I am a third-year Ph.D. student (since 2023) at PCNI Lab of the School of Electronics, Peking University, supervised by Prof. Xiang Cheng. I also work closely with Prof. Shijian Gao from The Hong Kong University of Science and Technology (Guangzhou). Before that, I obtained my bachelor’s degree from the University of Electronic Science and Technology of China in 2023.

My research interests include AI-empowered wireless system design. Specifically, I have recently focused on the wireless physical layer (PHY) design enabled by foundation models.

Publications

Working Paper

1. Xiang Cheng, Boxun Liu, Xuanyu Liu, and Xuesong Cai, “Large Wireless Foundation Models: Stronger over Bigger”, arXiv 2026. [arXiv]
2. Bixun Liu, Xuanyu Liu, Shijian Gao, Xiang Cheng, and Liuqing Yang, “Foundation Model for Intelligent Wireless Communications,” arXiv 2026. [arXiv]
3. Xiang Cheng, Weibo Wen, Haotian Zhang, Boxun Liu, Zonghui Yang, Jianan Zhang, Xuesong Cai, “Embodied Intelligent Wireless (EIW): Synesthesia of Machines Empowered Wireless Communications,” arXiv 2025. [arXiv]
4. Xuanyu Liu, Shijian Gao, Boxun Liu, Xiang Cheng, and Liuqing Yang, “WiFo-CF: Wireless Foundation Model for CSI Feedback”, arXiv 2025.

Journals

1. Xiang Cheng, Boxun Liu, Xuanyu Liu, Ensong Liu, and Ziwei Huang, “Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration”, IEEE Transactions on Network Science and Engineering, vol. 13, pp. 762-782, Nov. 2025. [Paper][arXiv][Code][中文解读]
2. Boxun Liu, Shijian Gao, Xuanyu Liu, Xiang Cheng, and Liuqing Yang, “WiFo: Wireless Foundation Model for Channel Prediction,” SCIENCE CHINA Information Sciences, vol. 68, no. 8, pp. 162302, May 2025. [Paper][arXiv] [Code][中文解读]
3. Boxun Liu, Shijian Gao, Zonghui Yang, Xiang Cheng, and Liuqing Yang, “Beam Pattern Modulation Embedded Hybrid Transceiver Optimization for Integrated Sensing and Communication”, IEEE Transactions on Wireless Communications, vol. 24, no. 6, pp. 4966–4980, Jun. 2025. [Paper][arXiv]
4. Boxun Liu, Xuanyu Liu, Shijian Gao, Xiang Cheng, and Liuqing Yang, “LLM4CP: Adapting Large Language Models for Channel Prediction,” Journal of Communications and Information Networks, vol. 9, no. 2, pp. 113-125, Jun. 2024. [Paper][arXiv][Code] [中文解读]
   • Selected in Incentive Plan for Scientific and Technological Papers in the Field of Information and Communication China (only 9 in 2024) [中国通信学会-2024年度信息通信领域科技论文激励计划]
   • Selected as JCIN 2025 Best Paper award
   • Selected as the Most Popular Document (TOP 1) of JCIN: August 2024-now
5. Xinyu Pan, Boxun Liu, Xiang Cheng, and Chen Chen, “LLM4AMC: Adapting Large Language Models for Adaptive Modulation and Coding,” Journal of Communications and Information Networks, vol. 10, no. 4, pp. 352-363, Dec. 2025. [Paper][arXiv][Code]
6. Xuanyu Liu, Shijian Gao, Boxun Liu, Xiang Cheng, and Liuqing Yang, “LLM4WM: Adapting LLM for Wireless Multi-Tasking”, IEEE Transactions on Machine Learning in Communications and Networking, vol. 3, pp. 835-847, Jul. 2025. [Paper][arXiv][Code]
7. Jianan Zhang, Zhiwei Wei, Boxun Liu, Xiayi Wang, Yong Yu, and Rongqing Zhang, “Cloud-Edge-Terminal Collaborative AIGC for Autonomous Driving,” IEEE Wireless Communications, vol. 31, no. 4, pp. 40-47, Aug. 2024.
8. Xiang Cheng, Ziwei Huang, Lu Bai, Haotian Zhang, Mingran Sun, Boxun Liu, Sijiang Li, Jianan Zhang, and Minson Lee, “M3SC: A generic dataset for mixed multi-modal (MMM) sensing and communication integration,” China Communications, vol. 20, no. 11, pp. 13-29, Nov. 2023.
9. Boxun Liu, Yong Deng, and Kang Hao Cheong, “An improved multisource data fusion method based on a novel divergence measure of belief function”, Engineering Applications of Artificial Intelligence, vol. 111, pp. 104834, May 2022.

Conferences

1. Boxun Liu, Shijian Gao, Zonghui Yang, and Xiang Cheng, “Beam Pattern Modulation Embedded mmWave Hybrid Transceiver Design Towards ISAC”, in Proceedings of IEEE Vehicular Technology (VTC-Spring), 2024.