已发表论文

[1]  Z. Zhang, R. Wang, F. Richard Yu, F. Fu*, and Q. Yan, “QoS Aware Transcoding for Live              Streaming in Edge-Clouds Aided HetNets: An Enhanced Actor-Critic Learning Approach,” IEEE Transactions on Vehicular Technology, vol. 68, no. 11, pp. 11295-11308, Nov. 2019. (SCI, IF=6.8，第一作者)

[2]  Z. Zhang, Q. Zhang, J. Miao*, F. Richard Yu, F. Fu, and T. Wu, “Energy-Efficient Secure Video Streaming in UAV-Enabled Wireless Networks: A Safe-DQN Approach,” IEEE Transactions on Green Communications and Networking, vol. 5, no. 4, pp. 1982-1905, Jun., 2021. (SCI，IF=4.82，第一作者)

[3]  Y. Guo, G. Xu, Z. Zhang*, et al., "Resource Block-Based Co-Design of Trajectory and Communication in UAV-Assisted Data Collection Networks," in IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 12, pp. 21585-21596, Dec. 2024. (SCI, 中科院一区，IF=7.9, 通信作者)

[4]  F. Fu, Y. Wang, S. Li, L. T. Yang, R. Zhao, Y. Dai, Z. Yang, and Z. Zhang*, “Incentive Mechanism Against Bounded Rationality for Federated Learning-Enabled Internet of UAVs: A Prospect Theory-Based Approach,” IEEE Internet of Things Journal, vol. 11, no. 12, pp. 20958-20969, Jun. , 2024. (SCI，中科院一区，IF=10.6，通信作者)

[5]  F. Fu, B. Xue, L. Cai, Laurence T. Yang, Z. Zhang*, J. Luo, and C. Wang, “ Live Traffic Video Multicasting Services in UAVs-assisted Intelligent Transport Systems: A Multi-Actor Attention Critic Approach,” IEEE Internet of Things Journal, vol. 10, no. 22, pp. 19740-19752, Nov. 2023. (SCI，中科院一区，IF=10.6，通信作者)

[6]  F. Fu, Y. Kang, Z. Zhang*, F. Richard Yu, and T. Wu, “Soft Actor-Critic DRL for Live Transcoding and Streaming in Vehicular Fog Computing-Enabled IoV,” IEEE Internet of Things Journal, vol. 8, no. 3, pp. 1308-1321, Jul. 2021. (SCI，中科院一区，IF=10.6，通信作者)

[7]  F. Fu, X. Wei, Z. Zhang*, Laurence T. Yang, L. Cai, J. Luo, and C. Wang, “AoI Minimization for UAV-assisted Internet of Things Networks: A Safe Actor-Critic with Policy Distillation Approach,” IEEE Transactions on Network Science and Engineering, vol. 11, no. 1, pp. 1265-1276, Jan. 2024.  (SCI，中科院二区TOP，IF=6.6，通信作者)

[8]  F. Fu, Z. Zhang*, F. Richard Yu, and Q. Yan, “An Actor-Critic Reinforcement Learning- based Resource Management in Mobile Edge Computing Systems,” International Journal of Machine Learning and Cybernetics, vol. 11, pp. 1875-1889, Feb. 2020. (SCI，中科院三区，IF=5.6，通信作者)

[9]  J. Luo, C. Qian, L. Tang, Z. Zhang, and Y. Li , “Trajectory Design and Bandwidth Allocation Considering Power-Consumption Outage for UAV Communication: A Machine Learning Approach,” IEEE Transactions on Industrial Informatics, vol. 20, no. 2, pp. 2519-2528, Feb. 2024. (SCI，中科院一区，IF=12.3)

[10]  Z. Zhang, C. -H. Lung, X. Wei, M. Chen, S. Chatterjee and Z. Zhang, “In-network Caching         for ICN-based IoT (ICN-IoT): A Comprehensive Survey,” IEEE Internet of Things Journal, vol. 10, no. 16, pp. 14595-14620, Aug. 2023. (SCI, 中科院一区，IF=10.6)

