• Kang G, Wang Y, Ren H, Cao B, Liu J and Wen Y. (2024). KS-GNN: Keyword Search via Graph Neural Network for Web API Recommendation. IEEE Transactions on Network and Service Management. 21:5. (5464-5474). Online publication date: 1-Oct-2024.

    https://doi.org/10.1109/TNSM.2024.3420072

  • Tu T, Su Y, Tang Y, Guo G, Tan W and Ren S. (2023). SHFW: second-order hybrid fusion weight–median algorithm based on machining learning for advanced IoT data analytics. Wireless Networks. 30:6. (6055-6067). Online publication date: 1-Aug-2024.

    https://doi.org/10.1007/s11276-023-03395-5

  • Cheng J, Feng Q, Li C and Yang W. (2023). Securing FPGAs in IoT: a new run-time monitoring technique against hardware Trojan. Wireless Networks. 30:6. (5455-5463). Online publication date: 1-Aug-2024.

    https://doi.org/10.1007/s11276-023-03305-9

  • Chen C, Li C and Duan Y. (2024). Mobile healthcare data mining for sport item recommendation in edge-cloud collaboration. Wireless Networks. 30:5. (4569-4579). Online publication date: 1-Jul-2024.

    https://doi.org/10.1007/s11276-022-03059-w

  • Chen Z, Bao T, Qi W, You D, Liu L and Shen L. (2024). Poisoning QoS-aware cloud API recommender system with generative adversarial network attack. Expert Systems with Applications: An International Journal. 238:PB. Online publication date: 15-Mar-2024.

    https://doi.org/10.1016/j.eswa.2023.121630

  • Chen J, Yang S, Gao T, Ying Y, Li T and Li P. (2024). Multi-type concept drift detection under a dual-layer variable sliding window in frequent pattern mining with cloud computing. Journal of Cloud Computing: Advances, Systems and Applications. 13:1. Online publication date: 15-Feb-2024.

    https://doi.org/10.1186/s13677-023-00566-9

  • Yu T, Zhang L, Liu H, Liu H and Wang J. (2024). Service recommendation based on contrastive learning and multi-task learning. Computer Communications. 213:C. (285-295). Online publication date: 1-Jan-2024.

    https://doi.org/10.1016/j.comcom.2023.11.018

  • Jia H, Cai D, Yang J, Qian W, Wang C, Li X and Yang S. (2023). Efficient and privacy-preserving image classification using homomorphic encryption and chunk-based convolutional neural network. Journal of Cloud Computing: Advances, Systems and Applications. 12:1. Online publication date: 12-Dec-2023.

    https://doi.org/10.1186/s13677-023-00537-0

  • Li H, Xu Q, Wang Q and Tang B. (2023). A Review of Intelligent Verification System for Distribution Automation Terminal based on Artificial Intelligence Algorithms. Journal of Cloud Computing: Advances, Systems and Applications. 12:1. Online publication date: 7-Dec-2023.

    https://doi.org/10.1186/s13677-023-00527-2

  • Xiao L, Cao Y, Gai Y, Liu J, Zhong P and Moghimi M. (2023). Review on the application of cloud computing in the sports industry. Journal of Cloud Computing: Advances, Systems and Applications. 12:1. Online publication date: 2-Nov-2023.

    https://doi.org/10.1186/s13677-023-00531-6

  • Wei S, Meng S, Li Q, Zhou X, Qi L and Xu X. (2023). Edge-enabled federated sequential recommendation with knowledge-aware Transformer. Future Generation Computer Systems. 148:C. (610-622). Online publication date: 1-Nov-2023.

    https://doi.org/10.1016/j.future.2023.06.028

  • Shi R, Chen Y, Tan C, Luo Y and Li T. (2023). ROMSS: a rational optional multi-secret sharing scheme based on reputation mechanism. Journal of Cloud Computing: Advances, Systems and Applications. 12:1. Online publication date: 23-Oct-2023.

    https://doi.org/10.1186/s13677-023-00495-7

  • Liu X, Meng S, Li Q, Qi L, Xu X, Dou W and Zhang X. SMEF: Social-aware Multi-dimensional Edge Features-based Graph Representation Learning for Recommendation. Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. (1566-1575).

    https://doi.org/10.1145/3583780.3615063

  • Liu L, He H, Qi F, Zhao Y, Xie W, Zhou F and Feng L. (2023). HAP-assisted multi-aerial base station deployment for capacity enhancement via federated deep reinforcement learning. Journal of Cloud Computing: Advances, Systems and Applications. 12:1. Online publication date: 3-Oct-2023.

    https://doi.org/10.1186/s13677-023-00512-9

  • Meng S, Li Q, Qi L, Xu X, Yuan R and Zhang X. (2023). An intelligent recommendation method based on multi-interest network and adversarial deep learning. Computers and Security. 130:C. Online publication date: 1-Jul-2023.

    https://doi.org/10.1016/j.cose.2023.103264

  • Shen Y, Liu B, Xia X, Qi L, Xu X and Dou W. (2023). A game theory-based COVID-19 close contact detecting method with edge computing collaboration. Computer Communications. 207:C. (36-45). Online publication date: 1-Jul-2023.

    https://doi.org/10.1016/j.comcom.2023.04.029

  • Wang Y, Qi L, Dou R, Shen S, Hou L, Liu Y, Yang Y and Kong L. (2023). An accuracy-enhanced group recommendation approach based on DEMATEL. Pattern Recognition Letters. 167:C. (171-180). Online publication date: 1-Mar-2023.

    https://doi.org/10.1016/j.patrec.2023.02.008

  • Ge Y, Chen Z, Kong W, Liu Y, Wong R, Zhang S and Qi L. (2023). An Efficient Dynamic Programming Algorithm for Finding Group Steiner Trees in Temporal Graphs. International Journal of Intelligent Systems. 2023. Online publication date: 1-Jan-2023.

    https://doi.org/10.1155/2023/1974161

  • Jin C, Xu J, Han Y, Hu J, Chen Y, Huang J and Kumar A. (2022). Efficient Delay-Aware Task Scheduling for IoT Devices in Mobile Cloud Computing. Mobile Information Systems. 2022. Online publication date: 1-Jan-2022.

    https://doi.org/10.1155/2022/1849877