一、个人简介

黄翀，男，中山大学柔性电子学院副教授，博士生导师。在英国拉夫堡大学和英国萨里大学先后攻读硕士和博士学位，师从英国皇家工程院院士、IEEE Fellow Jonathon A. Chambers 教授，英国皇家工程院院士、IEEE Fellow Rahim Tafazolli教授，和国家高层次人才计划入选者陈高洁教授。曾任英国萨里大学5G/6G创新中心高级研究员。申请人在无线通信领域的研究成果得到了同行的广泛认可，在高水平期刊和会议发表论文超过60篇，合著6G白皮书、AI白皮书共2部，共同撰写3章书籍，获得2025年IEEE旗舰会议Globecom最佳论文奖和2023年IEEE旗舰会议IECON最佳论文、2025年萨里大学年度研究员奖、2024年IEEE Wireless Communications Letters和IEEE Communications Letters模范审稿人、中国国家留学基金管理委员会2021年度“国家优秀自费留学生奖”A类，担任2026 EAI ChinaCom大会主席，2026 ACEISC组委会成员，2026 ICCCS、2026 ICTC、2025 ICCBN等会议的分会主席，其他通信类会议如ICC、VTC等的TPC成员。

 

邮箱: huangch277@mail.sysu.edu.cn

 

二、研究领域

智能化无线通信、人工智能赋能智能系统、空天地网络、卫星通信、柔性电子赋能智能化通信系统、语义通信、无人机通信、绿色和可持续通信、智能反射面、协作网络、隐蔽通信、物理层安全。

 

三、教育与学术工作背景

2026.03-至今，中山大学柔性电子学院，副教授(博士生导师)

2022.09-2026.02，英国萨里大学，高级研究员/高级讲师级(Senior Research Fellow/Senior Lecturer level)

2019.02-2022.09，英国萨里大学，通信与信息系统，博士

2014.09-2015.12，英国拉夫堡大学，移动通信，硕士

2007.09–2011.06，南京邮电大学，通信工程，学士

 

四、招生招聘信息

科研团队位于中山大学深圳校区，常年招收博士后、博士研究生、硕士研究生、研究助理，欢迎相应方向的同学报考和加入。研究方向主要有无线通信领域、人工智能领域、柔性电子赋能智能化通信领域等，包括卫星通信、空天地网络、无人机、语义通信、人工智能、大模型、柔性天线、安全通信、绿色通信、可持续6G发展等方向。团队经费充足、资源丰富。同时欢迎访问学者和联合培养学生报名，并和许多海外科研团队合作，有海外深造和访问推荐机会。

 

