物理与信息工程学院

郑海峰

教授，系(中心)主任

郑海峰，博士，教授，博士生导师。现任福州大学物理与信息工程学院通信系主任，中国图象图形学学会图像视频通信专业委员会委员，中国通信期刊编委，福建省高层次人才。主要研究方向为智能物联网、车联网、6G/通感一体化、具身智能感知与决策、张量理论及其应用等。2014年博士毕业于上海交通大学通信与信息系统专业，2015-2016年在美国纽约州立大学布法罗分校从事访问学者研究工作。主持国家自然科学基金面上项目、福建省科技重大专项、福建省自然科学基金等项目，参与国家自然科学基金重点项目、仪器专项及973 计划（子课题）等项目的研究工作。在包括IEEE ToN、TII、IoT、TPDS、TWC、TSMC-S、TITS、 INFOCOM, GLOBECOM, ICC等国内外知名期刊和重要学术会议上发表SCI/EI学术论文100余篇，5篇论文入选ESI热点/高被引论文，入选2024年“全球前2%顶尖科学家”榜单。

招生：博士生、硕士生（信息与通信工程、新一代电子信息）
研究方向：智能物联网、车联网、6G/通感一体化、具身智能感知与决策、张量理论及其应用
联系方式：zhenghf@fzu.edu.cn

学术兼职：
1. 中国图象图形学会视频图像通信专委会委员
2. 福建省通信学会无线通信与智能感知专委会秘书长
3.《中国通信》期刊（SCI）编委
4. IEEE高级会员、中国通信学会高级会员、中国图象图形学学会高级会员、CCF会员

主持或参加科研项目情况：
1. 福建省科技重大专项，面向自主无人系统的高端智能控制器研发与产业化应用，2022/09-2025/08，在研，主持。
2. 国家自然科学基金面上项目，面向边缘计算的车联网信息高效融合处理机制与协同分析方法研究，2020/01-2023/12，主持。
3. 国家自然科学基金面上项目，面向群智感知车联网的高效信息获取与处理技术研究，2016/01-2019/12，主持。
4. 国家自然科学基金促进海峡两岸科技合作联合基金，安全和高效的异构车联网融合理论与海量数据分析方法研究，2015/01-2018/12，参与。
5. 国家自然科学基金青年项目，群智感知车联网中的用户激励和任务分配机制研究，2017/01-2019/12，参与。
6. 福建省自然科学基金面上项目，基于压缩感知的无线传感器网络信息获取与传输机制研究，2013/01-2015/12，主持。
7. 基于5G通信的分布式机器人管理系统，2020/12-2022/12，横向项目，主持。
8. 一种基于自适应杠杆抽样的WiFi室内定位方法，2021/06-2023/6，横向项目，主持。

