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Yongli Yan Post Doctor, August 2023~ Department of Electronic Engineering, Tsinghua University, Beijing 100084, China Research Interests: channel encoding and decoding, AI-based channel decoding and near-filed wireless communications. Address: Room 8-212, Tsinghua-Rohm EE Hall, Tsinghua University, Beijing 100084, China
Tel: +86-10-62795153
E-mail: yanyongli@tsinghua.edu.cn
Homepage: http://oa.ee.tsinghua.edu.cn/dailinglong/members/yongliyan |
Biography
Dr. Yongli Yan is a Postdoctoral Researcher at Tsinghua University, where he conducts pioneering research under the mentorship of Professor Linglong Dai. His current work focuses on cutting-edge areas, including channel encoding and decoding, AI-driven channel decoding, AI-enhanced wireless receivers, and the design and implementation of VLSI architectures for wireless communication chips. From 2019 to 2022, Dr. Yan served as a Senior Researcher at Shanghai HiSilicon Technologies Co., Ltd., where he drove innovative advancements in wireless communication technologies over a three-year tenure. His contributions included advancements in Wi-Fi, power line communication and the development of the next-generation NearLink wireless communication system. This industry experience sharpened his ability to translate theoretical research into practical, high-impact applications. Dr. Yan earned his Ph.D. in Electronic Engineering from the University of Chinese Academy of Sciences in 2019, advised by Professors Bin Wu and Jiang Yan. Beginning his doctoral research in September 2014, he established a robust foundation in advanced communication systems. With a strong academic background and extensive industry expertise, Dr. Yan continues to advance the field of wireless communication technologies, seamlessly integrating theoretical rigor with practical innovation.
Awards
Publications
Journal Papers
[J7] T. Zheng, J. Zhu, Q. Yu, Y. Yan, and L. Dai, “Coded Beam Training,” IEEE J. Sel. Areas Commun., vol. 43, no. 3, pp. 928–943, Mar. 2025.
[J6] Z. Wan, J. Zhu, Y. Yan, and L. Dai, “A General DoF and Pattern Analyzing Scheme for Electromagnetic Information Theory,” arXiv, Apr. 11, 2025, arXiv: arXiv:2504.08262. doi: 10.48550/arXiv.2504.08262.
[J5] Y. Yan and L. Dai, “Decoding for Punctured Convolutional and Turbo Codes: A Deep Learning Solution for Protocols Compliance,” arXiv, Feb. 21, 2025, arXiv: arXiv:2502.15475. doi: 10.48550/arXiv.2502.15475.
[J4] Y. Yan, J. Zhu, T. Zheng, J. He, and L. Dai, “Error Correction Code Transformer: From Non-Unified to Unified,” arXiv, Mar. 05, 2025, arXiv: arXiv:2410.03364. doi: 10.48550/arXiv.2410.03364.
[J3] Y. Yan, X. Zhang, and B. Wu, “An implementation of belief propagation decoder with combinational logic reduced for polar codes,” IEICE Electronics Express, vol. 16, no. 15, pp. 20190382–20190382, 2019, doi: 10.1587/elex.16.20190382.
[J2] Y. Yan, X. ZHANG, and B. WU, “Reduced Complexity Successive-Cancellation Decoding of Polar Codes Based on Linear Approximation,” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E103.A, no. 8, pp. 995–999, 2020, doi: 10.1587/transfun.2019EAL2098.
[J1] Y. Yan, X. Zhang, and B. Wu, “Simplified Early Stopping Criterion for Belief-Propagation Polar Code Decoder Based on Frozen Bits,” IEEE Access, vol. 7, pp. 134691–134696, 2019, doi: 10.1109/ACCESS.2019.2940135.