I am a second-year Ph.D. student at PCNI Lab of the School of Electronics, Peking University, supervised by Prof. Xiang Cheng. I also work closely with Prof. Shijian Gao from HKUST-GZ. Before that, I obtained my bachelor’s degree in the School of Information and Communication Engineering from the University of Electronic Science and Technology of China (UESTC) in 2023.

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

Publications

Working Paper

1. Xuanyu Liu, Shijian Gao, Boxun Liu, Xiang Cheng, and Liuqing Yang, “LLM4WM: Adapting LLM for Wireless Multi-Tasking”, submitted to IEEE Transactions on Machine Learning in Communications and Networking. [arXiv]
2. 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”, submitted to IEEE Transactions on Network Science and Engineering. [arXiv]

Journals

1. Boxun Liu, Shijian Gao, Xuanyu Liu, Xiang Cheng, and Liuqing Yang, “WiFo: Wireless Foundation Model for Channel Prediction,” accepted for SCIENCE CHINA Information Sciences. [Paper][arXiv] [Code] The first wireless foundation model to address time-frequency channel prediction tasks in a one-for-all manner.
2. Boxun Liu, Shijian Gao, Zonghui Yang, Xiang Cheng, and Liuqing Yang, “Beam Pattern Modulation Embedded Hybrid Transceiver Optimization for Integrated Sensing and Communication”, accepted for IEEE Transactions on Wireless Communications. [Paper][arXiv]
3. 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][Code] [Interpretation] The first attempt to adapt pre-trained LLM for channel prediction.
   • 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 the Most Popular Document of JCIN: August 2024-now
4. 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.
5. 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.
6. 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.