论文发表:
1.M. Du, H. Zheng*, M. Gao, X. Feng, J. Hu, Y. Chen. Integrated sensing, communication and computation for over-the-air federated learning in 6G wireless networks. IEEE Internet of Things Journal, 2024.(SCI 1区)
2.M. Gao, H. Zheng*, M. Du, X. Feng.Multimodal Fusion With Block Term Decomposition for Asynchronous Federated Learning. IEEE Transactions on Industrial Informatics, 2024.(SCI 1区)
3.Q. Lai, H. Zheng*, X. Feng, M. Zheng, H. Chen, W. Chen. RTONet: Real-Time Occupancy Network for Semantic Scene Completion. IEEE Robotics and Automation Letters, 2024.(SCI 2区)
4.X. Feng, H. Sun, S. Liu, J. Guo, H. Zheng*. Federated Meta-Learning on Graph for Traffic Flow Prediction.IEEE Transactions on Vehicular Technology, 2024.(SCI 2区)
5.Y. Chen, Y. Zheng, J. Xu, H. Lin, P. Cheng, M. Ding, X. Wang, J. Hu, H. Zheng. Knowledge-Assisted Resource Allocation With Domain Adversarial Neural Networks. IEEE Transactions on Network and Service Management, 2024.(SCI 2区)
6.J. Hu, Y. Zhou, H. Zheng, Y. Chen, F. Shu, J. Wang. Minimizing Vulnerable Region for Near-Field Covert Communication. IEEE Transactions on Vehicular Technology, 2024.(SCI 2区)
7.Y. Ye, Y. Chen, J. Yang, M. Ding, P. Cheng, H. Zheng. FedHelo: Hierarchical Federated Learning with Loss-Based-Heterogeneity in Wireless Networks.IEEE Transactions on Network Science and Engineering, 2024.(SCI 2区)
8. M. Du, H. Zheng*, M. Gao and X. Feng. Adaptive Decentralized Federated Learning in Resource-Constrained IoT Networks.
IEEE Internet of Things Journal, 2023.(SCI 1区)
9. L. Deng, H. Zheng*, X-Y. Liu, X. Feng and Z. Chen. Graph-Tensor Neural Networks for Network Traffic Data Imputation. IEEE Transactions on Networking, 2023.(SCI 2区)
10. P. Xu, L. Liu, Y. Jia, H. Zheng*, C. Xu and L. Xue*, A Refinement Boosted and Attention Guided Deep FISTA Reconstruction Framework for Compressive Spectral Imaging.IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-12, 2023.(SCI 1区)
11. M. Zheng; L. Luo; H. Zheng*; Z. Ye; Z. Su, A Dual Encoder-Decoder Network for Self-Supervised Monocular Depth Estimation. IEEE Sensors Journal, vol.23, no.17, pp. 19747-19756, Sept. 2023.(SCI 2区)
12. X. Feng, Y. Weng, W. Li, P. Chen, H. Zheng*, DAMUN: A Domain Adaptive Human Activity Recognition Network Based on Multimodal Feature Fusion. IEEE Sensors Journal, vol.23, no.18, pp. 22019-22030, Sept. 2023.(SCI 2区)
13.M. Du, H. Zheng*, X. Feng, Y. Chen and T. Zhao. Decentralized Federated Learning with Markov Chain Based Consensus for Industrial IoT Networks. IEEE Transactions on Industrial Informatics, vol.19, no.4, pp. 6006-6015, April. 2023. (SCI 1区)
14. N. Jiang, J. Lin, T. Zhang, H. Zheng and T. Zhao, Low-Light Image Enhancement via Stage-Transformer-Guided Network. IEEE Transactions on Circuits and Systems for Video Technology, 2023.(SCI 1区)
15. J. Hu, X. Shi, Y. Chen, H. Zheng and F. Shu, Multiple Antennas-Based Secure Communications With Channel Inversion Power Control. IEEE Wireless Communications Letters, vol. 11, no. 4, pp. 781-785, April 2022.(SCI 2区)
16. X. Liu, B. Xu, K. Zheng, and H. Zheng. Throughput Maximization of Wireless-Powered Communication Network with Mobile Access Points. IEEE Transactions on Wireless Communications, July. 2022.(SCI 1区)
17.X. Shen, H. Zheng*, X. Feng and J. Hu, ML-HGR-Net: A Meta-Learning Network for FMCW Radar Based Hand Gesture Recognition. IEEE Sensors Journal, vol.22, no.11, June. 2022 (SCI 2区)
18.X. Feng， H. Zhang, C. Wang, and H. Zheng*. Traffic Data Recovery from Corrupted and Incomplete Observations via Spatial-Temporal TRPCA. IEEE Transactions on Intelligent Transportation Systems, vol.23, no.10, pp.17835-17848,Oct. 2022. (SCI 1区)
19.L. Deng, X-Y. Liu, H. Zheng*, X. Feng and Y. Chen. Graph Spectral Regularized Tensor Completion for Traffic Data Imputation. IEEE Transactions on Intelligent Transportation Systems, Aug. 2021. (SCI 1区)
20.J. Lin, Y. Chen*, H. Zheng, M. Ding, P. Cheng, L. Hanzo. A Data-driven Base Station Sleeping Strategy Based on Traffic Prediction. IEEE Transactions on Network Science and Engineering, 2021.(SCI 2区)
21.H. Zheng, M. Gao, Z. Chen*, and X. Feng. A Distributed Hierarchical Deep Computation Model for Federated Learning in Edge Computing. IEEE Transactions on Industrial Informatics, vol.17, no.12, pp.7946-7956, Dec. 2021. (SCI 1区)
22.H. Zheng, F. Lin, X. Feng* and Y. Chen. A Hybrid Deep Learning Model with Attention based Conv-LSTM Networks for Short-Term Traffic Flow Prediction. IEEE Transactions on Intelligent Transportation Systems, vol.22, No. 11, pp. 6910-6920, Nov. 2021. (SCI 1区)
23.K. Zheng, X. Liu, B. Wang, H.Zheng, K.Chi, and Y. Yuan. Throughput Maximization of Wireless-Powered Communication Networks: An Energy Threshold Approach. IEEE Transactions on Vehicular Technology, vol.70, no.2, pp. 1292-1306, Jan. 2021. (SCI 2区)
24.L. Deng, H. Zheng*, X-Y. Liu, X. Feng and Z. Chen*. Network Latency Estimation with Leverage Sampling for Personal Devices: An Adaptive Tensor Completion Approach. IEEE Transactions on Networking, 28(6)：2797-2808, Dec. 2020. (SCI 2区)
25.H. Zheng, M. Gao, Z. Chen*, X.-Y. Liu and X. Feng. An Adaptive Sampling Scheme via Approximate Volume Sampling for Fingerprint-based Indoor Localization. IEEE Internet of Things Journal, vol.6, no.2, pp. 2338-2353, Apr. 2019. (SCI 1区)
26.X. Feng, X. Ling, H. Zheng*, Z. Chen, Y. Xu. Adaptive Multi-Kernel SVM with Spatial-Temporal Correlation for Short-Term Traffic Flow Prediction. IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 6, pp. 2001-2013, June 2019. (SCI 2区)
27.H. Zheng, W. Guo, and N. Xiong*, A Kernel-Based Compressive Sensing Approach for Mobile Data Gathering in Wireless Sensor Network Systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol.48, no.12, pp.2315-2327, Dec. 2018. (SCI 1区)
28.H. Zheng, F. Yang, X. Tian, X. Gan, X. Wang and S. Xiao, Data Gathering with Compressive Sensing in Wireless Sensor Networks: A Random Walk Based Approach, IEEE Transactions on Parallel and Distributed Systems, 26(1), pp.35-44, Jan. 2015. (SCI 2区)
29.H. Zheng, S. Xiao, X. Wang, X. Tian and M. Guizani, Capacity and Delay Analysis for Data Gathering with Compressive Sensing in Wireless Sensor Networks, IEEE Transactions on Wireless Communications, 12(2), pp.917-927, Feb. 2013. (SCI 2区)

