[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. (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, June, 2021. (IF=4.82,第一作者)

[3] 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. 2020.（IF=10.6，通信作者）

[4] 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, 2023. (IF=10.6，通信作者)

[5] 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. (IF=5.6，通信作者)

[6] 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, 2023. (IF=12.3)

[7] Z. Zhang, C.-H. Lung, X. Wei, M. Chen, S. Chatterjee andZ. Zhang, “In-network Caching for ICN-based IoT (ICN-IoT): A Comprehensive Survey,” in IEEE Internet of Things Journal, 2023. (IF=10.6)

[8] 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. (IF=6.6)

[9] 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, 2023. (IF=6.8)

[10]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.

[11]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.

[12] 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 (Best paper award).

[13] 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.

[14] 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.

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