熟女探花

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Language: ENGLISH 宁波大学

教师名录

熟女探花 师资队伍 / 教师名录 / 通信 / 正文

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                        姓名:郑侃      职称: 教授
                        联系方式: [email protected]
                        研究方向: 车联网、6G

近五年主要科研成果:

一、学术论文:

[1] K Zheng, J Mei, H Yang, L Hou, S Ma, “Digital Retina for IoV Towards 6G: Architecture, Opportunities, and Challenges,” IEEE Network, vol. 38, no. 2, pp. 62-69, March, 2024.

[2] H Shen, L Zhao, K Zheng, Y Cao, P Fan, “An Adaptive CSI Feedback Model Based on BiLSTM for Massive MIMO-OFDM Systems,” IEEE Internet of Things Journal, vol. 11, no. 20, pp. 62-69, pp. 33980-33993, October, 2024.

[3] K Zheng, H Yang, X Xiong, J Mei, L Hou, K Zhang,“Dynamic beam-based random access scheme for M2M communications in massive MIMO systems,” IEEE Transactions on Vehicular Technology, vol. 72, no.11, pp.14531-14542. 2023.

[4] K Zheng, H Yang, Z Ying, P Wang, L Hanzo, “Vision-assisted millimeter-wave beam management for next-generation wireless systems: Concepts, solutions, and open challenges,” IEEE Vehicular Technology Magazine, vol.18, no.3, pp. 58-68, 2023.

[5] Z Liu, K Zheng, L Hou, H Yang, K Yang, “A novel blockchain-assisted aggregation scheme for federated learning in IoT networks,” IEEE Internet of Things Journal, vol.10, no.19, pp.17544-17556, 2023.

[6] K Zheng, H Yang, S Liu, K Zhang, L Lei, “A behavior decision method based on reinforcement learning for autonomous driving,” IEEE Internet of Things Journal, vol. 9, no.24, pp. 25386-25394, 2022.

[7] Q Zhou, K Zheng, K Zhang, L Hou, X Wang, “Vulnerability analysis of smart contract for blockchain-based IoT applications: A machine learning approach,” IEEE Internet of Things Journal, vol. 9, no. 24, pp. 24695-24707, 2022.

[8] P Gao, L Zhao, K Zheng, P Fan, “Min-max latency optimization based on sensed position state information in internet of vehicles,” IEEE Transactions on Vehicular Technology, vol.71, no.7, pp.7985-7990, 2022.

[9] L Lei, T Liu, K Zheng, L Hanzo, Deep reinforcement learning aided platoon control relying on V2X information,” IEEE Transactions on Vehicular Technology, vol. 71, no.6, pp. 5811-5826, 2022.

[10] Z Liu, L Hou, K Zheng, Q Zhou, S Mao “ A DQN-based consensus mechanism for blockchain in IoT networks,” IEEE Internet of Things Journal, vol. 9, no. 14, pp. 11962-11973, 2021.

二、项目课题:

[1] 国家自然科学基金/面上项目,面向协同驾驶的车联网通信与控制联合优化理论及方法,62471262,2025.1-2028.12,主持.

三、获奖情况:

1. 2021年 IEEE Internet of Things Journal Paper Runner-Up Award