授权专利：
1.郑海峰，李家印，冯心欣，陈忠辉，移动无线传感器网络中基于核函数的压缩数据收集方法，申请日：2016.06.30，授权公告日：2019.06.07，中国，专利号：ZL 2016 1 0503784.9.
2.郑海峰、刘一鹏、冯心欣、陈忠辉，一种基于深度学习的短时交通流预测方法,申请日：2017.07.18，授权公告日：2019.08.09，中国，专利号：ZL 2017 1 0585474.0.
3.郑海峰、苗荣臻、林凯彤、冯心欣、魏宏安, 一种基于张量填充的城市交通流预测方法，申请日：2017.10.10，中国，申请号：20171093943.5，专利号：ZL 20171093943.5，授权公告日 2019.12.17
4.郑海峰、林凯彤、冯心欣、陈忠辉、魏宏安，一种基于时空约束的交通数据张量填充方法，申请日：2018.05.31，中国，申请号：201810543422.1，授权公告日：2021.11.05，中国，专利号：201810543422.1
5.郑海峰、李奥奇，李智敏、冯心欣，一种基于有损测量的生成模型的交通数据填充方法,申请日：2018.06.21，中国，申请号：201810643268.5. 授权公告日：2021.10.29，中国，专利号：ZL 201810643268.5.
6.郑海峰、林凯彤、陈晶晶、冯心欣、陈忠辉，一种基于张量填充的自适应群智感知系统数据收集方法, 申请日：2018.06.22, 中国，申请号：201810646991.9, 授权公告日：2021.8.31，中国，专利号：ZL 201810646991.9.
7.郑海峰、康文韬、邓雷、冯心欣，一种基于自适应杠杆抽样的WiFi室内定位方法，申请号：201810582754.0，申请日：2018.06.07，授权公告日：2020.11.10，中国，专利号：ZL 2018 1 0582754.0.
8.郑海峰、李智敏、林凯彤、冯心欣、陈忠辉，一种基于生成式对抗网络的交通数据填充方法，申请日：2018.05.22，中国，申请号：201810496222.5, 授权公告日：2021.8.31，中国, 专利号：ZL201810496222.5
9.郑海峰，邓雷，胡雅英，冯心欣，基于杠杆采样的网络时延估计方法，申请日：2019.11.27，中国，申请号：201911179577.2, 授权公告日：2021.6.22，中国, 专利号：ZL201911179577.2