Fast convergence of joint demodulation and decoding based on joint sparse graph for spatially coupling data transmission. - Zhengxuan Liu; Yanyan Guo; Guixia Kang; Zhongwei Si; Ningbo Zhang (PIMRC, 2016)

Performance Improvement of Iterative Demodulation and Decoding for Spatially Coupling Data Transmission by Joint Sparse Graph. - Zhengxuan Liu; Guixia Kang; Zhongwei Si; Ningbo Zhang (KSII Trans. Internet Inf. Syst., 2016)

Power Allocation for Energy Efficiency Maximization in Downlink CoMP Systems with NOMA. - Zhengxuan Liu; Guixia Kang; Lei Lei 001; Ningbo Zhang; Shuang Zhang 009 (WCNC, 2017)

Joint Beamforming and Power Optimization With Iterative User Clustering for MISO-NOMA Systems. - Zhengxuan Liu; Lei Lei 001; Ningbo Zhang; Guixia Kang; Symeon Chatzinotas (IEEE Access, 2017)

Energy and spectrum efficient power allocation with NOMA in downlink HetNets. - Shuang Zhang 009; Ningbo Zhang; Guixia Kang; Zhengxuan Liu (Phys. Commun., 2018)

CSI Feedback Based on Spatial and Frequency Domains Compression for 5G Multi-User Massive MIMO Systems. - Zhengxuan Liu; Shaohui Sun; Qiubin Gao; Hui Li (ICCC, 2019)

Vector Perturbation Precoding Under Imperfect CSI and Inaccurate Power Scaling Factors. - Liutong Du; Lihua Li 001; Ping Zhang 003; Deshan Miao; Zhengxuan Liu (IEEE Access, 2019)

Trajectory Planning and Safety Assessment of Autonomous Vehicles Based on Motion Prediction and Model Predictive Control. - Yijing Wang 001; Zhengxuan Liu; Zhiqiang Zuo 001; Zheng Li; Li Wang 034; Xiaoyuan Luo (IEEE Trans. Veh. Technol., 2019)

Layout exploration for three-dimensional Networks-on-Chip: Chemical equilibrium simulation approach. - Zhengxuan Liu; Guozhi Song; Yijie Zhou; Zhihui Zhang; Fangyuan Cheng (Microelectron. J., 2021)

Early Intention Prediction of Lane-Changing Based on Dual Gaussian-Mixed Hidden Markov Models. - Zheng Li; Yijing Wang 001; Zhiqiang Zuo 001; Zhengxuan Liu; Yining Chen; Hongchao Li (CDC, 2023)

RecMaL: Rectify the malware family label via hybrid analysis. - Wang Yang; Mingzhe Gao; Ligeng Chen; Zhengxuan Liu; Lingyun Ying (Comput. Secur., 2023)

Evolution of residents' cooperative behavior in neighborhood renewal: An agent-based computational approach. - Ruopeng Huang; Guiwen Liu; Kaijian Li; Zhengxuan Liu; Xinyue Fu; Jun Wen (Comput. Environ. Urban Syst., 2023)

Interaction-Aware Hierarchical Representation of Multi-Vehicle Reinforcement Learning for Cooperative Control in Dense Mixed Traffic. - Yuxin Cai; Zhengxuan Liu; Xiangkun He; Zhiqiang Zuo 001; Wei-Yun Yau; Chen Lv (ITSC, 2024)

Trajectory Prediction Network of Autonomous Vehicles With Fusion of Historical Interactive Features. - Zhiqiang Zuo 001; Xinyu Wang; Songlin Guo; Zhengxuan Liu; Zheng Li; Yijing Wang 001 (IEEE Trans. Intell. Veh., 2024)