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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

[1] 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.
[2] 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.
[3] 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.
[4] 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.
[5] 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.
[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] 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)
[8] 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.
[9] 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.
[10] 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.
[11] 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.
[12] 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.
[13] 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.
[14] X. Yu, and D. Li, “Phase Shift Information Compression in IRS-aided Wireless Systems: Challenges and Opportunities,” IEEE Communications Magazine (accepted), 2025.

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.