五、部分代表论文

  1. P. Miao, X. Xu, H. Hu, C. Huang, Y. Yao and G. Chen, " Secure Visible Light Communications for Unmanned Aerial Vehicles in the Presence of Blockage-induced Shadow" in IEEE Transactions on Communications, Accept.
  2. J. Li, J. Cui, C. Huang, J. Zhu, Z. Chu, M. Chen, P. Xiao and R. Tafazolli,, " Hybrid Bit and Semantic Communications for UAV-Enabled Wireless Power Transfer Networks: A Decision-Assisted Deep Reinforcement Learning Approach in IEEE Journal on Selected Areas in Communications, Accept.
  3. Y. Zou, H. Ding, J. Li, C. Huang, P. Xiao and G. Gui, "Enhanced Two-Stage Sparse Bayesian Learning Algorithm for Multi-Vehicle Precise Detection and Localization with MIMO-FMCW Radar," in IEEE Sensors Journal, doi: 10.1109/JSEN.2026.3666310.
  4. C. Huang, X. Chen, G. Chen, P. Xiao, G. Y. Li and W. Huang, "Deep Reinforcement Learning-Based Resource Allocation for Hybrid Bit and Generative Semantic Communications in Space-Air-Ground Integrated Networks," in IEEE Journal on Selected Areas in Communications, vol. 43, no. 12, pp. 3942-3954, Dec. 2025, doi: 10.1109/JSAC.2025.3623157.
  5. C. Huang, G. Chen et al., "Flexible Reconfigurable Intelligent Surface-Aided Covert Communications in UAV Networks," in IEEE Journal on Selected Areas in Communications, vol. 44, pp. 1577-1588, 2026, doi: 10.1109/JSAC.2025.3639197.
  6. K. Wang, S. Sun, Y. Guan, C. Huang, P. Xiao, M. Xu, L. Liu, "Beyond connectivity: How smart 5G technologies affect carbon emissions across industries," in Resources, Conservation and Recycling, 2026. doi: 10.1016/j.resconrec.2025.108700.
  7. X. Xu, P. Miao, C. Huang, K. Song and B. Zhu, "Adaptive User Association and Trajectory Planning for Secure VLC-aided UAV Communications," in IEEE Photonics Technology Letters, doi: 10.1109/LPT.2025.3642833.
  8. L. Pang, K. Song, P. Miao, C. Huang et al., "Dynamic Interference Management by Using the Enhanced Clustering and Deep Reinforcement Learning in VLC-Enabled UAV Communication," in IEEE Transactions on Consumer Electronics, vol. 71, no. 3, pp. 7584-7596, Aug. 2025.
  9. Z. Li, C. Huang, L. Chao, Y. Chen, W. Huang, G. Chen, "Perovskite solar cells empowered by machine learning," in Journal of Energy Chemistry, vol. 10, pp. 403-407, Oct. 2025.
  10. C. Huang, G. Chen, J. Zhu, Q. Luo, P. Xiao, W. Huang, R. Tafazolli, "Hybrid Generative Semantic and Bit Communications in Satellite Networks: Trade-offs in Latency, Generation Quality, and Computation" in IEEE Global Communications Conference (Globecom), Taipei, Taiwan, Dec. 2025. (Best Paper Award)
  11. Y. Luo, A. Jayaprakash, G. Chen, C. Huang, Q. Luo and P. Xiao, "Widely Linear Augmented Extreme Learning Machine Based Impairments Compensation for Satellite Communications," in IEEE Transactions on Vehicular Technology, vol. 74, no. 11, pp. 17725-17737, Nov. 2025.
  12. X. Chen, C. Huang, G. Chen, D. Feng and P. Xiao, "The Communication and Computation Trade-Off in Wireless Semantic Communications," in IEEE Wireless Communications Letters, vol. 14, no. 7, pp. 2259-2263, Jul. 2025.
  13. D. Li, J. Li, C. Huang, G. Chen, P. Xiao and W. Feng, "Unsupervised Learning for Energy Efficiency Optimization Over CF-mMIMO Under URLLC," in IEEE Communications Letters, vol. 29, no. 6, pp. 1436-1440, Jun. 2025.
  14. P Xu, C Luo, C Huang et al., "A General Framework for Probabilistic Relay Selection in Asymmetric Buffer-Aided Cooperative Relaying Systems," in IEEE Transactions on Communications, vol. 73, no. 9, pp. 7257-7271, Sep. 2025
  15. S Fang, G Chen, C Huang et al., "Weighted Sum Rate Enhancement by Using Dual-Side IOS-Assisted Full-Duplex for Multiuser MIMO Systems," in IEEE Internet of Things Journal, vol. 12, no. 12, pp. 19561-19573, Jun. 2025.
  16. S. Sun, C. Huang, G. Chen, P. Xiao and R. Tafazolli, "Deep Learning-Based Traffic-Aware Base Station Sleep Mode and Cell Zooming Strategy in RIS-Aided Multi-Cell Networks," in IEEE Transactions on Cognitive Communications and Networking, vol. 11, no. 4, pp. 2171-2184, Aug. 2025.
  17. C. Huang, Y. Wen, L. Zhang, G. Chen, Z. Gao and P. Xiao, "Reconfigurable Intelligent Surface Empowered Full Duplex Systems: Opportunities and Challenges," in IEEE Communications Standards Magazine, vol. 8, no. 4, pp. 16-22, Dec. 2024.
  18. C. Huang, G. Chen, P. Xiao, J. A. Chambers and W. Huang, "Fair Resource Allocation for Hierarchical Federated Edge Learning in Space-Air-Ground Integrated Networks via Deep Reinforcement Learning With Hybrid Control," in IEEE Journal on Selected Areas in Communications, vol. 42, no. 12, pp. 3618-3631, Dec. 2024.
