Han Zhang

Orcid: 0000-0002-0171-0819

Affiliations:

University of California at Davis, Department of Electrical and Computer Engineering, CA, USA

According to our database¹, Han Zhang authored at least 35 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

Fast Compressed Wideband Spectrum Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2024

Fundamental Limitation of Semantic Communications: Neural Estimation for Rate-Distortion.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Fundamental Limitation of Semantic Communications: Neural Estimation for Rate-Distortion.

[BibT_eX]

[DOI]

J. Commun. Inf. Networks, December, 2023

Numerical evaluation on sub-Nyquist spectrum reconstruction methods.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., December, 2023

Adversarial Autoencoder Empowered Joint Anomaly Detection and Signal Reconstruction From Sub-Nyquist Samples.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., June, 2023

Dynamic Clustering and Resource Allocation Using Deep Reinforcement Learning for Smart-Duplex Networks.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2023

Neural Estimation for Rate- Distortion Function in Semantic Communications.

[BibT_eX]

[DOI]

Proceedings of the IEEE Globecom Workshops 2023, 2023

2022

Machine Learning Empowered Spectrum Sensing Under a Sub-Sampling Framework.

[BibT_eX]

[DOI]

Han Zhang

Jian Yang

Yue Gao

IEEE Trans. Wirel. Commun., 2022

Compressed Random Access for Noncoherent Massive Machine-Type Communications With Energy Modulation.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2022

Approaching Sub-Nyquist Boundary: Optimized Compressed Spectrum Sensing Based on Multicoset Sampler for Multiband Signal.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Noncoherent Massive Random Access for Inhomogeneous Networks: From Message Passing to Deep Learning.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2022

Covert Beamforming Design for Intelligent-Reflecting-Surface-Assisted IoT Networks.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

Multicast Scheduling for Multi-Message over Multi-Channel: A Permutation-based Wolpertinger Deep Reinforcement Learning Method.

[BibT_eX]

[DOI]

CoRR, 2022

Multicast Schedule for Multi-Message over Multi-Channel: A Permutation-based Wolpertinger Deep Reinforcement Learning Method.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CIC International Conference on Communications in China, 2022

2021

Measuring Sparsity of Wireless Channels.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., 2021

Energy Efficiency of Two-Way Communications Under Various Duplex Modes.

[BibT_eX]

[DOI]

Wei Guo

Han Zhang

Chuan Huang

IEEE Internet Things J., 2021

Sub-Nyquist spectrum sensing and learning challenge.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2021

2020

Nonorthogonal Multiple Access for Visible Light Communication IoT Networks.

[BibT_eX]

[DOI]

Wirel. Commun. Mob. Comput., 2020

Design of Noncoherent Communications: From Statistical Method to Machine Learning.

[BibT_eX]

[DOI]

IEEE Wirel. Commun., 2020

Feeder Communication for Integrated Networks.

[BibT_eX]

[DOI]

IEEE Wirel. Commun., 2020

Design of energy modulation massive SIMO transceivers via machine learning.

[BibT_eX]

[DOI]

J. Commun. Inf. Networks, 2020

Noncoherent Energy-Modulated Massive SIMO in Multipath Channels: A Machine Learning Approach.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2020

From Spectrum Wavelet to Vertex Propagation: Graph Convolutional Networks Based on Taylor Approximation.

[BibT_eX]

[DOI]

CoRR, 2020

Multicast Transmissions With Full-Duplex Amplify-and-Forward User Cooperation.

[BibT_eX]

[DOI]

Linsong Du

Han Zhang

Chuan Huang

IEEE Access, 2020

Multicast Transmissions with Full-Duplex Amplify-and-Forward Receiver Cooperations.

[BibT_eX]

[DOI]

Linsong Du

Han Zhang

Chuan Huang

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Compressed Multiple Random Access with Energy Modulation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2020

2019

Multi-Antenna Channel Interpolation via Tucker Decomposed Extreme Learning Machine.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2019

Deep Learning for Signal Demodulation in Physical Layer Wireless Communications: Prototype Platform, Open Dataset, and Analytics.

[BibT_eX]

[DOI]

IEEE Access, 2019

Signal Demodulation With Machine Learning Methods for Physical Layer Visible Light Communications: Prototype Platform, Open Dataset, and Algorithms.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

Data Driven Automatic Modulation Classification via Dictionary Learning.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2018

MIMO Channel Interpolation via Tucker Decomposed Extreme Learning Machine.

[BibT_eX]

[DOI]

CoRR, 2018

Automatic Modulation Classification with Gaussian Distributed Frequency Offset.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CIC International Conference on Communications in China, 2018

A Novel Sparse Extreme Learning Machine based Classifier.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CIC International Conference on Communications in China, 2018

Tensor-based Spectral Analysis of Cascading Failures over Multilayer Complex Systems.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017

Feature Selection with Interactions in Logistic Regression Models using Multivariate Synergies for a GWAS Application.

[BibT_eX]

[DOI]

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

Han Zhang

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