X. Yu, and D. Li, "Phase Shift Information Compression in IRS-aided Wireless Systems: Challenges and Opportunities," *IEEE Communications Magazine* (accepted), 2025.
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.
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.
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.
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.
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.
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.
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)**
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.
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.
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.
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.
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.
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.
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA