About me

Welcome! I am Zhonghao Lyu. I am now a Postdoc Research Fellow at KTH Royal Institute of Technology.
I received my Ph.D. degree in Computer & Information Engineering from The Chinese University of Hong Kong, Shenzhen, supervised by Prof. Jie Xu and Dr. Guangxu Zhu. Before that, I received my M.Phil. degree from Information & Communication Engineering, University of Science and Technology of China (USTC) in 2021. I received my Bachelor degree in Electronic Information Engineering from Dalian University of Technology (DUT) in 2018. I was a visiting student at the Shenzhen Research Institute of Big Data (SRIBD) in 2022-2024.
Research interests:
Edge AI, Semantic Communications, integrated sensing and communication (ISAC), UAV Communications

Publications (please see my latest publications on my Google Scholar page.)

[Monograph]

  1. J. Xu, Z. Lyu, X. Song, F. Liu, Y. Cui, C. Masouros, T. X. Han, Y. C. Eldar, and S. Cui, "ISAC with emerging communication technologies," Integrated Sensing and Communications (ISAC), 2023, Springer. Paper
[Journal]
  1. [TWC] Z. Lyu, G. Zhu, and J. Xu, "Joint maneuver and beamforming design for UAV-enabled integrated sensing and communication," IEEE Trans. Wireless Commun., vol. 22, no. 4, pp. 2424-2440, Apr. 2023. (ESI highly cited paper) Paper
  2. [TWC] Z. Lyu, G. Zhu, J. Xu, B. Ai, and S. Cui, "Semantic communications for image recovery and classification via deep joint source and channel coding," IEEE Trans. Wireless Commun., early access. Paper
  3. [TWC] Z. Lyu, Y. Li, G. Zhu, J. Xu, H. V. Poor, and S. Cui, "Rethinking resource management in edge learning: A joint pre-training and fine-tuning design paradigm," IEEE Trans. Wireless Commun., 2024. Paper
  4. [SCIS] G. Zhu, Z. Lyu, X. Jiao, P. Liu, M. Chen, J. Xu, S. Cui, and P. Zhang, "Pushing AI to wireless network edge: An overview on integrated sensing, communication, and computation towards 6G," Sci. China Inf. Sci., vol. 66, no. 130301, pp. 1-19, Feb. 2023. Paper
  5. [WC] X. Cao, Z. Lyu, G. Zhu, J. Xu, L. Xu, and S. Cui, "An overview on over-the-air federated edge learning," IEEE Wireless Commun., early access. Paper
  6. [COMST] R. Du, H. Hua, H. Xie, X. Song, Z. Lyu, M. Hu, Y. Xin, S. McCann, M. Montemurro, T. Han, and J. Xu, "An overview on IEEE 802.11 bf: WLAN sensing," IEEE Commun. Surv. Tutor., early access.
  7. [TVT]G. Chen, J. Li, Q. Wu, M. Hua, K. Meng, Z. Lyu, “Intelligent reflecting surface aided airComp: Multi-Timescale design and performance analysis,” IEEE Wirel. Commun. Lett.
  8. [OJCOM] G. Wu, Z. Lyu, J. Zhang, and J. Xu, “Embracing radiance field rendering in 6G: Over-the-air training and inference with 3D contents,” IEEE Open J. Commun. Soc., early access.
  9. [TCOM]G. Cheng, X. Song, Z. Lyu, and J. Xu, “Networked ISAC for low-altitude economy: Coordinated transmit beamforming and UAV trajectory design,” submitted to IEEE Trans. Commun..
  10. [TMC] M. Cai, C. Ma, Y. Li, Z. Lyu, Y. Liu, L. Kong, and G. Chen, “UCMM: Unsupervised convolutional networks for accurate and efficient map matching with mobile cellular data,” submitted to IEEE Trans. Mob. Comput..
[Conference]
  1. [ICCC] Z. Lyu, C. Ren, and L. Qiu, "Movement and Communication Co-Design in Multi-UAV Enabled Wireless Systems via DRL," in IEEE Proc. ICCC, pp. 1-7, 2020.
  2. [ICC] Z. Lyu, G. Zhu, and J. Xu, "Joint trajectory and beamforming design for UAV-enabled integrated sensing and communication," in IEEE Proc. ICC, pp. 1593-1598, 2022.
  3. [Globecom] Z. Lyu, G. Zhu, J. Xu, B. Ai, and S. Cui, "Semantic communications for joint image recovery and classification," in IEEE Proc. Globecom Workshops, pp. 1579-1584, 2023.
  4. [ISWCS] G. Wu, Z. Lyu, J. Zhang, and J. Xu, "Semantic Communications for 3D Human Face Transmission with Neural Radiance Fields," in IEEE Proc. International Symposium on Wireless Communication Systems (ISWCS), 2024. (invited paper)
  5. [VTC] P. Jiang, X. Cao, Y. He, X. Song, and Z. Lyu, "RIS-Assisted Integrated Sensing and Communication System With Physical Layer Security Enhancement by DRL Approach," in IEEE Proc. VTC-Spring, 2024.
  6. [ICCC] G. Cheng, X. Song, Z. Lyu, and Jie Xu, “Networked ISAC for low-altitude economy: Transmit beamforming and UAV trajectory design,” to appear in IEEE Proc. ICCC, 2024.

Awards & Honors

First prize in Guangdong-Hong Kong-Macao Greater Bay Area Graduate Forum, 2024
Outstanding Comprehensive Affairs Award as Resident Tutor, Diligentia College, CUHK-Shenzhen, 2024
SRIBD Excellence Scholarship, SRIBD, CUHKSZ, 2023
Scholarship for Excellence in Academic Study, USTC, 2018-2021 (three times)
National Recommended Postgraduate Candidate, China, 2017
Outstanding Graduate Award, DUT, 2018
Scholarship for Learning Excellence, DUT, 2014-2018 (three times)

Academic Activity and Service

Conference and Forum Presentation:
“Joint sensing, communication, and computation towards intelligent edge networks”, Guangdong-Hong Kong-Macao Greater Bay Area Graduate Forum, Guangzhou, China, 2024.
“Semantic communications for joint image recovery and classification”, IEEE Globecom, Kuala Lumpur, Malaysia, 2023.
“Joint maneuver and beamforming design for UAV-enabled integrated sensing and communication”, Doctoral and Postdoctoral Daoyuan Academic Forum, Shenzhen, China, 2022.
“Joint trajectory and beamforming design for UAV-enabled integrated sensing and communication”, IEEE ICC, Seoul, Korea, 2022.
“Movement and communication co-design in multi-UAV enabled wireless systems via DRL”, IEEE ICCC, Chengdu, China, 2020.
Journal Reviewer:
IEEE JSAC, IEEE TMC, IEEE TWC, IEEE TCOM, IEEE TSP, IEEE WCL, IEEE IoTJ, IEEE JSTSP, IEEE OJCOM, IEEE TCCN, JCIN, etc.
Conference TPC Member and Reviewer:
IEEE ICC 2021-2024, IEEE Globecom 2023-2024, IEEE WCNC 2021-2024, IEEE VTC 2023-2024, IEEE PIMRC 2024, IEEE ICCC 2023-2024, IEEE WCSP 2023-2024, etc.
Teaching Assistant:
2023Fall-ECE4016: Computer Networks
2023Spring-EIE4003/MCE6004: Wireless Communications
2022Fall-EIE4003/MCE6004: Wireless Communications
2021Fall-EIE3050: Principles of Communication Systems
Resident Tutor of the Diligentia College, CUHK, Shenzhen

Testbed

Please see the document of the developed federated edge learning testbed at https://github.com/AlbusLyu/AlbusLyu.github.io/blob/master/testbed.pdf