Decai Shen 申德才

Ph. D. Student, September 2018~

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-()

E-mail: dcshen@sina.cn

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

Biography

Decai Shen received B.S degree in Qian Xuesen Experimental Class of Xidian University in 2018, and then he became a Ph.D. student in Electronic Engineering of Tsinghua University since September, 2018 under the supervision of Professor Linglong Dai. Mr. Shen’s current research interests include codebook design and CSI acquisition for reconfigurable intelligent surface (RIS) wireless communications.

Awards

  1. Graduate Star of Xidian University, 2018 (Highest Honors for Graduates, 10/5050, Top 1)
    2018年西电毕业生之星(以第一名获毕业生最高荣誉,获奖比例0.2%)
  2. IEEE ComSoc Student Competition Honorary Mention, 2019
    2019年IEEE ComSoc Student Competition优胜奖
  3. Excellent League Member of Tsinghua University, 2019
    2019年清华大学优秀共青团员
  4. Excellent teaching assistant of EE Department, 2020
    2020年电子系优秀助教
  5. Silver of the 48th International Exhibition of Inventions of Geneva, 2021
    2021年第48届日内瓦国际发明展银奖

Publications

Journal Papers

[J3] D. Shen and L. Dai, “Dimension reduced channel feedback for reconfigurable intelligent surface aided wireless communications,” IEEE Trans. Commun., vol. 69, no. 11, pp. 7748-7760, Nov. 2021.

[J2] X. Wei, D. Shen, and L. Dai, “Channel estimation for RIS assisted wireless communications: Part II - an improved method based on double-structured sparsity,” IEEE Commun. Lett., vol. 25, no. 5, pp. 1403-1407, May 2021. (Invited Paper)

[J1] X. Wei, D. Shen, and L. Dai, “Channel estimation for RIS assisted wireless communications: Part I - fundamentals, solutions, and future opportunities,” IEEE Commun. Lett., vol. 25, no. 5, pp. 1398-1402, May 2021. (Invited Paper)

Conference Papers

[C1] D.Shen and L. Dai, “Channel feedback for reconfigurable intelligent surface assisted wireless communications,” in Proc. IEEE Global Commun. Conf. (IEEE GLOBECOM’20), Taipei, Taiwan, Dec. 2020.