[11]  J. Du, W. Cheng, G. Lu*, H. Cao, X. Chu, Z. Zhang, and J. Wang, “Resource Pricing and   Allocation in MEC Enabled Blockchain Systems: An A3C Deep Reinforcement Learning Approach,” IEEE Transactions on Network Science and Engineering, vol. 9, no. 1, pp. 33-44, Jan., 2022. (SCI，中科院二区TOP，IF=6.6)

[12] J. Luo, C. Qian, L. Tang, Z. Zhang, and Y. Li, “Adaptive Resource Allocation Considering Power-Consumption Outage: A Deep Reinforcement Learning Approach,” IEEE Transactions on Vehicular Technology, vol. 72, no. 6, pp. 8111 - 8116 , 2023. (SCI, 中科院二区，IF=6.8)

[13] Z. Zhang, X. Wei, and Z. Zhang, “A Prediction-based Traffic Scheduling Framework for Multimedia Services in Dynamic Networks,” IEEE Communications Letters, vol. 28, no. 3, pp. 727-731, Mar. 2024. (SCI, 中科院二区，IF=4.1)

[14]  Z. Zhang, F. Richard Yu, F. Fu, Q. Yan, and Z. Wang, “Joint Offloading and Resource Allocation in Mobile Edge Computing Systems: An Actor-Critic Approach,” in Proc. IEEE Globecom’18, Abu Dhabi, UAE, Dec. 2018. (CCF-C)

[15]  Z. Zhang, R. Wang, F. Richard Yu, F. Fu, Q. Yan, and Q. Jiao, “QoE Aware Transcoding for Live Streaming in SDN-based Cloud-aided HetNets: An Actor-Critic Approach,” in Proc. IEEE ICC’19 Workshops, Shanghai, P.R. China, May 2019. (CCF-C)

[16]  Q. Zhang, J. Miao, Z. Zhang, F. Richard Yu, and F.Fu “Safe DQN-based Scalable Video Coding (SVC) Streaming Secure Transmission in UAV Systems” in Proc. IEEE Globecom’20, Taipei, China, Dec. 2020 (Best paper award). (CCF-C)

[17]  F. Fu, Y. Kang, Z. Zhang, F. Richard Yu, and T. Wu, “Transcoding for Live Streaming-based on Vehicular Fog Computing: An Actor-Critic DRL Approach”, in Proc. IEEE INFOCOM’20 workshop, Toronto, Canada, July 2020. (CCF-A)

[18] F. Fu, Q. Jiao, F. Richard Yu, Z. Zhang, and J. Du, “Securing UAV-to-Vehicle Communications: A Curiosity-Driven Deep Q-learning Network (C-DQN) Approach”, in Proc. IEEE ICC workshop’21, Montreal, Canada, June 2021. (CCF-C)

[19]  J. Luo, F. Richard Yu, Q. Chen, T. Lun, and Z. Zhang, “Adaptive Video Streaming in Software-defined Mobile Networks: A Deep Reinforcement Learning Approach,” in Proc. IEEE Globecom'19, Waikoloa, HI, Dec. 2019. (CCF-C)

[20]  K. Li, Z. Zhang*, and F. Fu, “An Incentive Mechanism for Consortium Blockchain-based Cross-Silo Federated Learning,” in Proc. IEEE ICPADS, Ocean Flower Island, Hainan, China, Dec. 2023. (CCF-C)

[21] Y. Li, Z. Zhang*, F. Fu, and Y. Wang, “A PPO-Based Dynamic Asynchronous Semi-Decentralized Federated Edge Learning,” in Proc. IEEE ICPADS, Ocean Flower Island, Hainan, China, Dec. 2023. (CCF-C)

[22] F. Fu, Y. Wang, Z. Zhang, and Y. Li, “Prospect Theory-Based Federated Learning Incentive Mechanism for Industrial IoT,” 2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS), Ocean Flower Island, China, Dec. 2023. (CCF-C)

[23] P. Wu, Z. Li, Z. Zhang, T. Yan, and L. Chen, “Three Preemption Approaches towards EDF Scheduling for Homogeneous Multiprocessors,” 2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS), Ocean Flower Island, China, Dec. 2023. (CCF-C)