Publications
You can also find my articles on my Google Scholar profile.
Journal Articles
[1] X. Yu, and D. Li, “Phase Shift Information Compression in IRS-aided Wireless Systems: Challenges and Opportunities,” IEEE Communications Magazine (accepted), 2025.
[2] X. Yu, D. Li, N. Zhang, and X. Shen, “A Novel Lightweight Joint Source-Channel Coding Design in Semantic Communications,” IEEE Internet of Things Journal, vol. 12, no. 11, pp. 18447–18450, June 1, 2025.
[3] X. Yu and D. Li, “Number Detection for Backscatter Communication Systems: Identification of the Number of Active and Inactive Tags,” IEEE Transactions on Vehicular Technology, vol. 73, no. 12, pp. 19919–19924, Dec. 2024.
[4] X. Yu and D. Li, “Phase Shift Compression for Control Signaling Reduction in IRS-Aided Wireless Systems: Global Attention and Lightweight Design,” IEEE Transactions on Wireless Communications, vol. 23, no. 8, pp. 8528–8541, Aug. 2024.
[5] X. Yu and D. Li, “Attention Mechanism Aided Signal Detection in Backscatter Communications With Insufficient Training Data,” IEEE Transactions on Vehicular Technology, vol. 73, no. 5, pp. 7395–7399, May 2024.
[6] X. Yu, D. Li, Z. Wang, and S. Sun, “An Integrated New Deep Learning Framework for Reliable CSI Acquisition in Connected and Autonomous Vehicles,” IEEE Network, vol. 37, no. 4, pp. 216–222, July/August 2023.
[7] Z. Yan, D. Li, X. Yu, and Z. Zhang, “Latency-Efficient Wireless Federated Learning With Quantization and Scheduling,” IEEE Communications Letters, vol. 26, no. 11, pp. 2621–2625, Nov. 2022.
[8] X. Yu, D. Li, Y. Xu, and Y.-C. Liang, “Convolutional Autoencoder-Based Phase Shift Feedback Compression for Intelligent Reflecting Surface-Assisted Wireless Systems,” IEEE Communications Letters, vol. 26, no. 1, pp. 89–93, Jan. 2022.
[9] L. Cho, X. Yu, C.-Y. Hsu, and P.-H. Ho, “Mitigation of PA Nonlinearity for IEEE 802.11ah Power-Efficient Uplink via Iterative Subcarrier Regularization,” IEEE Access, vol. 9, pp. 15659–15669, 2021.
Conference Papers
[1] X. Yu, D. Li, B. Gu, X. Jing, W. Wu, T. Wu, and K. Yu, “Meta-Learning Driven Lightweight Phase Shift Compression for IRS-Assisted Wireless Systems,” in Proceedings of IEEE Global Communications Conference (GLOBECOM), 2025.
[2] H. Qin, B. Gu, X. Yu, H. Xie, Y. Xu, Q. Li, and L. Wang, “Revisiting Wireless-Powered MEC: A Cooperative Energy Recycling Framework for Task-Energy Co-Design,” in Proc. IEEE International Conference on Communication Technology (ICCT), Shenyang, China, 2025.
[3] X. Yu, D. Li, H. Cao, Z. Lin, K. An, J. Wang, and N. Al-Dhahir, “Phase Shift Signaling Reduction for IRS-Aided Internet of Things Networks by Exploiting Global Attention,” in Proc. 2023 IEEE 23rd International Conference on Communication Technology (ICCT), Wuxi, China, 2023, pp. 903–908. (Best paper award)
[4] X. Yu and Z. Wang, “Sequential Neural Network Decoder for Convolutional Code With Large Block Sizes,” in Proc. 2020 IEEE Globecom Workshops (GC Wkshps), Taipei, Taiwan, 2020, pp. 1–6.
[5] L. Cho, X. Yu, C.-Y. Chen, and C.-Y. Hsu, “Green OFDM for IoT: Minimizing IBO subject to a Spectral Mask,” in Proc. 2018 IEEE International Conference on Applied System Invention (ICASI), Chiba, Japan, 2018, pp. 5–8.