Zheng Wang

According to our database, Zheng Wang authored at least 45 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Generalizing Projected Gradient Descent for Deep-Learning-Aided Massive MIMO Detection.

Lanxin He, Zheng Wang, Shaoshi Yang, Tao Liu, Yongming Huang

IEEE Trans. Wirel. Commun., March, 2024

Probabilistic Searching for MIMO Detection Based on Lattice Gaussian Distribution.

Zheng Wang, Cong Ling, Shi Jin, Yongming Huang, Feifei Gao

IEEE Trans. Commun., January, 2024

Randomized Iterative Sampling Decoding Algorithm For Large-Scale MIMO Detection.

Zheng Wang, Yili Xia, Cong Ling, Yongming Huang

IEEE Trans. Signal Process., 2024

2023

Rapidly Converging Low-Complexity Iterative Transmit Precoders for Massive MIMO Downlink.

Zheng Wang, Jiaheng Wang, Zhen Gao, Yongming Huang, Derrick Wing Kwan Ng, Lajos Hanzo

IEEE Trans. Commun., December, 2023

A New Randomized Iterative Detection Algorithm for Uplink Large-Scale MIMO Systems.

Zheng Wang, Wei Xu, Yili Xia, Qingjiang Shi, Yongming Huang

IEEE Trans. Commun., September, 2023

Compressed Wideband Spectrum Mapping in 3D Spectrum-Heterogeneous Environment.

Feng Shen, Guoru Ding, Qihui Wu, Zheng Wang

IEEE Trans. Veh. Technol., April, 2023

2022

A Statistical Linear Precoding Scheme Based on Random Iterative Method for Massive MIMO Systems.

Zheng Wang, Robert M. Gower, Cheng Zhang, Shanxiang Lyu, Yili Xia, Yongming Huang

IEEE Trans. Wirel. Commun., 2022

3D Compressed Spectrum Mapping With Sampling Locations Optimization in Spectrum-Heterogeneous Environment.

Feng Shen, Zheng Wang, Guoru Ding, Kezhi Li, Qihui Wu

IEEE Trans. Wirel. Commun., 2022

Learning-Aided Markov Chain Monte Carlo Scheme for Spectrum Sensing in Cognitive Radio.

Zheng Wang, Shanxiang Lyu, Ling Liu, Yili Xia

IEEE Trans. Veh. Technol., 2022

Randomized Iterative Methods for Low-Complexity Large-Scale MIMO Detection.

Zheng Wang, Robert M. Gower, Yili Xia, Lanxin He, Yongming Huang

IEEE Trans. Signal Process., 2022

Better Lattice Quantizers Constructed From Complex Integers.

Shanxiang Lyu, Zheng Wang, Cong Ling, Hao Chen

IEEE Trans. Commun., 2022

Quantum-safe cryptography: crossroads of coding theory and cryptography.

Jiabo Wang, Ling Liu, Shanxiang Lyu, Zheng Wang, Mengfan Zheng, Fuchun Lin, Zhao Chen, Liuguo Yin, Xiaofu Wu, Cong Ling

Sci. China Inf. Sci., 2022

2021

Boosting Low-Complexity Vector Perturbation Variants Based on Rectangular Shaping.

Shanxiang Lyu, Zheng Wang, Ling Liu, Hongliang He, Guanggang Geng

IEEE Trans. Veh. Technol., 2021

Expectation Propagation-Based Sampling Decoding: Enhancement and Optimization.

Zheng Wang, Shanxiang Lyu, Yili Xia, Qihui Wu

IEEE Trans. Signal Process., 2021

A New Method of Integer Parameter Estimation in Linear Models With Applications to GNSS High Precision Positioning.

Zheng Wang, Yili Xia, Jianfeng Li, Qihui Wu

IEEE Trans. Signal Process., 2021

Sliced Lattice Gaussian Sampling: Convergence Improvement and Decoding Optimization.

Zheng Wang, Ling Liu, Cong Ling

IEEE Trans. Commun., 2021

Lattice-Based mmWave Hybrid Beamforming.

Shanxiang Lyu, Zheng Wang, Zhen Gao, Hongliang He, Lajos Hanzo

IEEE Trans. Commun., 2021

Cooperative Topology Sensing of Wireless Networks With Distributed Sensors.

Zitong Liu, Guoru Ding, Zheng Wang, Shilian Zheng, Jiachen Sun, Qihui Wu

IEEE Trans. Cogn. Commun. Netw., 2021

Learning Vector Quantization-Aided Detection for MIMO Systems.

Zheng Wang, Xiong Xu, Xiaodan Qiang, Kezhi Li

IEEE Commun. Lett., 2021

On Solving the Shortest Basis Problem Based on Sequential Reduction.

Shanxiang Lyu, Zheng Wang, Ling Liu

IEEE Commun. Lett., 2021

Recurrent Sparse MIMO Detection Network Based on Modified Projected Gradient Descent Method.

Lanxin He, Tao Liu, Zheng Wang

Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

Reinforcement Learning-Aided Markov Chain Monte Carlo For Lattice Gaussian Sampling.

Zheng Wang, Yili Xia, Shanxiang Lyu, Cong Ling

Proceedings of the IEEE Information Theory Workshop, 2021

2020

Dynamic Markov Chain Monte Carlo-Based Spectrum Sensing.

Zheng Wang, Ling Liu, Kezhi Li

IEEE Signal Process. Lett., 2020

3D Spectrum Mapping Based on ROI-Driven UAV Deployment.

Qihui Wu, Feng Shen, Zheng Wang, Guoru Ding

IEEE Netw., 2020

2019

UAV-Based 3D Spectrum Sensing in Spectrum-Heterogeneous Networks.

Feng Shen, Guoru Ding, Zheng Wang, Qihui Wu

IEEE Trans. Veh. Technol., 2019

Lattice-Reduction-Aided Gibbs Algorithm for Lattice Gaussian Sampling: Convergence Enhancement and Decoding Optimization.

Zheng Wang, Yang Huang, Shanxiang Lyu

IEEE Trans. Signal Process., 2019

Lattice Gaussian Sampling by Markov Chain Monte Carlo: Bounded Distance Decoding and Trapdoor Sampling.

Zheng Wang, Cong Ling

IEEE Trans. Inf. Theory, 2019

Markov Chain Monte Carlo Methods for Lattice Gaussian Sampling: Convergence Analysis and Enhancement.

Zheng Wang

IEEE Trans. Commun., 2019

Deterministic Sampling Decoding: Where Sphere Decoding Meets Lattice Gaussian Distribution.

Zheng Wang, Cong Ling, Shi Jin

CoRR, 2019

Learnable Markov Chain Monte Carlo Sampling Methods for Lattice Gaussian Distribution.

Zheng Wang, Shanxiang Lyu, Ling Liu

IEEE Access, 2019

Robust Long-Term Spectrum Prediction With Missing Values and Sparse Anomalies.

Chao Ge, Zheng Wang, Xiaofei Zhang

IEEE Access, 2019

Slice Sampling for Lattice Gaussian Distribution.

Zheng Wang, Cong Ling

Proceedings of the IEEE International Symposium on Information Theory, 2019

Enhanced Vector Perturbation Precoding Based on Adaptive Query Points.

Shanxiang Lyu, Zheng Wang, Bingo Wing-Kuen Ling, Jinming Wen

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018

On the Geometric Ergodicity of Metropolis-Hastings Algorithms for Lattice Gaussian Sampling.

Zheng Wang, Cong Ling

IEEE Trans. Inf. Theory, 2018

Markov chain Monte Carlo Methods For Lattice Gaussian Sampling: Lattice Reduction and Decoding Optimization.

Zheng Wang, Yang Huang, Shanxiang Lyu

CoRR, 2018

Information Measurement of Cognitive Communication Systems: The Introduction of Negative Cognitive Information.

Qihui Wu, Lizhen Chen, Zheng Wang, Guoru Ding, Linyuan Zhang, Xiaofei Zhang

IEEE Access, 2018

2017

Lattice Gaussian Sampling by Markov Chain Monte Carlo: Convergence Rate and Decoding Complexity.

Zheng Wang, Cong Ling

CoRR, 2017

On the geometric ergodicity of Gibbs algorithm for lattice Gaussian sampling.

Zheng Wang, Cong Ling

Proceedings of the 2017 IEEE Information Theory Workshop, 2017

2016

Symmetric Metropolis-within-Gibbs algorithm for lattice Gaussian sampling.

Zheng Wang, Cong Ling

Proceedings of the 2016 IEEE Information Theory Workshop, 2016

Further results on independent Metropolis-Hastings-Klein sampling.

Zheng Wang, Cong Ling

Proceedings of the IEEE International Symposium on Information Theory, 2016

2015

Independent Metropolis-Hastings-Klein algorithm for lattice Gaussian sampling.

Zheng Wang, Cong Ling

Proceedings of the IEEE International Symposium on Information Theory, 2015

2014

Markov chain Monte Carlo algorithms for lattice Gaussian sampling.

Zheng Wang, Cong Ling, Guillaume Hanrot

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013

Decoding by Sampling - Part II: Derandomization and Soft-Output Decoding.

Zheng Wang, Shuiyin Liu, Cong Ling

IEEE Trans. Commun., 2013

Decoding by Sampling II: Derandomization and Soft-output Decoding

Zheng Wang, Shuiyin Liu, Cong Ling

CoRR, 2013

2012

Derandomized sampling algorithm for lattice decoding.

Zheng Wang, Cong Ling

Proceedings of the 2012 IEEE Information Theory Workshop, 2012