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Jing Li - IEEE Xplore Author Profile
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Jing Li

Publications
11
Citations
50
Publications by Year
20142024
Co-Authors:
Show All Co-Authors (23)
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Jing Li

Affiliation

School of Computer Science and Technology
Shandong University of Technology
Zibo, China

Publication Topics

Biography

Jing Li received the BS and MS degrees in computer science and technology from Hunan University, Hunan, China, and the PhD degree in computer science from Concordia University, Montreal, Canada. She is an associate professor with the College of Computer Science and Technology, Shandong University of Technology, Shandong, China. Her main research interests include service computing, edge computing, and service composition.(Based on document published on 2 November 2023).
Publications
11
Citations
50
Publications by Year
20142024
Co-Authors:
Show All Co-Authors (23)
Author's Published Works

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Crowdsourcing Regional Coverage Balancing Method Based on Transfer Learning in Taxi Service

Yanling Yang;Ming Zhu;Jing Li;Chun Wang;Guodong Fan

IEEE Transactions on Intelligent Transportation Systems
Year: 2024 | Volume: 25, Issue: 11 | Journal Article |
With the in-depth study of taxi services, mobile crowdsourcing has become an emerging paradigm for solving location-based assignment tasks. However, only considering the task completion and regional coverage balance may reduce user’s satisfaction. Therefore, designing effective methods that not only address coverage balance but also take into account user’s satisfaction is a problem that needs to ...Show More

Crowdsourcing Regional Coverage Balancing Method Based on Transfer Learning in Taxi Service

Yanling Yang;Ming Zhu;Jing Li;Chun Wang;Guodong Fan

Year: 2024 | Volume: 25, Issue: 11 | Journal Article |

Service Recommendations for Mashup Based on Generation Model

Guodong Fan;Shizhan Chen;Qiang He;Hongyue Wu;Jing Li;Xiao Xue;Zhiyong Feng

IEEE Transactions on Services Computing
Year: 2024 | Volume: 17, Issue: 4 | Journal Article |
Service recommendations are crucial for developers to create mashups such as mobile applications, workflows, e-business solutions, etc. Existing methods based on collaborative filtering or content analysis are manual and cannot automatically acquire services that align with the requirements of mashup creation. A possible solution to automatically acquiring necessary services for mashups is the seq...Show More

Service Recommendations for Mashup Based on Generation Model

Guodong Fan;Shizhan Chen;Qiang He;Hongyue Wu;Jing Li;Xiao Xue;Zhiyong Feng

Year: 2024 | Volume: 17, Issue: 4 | Journal Article |

Environmental Sound Classification Using CNN Based on Mel-spectogram

Zhihao Gao;Tongyang Liu;Ming Zhu;Jing Li;Yingying Ning;Zhiqiang Wang

2023 2nd International Conference on Artificial Intelligence and Blockchain Technology (AIBT)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
In recent years, with the development of deep learning technology, the combination of deep neural network and audio data processing and analysis has become a new research hotspot, especially the representative convolutional neural network has achieved significant results on sound classification tasks. Therefore, in this paper, we propose a CNN structure, combined with extracting Mel-spectogram fea...Show More

Environmental Sound Classification Using CNN Based on Mel-spectogram

Zhihao Gao;Tongyang Liu;Ming Zhu;Jing Li;Yingying Ning;Zhiqiang Wang

Year: 2023 | Conference Paper |

An Ant Colony Approach with Subjective-Objective Weight Optimization for Service Selection

Xiukun Yan;Jing Li;Ming Zhu;Jiayi Du;Yong Xie;Lianjun Zhao

2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta)
Year: 2022 | Conference Paper |
To solve the problem that current service selection algorithms converge slowly and cannot simultaneously consider user requirements as well as service performance, an ant colony approach with subject-objective weight optimization for service selection is proposed. First, we use the subjective and objective weight analysis method to preprocess services and convert each service’s multiple Quality of...Show More

An Ant Colony Approach with Subjective-Objective Weight Optimization for Service Selection

Xiukun Yan;Jing Li;Ming Zhu;Jiayi Du;Yong Xie;Lianjun Zhao

Year: 2022 | Conference Paper |

Scaling up Mobile Service Selection in Edge Computing Environment with Cuckoo Optimization Algorithm

Ming Zhu;Feilong Yu;Xiukun Yan;Jing Li;Yaoting Wang

2021 IEEE International Conference on Services Computing (SCC)
Year: 2021 | Conference Paper |
Cited by: Papers (1)
Nowadays, instead of providing computational capabilities in the cloud, mobile edge computing pushes computational capabilities to network edges. It is common for mobile device users to request services located on edge servers. Mobile devices are usually resource-constrained with dynamic locations of users, and an unstable mobile environment may lead to complex mobile service requirements. Therefo...Show More

