Journal Papers
  • [1]
    S. Wang, B. Tan, and R. Yu, "Reputation-based Blockchain Sharding with Spectral Clustering and Incentive Mechanism for 6G Internet of Things", accepted by  Security and Communication Networks
  • [2]
    P. Li, Y. Zhong, C. Zhang, Y. Wu, and R. Yu, "FedRelay: Federated Relay Learning for 6G Mobile Edge Intelligence", accepted by IEEE Transactions on Vehicular Technology.
  • [3]
    X. Wang, Z. Huang, S. Zheng, R. Yu, M. Pan, "The Unpredictability of Digital Twin for Connected Vehicles", accepted by China Communications.
  • [4]
    D. Shi, Liang Li, M. Wu, M. Shu, R. Yu, M. Pan and Z. Han, "To Talk or to Work: Dynamic Batch Sizes Assisted Time Efficient Federated Learning over Future Mobile Edge Devices", IEEE Transactions on Wireless Communications, July. 2022
  • [5]
    Z. Li, W. Su, M. Xu, R. Yu, D. Niyato, S. Xie, "Compact Learning Model for Dynamic Off-Chain Routing in Blockchain-Based IoT", IEEE Journal on Selected Areas in Communications , Oct. 2022.
  • [6]
    X. Huang, Y. Zhong, Y. Wu, P. Li, R. Yu, "Privacy-Preserving Incentive Mechanism for Platoon Assisted Vehicular Edge Computing with Deep Reinforcement Learning", China Communications, vol. 19, no. 7, pp. 294-309, July. 2022.
  • [7]
    W. Zhong, X. Huang, Y. Wu, R. Yu, J. Kang, "Decentralized Energy Management for Wireless Power Transfer Assisted Platoon Autonomous Driving: A Leader-to-Follower Approach", IEEE Transactions on Green Communications and Networking, April. 2022.
  • [8]
    D. Ye, X. Huang, Y. Wu, R. Yu, "Incentivizing Semi-Supervised Vehicular Federated Learning: A Multi-Dimensional Contract Approach with Bounded Rationality", IEEE Internet of Things Journal, vol. 9, no. 19, pp. 18573-18588, Oct. 2022.
  • [9]
    S. Long, W. Wen, Z. Li, K. Li, R. Yu, J. Zhu, "A Global Cost-aware Container Scheduling Method in Cloud Data Centers", IEEE Transactions on Parallel and Distributed Systems, vol. 33, no. 11, pp. 2752-2766, Nov. 2022.
  • [10]
    M. Wu, D. Ye, C. Zhang, R. Yu, "Spears and Shields: Attacking and Defending Deep Model Co-Inference in Vehicular Crowdsensing Networks", EURASIP Journal on Advances in Signal Processing, Nov. 2022.
  • [11]
    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, 2020.
  • [12]
    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.
  • [13]
    X. Huang, P. Li, R. Yu, et al, "FedParking: A Federated Learning based Parking Space Estimation with Parked Vehicle assisted Edge Computing", IEEE Transactions on Vehicular Technology, vol. 70, no. 9, pp. 9355-9368, Sept. 2021.
  • [14]
    K. Liu, F. Ke, X. Huang, R. Yu, et al, "DeepBAN: A Temporal Convolution-based Communication Framework for Dynamic WBANs", IEEE Transactions on Communications, vol. 69, no. 10, pp. 6675-6690, Oct. 2021.
  • [15]
    X. Huang, R. Yu, D. Ye, et al., "Efficient Workload Allocation and User-centric Utility Maximization for Task Scheduling in Collaborative Vehicular Edge Computing", IEEE Transactions on Vehicular Technology, vol. 70, no. 4, pp. 3773-3787, April 2021.
  • [16]
    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, vol. 8, no. 13, pp. 10639-10651, July, 2021.
  • [17]
    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.
  • [18]
    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", IEEE Transactions on Network Science and Engineering, vol. 8, no. 2, pp. 1189-1201, April-June 2021.
  • [19]
    X. Huang, R. Yu, S. Xie, and Y. Zhang, "Task-Container Matching Game for Computation Offloading in Vehicular Edge Computing and Networks", IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 10, pp. 6242-6255, Oct. 2021.
  • [20]
    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.
  • [21]
    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.
  • [22]
    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.
  • [23]
    X. Li, Z. Xie, J. Ye, X. Tang, C. Li, F. Tang and R. Yu, "An Aggregate Flow Based Scheduler in Multi-task Cooperated UAVs Network", Chinese Journal of Aeronautics, vol. 33, no. 11, pp. 2989-2998, November 2020.
  • [24]
    D. Ye, R. Yu, M. Pan, and Z. Han, "Federated Learning in Vehicular Edge Computing: A Selective Model Aggregation Approach", IEEE Access, vol. 8, pp. 23920-23935, January 2020.
  • [25]
    J. Zhang, X. Huang and R. Yu, "Optimal Task Assignment with Delay Constraint for Parked Vehicle Assisted Edge Computing: A Stackelberg Game Approach", IEEE Communications Letters, vol. 24, no. 3, pp. 598-602, March 2020.
  • [26]
    X. Huang, F. Ke, R. Yu, Y. Liu and Y. Wu, "Preemptive and Non Preemptive Switching Protocols for 5G Wireless Dynamic Network Architecture", IEEE Transactions on Vehicular Technology, vol. 68, no. 12, pp. 12256-12270, Dec. 2019.
  • [27]
    X. Huang, P. Li and R. Yu, "Social Welfare Maximization in Container-Based Task Scheduling for Parked Vehicle Edge Computing", IEEE Communications Letters, vol. 23, no. 8, pp. 1347-1351, Aug. 2019.
  • [28]
    C. Li, S. Wang, X. Huang, X. Li, R. Yu, and F. Zhao, "Parked Vehicular Computing for Energy-Efficient Internet of Vehicles: A Contract Theoretic Approach", IEEE Internet of Things Journal, vol. 6, no. 4, pp. 6079-6088, Aug. 2019.
  • [29]
    J. Kang, R. Yu, X. Huang, M. Wu, S. Maharjan, X. Xie, Y. Zhang, "Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks", IEEE Internet of Things Journal, vol. 6, no. 3, pp. 4660-4670, June 2019.
  • [30]
    X. Li, X. Huang, C. Li, R. Yu and L. Shu, "EdgeCare: Leveraging Edge Computing for Collaborative Data Management in Mobile Healthcare Systems", IEEE Access, vol. 7, pp. 22011-22025, February 2019.
  • [31]
    Q. Zou, H. Zhang, C. Wen, S. Jin and R. Yu, "Concise Derivation for Generalized Approximate Message Passing Using Expectation Propagation", IEEE Signal Processing Letters,, vol. 25, no. 12, pp. 1835-1839, Dec. 2018.
  • [32]
    X. Huang, R. Yu, J. Liu and L. Shu, "Parked Vehicle Edge Computing: Exploiting Opportunistic Resources for Distributed Mobile Applications", IEEE Access, vol. 6, pp. 66649-66663, November 2018.
  • [33]
    S. M. Errapotu, H. Li, R. Yu, S. Ren, Q. Pei, M. Pan, Z. Han, "Clock Auction Inspired Privacy Preserving Emergency Demand Response in Colocation Data Centers", IEEE Transactions on Dependable and Secure Computing, vol. 17, no. 4, pp. 691-702, July-Aug. 2020.
  • [34]
    X. Huang, R. Yu, M. Pan and L. Shu, "Secure Roadside Unit Hotspot Against Eavesdropping Based Traffic Analysis in Edge Computing Based Internet of Vehicles", IEEE Access, vol. 6, pp. 62371-62383, September 2018.
  • [35]
    J. Kang, R. Yu, X. Huang and Y. Zhang, "Privacy-Preserved Pseudonym Scheme for Fog Computing Supported Internet of Vehicles", IEEE Transactions on Intelligent Transportation Systems,, vol. 19, no. 8, pp. 2627-2637, Aug. 2018.
