談曉思

發布者:沈如達發布時間:2021-11-08浏覽次數:3819

談曉思

郵箱:tanxiaosi@seu.edu.cn

個人簡介

談曉思,博士、講師、碩士生導師。2015年于美國德克薩斯農工大學數學系獲博士學位,2015年至2017年在德克薩斯農工大學石油工程學院擔任博士後研究員,2017年至2020年在beat365正版唯一擔任博士後研究員。2020年起擔任beat365正版唯一講師。

目前主要研究方向為基于人工智能的無線通信高效基帶處理算法與芯片實現,包括:基于貝葉斯學習的大規模MIMO檢測、信道編譯碼的高效算法與芯片實現,基于人工智能技術的基帶處理算法及其統一架構與芯片實現等。現主持1項國家自然科學基金、1項江蘇省雙創計劃(雙創博士)、1項南京市留學人員科技創新擇優資助項目及多項校級項目,另參與國家重點研發計劃等項目。近年來以第一作者身份在國内外學術期刊及重要會議上發表SCI/EI收錄論文數篇,并擔任TCOMTVTWCL等國際權威期刊審稿人。

歡迎對相關方向感興趣的本科、研究生同學加入!

代表性論文

Ø  X. Tan,H. Han, M. Li, K.   Sun, Y. Huang, X. You, and C. Zhang, “Approximate Expectation Propagation Massive MIMO Detector with   Weighted Neumann-Series,” IEEE Transactions on   Circuits and Systems II: Express Briefs, vol. 68, no. 2, pp 662-666,   2021.

Ø  X. Tan,W. Xu, K. Sun, Y.   Xu, Y. Zhang, X. You, and C. Zhang, “Improving Massive MIMO Message Passing   Detectors with Deep Neural Network,” IEEE Transactions on Vehicular   Technology, vol. 69, no. 2, pp 1267-1280, 2020.

Ø  X. Tan, W. Xu, Y. Zhang, Z.   Zhang, X. You, and C. Zhang, “Efficient Expectation Propagation Massive MIMO   Detector with Neumann-Series Approximation,” IEEE Transactions on Circuits   and Systems II: Express Briefs, vol. 67, no. 10, pp 1924-1928, 2020.

Ø  X. Tan, Y.   Ueng, Z. Zhang, X. You, and C. Zhang, “A Low-Complexity Massive MIMO   Detection Based on Approximate Expectation Propagation,” IEEE Transactions   on Vehicular Technology, vol. 68, no. 8, pp 7260-7272, 2019.

Ø  X. Tan, M.   Ding,Z. Ji, Z. Zhang, X. You, and C. Zhang,“An Improved Power   Expectation Propagation Detector for Massive MIMO Systems”, IEEE   Transactions on Vehicular Technology, 2023.

Ø  X. Tan, J. Jin,   K. Sun, Y. Xu, M. Li, Y. Zhang, Z. Zhang, X. You and C. Zhang, Enhanced   linear iterative detector for massive multiuser MIMO uplink. IEEE   Transactions on Circuits and Systems I: Regular Papers, 67, no. 2 (2019):   540-552.

Ø  H. Wang, B. Cheng, X. Tan, X. You and C. Zhang,   An Efficient Approximate Expectation Propagation Detector with   Block-Diagonal Neumann-Series, IEEE Transactions on Circuits   and Systems I: Regular Papers, vol. 70, no. 3, pp. 1403-1416, 2023.

Ø  Y. Ge, X. Tan, Z.   Ji, Z. Zhang, X. You, and C. Zhang, “Improving Approximate Expectation   Propagation Massive MIMO Detector with Deep Learning”, IEEE Wireless Communications   Letters, vol. 10, no. 10, pp 2145-2149, 2021.

Ø  X. You,   C. Zhang, X. Tan, S. Jin and H. Wu, AI for 5G: research   directions and paradigms. Science China Information Sciences, 62, no. 2   (2019): 21301.

 


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