Zhonghao Lyu (吕忠昊) @ Albus Lyu
About me
Welcome! I am Zhonghao Lyu. I am now a 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. Before that, I received my M.Phil. degree from Information & Communication Engineering, University of Science and Technology of China (USTC) in 2021, and the Bachelor degree in Electronic Information Engineering from Dalian University of Technology (DUT) in 2018. My research interests include Edge AI, Large AI Models, and UAV Communications.
News
- Mar. 2026 — I will serve as an Associate Editor for IEEE Open Journal of Vehicular Technology.
- Mar. 2026 — I will serve as an Associate Editor for IEEE Wireless Communications Letters.
- Feb. 2026 — I am awarded as an Exemplary Reviewer of IEEE Wireless Communications Letters in 2025.
- Jan. 2026 — Our paper “The Transformer as a Parametric Filter for Sequence MIMO Equalization,” was awarded the Best Paper Award in 2025 5th International Conference on Electronic Communications, Computer Science and Technology (ECCST 2025).
- Dec. 2025 — Our paper "Pushing AI to wireless network edge: An overview on integrated sensing, communication, and computation towards 6G" was awarded as Frontrunner 5000 Top Articles in Outstanding S&T Journals of China.
- Dec. 2025 — Our project “Key Technologies and Applications of Large-Scale Heterogeneous Multi-Cluster Computing Resource Scheduling,” was awarded the First Prize of the Science and Technology Award of the China General Chamber of Commerce.
- Nov. 2025 — I will co-chair the IRS-ISAC & Antennas (IRSA) Symposium in IWCMC 2026. Welcome to submit your papers!
- Oct. 2025 — I will be an EDAS co-chair for IEEE PIMRC 2026. Welcome to submit your papers!
- Aug. 2025 — I will serve as a jury member for Swedish Final of Huawei Sweden Tech Arena 2025.
Selected Publications
Monograph
- 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), Springer, 2023.
Journal
- [TMC] Z. Lyu, M. Xiao, M. Skoglund, M. Debbah, and H. V. Poor, “Quantization-aware collaborative inference for large embodied AI models,” submitted to IEEE Trans. Mob. Comput., 2026.
- [TCCN] Z. Lyu, X. Cao, X. Song, Y. Li, J. Wang, Y. Cui, W. Yuan, X. Yu, G. Zhu, J. Xu, D. W. K. Ng, D. Niyato, and S. Cui, “Sense Smarter, Think Better: Edge Perception for Next-Generation Networks,” submitted to IEEE Trans. Cogn. Commun. Netw., 2026.
- [TMC] Y. Li, R. Kong, Z. Lyu* (corresponding author), Q. Li, X. Chen, H. Cai, L. Yan, S. Wang, J. Zhao, G. Zhu, L. Kong, G. Chen, H. Xiong, and D. Yin, “FlexSpec: Frozen drafts meet evolving targets in edge-cloud collaborative LLM speculative decoding,” submitted to IEEE Trans. Mob. Comput., 2026.
- [TVT] Y. He, J. Jiang, Z. Lyu, X. Cao, and Y. Cui, “Pinching antenna systems-enabled over-the-Air computation for low-altitude UAV networks,” 2026.
- [TCCN] Z. Ye, Y. Gao, Y. Xiao, Z. Lyu, P. Yang, and A. Manolova, “Agentic AI for low altitude economic networks via LoRA-assisted cloud-edge collaboration,” 2026.
- [TKDE] Y. Li, H. Zhang, Y. Zhang, F. Yang, W. Luo, J. Chen, X. Chen, R. Kong, Y. Zhang, X. Ma, H. Cai, L. Su, L. Yan, Z. Lyu, et. al., “RankLLM: Large language model-guided ranking for web search via progressive alignment,” 2026.
- [JSAC] Z. Lyu, M. Xiao, J. Xu, M. Skoglund, and M. Renzo, “The larger the merrier? Efficient large AI model inference in wireless edge networks,” IEEE J. Sel. Areas Commun., 2025.
- [TON] X. Du, Z. Lyu, X. Cao, C. Wen, S. Cui, J. Xu, “Closing the Generalization Gap in Parameter-efficient Federated Edge Learning,” 2025.
- [TWC] J. Fu, M. Xiao, Z. Lyu, M. Skoglund, C. Wu, “Robust Multi-modal Task-oriented Communications with Redundancy-aware Representations,” 2025.
- [TKDE] Y. Li, Z. Lyu, Y. Zhang, H. Zhang, T. Peng, H. Xiong, S. Wang, L. Kong, G. Chen, D. Yin, “S3PRank: Toward Satisfaction-Oriented Learning to Rank With Semi-Supervised Pre-Training,” IEEE Trans. Knowl. Data Eng., vol. 38, no. 1, pp. 559–572, Jan. 2026.
- [CL] Z. Lyu, H. Li, Y. Gao, M. Xiao, and H. V. Poor, “Pinching-Antenna Systems (PASS) Aided Over-the-air Computation,” IEEE Commun. Lett., vol. 29, no. 11, pp. 2531–2535, Nov. 2025.
- [TCCN] Y. Gao, Z. Ye, Z. Lyu, M. Xiao, Y. Xiao, P. Yang, A. Manolova, “Vision-Aided ISAC in Low-Altitude Economy Networks via De-Diffused Visual Priors,” IEEE Trans. Cogn. Commun. Netw., 2025.