  • [36]
    Z. Li, J. Kang, R. Yu, D. Ye, Q. Deng and Y. Zhang, "Consortium Blockchain for Secure Energy Trading in Industrial Internet of Things", IEEE Transactions on Industrial Informatics, vol. 14, no. 8, pp. 3690-3700, Aug. 2018.
  • [37]
    X. Huang, R. Yu, J. Kang, Z. Xia and Y. Zhang, "Software Defined Networking for Energy Harvesting Internet of Things", IEEE Internet of Things Journal, vol. 5, no. 3, pp. 1389-1399, June 2018.
  • [38]
    R. Yu, J. Ding, S. Maharjan, Stein Gjessing, Y. Zhang, and Dannny H.K. Tsang, "Decentralized and Optimal Resource Cooperation in Geo-distributed Mobile Cloud Computing", IEEE Transactions on Emerging Topics in Computing, vol. 6, no. 1, pp. 72-84, Jan.-March 2018.
  • [39]
    J. Kang, R. Yu, X. Huang, S. Maharjan, Y. Zhang and E. Hossain, "Enabling Localized Peer-to-Peer Electricity Trading Among Plug-in Hybrid Electric Vehicles Using Consortium Blockchains", IEEE Transactions on Industrial Informatics, vol. 24, no. 6, pp. 55-63, Dec. 2017.
  • [40]
    X. Huang, R. Yu, J. Kang and Y. Zhang, "Distributed Reputation Management for Secure and Efficient Vehicular Edge Computing and Networks", IEEE Access, vol. 5, pp. 25408-25420, November 2017.
  • [41]
    X. Huang, R. Yu, et al, "Software Defined Energy Harvesting Networking for 5G Green Communications",  IEEE Wireless Communications, vol. 24, no. 4, pp. 38-45, Aug. 2017.
  • [42]
    Y. Han, H. Zhang, S. Jin, X. Li, R. Yu, Y. Zhang, "Investigation of Transmission Schemes for Millimeter-Wave Massive MU-MIMO Systems", IEEE Systems Journal, vol. 11, no. 1, pp. 72-83, March 2017.
  • [43]
    R. Yu, J. Ding, X. Huang, M. Zhou, Y. Zhang, and S. Gjessing, "Optimal Resource Sharing in 5G-enabled Vehicular Networks: a Matrix Game Approach", IEEE Transactions on Vehicular Technology, vol. 65, no. 10, pp. 7844-7856, Oct. 2016.
  • [44]
    J. Kang, R. Yu, X. Huang, M. Jonsson, H. Bogucka, S. Gjessing, and Y. Zhang, "Location Privacy Attack and Defense in Cloud-Enabled Internet of Vehicles", IEEE Wireless Communications Magazine., vol. 23, no. 5, pp. 52-59, October 2016.
  • [45]
    X. Huang, R. Yu, J. Kang, N. Wang, S. Maharjan, Y. Zhang, "Software Defined Networking with Pseudonym Systems for Secure Vehicular Clouds", IEEE Access, vol. 4, pp. 3522-3534, April 2016.
  • [46]
    Y. Liu, R. Yu, M. Pan, Y. Zhang, S. Xie, "SD-MAC: Spectrum Database-Driven MAC Protocol for Cognitive Machine-to-Machine Networks", IEEE Transactions on Vehicular Technology, vol. 66, no. 2, pp. 1456-1467, Feb. 2017.
  • [47]
    C. Yang, W. Lou, Y. Fu, S. Xie, and R. Yu, "On Throughput Maximization in Multi-Channel Cognitive Radio Networks via Generalized Access Strategy", IEEE Transactions on Communications., vol. 64, no. 4, pp. 1384-1398, April 2016.
  • [48]
    S. Xie, W. Zhong, K. Xie, R. Yu, Y. Zhang, "Fair Energy Scheduling for Vehicle-to-Grid Networks using Adaptive Dynamic Programming", IEEE Transactions on Neural Networks and Learning Systems., vol. 27, no. 8, pp. 1697-1707, Aug. 2016.
