[1] 国家自然科学基金青年基金项目，无线通信基带信号处理的深度学习算法与实现，2021.01- 2023.12，主持；

[2] 国家重点研发计划光电子与微电子器件及集成专项，随机计算新架构，2020.07 - 2024.06，子课题第一参与人;

代表性论文：

[1].   Xiaosi Tan, Weihong Xu,Kai Sun, Yunhao Xu, Yair Be’ery, Xiaohu You and Chuan Zhang*, "Improving massive MIMO message passingdetectors with deep neural network." IEEE Transactions on Vehicular Technology, 69, no. 2 (2019):1267-1280. (JCR1区，影响因子5.339，被引用22次)

[2].   Xiaosi Tan, Jiejun Jin,Kai Sun, Yunhao Xu, Muhao Li, Yaping Zhang, Zaichen Zhang, Xiaohu You and ChuanZhang*, "Enhanced linear iterativedetector for massive multiuser MIMO uplink." IEEE Transactions on Circuits and Systems I: Regular Papers, 67,no. 2 (2019): 540-552. (JCR1区，中科院1区，影响因子3.934)

[3].   Xiaosi Tan, Yeong-LuhUeng, Zaichen Zhang, Xiaohu You and Chuan Zhang*, "A low-complexity massive MIMO detectionbased on approximate expectation propagation." IEEE Transactions on Vehicular Technology, 68, no. 8 (2019):7260-7272. (JCR1区，影响因子5.339)

[4].   XiaosiTan, Huijun Han, Muhao Li, Kai Sun,Yongming Huang, Xiaohu You and Chuan Zhang*,"Approximate Expectation Propagation Massive MIMO Detector with WeightedNeumann-Series." IEEETransactions on Circuits and Systems II: Express Briefs, 68, no. 2 (2021):662-666. (JCR 2区，影响因子3.25)

[5].   XiaosiTan, Weihong Xu, Yaping Zhang, ZaichenZhang, Xiaohu You and Chuan Zhang*, "Efficient ExpectationPropagation Massive MIMO Detector with Neumann-Series Approximation,"in IEEE Transactions on Circuits and Systems II: Express Briefs,67, no. 10 (2021): 1924-1928. (JCR 2区，影响因子3.25)

[6].   Weihong Xu, Xiaosi Tan, Yair Be’ery, Yeong-Luh Ueng, Yongming Huang, Xiaohu You, and ChuanZhang, “Deep Learning-Aided Belief Propagation Decoder for Polar Codes.” IEEE Journal on Emerging and Selected Topicsin Circuits and Systems, 2020. (Early Access)

[7] Y. Ge, X. Tan, Z. Ji, Z. Zhang, X. You and C. Zhang, "Improving Approximate Expectation Propagation Massive MIMO Detector With Deep Learning," in IEEE Wireless Communications Letters, vol. 10, no. 10, pp. 2145-2149, Oct. 2021.

[8].   Xiaohu You,Chuan Zhang*, Xiaosi Tan, Shi Jin and Hequan Wu, "AI for 5G: researchdirections and paradigms." Science China InformationSciences, 62, no. 2 (2019): 21301. (被引用82次（包括预印本），入选中国电子学会“2020电子信息领域优秀科技论文”，SCIS2019年ESI高被引论文)

[9].   尤肖虎, 张川*, 谈晓思, 金石, 邬贺铨，“基于AI的5G技术——研究方向与范例.” 中国科学:信息科学, 48, no. 12(2018): 1589-1602. (CCF A类期刊)