Jun Zhang
Orcid: 0000-0002-9647-0941Affiliations:
- Guangdong University of Technology, School of Information Engineering, Guangzhou, China
- University of Southern California, Los Angeles, CA, USA (2015 - 2016)
- South China University of Technology, Guangzhou, China (PhD 2012)
According to our database1,
Jun Zhang
authored at least 33 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Signal Process. Lett., 2024
2023
CS-LeCT: Chained Secure and Low-Energy Consumption Data Transmission Based on Compressive Sensing.
IEEE Trans. Instrum. Meas., 2023
CS-CPA: Packet Loss Recovery for Audio Multimedia Streaming Based on Chained Compressed Sensing.
Proceedings of the 5th International Symposium on Signal Processing Systems, 2023
2022
Compressive Sensing-Based Power Allocation Optimization for Energy Harvesting IoT Nodes.
IEEE Trans. Wirel. Commun., 2022
Dynamic User Activity and Data Detection for Grant-Free NOMA via Weighted ℓ<sub>2, 1</sub> Minimization.
IEEE Trans. Wirel. Commun., 2022
Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022
Combining Recurrent and Convolution structures: A Deep Compressed Sensing Network for Sparse Signal Recovery.
Proceedings of the 5th International Conference on Algorithms, 2022
2021
IEEE Internet Things J., 2021
Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021
2020
From Bottom to Top: A Coordinated Feature Representation Method for Speech Recognition.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
2019
IEEE Wirel. Commun. Lett., 2019
IEEE Trans. Instrum. Meas., 2019
Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources Based on Matrix Factorization.
IEEE Trans. Biomed. Eng., 2019
Sparse and heuristic support vector machine for binary classifier and regressor fusion.
Int. J. Mach. Learn. Cybern., 2019
Sparse Signal Reconstruction With Statistical Prior Information: A Data-Driven Method.
IEEE Access, 2019
2018
Support Recovery From Noisy Random Measurements via Weighted ℓ<sub>1</sub> Minimization.
IEEE Trans. Signal Process., 2018
Multichannel Electrocardiogram Reconstruction in Wireless Body Sensor Networks Through Weighted ℓ<sub>1, 2</sub> Minimization.
IEEE Trans. Instrum. Meas., 2018
Deterministic construction of sparse binary matrices via incremental integer optimization.
Inf. Sci., 2018
Int. J. Control, 2018
IEEE Access, 2018
2017
Characteristic Model-Based Robust Model Predictive Control for Hypersonic Vehicles with Constraints.
Frontiers Robotics AI, 2017
Comput. Vis. Media, 2017
Comput. Electron. Agric., 2017
2016
Proceedings of the IEEE International Symposium on Information Theory, 2016
Sufficient conditions for sparse recovery by weighted ℓ1-constrained quadratic programming.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
Energy-Efficient ECG Compression on Wireless Biosensors via Minimal Coherence Sensing and Weighted ℓ<sub>1</sub> Minimization Reconstruction.
IEEE J. Biomed. Health Informatics, 2015
Deterministic Construction of Compressed Sensing Matrices from Protograph LDPC Codes.
IEEE Signal Process. Lett., 2015
2012
Efficient wavelet networks for function learning based on adaptive wavelet neuron selection.
IET Signal Process., 2012
Effect of errors in partially known support on the recoverability of modified compressive sensing.
EURASIP J. Adv. Signal Process., 2012
Recoverability Analysis for Modified Compressive Sensing with Partially Known Support
CoRR, 2012
2011
EURASIP J. Adv. Signal Process., 2011
2010
Proceedings of the Advances in Neural Networks, 2010