  • [49]
    R. Yu, W. Zhong, S. Xie, C. Yuen, S. Gjessing, Y. Zhang, "Balancing Power Demand through EV Mobility in Vehicle-to-Grid Mobile Energy Networks", IEEE Transactions on Industrial Informatics, vol. 12, no. 1, pp. 79-90, Feb. 2016.
  • [50]
    R. Yu, W. Zhong, S. Xie, Y. Zhang, Y. Zhang, "QoS Differential Scheduling in Cognitive Radio Based Smart Grid Networks: An Adaptive Dynamic Programming Approach", IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 2, pp. 435-443, Feb. 2016.
  • [51]
    Y. Liu, C. Yuen, R. Yu, Y. Zhang, S. Xie, "Queuing-Based Energy Consumption Management for Heterogeneous Residential Demands in Smart Grid", IEEE Transaction on Smart Grid, vol. 7, no. 3, pp. 1650-1659, May 2016.
  • [52]
    R. Yu, J. Kang,X. Huang, S. Xie, Y. Zhang, and Stein Gjessing, "MixGroup: Accumulative Pseudonym Exchanging for Location Privacy Enhancement in Vehicular Social Networks", IEEE Transactions on Dependable and Secure Computing, vol. 13, no. 1, pp. 93-105, Jan./Feb. 2016.
  • [53]
    R. Yu, X. Huang, J. Kang, J. Ding, Sabita Maharjan, Stein Gjessing, Y. Zhang, "Cooperative Resource Management in Cloud-enabled Vehicular Networks", IEEE Transactions on Industrial Electronics, vol. 62, no. 12, pp. 7938-7951, Dec. 2015.
  • [54]
    J. Ding, R. Yu, Y. Zhang, Stein Gjessing, Danny H.K. Tsang, "Service Providers Competition and Cooperation in Cloud-based Software Defined Wireless Networks", IEEE Communications Magazine, vol. 53, no. 11, pp. 134-140, Nov. 2015.
  • [55]
    J. Kang, R. Yu, Y. Zhang, X. Huang, S. Xie, Hanna Bogucka, Stein Gjessing, "Toward Secure Energy Harvesting Cooperative Networks", IEEE Communications Magazine, vol. 53, no. 8, pp. 114-121, Aug. 2015.
  • [56]
    R. Yu, Y. Zhang, Y. Liu, Stein Gjessing, Mohsen Guizani, "Securing Cognitive Radio Networks against Primary User Emulation Attacks", IEEE Network Magazine, vol. 29, no. 4, pp. 68-74, Jul./Aug. 2015.
  • [57]
    Y. Liu, Y. Zhang, R. Yu, S. Xie, "Integrated Energy and Spectrum Harvesting for 5G Wireless Communications", IEEE Network Magazine, vol. 29, no. 3, pp. 75-81, May-June 2015.
  • [58]
    Y. Liu, C. Yuen, N. Ul Hassan, S. Huang, R. Yu, S. Xie, "Electricity Cost Minimization for a Microgrid With Distributed Energy Resource Under Different Information Availability", IEEE Transactions on Industrial Electronics, vol. 62, no. 4, pp. 2571-2583, April 2015.
  • [59]
    Y. Liu, Z. Yang, R. Yu, Y. Xiang, S. Xie, "An Efficient MAC Protocol with Adaptive Energy Harvesting for Machine-to-Machine Networks", IEEE Access, vol. 3, pp. 358-367, Apr. 2015.
  • [60]
    R. Yu, J. Ding, W. Zhong, Y. Liu, S. Xie, "PHEV Charging and Discharging Cooperation in V2G Networks: A Coalition Game Approach", IEEE Internet of Things Journal, vol. 1, no. 6, pp. 578-589, Dec. 2014.
  • [61]
    X. Zhang, R. Yu, Y. Zhang, W. Wang, Mohsen Guizani, "Energy-Efficient Multimedia Transmissions through Base Station Cooperation over Heterogeneous Cellular Networks (HCN) Exploiting User Behavior", IEEE Network Magazine, vol. 21, no. 4, pp. 54-61, Aug. 2014.
