Contact
Room 404, Engineering Building No.2,
Higher Education Mega-Center,
Guangdong University of Technology
+86 20 3932 2436
find_lab@163.com

WeChat QR Code

We are a branch of the Research Group from Intelligent Information Processing Laboratory.
Learn more about IIP Lab:
www.iiplab.cn
News
  • [Feb. 05]
    The FIND Anunal Metting was held
  • [Oct. 12]
    Maoqiang attended IEEE WCSP 2017 in Nanjing.
  • [Jan. 26]
    The FIND Anunal Metting was held
  • [Jul. 28]
    Maoqiang and Dongdong won the Best Paper Award in ICCC 2016. Congratulations!!
  • [May 17]
    Maoqiang and Dongdong attended IEEE VTC 2016-Spring in Nanjing.
  • [Apr. 18]
    One of our papers on secure vehicular cloud was accepted by IEEE Access.
  • [Apr. 14]
    Two papers were accepted by IEEE CSCloud 2016 and IEEE SSC 2016 respectively.
  • [Apr. 12]
    Dianming He started his visit to Université de Franche-Comté (UFC).
  • [Apr. 09]
    One paper has been accepted for publication in the IEEE Transactions on Vehicular Technology.
  • [Mar. 29]
    New members of class 2016 joined in Find Lab.
  • [Mar. 28]
    Prof. Zhang Yan visited our lab and had a meeting with Ph.D. students.
  • [Mar. 18]
    Dr. Yu will give a talk in WICON 2016 as invited speaker.
  • [Mar. 17]
    Dr. Jiansong Gan from Huawei Tech. visited our lab and gave a talk.
  • [Mar. 12]
    One of our papers ranked No.1 as top popular article in IEEE Network in Jan. 2016.
  • [Mar. 06]
    One paper was accepted by IEEE WCM.
Publications
  • Xumin Huang, Peichun Li, Rong Yu, et al, "FedParking: A Federated Learning based Parking Space Estimation with Parked Vehicle assisted Edge Computing", accepted by IEEE Transactions on Vehicular Technology
  • K. Liu, F. Ke, X. Huang, R. Yu, et al, "DeepBAN: A Temporal Convolution-based Communication Framework for Dynamic WBANs", accepted by IEEE Transactions on Communications
  • X. Huang, R. Yu, D. Ye, et al., "Efficient Workload Allocation and User-centric Utility Maximization for Task Scheduling in Collaborative Vehicular Edge Computing", accepted by IEEE Transactions on Vehicular Technology
  • M. Wu, D. Ye, J. Ding, Y. Guo, R. Yu and M. Pan, "Incentivizing Differentially Private Federated Learning: A Multi-Dimensional Contract Approach", IEEE Internet of Things Journal (Early Access), doi: 10.1109/JIOT.2021.3050163.
  • R. Yu and P. Li, "Toward Resource-Efficient Federated Learning in Mobile Edge Computing", IEEE Network, vol. 35, no. 1, pp. 148-155, March/April 2021.
  • S. Wang, D. Ye, X. Huang, R. Yu, Y. Wang, Y. Zhang, "Consortium Blockchain for Secure Resource Sharing in Vehicular Edge Computing: A Contract-based Approach", accepted by IEEE Transactions on Network Science and Engineering
  • X. Huang, R. Yu, S. Xie, and Y. Zhang, "Task-Container Matching Game for Computation Offloading in Vehicular Edge Computing and Networks", accepted by IEEE Transactions on Intelligent Transportation Systems.
  • C. Li, S. Wang, X. Li, F. Zhao and R. Yu, "Distributed Perception and Model Inference with Intelligent Connected Vehicles in Smart Cities, Ad Hoc Networks (2020)", Ad Hoc Networks, vol.103, no 1570-8705, June 2020.
  • X. Huang, D. Ye, R. Yu and L. Shu, "Securing Parked Vehicle Assisted Fog Computing with Blockchain and Optimal Smart Contract Design", IEEE/CAA Journal of Automatica Sinica, vol. 7, no. 2, pp. 426-441, March 2020.
  • Y. Wang, X. Zhang, H. Zhang, R. Yu and L. Shu, "Fast Switching With VM Migration in 5G Cloud Radio Access Networks", IEEE Systems Journal, vol. 14, no. 1, pp. 477-488, March 2020.
粤ICP备16006045号 | 版权所有©RongYu