJI University Shanghai China
For tourists, planning their own travel itinerary to a strange city is really challenging. Although there are many researches on Point of Interests (POIs) recommendation and itinerary planning, two problems occur in c... 详细信息
来源: 评论
CONSISTENT REPRESENTATION LEARNING ACROSS MODALITIES FOR ZERO-SHOT IMAGE RECOGNITION
CONSISTENT REPRESENTATION LEARNING ACROSS MODALITIES FOR ZER...
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2021 IEEE International Conference on Multimedia and Expo, ICME 2021
作者: Wang, Yu Zhao, Sev-Jue Key Laboratory of Embedded System and Service Computing Ministry of Education China HaiBa Technology China
Zero-shot learning (ZSL) recently has drawn widespread attention due to the demand for scalability of object recognition in real scenes. Existing approaches typically focus on directly learning various mapping functio... 详细信息
来源: 评论
Research on Behavior Element Decision of Cloud Edge Collaboration Capability Based on 5g Automatic Driving Scene  5
Research on Behavior Element Decision of Cloud Edge Collabor...
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5th IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2021
作者: Yan, Chungang Sheng, Shuo Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China
In order to meet the cloud side requirements of various traffic business scenarios, the construction of traffic cloud side collaboration platform realizes the collaboration and unification of various business resource... 详细信息
来源: 评论
FedWNS: Data Distribution-Wise Node Selection in Federated Learning via Reinforcement Learning  26
FedWNS: Data Distribution-Wise Node Selection in Federated L...
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26th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2023
作者: Tu, Chengwu Zhao, Shengjie Deng, Hao Tongji University School of Software Engineering Shanghai201800 China Key Laboratory of Embedded System and Service Computing Shanghai201800 China Engineering Research Center of Key Software Technologies for Smart City Perception and Planning Ministry of Education Shanghai201800 China
To deal with the discrepancy between global and local objectives in the federated learning invoked by the non-independent, identically distributed (non-IID) data and mitigate the impact of catastrophic forgetting in t... 详细信息
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Adaptive Granulation for Efficient Classification on Noise Labeled Images
Adaptive Granulation for Efficient Classification on Noise L...
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International Conference on Computational Intelligence and Applications (ICCIA)
作者: Kecan Cai Hongyun Zhang Duoqian Miao Department of Computer Science and Technology Tongji University Shanghai China Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai China
Current semi-supervised learning-based sample selection methods for noisy label image classification typically utilize all clean and noisy samples for model training. However, not all noisy samples contribute positive... 详细信息
来源: 评论
Consensus in Second-Order Discrete-Time MAS With Distinct and Multiple Coupling Matrices
Consensus in Second-Order Discrete-Time MAS With Distinct an...
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International Conference on systems and Informatics (ICSAI)
作者: Chenggong Sun Xiwei Liu Department of Computer Science and Technology Tongji University Shanghai China Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai China
In this paper, we explore and establish several necessary and sufficient conditions that are instrumental in achieving consensus within second-order discrete-time multi-agent systems (SDMAS). Different with previous r... 详细信息
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Multi-View Metrics Enhanced Heterogeneous Graph Neural Network for Extractive Summarization
Multi-View Metrics Enhanced Heterogeneous Graph Neural Netwo...
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2021 China Automation Congress, CAC 2021
作者: Zhang, Chaobo Wang, Junli Qi, Hongda Yan, Chungang Jiang, Changjun Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai201804 China
Currently, many works regarded extractive summarization as a binary classification problem. However, the metric of the summary classification is always too singular and cannot fully utilize sentence features. To addre... 详细信息
来源: 评论
Heuristic Elastic Scaling for Kubernetes Heterogeneous Microservices  21
Heuristic Elastic Scaling for Kubernetes Heterogeneous Micro...
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21st International Conference on Networking, Sensing and Control, ICNSC 2024
作者: Wang, Song He, Sheng Ning, Yishuang Gao, Xiang Ding, Zhijun The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai201804 China The Department of Computer Science and Technology Tongji University Shanghai201804 China Kingdee Research Kingdee International Software Group Co. Ltd Shenzhen518057 China Intelligent Computing Facility Innovation Center ZhejiangLab Hangzhou30012 China
Kubernetes has become the basic platform for building cloud native applications. However, existing horizontal scaling methods based on Kubernetes have problems with resource redundancy. Furthermore, the combined horiz... 详细信息
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Spatial-Temporal Dynamic Graph Diffusion Convolutional Network for Traffic Flow Forecasting
Spatial-Temporal Dynamic Graph Diffusion Convolutional Netwo...
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IEEE International Conference on Big Data
作者: Yang Li Yaying Zhang Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai Artificial Intelligence Laboratory Shanghai China
Traffic forecasting plays a crucial role in intelligent transportation systems and finds application in various domains. Accurate traffic forecasting remains challenging due to the time-varying correlations within the...
来源: 评论
SGED-Net: A Self-organizing Graph Embedding Deep Network for Travel Time Estimation
SGED-Net: A Self-organizing Graph Embedding Deep Network for...
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International Joint Conference on Neural Networks (IJCNN)
作者: Jiankai Zuo Yaying Zhang Key Laboratory of Embedded System and Service Computing of Ministry of Education Tongji University Shanghai China Shanghai Artificial Intelligence Laboratory Shanghai China
In recent years, the travel time prediction has been receiving sustained attention because of the prevalence of location based applications, smart city engineering and online car-hailing. In this paper, a Self-organiz...
来源: 评论