Scaling up Mobile Service Selection in Edge Computing Environment with Cuckoo Optimization Algorithm

Ming Zhu;Feilong Yu;Xiukun Yan;Jing Li;Yaoting Wang

Year: 2021 | Conference Paper |

A Pre-joined Service Composition Approach with Dynamic Services in a Graph Database

Jing Li;Ming Zhu;Miao Yu;Yuhong Yan;Lizhen Cui

2020 IEEE International Conference on Services Computing (SCC)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
Database-based composition approaches are evolving and coming into researchers' notice. In this paper, we present a pre-joined service composition approach with dynamic services in a Graph database. Firstly, services' information is stored in a graph database. Secondly, a composition network is constructed. Last but not least, a solution by converting the composition problem into graph database qu...Show More

A Pre-joined Service Composition Approach with Dynamic Services in a Graph Database

Jing Li;Ming Zhu;Miao Yu;Yuhong Yan;Lizhen Cui

Year: 2020 | Conference Paper |

Pre-Joined Semantic Indexing Graph for QoS-Aware Service Composition

Jing Li;Guodong Fan;Ming Zhu;Yuhong Yan

2019 IEEE International Conference on Web Services (ICWS)
Year: 2019 | Conference Paper |
Cited by: Papers (10)
Cloud computing users may obtain great flexibility with low cost by outsourcing their data and services to the cloud. Services are composed together as a solution when no individual services meet the goal. Unfortunately, searching an optimal composition requires significant time due to the high number of available services in the cloud. In this paper, we develop an approach that solves the composi...Show More

Pre-Joined Semantic Indexing Graph for QoS-Aware Service Composition

Jing Li;Guodong Fan;Ming Zhu;Yuhong Yan

Year: 2019 | Conference Paper |

Full Solution Indexing for Top-K Web Service Composition

Jing Li;Yuhong Yan;Daniel Lemire

IEEE Transactions on Services Computing
Year: 2018 | Volume: 11, Issue: 3 | Journal Article |
Cited by: Papers (12)
Automated service composition fulfills complex tasks by combining different existing web services together. Unfortunately, optimizing service composition is still a challenging area that needs to be addressed. In this article, we propose a novel relational database approach for automated service composition. All possible service combinations are generated beforehand and stored in a relational data...Show More

Full Solution Indexing for Top-K Web Service Composition

Jing Li;Yuhong Yan;Daniel Lemire

Year: 2018 | Volume: 11, Issue: 3 | Journal Article |

Scaling Up Web Service Composition with the Skyline Operator

Jing Li;Yuhong Yan;Daniel Lemire

2016 IEEE International Conference on Web Services (ICWS)
Year: 2016 | Conference Paper |
Cited by: Papers (11)
Web service composition enables the provision of existing resources on the web without investing in new infrastructure. However, searching an optimal composition solution with both functional and non-functional requirements is a computationally demanding problem: the time and space requirements may be insufferable due to the high number of available services. To alleviate this problem, we propose ...Show More

Scaling Up Web Service Composition with the Skyline Operator

Jing Li;Yuhong Yan;Daniel Lemire

Year: 2016 | Conference Paper |

A Web Service Composition Method Based on Compact K2-Trees

Jing Li;Yuhong Yan;Daniel Lemire

2015 IEEE International Conference on Services Computing
Year: 2015 | Conference Paper |
Cited by: Papers (3)
With the advent of cloud computing, a significant number of web services are available on the Internet. Services can be combined together when user's requirements are too complex to be solved by individual services. Since there are many services, searching a solution may require much storage. We propose to apply a compact data structure to represent the web service composition graph. To the best o...Show More

A Web Service Composition Method Based on Compact K2-Trees

Jing Li;Yuhong Yan;Daniel Lemire

Year: 2015 | Conference Paper |

Full Solution Indexing Using Database for QoS-Aware Web Service Composition

Jing Li;Yuhong Yan;Daniel Lemire

2014 IEEE International Conference on Services Computing
Year: 2014 | Conference Paper |
Cited by: Papers (10)
Automated service composition can fulfill user request by composing services automatically when no individual services meet the goal. Unfortunately, most of current automated service composition methods are in-memory methods, which are limited by expensive and volatile physical memory. In this work, we develop a relational-database approach for automatic service composition. Possible service combi...Show More

Full Solution Indexing Using Database for QoS-Aware Web Service Composition

Jing Li;Yuhong Yan;Daniel Lemire

Year: 2014 | Conference Paper |

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