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检索条件"机构=Key Laboratory for Embedded and Network Computing"
112 条 记 录,以下是21-30 订阅
排序:
Infra-YOLO: Efficient Neural network Structure with Model Compression for Real-Time Infrared Small Object Detection
arXiv
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arXiv 2024年
作者: Chen, Zhonglin Geng, Anyu Jiang, Jianan Lu, Jiwu Wu, Di The College of Electrical and Information Engineering Hunan University Hunan Changsha410082 China The Key Laboratory for Embedded and Network Computing of Hunan Province Hunan University Hunan Changsha410082 China
Although convolutional neural networks have made outstanding achievements in visible light target detection, there are still many challenges in infrared small object detection because of the low signal-to-noise ratio,... 详细信息
来源: 评论
A Novel ICD Coding Method Based on Associated and Hierarchical Code Description Distillation
arXiv
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arXiv 2024年
作者: Zhang, Bin Wang, Junli Key Laboratory of Embedded System and Service Computing Tongji University Ministry of Education Shanghai201804 China Collaborative Innovation Center for Financial Network Security Tongji University Shanghai201804 China
ICD(International Classification of Diseases) coding involves assigning ICD codes to patients visit based on their medical notes. ICD coding is a challenging multilabel text classification problem due to noisy medical... 详细信息
来源: 评论
Correct after Answer: Enhancing Multi-Span Question Answering with Post-Processing Method
arXiv
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arXiv 2024年
作者: Lin, Jiayi Zhang, Chenyang Tong, Haibo Zhang, Dongyu Hong, Qingqing Hou, Bingxuan Wang, Junli Key Laboratory of Embedded System and Service Computing Tongji University Ministry of Education Shanghai201804 China Collaborative Innovation Center for Financial Network Security Tongji University Shanghai201804 China
Multi-Span Question Answering (MSQA) requires models to extract one or multiple answer spans from a given context to answer a question. Prior work mainly focuses on designing specific methods or applying heuristic str... 详细信息
来源: 评论
Zram Instance Pool Framework for Adaptive Memory Compression in Resource-Sensitive embedded Operating Systems
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IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 2025年
作者: Deng, Yin Xie, Guoqi Xiong, Chenglai Zhao, Sirong Ren, Wei Li, Kenli Hunan University Key Laboratory for Embedded and Network Computing of Hunan Province College of Computer Science and Electronic Engineering Hunan Changsha410082 China Huawei Technology Co. Ltd. Central Software Institute Guangdong Shenzhen518129 China
Memory compression can reduce the size of the inactive data in the random access memory (RAM), thereby freeing up unused space and allowing more programs to run;however, current mainstream memory compression framework... 详细信息
来源: 评论
LIDS: A Lightweight Intrusion Detection System for Controller Area network
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IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 2025年
作者: Yu, Zhangwei Liu, Yan Li, Renfa Chang, Wanli Hunan University Key Laboratory for Embedded and Network Computing of Hunan Province College of Computer Science and Electronic Engineering Changsha410082 China Research Institute of Hunan University in Chongqing Research and Innovation Center for Convergence of Automobile and Cyberspace Chongqing401120 China
Controller Area network (CAN) is widely adopted in automobiles and susceptible to cyber attacks with the development of intelligent connected vehicles. While neural networks have demonstrated high accuracy in detectio... 详细信息
来源: 评论
Fault Tolerance in Time-Sensitive networking with Mixed-Critical Traffic
Fault Tolerance in Time-Sensitive Networking with Mixed-Crit...
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Design Automation Conference
作者: Wenhong Ma Xiangzhen Xiao Guoqi Xie Nan Guan Yu Jiang Wanli Chang Key Laboratory for Embedded and Network Computing of Hunan Province College of Computer Science and Electronic Engineering Hunan University City University of Hong Kong Tsinghua University China
As an Ethernet-based communication protocol with timing determinism, TSN (time-sensitive networking) has become a well-recognized promising in-vehicle network solution for increasingly automated automobiles. To satisf...
来源: 评论
DCOM-GNN: A Deep Clustering Optimization Method for Graph
SSRN
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SSRN 2023年
作者: Yang, Haoran Wang, Junli Duan, Rui Yan, Chungang Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai201804 China Collaborative Innovation Center for Financial Network Security Tongji University Shanghai201804 China
Deep clustering plays an important role in data analysis, and with the prevalence of graph data nowadays, various deep clustering models on graph are constantly proposed. However, due to the lack of more adequate clus... 详细信息
来源: 评论
Graph Ensemble Neural network
SSRN
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SSRN 2023年
作者: Duan, Rui Yan, Chungang Wang, Junli Jiang, Changjun Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai201804 China Collaborative Innovation Center for Financial Network Security Tongji University Shanghai201804 China
Ensemble methods have been shown to improve graph neural networks (GNNs). Existing ensemble methods on graphs determine a strong classifier by combining a set of trained base classifiers, i.e., combining the final out... 详细信息
来源: 评论
CityGPT: Towards Urban IoT Learning, Analysis and Interaction with Multi-Agent System
arXiv
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arXiv 2024年
作者: Guan, Qinghua Ouyang, Jinhui Wu, Di Yu, Weiren Zhu, Yi Yuan, Xiang The Key Laboratory for Embedded and Network Computing of Hunan Province Hunan University Hunan Changsha410082 China The Department of Computer Science University of Warwick CoventryCV4 7AL United Kingdom
The spatiotemporal data generated by massive sensors in the Internet of Things (IoT) is extremely dynamic, heterogeneous, large scale and time-dependent. It poses great challenges (e.g. accuracy, reliability, and stab... 详细信息
来源: 评论
FedDDB: Clustered Federated Learning based on Data Distribution Difference  22
FedDDB: Clustered Federated Learning based on Data Distribut...
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Proceedings of the 2022 5th International Conference on Algorithms, computing and Artificial Intelligence
作者: Chengyu You Zihao Lu Junli Wang Chungang Yan Key Laboratory of Embedded System and Service Computing (Tongji University) Ministry of Education China and National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security Tongji University China
Clustered federated learning is a federated learning method based on multi-task learning. It groups similar clients into the same clusters and shares model parameters to solve the problem that the joint model is trapp... 详细信息
来源: 评论