Hao Jiang 蒋浩

Ph. D. Student, September 2018~June 2023

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

Research Interests: Machine Learning for Wireless Communications, Prototype Development

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

Tel: +86-10-62795153-805

E-mail: jiang-h14@mails.tsinghua.edu.cn

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

Biography

Hao Jiang received B.S degree in the Department of Physics, Tsinghua University in 2018, and then he became a PhD student in the Department of Electronic Engineering, Tsinghua University since September, 2018. His research interests are machine learning for wireless communications and prototype development.

Awards

  1. Excellent member of the Communist Youth League of Tsinghua
    清华大学优秀共青团员
  2. Outstanding student leader of Tsinghua
    清华大学优秀学生干部
  3. School scholarship- Volunteer public service excellence award
    校设奖学金-志愿公益优秀奖
  4. School scholarship- Social work excellence award.
    校设奖学金-社会工作优秀奖
  5. School scholarship- Learning Achievement Award
    校设奖学金-学习进步奖

Publications

Journal Papers

[J5] M. Cui, H. Jiang, Y. Chen, Y. Du, and L. Dai, “Continuous-time channel prediction based on tensor neural ordinary differential equation,” China Commun., vol. 21, no. 1, pp. 163-174, Jan. 2024.

[J4] H. Jiang and L. Dai, “Transformer-based downlink precoding design in massive MIMO systems for 5G-Advanced and 6G,” Sci. China. Inf. Sci., vol. 66, no. 9, pp. 199301, Sep. 2023.

[J3] H. Jiang, M. Cui, D. W. K. Ng, and L. Dai, “Accurate channel prediction based on transformer: Making mobility negligible,” IEEE J. Sel. Areas Commun., vol. 40, no. 9, pp. 2717-2732, Sep. 2022.

[J2] H. Jiang, L. Dai, M. Hao, and R. Mackenzie, “End-to-end learning for RIS-aided communication systems,” IEEE Trans. Veh. Technol., vol. 71, no. 6, pp. 6778-6783, Jun. 2022.

[J1] H. Jiang, S. Bi, L. Dai, H. Wang, and J. Zhang, “Residual-aided end-to-end learning of communication system without known channel,” IEEE Trans. Cogn. Commun. Netw., vol. 8, no. 2, pp. 631-641, Jun. 2022.

Conference Papers

[C2] H. Jiang, Y. Lu, X. Li, B. Wang, Y. Zhou, and L. Dai, “Attention-based hybrid precoding for mmWave MIMO systems,” in 2021 IEEE Information Theory Workshop (IEEE ITW’21), 2021. (Invited Paper)

[C1] H. Jiang and L. Dai, “End-to-end learning of communication system without known channel,” in Proc. IEEE Int. Conf. Commun. (IEEE ICC’21), Montreal, Canada, Jun. 2021.