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检索条件"机构=Key Laboratory for Embedded and Network Computing of Hunan"
152 条 记 录,以下是51-60 订阅
排序:
Software-Defined Edge computing: A New Architecture Paradigm to Support IoT Data Analysis
arXiv
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arXiv 2021年
作者: Wu, Di Xie, Xiaofeng Nie, Xiang Fu, Bin Deng, Hanhui Zeng, Haibo Qin, Zhijin Key Laboratory for Embedded and Network Computing of Hunan Province Hunan University China Department of Electrical and Computer Engineering Virginia Tech United States EECS Queen Mary University of London United Kingdom
—The rapid deployment of Internet of Things (IoT) applications leads to massive data that need to be processed. These IoT applications have specific communication requirements on latency and bandwidth, and present ne... 详细信息
来源: 评论
Routing Strategy for SDN Large Flow Based on Deep Reinforcement Learning
Routing Strategy for SDN Large Flow Based on Deep Reinforcem...
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IEEE International Conference on Big Data and Cloud computing (BdCloud)
作者: Yu Ke Junli Wang Chungang Yan Jiamin Yao Key Laboratory of Embedded System and Service Computing Collaborative Innovation Center for Financial Network Security (Tongji University) Ministry of Education National (Province-Ministry Joint) Tongji University Shanghai China
With the expansion of network scale, traditional routing strategies in Software-Defined networking (SDN) have difficulty adapting to fast traffic variability. The large flow in the network occupies 80% of the network ... 详细信息
来源: 评论
A Dual-stage Attention Based SDN Traffic Prediction Method
A Dual-stage Attention Based SDN Traffic Prediction Method
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IEEE International Conference on Big Data and Cloud computing (BdCloud)
作者: Chenjing Gao Junli Wang Chungang Yan Key Laboratory of Embedded System and Service Computing (Tongji University) Ministry of Education National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security Tongji University Shanghai China
Traffic matrix is the main research object of traffic prediction in software-defined networking. Accurate and timely traffic matrix prediction plays an important role in avoiding network congestion. While various meth... 详细信息
来源: 评论
LAMPT: LAbel Mask-Predicted Transformer for Extreme Multi-label Text Classification
LAMPT: LAbel Mask-Predicted Transformer for Extreme Multi-la...
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IEEE International Conference on Big Data
作者: Yifan Xu Minghao Zhu Junli Wang Chungang Yan Key Laboratory of Embedded System and Service Computing (Tongji University) Ministry of Education. National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security Tongji University Shanghai China
Extreme Multi-label text Classification ( XMC) is a task of recalling the most relevant labels for each given text from an extremely large-scale label set. It is emphasized that XMC is a more complex classification ta... 详细信息
来源: 评论
Multi-Label Learning Based on Transfer Learning and Label Correlation
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Computers, Materials & Continua 2019年 第7期61卷 155-169页
作者: Kehua Yang Chaowei She Wei Zhang Jiqing Yao Shaosong Long College of Computer Science and Electronic Engineering and Key Laboratory for Embedded and Network Computing of Hunan Province Hunan UniversityChangsha410082China Oath Verizon Company ManhattanNew York10007USA
In recent years,multi-label learning has received a lot of ***,most of the existing methods only consider global label correlation or local label *** fact,on the one hand,both global and local label correlations can a... 详细信息
来源: 评论
keyphrase Generation Based on Self-Attention Mechanism
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Computers, Materials & Continua 2019年 第8期61卷 569-581页
作者: Kehua Yang Yaodong Wang Wei Zhang Jiqing Yao Yuquan Le College of Computer Science and Electronic Engineering and Key Laboratory for Embedded and Network Computing of Hunan Province Hunan UniversityChangsha410082China Oath Verizon Company ManhattanNew York10007USA
keyphrase greatly provides summarized and valuable *** information can help us not only understand text semantics,but also organize and retrieve text content *** task of automatically generating it has received consid... 详细信息
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Activity-specific caloric expenditure estimation from kinetic energy harvesting in wearable devices
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Pervasive and Mobile computing 2020年 67卷 101185-101185页
作者: Xiao, Ling Wu, Kai Tian, Xiaobing Luo, Juan College of Computer Science and Electronic Engineering Hunan University Changsha0731 China Key Laboratory for Embedded and Network Computing of Hunan Province China
Accurate and efficient estimation of caloric expenditure during daily activities is desirable in tracking personal activity and health. Kinetic energy harvesting (KEH) has created an opportunity for wearable devices w... 详细信息
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CSCL-DTI: predicting drug-target interaction through cross-view and self-supervised contrastive learning
CSCL-DTI: predicting drug-target interaction through cross-v...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Xuan Lin Xi Zhang Zu-Guo Yu Yahui Long Xiangxiang Zeng Philip S. Yu College of Computer Science Xiangtan University China Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University China Singapore Immunology Network (SIgN) Agency for Science Technology and Research (A*STAR) Singapore College of Information Science and Engineering Hunan University China Department of Computer Science University of Illinois Chicago USA
Accurately predicting drug-target interactions (DTI) is a critical step in drug discovery. Existing methods of DTI prediction primarily employ Simplified Molecular-Input Line-Entry System (SMILES) sequences or molecul... 详细信息
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Interpretable multi-view attention network for drug-drug interaction prediction
Interpretable multi-view attention network for drug-drug int...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Xuan Lin Qi Wen Sijie Yang Zu-Guo Yu Yahui Long Xiangxiang Zeng College of Computer Science Xiangtan University China Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University China Singapore Immunology Network (SIgN) Agency for Science Technology and Research(A*STAR) Singapore College of Information Science and Engineering Hunan University China
Drug-drug interaction (DDI) plays an increasingly crucial role in drug discovery. Predicting potential DDI is also essential for clinical research. Given the high cost and risk of wet-lab experiments, in-silico DDI pr...
来源: 评论
Energy optimization on dynamic multiple functions automotive cyber-physical systems  21
Energy optimization on dynamic multiple functions automotive...
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21st IEEE International Conference on High Performance computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019
作者: Liu, Yan Xie, Guoqi Jin, Linlin Li, Renfa Key Laboratory for Embedded and Network Computing of Hunan Province College of Computer Science and Electronic Engineering Hunan University Changsha Hunan China
A new generation of automotive electronic systems is a typical cyber-physical systems (CPS) based on an integrated architecture, in which multiple functions can be executed on one electronic control unit (ECU) and one... 详细信息
来源: 评论