Jieao Zhu 朱结奥 Ph. D. Student, September 2021~ Department of Electronic Engineering, Tsinghua University, Beijing 100084, China Research Interests: Information theory, electromangetic information theory (EIT), Reconfigurable Intelligent Surface (RIS) Address: Room 8-212, Tsinghua-Rohm EE Hall, Tsinghua University, Beijing 100084, China Tel: +86-15801916963 E-mail:  [Tsinghua] zja21@mails.tsinghua.edu.cn [NUS] jieaozhu@u.nus.edu Homepage: http://oa.ee.tsinghua.edu.cn/dailinglong/members/jieaozhu

Biography

Jieao Zhu is a Ph.D. student in Electronic Engineering of Tsinghua University from Sept 2021 under the supervision of Professor Linglong Dai. He worked as a visiting student at National University of Singapore (NUS) under the supervision of Professor Vincent Y. F. Tan from Feb 2024 to Jun 2024, studying finite-blocklength information theory. His current research is mainly focused on advanced RIS technologies (fabrication and demo), electromagnetic information theory (EIT), and MIMO/RIS signal processing.

Awards

1. Comprehensive Excellent Scholarship of Tsinghua University, 2024
   2024年 清华之友 济宁英才奖学金 （综奖二等奖）
   
2. Comprehensive Excellent Scholarship of Tsinghua University, 2023
   2023年 清华之友 九坤奖学金 （综奖二等奖）
   
3. Future Scholars Scholarship, Dept. Electronics Engineering, Tsinghua University, 2021
   2021年 清华大学电子系 未来学者奖学金 （排名1/80）
   
4. Outstanding Graduates of Beijing, 2021
   2021年 北京市 优秀毕业生 （排名3/273）
   
5. Comprehensive Excellent Scholarship of Tsinghua University (National Scholarship), 2020
   2020年 电子系 综合优秀奖学金（国家奖学金）
   
6. Tsinghua's Friend- Zheng Geru Scholarship
   2019年 清华之友-郑格如奖学金 （综奖二等奖）
   
7. First prize in National College Students Physics Competition
   2018年 全国部分地区大学生物理竞赛一等奖
   
8. Comprehensive Excellent Scholarship of Tsinghua University (National Scholarship), 2018
   2018年 电子系 综合优秀奖学金（国家奖学金）
   

Journal Publications

[J9] J. Zhu, Z. Wan, L. Dai, and T. J. Cui, “Electromagnetic information theory-based statistical channel model for improved channel estimation,” IEEE Trans. Inf. Theory, vol. 71, no. 3, pp. 1777-1793, Mar. 2025. [Full Paper] [Simulation Codes]

[J8] 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. [Full Paper] [Simulation Codes]

[J7] Z. Zhang, J. Zhu, L. Dai, and R. W. Heath, “Successive Bayesian Reconstructor for Channel Estimation in Fluid Antenna Systems,” IEEE Trans. Wireless Commun., vol. 24, no. 3, pp. 1992-2006, Mar. 2025. [Full Paper]

[J6] Z. Wan, J. Zhu, and L. Dai, “Near-field channel modeling for electromagnetic information theory,” IEEE Trans. Wireless Commun., vol. 23, no. 12, pp. 18004-18018, Dec. 2024. [Full Paper] [Simulation Codes]

[J5] J. Zhu, Z. Wan, L. Dai, M. Debbah, and H. V. Poor, “Electromagnetic information theory: Fundamentals, modeling, applications, and open problems,” IEEE Wirel. Mag., vol. 31, no. 3, pp. 156-162, Jun. 2024. [Full Paper]

[J4] J. Zhu, V. Y. F. Tan, and L. Dai, “MIMO capacity analysis and channel estimation for electromagnetic information theory,” submitted to IEEE Trans. Inf. Theory, Jun. 2024.

[J3] J. Zhu, Z. Gu, Q. Ma, L. Dai, and T. J. Cui, “Holography-inspired self-controlled reconfigurable intelligent surface,” submitted to Nature Electronics (major revision) , Mar. 2024.

[J2] J. Zhu, K. Liu, Z. Wan, L. Dai, T. J. Cui, and H. V. Poor, “Sensing RISs: Enabling dimension-independent CSI acquisition for beamforming,” IEEE Trans. Inf. Theory, vol. 69, no. 6, pp. 3795-3813, Jun. 2023. [Full Paper] [Simulation Codes]

[J1] Z. Wan, J. Zhu, Z. Zhang, L. Dai, and C. B. Chae, “Mutual information for electromagnetic information theory based on random fields,” IEEE Trans. Commun., vol. 71, no. 4, pp. 1982-1996, Apr. 2023. [Full Paper] [Simulation Codes]

Conference Publications

[C5] Z. Zhang, J. Zhu, L. Dai, and R. W. Heath, “Successive Bayesian reconstructor for FAS channel estimation,” in Proc. IEEE Wireless Commun. Netw. Conf. (IEEE WCNC’24), Dubai, United Arab Emirates, 2024. [Full Paper]

[C4] Z. Wan, J. Zhu, and L. Dai, “Performance comparison between continuous aperture MIMO and discrete MIMO,” in Proc. 2023 IEEE Global Commun. Conf. (IEEE GLOBECOM’23), Kuala Lumpur, Malaysia, Dec. 2023. [Full Paper] [Simulation Codes] [Presentation Slides]

[C3] Z. Wan, J. Zhu and L. Dai, “Electromagnetic information theory motivated near-field channel model,” in Proc. IEEE Int. Symp. Inf. Theory. (IEEE ISIT’24), Athens, Greece, 2024. [Full Paper] [Simulation Codes]

[C2] J. Zhu, X. Su, Z. Wan, L. Dai, and T. J. Cui, “The benefits of electromagnetic information theory for channel estimation,” in Proc. IEEE Int. Conf. Commun. (ICC'24) , Denver, CO, USA, Jun. 2024. [Full Paper] [Simulation Codes] [Presentation Slides]

[C1] J. Zhu, Z. Zhang, Z. Wan, and L. Dai, “On finite-time mutual information,” in Proc. IEEE Int. Symp. Inf. Theory (ISIT'22) , Jun. 2022. [Full Paper] [Simulation Codes] [Presentation Slides]