Low-Complexity Parameter Learning for OTFS Modulation Based Automotive Radar. - Chenwen Liu; Shengheng Liu; Zihuan Mao; Yongming Huang 001; Haiming Wang 001 (ICASSP, 2021)

Rank Minimization-Based Toeplitz Reconstruction for DoA Estimation Using Coprime Array. - Shengheng Liu; Zihuan Mao; Yimin D. Zhang; Yongming Huang 001 (IEEE Commun. Lett., 2021)

Cramér-Rao Bound of Joint DOA-Range Estimation for Coprime Frequency Diverse Arrays. - Zihuan Mao; Shengheng Liu; Si Qin; Yongming Huang 001 (Remote. Sens., 2022)

Joint DoA-Range Estimation Using Space-Frequency Virtual Difference Coarray. - Zihuan Mao; Shengheng Liu; Yimin D. Zhang; Leixin Han; Yongming Huang 001 (IEEE Trans. Signal Process., 2022)

Model-Driven Deep Neural Network for Enhanced AoA Estimation Using 5G gNB. - Shengheng Liu; Xingkang Li; Zihuan Mao; Peng Liu 020; Yongming Huang 001 (AAAI, 2024)

Access Point Deployment for Localizing accuracy and User Rate in Cell-Free Systems. - Fanfei Xu; Shengheng Liu; Zihuan Mao; Shangqing Shi; Dazhuan Xu; Dongming Wang 002; Yongming Huang 001 (MobiCom, 2024)

Model-driven deep neural network for enhanced direction finding with commodity 5G gNodeB. - Shengheng Liu; Zihuan Mao; Xingkang Li; Mengguan Pan; Peng Liu 020; Yongming Huang 001; Xiao-Hu Yu 001 (CoRR, 2024)

TRANM: Decoherenced DoA estimation for automotive radar using generalized sparse arrays. - Shengheng Liu; Zihuan Mao; Yiran Liu; Tai Fei; Markus Gardill; Yongming Huang 001 (Signal Process., 2025)

Model-Driven Deep Neural Network for Enhancing Direction Finding with Commodity 5G gNodeB. - Shengheng Liu; Zihuan Mao; Xingkang Li; Mengguan Pan; Peng Liu 020; Yongming Huang 001; Xiaohu You 001 (ACM Trans. Sens. Networks, 2025)