- [TMC] Z. Zhao, F. Meng, Z. Lyu, H. Li, X. Li, and G. Zhu, “CSI-BERT2: A BERT-inspired framework for efficient CSI prediction and classification in wireless communication and sensing,” IEEE Trans. Mob. Comput., 2025.
- [WCL] H. Li, Z. Lyu, Y. Gao, M. Xiao, and H. V. Poor, “MIMO Pinching-Antenna-Aided SWIPT,” IEEE Wireless Commun. Lett., 2025.
- [WCM] Z. Lyu, Y. Gao, J. Chen, H. Du, J. Xu, K. Huang, and D. I. Kim, “Empowering Intelligent Low-altitude Economy with Large AI Model Deployment,” IEEE Wireless Commun., 2025.
- [TCOM] G. Cheng, X. Song, Z. Lyu, and J. Xu, “Networked ISAC for low-altitude economy: Coordinated transmit beamforming and UAV trajectory design,” IEEE Trans. Commun., vol. 73, no. 8, pp. 5832–5847, Aug. 2025.
- [TMC] M. Cai, C. Ma, Y. Li, Z. Lyu (corresponding author), Y. Liu, L. Kong, and G. Chen, “UCMM: Unsupervised convolutional networks for accurate and efficient map matching with mobile cellular data,” IEEE Trans. Mob. Comput., vol. 24, no. 7, pp. 6062–6074, Jul. 2025.
- [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 Trans. Veh. Technol., vol. 74, no. 4, pp. 6644–6649, Apr. 2025.
- [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.
- [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., vol. 5, pp. 4275–4292, 2024.
- [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., vol. 23, no. 8, pp. 8388–8404, Aug. 2024.
- [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 802.11bf: WLAN sensing,” IEEE Commun. Surv. Tutor., vol. 27, no. 1, pp. 184–217, Feb. 2025. (ESI highly cited paper)
- [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. (ESI highly cited paper)
- [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, IEEE TWC Popular Paper)
- [WCM] 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.
- 李培铭 (P. Li), 吕忠昊 (Z. Lyu), 方园 (Y. Fang), 许杰 (J. Xu), “多小区协作无人机通信感知一体化系统的资源分配 (Resource allocation for multi-cell cooperative integrated sensing and communication with UAVs),” 信号处理 (Journal of Signal Processing). (invited paper)
Conference
- [ICC] Z. Lyu, X. Cao, D. Wen, Y. Cui, Z. Zhang, Z. Yang, J. Xu, and S. Cui, “Parameter-efficient large AI model Co-inference at multi-cluster edge networks,” IEEE Proc. ICC, 2026.
- [WCNC] J. Fu, M. Xiao, C. Ren, and Z. Lyu, “Learning redundancy-aware representations for robust multi-modal task-oriented communications,” IEEE Proc. WCNC, 2026.
- [ECCST] K. Yu, Y. Gao, T. Lin, Z. Lyu, J. Zhao, and M. Xaio, “The Transformer as a Parametric Filter for Sequence MIMO Equalization,” to appear in Proc. International Conference on Electronic Communications, Computer Science and Technology (ECCST), 2025. (Best paper award)
- [ICCC] G. Cheng, X. Song, Z. Lyu, and J. Xu, “Networked ISAC for low-altitude economy: Transmit beamforming and UAV trajectory design,” to appear in IEEE Proc. ICCC, 2024.
- [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.
- [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)
- [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.
- [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.
- [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.
Industry Standard Proposal
- YD/T 2023-0594, “Telecom data service platform-Part 13: Requirements for application technologies in university campus management,” China Communications Standards Association, 2023.
Awards & Honors
- Exemplary Reviewer of IEEE WCL in 2025
- Best Paper Award in 5th International Conference on Electronic Communications, Computer Science and Technology (ECCST), 2026
- Frontrunner 5000 Top Articles in Outstanding S&T Journals of China, 2025
- First Prize of the Science and Technology Award of the China General Chamber of Commerce, 2025
- 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
- “Towards large AI model-empowered edge intelligence: From pre-training and fine-tuning to collaborative inference”, 2025 Global Young Scholars’ Forum, CUHK-Shenzhen, 2025.
- “Towards large AI model-empowered edge intelligence: From pre-training and fine-tuning to collaborative inference”, invited talk by Shenzhen University, Shenzhen, China, 2025.
- “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.
Conference Chair
IEEE PIMRC 2026, IEEE IWCMC 2026.
Competition Jury
Jury member, Swedish Final of Huawei Sweden Tech Arena 2025.
Journal Reviewer
IEEE JSAC, IEEE TMC, IEEE TWC, IEEE TON, IEEE TCOM, IEEE TSP, IEEE CL, IEEE WCL, IEEE IoTJ, IEEE JSTSP, IEEE OJCOM, IEEE TCCN, IEEE TVT, IEEE TGCN, IEEE TNSE, JCIN, etc.
Conference TPC Member and Reviewer
IEEE ICC 2021–2025, IEEE Globecom 2023–2025, IEEE WCNC 2021–2025, IEEE VTC 2023–2025, IEEE PIMRC 2024–2025, IEEE ICCC 2023–2025, IEEE WCSP 2023–2025, 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
Resident Tutor of the Diligentia College, CUHK, Shenzhen.
Testbed
Developed testbeds for federated edge learning and large AI model edge inference GitHub: testbed.pdf .