谈晓思

发布者：沈如达发布时间：2021-11-08浏览次数：3819

谈晓思

邮箱：tanxiaosi@seu.edu.cn

个人简介

谈晓思，博士、讲师、硕士生导师。2015年于美国德克萨斯农工大学数学系获博士学位，2015年至2017年在德克萨斯农工大学石油工程学院担任博士后研究员，2017年至2020年在金沙js800000担任博士后研究员。2020年起担任金沙js800000讲师。

目前主要研究方向为基于人工智能的无线通信高效基带处理算法与芯片实现，包括：基于贝叶斯学习的大规模MIMO检测、信道编译码的高效算法与芯片实现，基于人工智能技术的基带处理算法及其统一架构与芯片实现等。现主持1项国家自然科学基金、1项江苏省双创计划（双创博士）、1项南京市留学人员科技创新择优资助项目及多项校级项目，另参与国家重点研发计划等项目。近年来以第一作者身份在国内外学术期刊及重要会议上发表SCI/EI收录论文数篇，并担任TCOM、TVT、WCL等国际权威期刊审稿人。

欢迎对相关方向感兴趣的本科、研究生同学加入！

代表性论文

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.