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Li Li - IEEE Xplore Author Profile
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Li Li

Publications
11
Citations
9
Publications by Year
20102024
Co-Authors:
Show All Co-Authors (20)
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Li Li

Affiliation

School of Computer Science
Shaanxi Normal University
Xi'an, China

Publication Topics

Biography

Li Li received the B.S. and M.S. degrees in computer science from Shanxi Normal University, Xi'an, China, in 2002 and 2005 respectively, and the Ph.d. degree in control science and engineering in July 2012 from Xi'an Jiaotong University, Xi'an, China. She is currently doing her postdoctoral research at the SKLMS Laboratory of Xi'an Jiaotong University, and her research interest is mainly on reconfigurable networks and survivable networks.(Based on document published on 23 August 2013).
Publications
11
Citations
9
Publications by Year
20102024
Co-Authors:
Show All Co-Authors (20)
Author's Published Works

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Deep Attention Fusion Network for Attributed Graph Clustering

Congrui Wang;Li Li;Fei Hao

2024 International Conference on Networking and Network Applications (NaNA)
Year: 2024 | Conference Paper |
The field of graph clustering has gained prominence in data mining and machine learning due to the surge in big data and social networks. Deep clustering networks, which are commonly used for graph clustering, extract information from both attributes and structures to perform clustering tasks. However, the heterogeneity between the structure and attribute features of nodes can limit the model’s cl...Show More

Deep Attention Fusion Network for Attributed Graph Clustering

Congrui Wang;Li Li;Fei Hao

Year: 2024 | Conference Paper |

Reducing Redundancy of Data Samples Method Based on Data-Importance Analysis

Huan Chen;Li Li;Yunwang Xu

2024 International Conference on Networking and Network Applications (NaNA)
Year: 2024 | Conference Paper |
With the explosive increase in mobile data volume, traditional cloud platforms can no longer meet the real-time requirements of edge devices. In this context, some scholars have proposed deploying a middle cloud, also known as an edge cloud. The data storage and processing capabilities of the edge cloud are far inferior to those of the center cloud, thus it cannot efficiently handle large-scale ed...Show More

Reducing Redundancy of Data Samples Method Based on Data-Importance Analysis

Huan Chen;Li Li;Yunwang Xu

Year: 2024 | Conference Paper |

Improving Bipartite Networks Embedding with Partially Available Vertex Content

Shuang Yang;Li Li

2023 International Conference on Networking and Network Applications (NaNA)
Year: 2023 | Conference Paper |
Most interactive networks in the real world are bipartite networks, the research and analysis of bipartite networks has very high application value. Network embedding aims to represent nodes in a network as low-dimensional dense vectors, while retaining structural information and characteristics in the original network to the greatest extent. Most of the existing bipartite network only focus on st...Show More

Improving Bipartite Networks Embedding with Partially Available Vertex Content

Shuang Yang;Li Li

Year: 2023 | Conference Paper |

An efficient method for restraining negative information cascades in online social networks

Yan Wang;Li Li;ZhaoHua Wang;XiaoHua Zheng

2022 International Conference on Networking and Network Applications (NaNA)
Year: 2022 | Conference Paper |
Information cascades is recognized as a major factor in disastrous social network phenomenons. The clustering of network community can block the cascade of negative information and users' behaviors in online social networks (OSNs). Confronting limited network resources, this paper takes the interaction relationship between network structure optimizing and neighbors' behaviors cascading as the brea...Show More

An efficient method for restraining negative information cascades in online social networks

Yan Wang;Li Li;ZhaoHua Wang;XiaoHua Zheng

Year: 2022 | Conference Paper |

Identifying influential nodes for blocking information cascades based on improved structural holes in social networks

Jing Han;Li Li;XiaoHua Zheng

2021 20th International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS)
Year: 2021 | Conference Paper |
Information cascades are considered to be a major factor in all aspects of disastrous social network phenomenon. Identifying the influential nodes for information cascades is of theoretical and practical significance. Many centrality indexes used to evaluate impact capability of nodes are difficult to balance between location importance and function control. Structural hole nodes have a natural do...Show More

Identifying influential nodes for blocking information cascades based on improved structural holes in social networks