  • [62]
    Q. Guo, R. Yu, Y. Zhang, "Last-Mile Communication Solutions for China Southern Power Grid", IEEE COMSOC MMTC E-Letter, Vol. 9, No. 4, pp. 29-33, July 2014.
  • [63]
    Y. Zhang, R. Yu, Stein Gjessing, "Machine-to-Machine (M2M) Communications for Smart Grid", IEEE COMSOC MMTC E-Letter, Vol. 9, No. 4, pp. 12-16, July 2014.
  • [64]
    J. Yang, S. Xie, X. Zhou, R. Yu, Y. Zhang, "A Semiblind Two-Way Training Method for Discriminatory Channel Estimation in MIMO Systems", IEEE Transactions on Communications, vol. 62, no. 7, pp. 2400-2410, July 2014.
  • [65]
    R. Yu, C. Zhang, X. Zhang, L. Zhou, K. Yang, "Hybrid Spectrum Access in Cognitive Radio Based Smart Grid Communications Networks", IEEE Systems Journal, vol. 8, no. 2, pp. 577-587, June 2014.
  • [66]
    X. Zhang, Y. Zhang, R. Yu, W. Wang, Guizani M, "Enhancing spectral-energy efficiency for LTE-advanced heterogeneous networks: a users social pattern perspective", IEEE Wireless Communications, vol. 21, no. 2, pp. 10-17, April 2014.
  • [67]
    Y. Liu, S. Xie, R. Yu, Y. Zhang, C. Yuen, "An Efficient MAC Protocol with Selective Grouping and Cooperative Sensing in Cognitive Radio Networks", IEEE Transactions on Vehicular Technology, vol.62, no.8, pp.3928-3941, Oct. 2013.
  • [68]
    R. Yu, Y. Zhang, Stein Gjessing, W. Xia, K. Yang, "Toward Cloud-based Vehicular Networks with Efficient Resource Management", IEEE Network Magazine, vol. 27, no. 5, pp. 48-55, Sep/Oct. 2013.
  • [69]
    H. Lai, Y. Pan, Y. Tang, R. Yu, "FSMRank: A Feature Selection Algorithm for Learning-to-Rank", IEEE Transactions on Neural Networks and Learning Systems, vol.24, no.6, pp.940-952, June 2013.
  • [70]
    C. Yang, Y. Fu, Y. Zhang, S. Xie, R. Yu, "Energy-Efficient Hybrid Spectrum Access Scheme in Cognitive Vehicular Ad hoc Networks", IEEE Communications Letters, vol.17, no.2, pp.329-332, February 2013.
  • [71]
    Y. Zhang, R. Yu, M. Nekovee, Y. Liu, S. Xie, S. Gjessing, "Cognitive Machine-to-Machine Communications: Visions and Potentials for the Smart Grid", IEEE Network Magazine, vol.26, no.3, pp.6-13, May/June 2012.
  • [72]
    R. Yu, Y. Zhang, Y. Liu, S. Xie, L. Song, Mohsen Guizani, "Secondary Users Cooperation in Cognitive Radio Networks: Balancing Sensing Accuracy and Efficiency", IEEE Wireless Communications Magazine, vol.19, no.2, pp.2-9, Apr. 2012.
  • [73]
    R. Yu, Y. Zhang, Stein Gjessing, Y. Chau, S. Xie, Mohsen Guizani, "Cognitive Radio based Hierarchical Communication Architecture for Smart Grid", IEEE Network Magazine, vol.25, no.5, pp.6-14, Sept./Oct. 2011. (WUN CogCom Best Paper Award)
  • [74]
    Y. Zhang, R. Yu, S. Xie, W. Yao, Y. Xiao, M. Guizani , "Home M2M networks: Architecture, Standards and QoS improvements", IEEE Communications Magazine, vol.49, no.4, pp.44-52, Apr. 2011.
  • [75]
    S. Xie, Y. Liu, Y. Zhang, R. Yu, "A Parallel Cooperative Spectrum Sensing in Cognitive Radio Networks", IEEE Transactions on Vehicular Technology, vol.59, no. 8, pp.4079 – 4092, Oct. 2010.
粤ICP备16006045号-1 | 版权所有©RongYu