Blar i Fakultet for informasjonsteknologi og elektroteknikk (IE) på forfatter "Qi, Lianyong"

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    • Amplified locality‐sensitive hashing‐based recommender systems with privacy protection 

      Chi, Xiaoxiao; Yan, Chao; Wang, Hao; Rafique, Wajid; Qi, Lianyong (Peer reviewed; Journal article, 2020)
      With the advent of Internet of Things (IoT) age, the variety and volume of web services have been increasing at a fast speed. This often leads to users' selections for web services more complicated. Under the circumstance, ...

    • Blockchain-Powered Service Migration for Uncertainty-Aware Workflows in Edge Computing 

      Xu, Xiaolong; Geng, Qingfan; Cao, Hao; Mo, Ruichao; Wan, Shaohua; Qi, Lianyong; Wang, Hao (Journal article; Peer reviewed, 2019)
      In edge computing, the workflow is used to simulate and manage computing tasks as well as information exchange for compute-intensive and data-intensive application, which is convenient for the various complex process to ...

    • Edge Computing-Enabled Resource Provisioning for Video Surveillance in Internet of Vehicles 

      Xu, Xiaolong; Wu, Qi; He, Chengxun; Wan, Shaohua; Qi, Lianyong; Wang, Hao (Journal article; Peer reviewed, 2019)
      As a novel technology, Internet of Vehicles (IoV) is employed to gather real-time traffic information for drivers from sensors and video surveillance devices with image processing, circumstances analysis and events ...

    • Security-Driven Hybrid Collaborative Recommendation Method for Cloud-based IoT Services 

      Meng, Shunmei; Gao, Zijian; Li, Qianmu; Wang, Hao; Dai, Hong-Ning; Qi, Lianyong (Peer reviewed; Journal article, 2020)
      The rapid development of IoT (Internet of Things) systems and cloud techniques has paved the way for recommender systems to facilitate the daily life of users. However, the accompanying cybersecurity risks, such as ...

    • Service Recommendation with High Accuracy and Diversity 

      Wu, Shengqi; Kou, Huaizhen; Lv, Chao; Huang, Wanli; Qi, Lianyong; Wang, Hao (Peer reviewed; Journal article, 2020)
      In recent years, the number of web services grows explosively. With a large amount of information resources, it is difficult for users to quickly find the services they need. Thus, the design of an effective web service ...