  19. P. Xu, G. Chen, J. Quan, C. Huang, I. Krikidis, KK. Wong, CB. Chae, "Deep Learning Driven Buffer-Aided Cooperative Networks for B5G/6G: Challenges, Solutions, and Future Opportunities," in IEEE Wireless Communications, vol. 31, no. 4, pp. 215-222, Aug. 2024.
  20. C. Huang, G. Chen, P. Xiao, Y. Xiao, Z. Han and J. A. Chambers, "Joint Offloading and Resource Allocation for Hybrid Cloud and Edge Computing in SAGINs: A Decision Assisted Hybrid Action Space Deep Reinforcement Learning Approach," in IEEE Journal on Selected Areas in Communications, vol. 42, no. 5, pp. 1029-1043, May 2024. (ESI Highly Cited Paper)
  21. C. Huang, G. Chen, Y. Wen, Z. Lin, Y. Xiao and P. Xiao, "Deep Learning-Based Resource Allocation in UAV-RIS-Aided Cell-Free Hybrid NOMA/OMA Networks," in IEEE Global Communications Conference (Globecom), Kuala Lumpur, Malaysia, Dec. 2023, pp. 5641-5646.
  22. Y. Liu, C. Huang, G. Chen, R. Song, S. Song and P. Xiao, "Deep Learning Empowered Trajectory and Passive Beamforming Design in UAV-RIS Enabled Secure Cognitive Non-Terrestrial Networks," in IEEE Wireless Communications Letters, vol. 13, no. 1, pp. 188-192, Jan. 2024.
  23. C. Huang et al., "Federated Learning for RIS-Assisted UAV-Enabled Wireless Networks: Learning-Based Optimization for UAV Trajectory, RIS Phase Shifts and Weighted Aggregation," IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, Singapore, Oct. 2023. (Best Paper Award)
  24. K. Li, C. Huang, Y. Gong and G. Chen, "Double Deep Learning for Joint Phase-Shift and Beamforming Based on Cascaded Channels in RIS-Assisted MIMO Networks," in IEEE Wireless Communications Letters, vol. 12, no. 4, pp. 659-663, Apr. 2023.
  25. C. Huang, G. Chen, J. Tang, P. Xiao and Z. Han, "Machine-Learning-Empowered Passive Beamforming and Routing Design for Multi-RIS-Assisted Multihop Networks," in IEEE Internet of Things Journal, vol. 9, no. 24, pp. 25673-25684, Dec. 2022.
  26. C. Huang, G. Chen and K. -K. Wong, "Multi-Agent Reinforcement Learning-Based Buffer-Aided Relay Selection in IRS-Assisted Secure Cooperative Networks," in IEEE Transactions on Information Forensics and Security, vol. 16, pp. 4101-4112, Aug. 2021.
  27. C. Huang, G. Chen, Y. Gong, P. Xu, Z. Han and J. A. Chambers, "Buffer-Aided Relay Selection for Cooperative Hybrid NOMA/OMA Networks With Asynchronous Deep Reinforcement Learning," in IEEE Journal on Selected Areas in Communications, vol. 39, no. 8, pp. 2514-2525, Aug. 2021.
  28. C. Huang, G. Chen, Y. Gong and Z. Han, "Joint Buffer-Aided Hybrid-Duplex Relay Selection and Power Allocation for Secure Cognitive Networks With Double Deep Q-Network," in IEEE Transactions on Cognitive Communications and Networking, vol. 7, no. 3, pp. 834-844, Sep. 2021.
  29. C. Huang, G. Chen, Y. Gong, M. Wen and J. A. Chambers, "Deep Reinforcement Learning-Based Relay Selection in Intelligent Reflecting Surface Assisted Cooperative Networks," in IEEE Wireless Communications Letters, vol. 10, no. 5, pp. 1036-1040, May 2021.
  30. C. Huang, G. Chen and Y. Gong, "Delay-Constrained Buffer-Aided Relay Selection in the Internet of Things With Decision-Assisted Reinforcement Learning," in IEEE Internet of Things Journal, vol. 8, no. 12, pp. 10198-10208, 15 Jun. 2021.
  31. C. Huang, G. Chen, Y. Gong and P. Xu, "Deep Reinforcement Learning Based Relay Selection in Delay-Constrained Secure Buffer-Aided CRNs," IEEE Global Communications Conference (Globecom), Taipei, Taiwan, Dec. 2020.

 

六、科研项目

  1. 2026年 - 2029年, 中山大学科研启动经费，主持
  2. 2025年 - 2028年，Smart Green 5G Technologies: Carbon Emissions Across Industries, Digital Innovation and Circular Economy (DICE)，主持
  3. 2025年 - 2026年，Distributed Agentic AI in Future wireless Networks, JointLab，主持

 

七、学术活动

  1. 大会主席: 2026 EAI International Conference on Communications and Networking in China (Chinacom)
  2. 组委会成员: 2026 Asia Conference on Edge Intelligence and Service Computing
  3. 分会主席: 2026 International Conference on Computer and Communication Systems 
  4. 分会主席: 2026 Information Communication Technologies Conference
  5. 分会主席: 2025 International Conference on Communications and Broadband Networking 
  6. 技术委员会成员: 2025 IEEE International Conference on Communications (ICC)
  7. 技术委员会成员: Vehicular Technology Conference (VTC)-Fall