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检索条件"机构=Key Laboratory of Computer Network and Information Integration in Southeast University"
663 条 记 录,以下是131-140 订阅
排序:
Code Generation From Flowcharts with Texts: A Benchmark Dataset and An Approach
Code Generation From Flowcharts with Texts: A Benchmark Data...
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2022 Findings of the Association for Computational Linguistics: EMNLP 2022
作者: Liu, Zejie Hu, Xiaoyu Zhou, Deyu Li, Lin Zhang, Xu Xiang, Yanzheng Key Laboratory of Computer Network and Information Integration Ministry of Education Southeast University China Nanjing Origin Information Technology Company China
Currently, researchers focus on generating codes from the requirement documents. However, current approaches still perform poorly on some requirements needing complex problem-solving skills. In reality, to tackle such... 详细信息
来源: 评论
BCTCP:A Feedback-Based Congestion Control Method
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China Communications 2020年 第6期17卷 13-25页
作者: Yuyu Zhao Guang Cheng Weici Zhang Xin Chen Jin Li School of Cyber Science&Engineering Southeast UniversityNanjing 211189China Key Laboratory of Computer Network and Information Integration of Ministry of Education Southeast UniversityNanjing 211189China Key Laboratory of Computer Network Technology of Jiangsu Province China Huawei Technologies Co. Ltd.No 101Software AvenueNanjing 211189China
Delay and throughput are the two network indicators that users most care *** congestion control methods try to occupy buffer aggressively until packet loss being detected,causing high delay and *** AQM and ECN can hig... 详细信息
来源: 评论
RBAS: A real-Time user behavior analysis system for Internet TV in cloud computing  16
RBAS: A real-Time user behavior analysis system for Internet...
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11th International Conference on Future Internet Technologies, CFI 2016
作者: Zhu, Chengang Cheng, Guang Guo, Xiaojun Wang, Yuxiang School of Computer Science and Engineering Key Laboratory of Computer Network and Information Integration Ministry of Education Southeast University Nanjing211189 China
The characteristic of Internet TV user behavior is quite essential for designers to optimize resource schedule and improve user experience. With the rapid development of Internet, both Internet TV users and STB (set t... 详细信息
来源: 评论
A Prediction-Based Fuzzy Method for Multi-objective Microservice Workflows Scheduling  18th
A Prediction-Based Fuzzy Method for Multi-objective Microse...
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18th CCF Conference on computer Supported Cooperative Work and Social Computing, ChineseCSCW 2023
作者: Xu, Jingwen Chen, Long Li, Xiaoping Wang, Shuang School of Computer Science and Engineering Key Laboratory of Computer Network and Information Integration Ministry of Education Southeast University Nanjing211189 China
Microservice workflows are widely used in real-time mobile computing scenarios such as face recognition and speech recognition. The key challenge is to develop efficient, stable, and robust algorithms capable of handl... 详细信息
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A Traffic Flow Prediction Based Task Offloading Method in Vehicular Edge Computing  18th
A Traffic Flow Prediction Based Task Offloading Method in V...
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18th CCF Conference on computer Supported Cooperative Work and Social Computing, ChineseCSCW 2023
作者: Xie, Liqiong Chen, Long Li, Xiaoping Wang, Shuang School of Computer Science and Engineering Key Laboratory of Computer Network and Information Integration Ministry of Education Southeast University Nanjing211189 China
Vehicular Edge Computing (VEC) emerges as a promising paradigm by deploying computation and storage resources on edge servers located in close proximity to vehicles, such as roadside units or base stations. This proxi... 详细信息
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Optimization of charging and data collection in wireless rechargeable sensor networks  1
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2nd International Conference on Human Centered Computing, HCC 2016
作者: Hu, Cheng Wang, Yun Key Lab of Computer Network and Information Integration MOE Southeast University Nanjing211189 China
Wireless Rechargeable Sensor networks (WRSNs) can significantly prolong the lifetime by employing a mobile charger to replenish the depleted energy of the sensor nodes. This paper considers the scenario that the mobil... 详细信息
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Label distribution for learning with noisy labels  29
Label distribution for learning with noisy labels
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29th International Joint Conference on Artificial Intelligence, IJCAI 2020
作者: Liu, Yun-Peng Xu, Ning Zhang, Yu Geng, Xin MOE Key Laboratory of Computer Network and Information Integration China School of Computer Science and Engineering Southeast University Nanjing210096 China
The performances of deep neural networks (DNNs) crucially rely on the quality of labeling. In some situations, labels are easily corrupted, and therefore become noisy labels. Thus, designing algorithms that deal with ... 详细信息
来源: 评论
Execution recovery in transactional composite service
Execution recovery in transactional composite service
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2013 IEEE 20th International Conference on Web Services, ICWS 2013
作者: Cao, Jiuxin Zhou, Tao Zhu, Gongrui Liu, Bo Luo, Junzhou School of Computer Science and Engineering Key Laboratory of Computer Network and Information Integration of MoE of China Southeast University Nanjing 211189 China
In the composite service which runs for a long time under the heterogeneous and loose-coupled circumstance, the failure of service tends to occur. The transaction and recovery mechanism is urgently needed in order to ... 详细信息
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Position Prediction Social-Relationship-Based on Multi-order Markov Model  3
Position Prediction Social-Relationship-Based on Multi-order...
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3rd International Conference on Advanced Cloud and Big Data, CBD 2015
作者: Zou, Yue Zhang, Sanfeng College of Software Engineering Southeast University Nanjing China Key Laboratory of Computer Network and Information Integration in Southeast University Ministry of Education Southeast University Nanjing China
Opportunistic network mobile user-nodes location prediction can help to collect the data, improve the dynamic network and help to decrease the problems which include the delay, low success rate, high storage space ene... 详细信息
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Adaptive sampling for openflow network measurement methods  17
Adaptive sampling for openflow network measurement methods
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12th International Conference on Future Internet Technologies, CFI 2017
作者: Cheng, Guang Yu, Jun School of Computer Science and Engineering Key Laboratory of Computer Network and Information Integration Southeast University Ministry of Education Nanjing211198 China
OpenFlow provides a statistics collection scheme for per-flow and aggregate metrics at a user-specified frequency. However, periodic polling for flow statistics cannot well balance the tradeofi between measurement acc... 详细信息
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