Zheng Wang
Orcid: 0000-0003-3528-558XAffiliations:
- Southeast University, National Mobile Communications Research Laboratory and the School of Information Science and Engineering, Nanjing, China
- Nanjing University of Aeronautics and Astronautics, NUAA, College of Electronic and Information Engineering, China (2017-2020)
- Huawei Technologies Company, Radio Access Network Research and Development Division, (2016-2017)
- Imperial College London, UK (PhD 2015)
According to our database1,
Zheng Wang
authored at least 57 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Wirel. Commun., October, 2024
Automatic High-Performance Neural Network Construction for Channel Estimation in IRS-Aided Communications.
IEEE Trans. Wirel. Commun., September, 2024
IEEE Trans. Veh. Technol., September, 2024
Access Point Selection and Beamforming Design for Cell-Free Network: From Fractional Programming to GNN.
IEEE Trans. Wirel. Commun., August, 2024
IEEE Trans. Veh. Technol., August, 2024
An Efficient Architecture Search for Scalable Beamforming Design in Cell-Free Systems.
IEEE Trans. Veh. Technol., July, 2024
Generalizing Projected Gradient Descent for Deep-Learning-Aided Massive MIMO Detection.
IEEE Trans. Wirel. Commun., March, 2024
IEEE Trans. Commun., January, 2024
IEEE Trans. Signal Process., 2024
Computationally Efficient Unsupervised Deep Learning for Robust Joint AP Clustering and Beamforming Design in Cell-Free Systems.
CoRR, 2024
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024
2023
Rapidly Converging Low-Complexity Iterative Transmit Precoders for Massive MIMO Downlink.
IEEE Trans. Commun., December, 2023
IEEE Trans. Commun., September, 2023
IEEE Trans. Veh. Technol., April, 2023
Cross-Layer Optimization of Access Point Selection and Beamforming in Non-Coherent Cell Free Network.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023
2022
A Statistical Linear Precoding Scheme Based on Random Iterative Method for Massive MIMO Systems.
IEEE Trans. Wirel. Commun., 2022
3D Compressed Spectrum Mapping With Sampling Locations Optimization in Spectrum-Heterogeneous Environment.
IEEE Trans. Wirel. Commun., 2022
Learning-Aided Markov Chain Monte Carlo Scheme for Spectrum Sensing in Cognitive Radio.
IEEE Trans. Veh. Technol., 2022
IEEE Trans. Signal Process., 2022
IEEE Trans. Commun., 2022
Sci. China Inf. Sci., 2022
Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022
2021
IEEE Trans. Veh. Technol., 2021
IEEE Trans. Signal Process., 2021
A New Method of Integer Parameter Estimation in Linear Models With Applications to GNSS High Precision Positioning.
IEEE Trans. Signal Process., 2021
IEEE Trans. Commun., 2021
IEEE Trans. Cogn. Commun. Netw., 2021
IEEE Commun. Lett., 2021
IEEE Commun. Lett., 2021
Recurrent Sparse MIMO Detection Network Based on Modified Projected Gradient Descent Method.
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021
Proceedings of the IEEE Information Theory Workshop, 2021
2020
IEEE Signal Process. Lett., 2020
Three-Dimensional Localization of RF Emitters: A Semantic Segmentation-based Image Processing Approach.
Proceedings of the 9th IEEE/CIC International Conference on Communications in China, 2020
2019
IEEE Trans. Veh. Technol., 2019
Lattice-Reduction-Aided Gibbs Algorithm for Lattice Gaussian Sampling: Convergence Enhancement and Decoding Optimization.
IEEE Trans. Signal Process., 2019
Lattice Gaussian Sampling by Markov Chain Monte Carlo: Bounded Distance Decoding and Trapdoor Sampling.
IEEE Trans. Inf. Theory, 2019
Markov Chain Monte Carlo Methods for Lattice Gaussian Sampling: Convergence Analysis and Enhancement.
IEEE Trans. Commun., 2019
Deterministic Sampling Decoding: Where Sphere Decoding Meets Lattice Gaussian Distribution.
CoRR, 2019
Learnable Markov Chain Monte Carlo Sampling Methods for Lattice Gaussian Distribution.
IEEE Access, 2019
The Bearing-Only Target localization via the Single UAV: Asymptotically Unbiased Closed-Form Solution and Path Planning.
IEEE Access, 2019
IEEE Access, 2019
Proceedings of the IEEE International Symposium on Information Theory, 2019
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2018
On the Geometric Ergodicity of Metropolis-Hastings Algorithms for Lattice Gaussian Sampling.
IEEE Trans. Inf. Theory, 2018
Markov chain Monte Carlo Methods For Lattice Gaussian Sampling: Lattice Reduction and Decoding Optimization.
CoRR, 2018
Information Measurement of Cognitive Communication Systems: The Introduction of Negative Cognitive Information.
IEEE Access, 2018
2017
Lattice Gaussian Sampling by Markov Chain Monte Carlo: Convergence Rate and Decoding Complexity.
CoRR, 2017
Proceedings of the 2017 IEEE Information Theory Workshop, 2017
2016
Proceedings of the 2016 IEEE Information Theory Workshop, 2016
Proceedings of the IEEE International Symposium on Information Theory, 2016
2015
Proceedings of the IEEE International Symposium on Information Theory, 2015
2014
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
2013
IEEE Trans. Commun., 2013
2012
Proceedings of the 2012 IEEE Information Theory Workshop, 2012