Zhengxuan Liu

Orcid: 0000-0002-1144-2213

According to our database1, Zhengxuan Liu authored at least 13 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Trajectory Prediction Network of Autonomous Vehicles With Fusion of Historical Interactive Features.
IEEE Trans. Intell. Veh., January, 2024

2023
Evolution of residents' cooperative behavior in neighborhood renewal: An agent-based computational approach.
Comput. Environ. Urban Syst., October, 2023

RecMaL: Rectify the malware family label via hybrid analysis.
Comput. Secur., May, 2023

Early Intention Prediction of Lane-Changing Based on Dual Gaussian-Mixed Hidden Markov Models.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2021
Layout exploration for three-dimensional Networks-on-Chip: Chemical equilibrium simulation approach.
Microelectron. J., 2021

2019
Trajectory Planning and Safety Assessment of Autonomous Vehicles Based on Motion Prediction and Model Predictive Control.
IEEE Trans. Veh. Technol., 2019

Vector Perturbation Precoding Under Imperfect CSI and Inaccurate Power Scaling Factors.
IEEE Access, 2019

CSI Feedback Based on Spatial and Frequency Domains Compression for 5G Multi-User Massive MIMO Systems.
Proceedings of the 2019 IEEE/CIC International Conference on Communications in China, 2019

2018
Energy and spectrum efficient power allocation with NOMA in downlink HetNets.
Phys. Commun., 2018

2017
Joint Beamforming and Power Optimization With Iterative User Clustering for MISO-NOMA Systems.
IEEE Access, 2017

Power Allocation for Energy Efficiency Maximization in Downlink CoMP Systems with NOMA.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

2016
Performance Improvement of Iterative Demodulation and Decoding for Spatially Coupling Data Transmission by Joint Sparse Graph.
KSII Trans. Internet Inf. Syst., 2016

Fast convergence of joint demodulation and decoding based on joint sparse graph for spatially coupling data transmission.
Proceedings of the 27th IEEE Annual International Symposium on Personal, 2016


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