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

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We are a branch of the Research Group from Intelligent Information Processing Laboratory.
Learn more about IIP Lab:
  • [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.
  • M. Wu, D. Ye, C. Zhang, R. Yu, "Spears and Shields: Attacking and Defending Deep Model Co-Inference in Vehicular Crowdsensing Networks", accepted by EURASIP Journal on Advances in Signal Processing
  • M. Wu, X. Huang, B. Tan, R. Yu, "Hybrid Sensor Network with Edge Computing for AI Applications of Connected Vehicles", Journal of Internet Technology, vol.21, no.5, pp.1503-1516, 2021
  • M. Hao, D. Ye, S. Wang, B. Tan and R. Yu, "URLLC resource slicing and scheduling for trustworthy 6G vehicular services: A federated reinforcement learning approach", Physical Communication, vol.49, pp.101470, 2021
  • X. Huang, P. Li, R. 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.
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