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黄旭民

硕士生导师
教师拼音名称:huangxumin
出生日期:1990-05-27
入职时间:2021-07-12
所在单位:自动化学院
性别:男
联系方式:广东工业大学工学二号馆426室
职称:副教授
在职信息:在职
所属院系:自动化学院
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个人简介

中共党员,博士,硕士生导师,广东工业大学特聘副教授。本硕博、博士后均毕业/工作于广东工业大学自动化学院,挪威奥斯陆大学、澳门大学访问学者。主要从事车联网研究,合著学术论文40余篇,论文被引用次数累计达 2700 多次(Google Citation),最佳会议论文奖4项,主持或参与多个国家省部级项目,获广东省青年优秀人才国际培养计划博士后项目资助,担任2022 ICDCS workshop,2022 IEEE EUC等多个国际会议的chair,2021 VTC, 2022 VTC, 2022 WCNC等多个国际主流会议的TPC成员,China Communications、MDPI Energies等期刊特邀编辑,《计算机工程》(北大中文核心期刊)青年编委。学生阶段曾获本科/硕士/博士研究生国家奖学金、全国高校首批百名研究生党员标兵、2018年中国大学生自强之星和广东工业大学优秀毕业生等称号。


发表超过 40 篇 SCI/EI 论文,以前三作者身份与他人合作发表 30多 篇 IEEE 期刊杂志,入选 ESI 热点论文 2 篇, ESI 高被引论文 3 篇, 以第一作者或通讯作者身份发表 16 篇 SCI 高水平论文, 12篇 SCI 一、二区,获4项国际会议最佳论文奖。代表作论文如下所示:

期刊论文(30+ IEEE Journals and Magazines):

J1.      X. Huang 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, 2021.

J2.      X. Huang et al. 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, 2021.

J3.      X. Huang 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, 2021.

J4.      X. Huang et al. Toward Efficient Data Trading in AI Enabled Reconfigurable Wireless Sensor Network using Contract and Game Theories. IEEE Transactions on Network Science and Engineering, vol. 9, no. 1, pp. 98-108, 2022.

J5.      B. Li, K. Xie, X. Huang(*Corresponding author), Y. Wu and S. Xie. Deep Reinforcement Learning based Incentive Mechanism Design for Platoon Autonomous Driving with Social Effect. IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2022.3164656.

J6.      X. Huang et al. Software Defined Networking for Energy Harvesting Internet of Things. IEEE Internet of Things Journal, vol. 5, no. 3, pp. 1389-1399, 2018.

J7.      X. Huang et al. Exploring Mobile Edge Computing for 5G-Enabled Software Defined Vehicular Networks. IEEE Wireless Communications, vol. 24, no. 6, pp. 55-63, 2017.

J8.      X. Huang et al. Software Defined Energy Harvesting Networking for 5G Green Communications. IEEE Wireless Communications, vol. 24, no. 4, pp. 38-45, 2017.

J9.      X. Huang et al. 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, 2020.

J10.   X. Huang et al. Social Welfare Maximization in Container-Based Task Scheduling for Parked Vehicle Edge Computing. IEEE Communications Letters, vol. 23, no. 8, pp. 1347-1351, 2019.

J11.   C. Peng, X. Huang(*Corresponding author), et al. Constrained Multi-Objective Optimization for UAV-Enabled Mobile Edge Computing: Offloading Optimization and Path Planning. IEEE Wireless Communications Letters, vol. 11, no. 4, pp. 861-865, April 2022. 

J12.   D. Ye, X. Huang, Y. Wu, et al. Incentivizing Semisupervised Vehicular Federated Learning: A Multidimensional Contract Approach With Bounded Rationality. IEEE Internet of Things Journal, doi: 10.1109/JIOT.2022.3161551.

J13.   W. Zhong, X. Huang, Y. Wu, R. Yu and 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, doi: 10.1109/TGCN.2022.3164967.

J14.   R. Yu, X. Huang, et al. Cooperative Resource Management in Cloud-Enabled Vehicular Networks. IEEE Transactions on Industrial Electronics, vol. 62, no. 12, pp. 7938-7951, 2015.

