Zhongzhichao Wan 万钟志超

Ph. D. Student, September 2020~

Department of Electronic Engineering, Tsinghua University, Beijing 100084, China

Research Interests: Decoding of Polar Codes , Machine Learning for Wireless Communications

Address: Room 8-212, Tsinghua-Rohm EE Hall, Tsinghua University, Beijing 100084, China

Tel: +86-10-62795153-()

E-mail: wanzzc16@mails.tsinghua.edu.cn

Homepage: http://oa.ee.tsinghua.edu.cn/dailinglong/members/zhongzhichaowan

Biography

Zhongzhichao Wan received the B.S. degree in the Department of Electronic Engineering from Tsinghua University in 2020, and then he became a Ph.D. student in the same department of Tsinghua University since Sep. 2020. Mr. Wan's current research interests are decoding of Polar codes and machine learning for wireless communications.

Awards

  1. School scholarship : Academic Excellence Scholarship of Tsinghua University
    清华大学学业优秀奖（校设奖学金）
  2. National Encouragement Scholarship ：Academic Excellence Scholarship of Tsinghua University
    清华大学学业优秀奖（国家励志奖学金）
  3. Second prize in National College Students Physics Competition
    全国部分地区大学生物理竞赛二等奖

Publications

Journal Papers

[J5] 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.

[J4] 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.

[J3] J. Zhu, Z. Wan, L. Dai, M. Debbah, and H. V. Poor, “Electromagnetic information theory: Fundamentals, modeling, applications, and open problems,” IEEE Wireless Commun., vol. 31, no. 3, pp. 156-162, Jun. 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.

[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.

Conference Papers

[C4] 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. (IEEE ICC’24), Denver, CO, USA, 2024.

[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.

[C2] 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.

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