Jing Han;Li Li;XiaoHua Zheng

Year: 2021 | Conference Paper |

Robust Controller Placement Based on Load Balancing in Software Defined Networks

Xi Zhang;Li Li;Chao-bo Yan

2020 IEEE International Conference on Networking, Sensing and Control (ICNSC)
Year: 2020 | Conference Paper |
Cited by: Papers (4)
To further improve Software Defined networks performance, robustness and load balancing, it is valuable to determine how to optimally deploy controllers against links failure. In this paper, we model the robust controller placement (RCP) optimization problem with an integer linear programming, termed RCP_ILP, which optimally places the least controllers to meet the robustness and load balancing. T...Show More

Robust Controller Placement Based on Load Balancing in Software Defined Networks

Xi Zhang;Li Li;Chao-bo Yan

Year: 2020 | Conference Paper |

Towards robust controller placement in software-defined networks against links failure

Li Li;Nana Du;Huanyu Liu;Ruifang Zhang;Chaobo Yan

2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)
Year: 2019 | Conference Paper |
To further improve software-defined network performance, robustness and efficiency, it is valuable to determine how to optimally deploy controllers against links failure, e.g., fiber cuts, operation failure, etc. In this paper, we investigate the problem of robust controller placements against any k links failure (k-RCP) optimization with network delay and load balancing. The k-RCP optimization pr...Show More

Towards robust controller placement in software-defined networks against links failure

Li Li;Nana Du;Huanyu Liu;Ruifang Zhang;Chaobo Yan

Year: 2019 | Conference Paper |

Epidemic Propagation Control with Limited Temporary Link Removed

Ruifang Zhang;Li Li;Nana Du;Huanyu Liu

2018 International Conference on Networking and Network Applications (NaNA)
Year: 2018 | Conference Paper |
Cited by: Papers (1)
The spread of epidemic in social networks poses great challenges to the human health and public order. It is imperative to develop corresponding countermeasures to control the epidemic propagation. Most of existing works either overlook the reconfiguration of network topology or do not consider the cost of countermeasures. Motivated by these issues, this paper proposes a convenient strategy to con...Show More

Epidemic Propagation Control with Limited Temporary Link Removed

Ruifang Zhang;Li Li;Nana Du;Huanyu Liu

Year: 2018 | Conference Paper |

Reconfiguring Networked Infrastructures by Adding Wireless Communication Capabilities to Selected Nodes

Hengtao Wang;Qianchuan Zhao;Xiaohong Guan;Qing-Shan Jia;Li Li

IEEE Transactions on Wireless Communications
Year: 2013 | Volume: 12, Issue: 9 | Journal Article |
Cited by: Papers (3)
Robustness is an important requirement on many critical networked infrastructures. One of the most important ways to achieve robustness is to keep an appropriate level of redundancy by adding redundant resources for the critical networked infrastructures. Considering wireless with good reconfigurabilities, we add wireless communication capacities to selected nodes of a wired networked system in th...Show More

Reconfiguring Networked Infrastructures by Adding Wireless Communication Capabilities to Selected Nodes

Hengtao Wang;Qianchuan Zhao;Xiaohong Guan;Qing-Shan Jia;Li Li

Year: 2013 | Volume: 12, Issue: 9 | Journal Article |

A near optimal solution for network topology reconfigurations with limited link resources

Li Li;Qing-Shan Jia;Heng-Tao Wang;Ruixi Yuan;Xiaohong Guan

2011 9th World Congress on Intelligent Control and Automation
Year: 2011 | Conference Paper |
Cited by: Papers (1)
As a promising approach to improve network survivability, reliability and flexibility, topology reconfiguration is extremely important for modern networked infrastructures. In particular, for an existing network and a limited set of newly available resources, it is valuable to determine how to optimally allocate the new resources, such that the resulting network is the most robust and efficient. I...Show More

A near optimal solution for network topology reconfigurations with limited link resources

Li Li;Qing-Shan Jia;Heng-Tao Wang;Ruixi Yuan;Xiaohong Guan

Year: 2011 | Conference Paper |

A tentative study on reconfigurable network model

Li Li;Xiaoyan Xu

2010 International Conference on Computer Application and System Modeling (ICCASM 2010)
Year: 2010 | Conference Paper |
As a promising technology to improve network survivability, reliability and flexibility, autonomous reconfigurability is extremely important for modern information networks that usually respond to unforeseen events. In this paper, we mainly focus on autonomously reconfigurable network systems from the point of emergency response. Based on the features of reconfigurable network systems, we propose ...Show More

A tentative study on reconfigurable network model

Li Li;Xiaoyan Xu

Year: 2010 | Volume: 13 | Conference Paper |

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