J15.   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,

J16.   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. 13, no. 6, pp. 3154-3164, Dec. 2017.  (ESI highly cited paper and ESI hot paper)

J17.   J. Kang, R. Yu, X. Huang, et al. 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. (ESI highly cited paper and ESI hot paper)

J18.   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. (ESI highly cited paper)

J19.   S. Wang, D. Ye, X. Huang, R. Yu, Y. Wang and 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, 1 April-June 2021.

J20.   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.

会议论文(4 Best Paper Awards)

C1. X. Huang, W. Zhong, J. Nie, et al. Joint Parking and Power Management for Electric Vehicle Edge Computing: A Bilevel Optimization Approach. The 18th International Wireless Communications and Mobile Computing Conference (IWCMC 2022), Dubrovnik, 2022. (Best Paper Award)

C2.   X. Huang, R. Yu, J. Kang, J. Ding, S. Maharjan, S. Gjessing and Y. Zhang, "Dynamic Resource Pricing and Scalable Cooperation for Mobile Cloud Computing", 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), Beijing, 2015, pp. 786-792. (Best Paper Award)

C3.   R. Yu, X. Huang, J. Kang, C. Yuen, A. Vinel, M. Jonsson, S. Gjessing and Y. Zhang, "An Optimal Replenishment Strategy in Energy Harvesting Wireless Networks with A Mobile Charger", 2015 11th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QSHINE), Taipei, 2015, pp. 433-439. (Best Paper Award)

C4.   J. Kang, R. Yu, X. Huang, S. Maharjan and Y. Zhang, "On-demand Pseudonym Systems in Geo-distributed Mobile Cloud Computing", 3rd IEEE International Conference on Cyber Security and Cloud Computing (IEEE CSCLOUD), 2016. (Best Student Paper Award)

C5.  P. Li, X. Huang, M. Pan and R. Yu, "FedGreen: Federated Learning with Fine-Grained Gradient Compression for Green Mobile Edge Computing," 2021 IEEE Global Communications Conference (GLOBECOM), 2021, pp. 1-6.

C6.   T. Wang, X. Huang, Y. Song, Y. Wu, L. Qian and B. Lin. Energy Optimization for NOMA assisted Federated Learning with Secrecy Provisioning. 2021 IEEE/CIC International Conference on Communications in China (ICCC), 2021, pp. 1189-1194.

C7.   X. Huang, J. Kang, et al. A Hierarchical Pseudonyms Management Approach for Software-Defined Vehicular Networks. 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), Nanjing, 2016, pp. 1-5.

 

主持或参与项目:

(1)国家自然科学基金委员会,青年科学基金项目,62001125,基于停泊车辆协同优化的车联网边缘计算资源管理研究,2021-01-01至2023-12-31,在研,主持

(2)中国博士后科学基金会,面上项目, 2020M672535,基于停泊车辆协同优化的车联网边缘计算资源管理研究,2020-01至2021-07,结题,主持

(3)智能检测与制造物联教育部重点实验室(广东工业大学),开放性课题,车联网边缘计算中的资源管理与服务优化研究,2020.1-2020.12,结题,主持

(4)国家自然科学基金委员会,面上项目,62172111,基于5G网络和车路协同的多传感器鲁棒融合定位方法研究,2022-01-01至2025-12-31,在研,参与

(5)国家自然科学基金委员会,面上项目,61971148,车联网边缘智能的资源优化与服务协同研究,2020-01-01至2023-12-31,在研,参与

(6)国家自然科学基金委员会,面上项目,62071132,基于张量网络表征的机器学习理论与算法研究,2021-01-01至2024-12-31,在研,参与


本人所在的课题组主要研究信息物理系统(包括车联网、人工智能、区块链、智能电网等)中的优化与决策,欢迎各界专家学者交流合作,也欢迎对本课题感兴趣的本/硕/博同学加入。

教育经历

[1] 2013.9——2019.7
广东工业大学 > 控制科学与工程 > 工学博士学位 > 博士研究生毕业
[2] 2009.9——2013.7
广东工业大学 > 自动化 > 工学学士学位 > 本科

工作经历

[1] 2021.7-至今
广东工业大学 > 自动化学院 > 副教授
[2] 2019.7-2021.6
广东工业大学 > 自动化学院 > 博士后
[3] 2020.12-2021.11
澳门大学 > 计算机与信息科学系 > 访问学者
[4] 2019.12-2020.2
挪威奥斯陆大学 > 信息学系 > 访问学者

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