Jun Zhang

Orcid: 0000-0002-9647-0941

Affiliations:

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 36 papers between 2010 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

"3-2-1" PMP: Adding an Extra Pattern to Dual-Band Phase Shift Profilometry for Higher Precision 3-D Imaging.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2024

BPDQ$_{p}$-Net: A Deep Unfolding Method for Quantized Compressed Sensing.

[BibT_eX]

[DOI]

Luhua Wang

Jun Zhang

IEEE Signal Process. Lett., 2024

Uncalibrated Adaptive Robot Visual Servoing on Image Space with Parameter Convergence.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2024

2023

CS-LeCT: Chained Secure and Low-Energy Consumption Data Transmission Based on Compressive Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2023

CS-CPA: Packet Loss Recovery for Audio Multimedia Streaming Based on Chained Compressed Sensing.

[BibT_eX]

[DOI]

Jiaxin Zhou

Jun Zhang

Proceedings of the 5th International Symposium on Signal Processing Systems, 2023

2022

Compressive Sensing-Based Power Allocation Optimization for Energy Harvesting IoT Nodes.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2022

Dynamic User Activity and Data Detection for Grant-Free NOMA via Weighted ℓ2, 1 Minimization.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2022

Real-Time Deep Compressed Sensing Reconstruction for Electrocardiogram Signals.

[BibT_eX]

[DOI]

Weibin Cao

Jun Zhang

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.

[BibT_eX]

[DOI]

Zhongjun Liu

Jun Zhang

Luhua Wang

Proceedings of the 5th International Conference on Algorithms, 2022

2021

Deep Unfolding With Weighted ℓ₂ Minimization for Compressive Sensing.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

A Novel Spec-CNN-CTC Model for End-to-End Speech Recognition.

[BibT_eX]

[DOI]

Jingwen Xue

Jun Zhang

Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

2020

Constructions of Flexible-Size Deterministic Measurement Matrices Using Protograph LDPC Codes and Hadamard Codes.

[BibT_eX]

[DOI]

Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

From Bottom to Top: A Coordinated Feature Representation Method for Speech Recognition.

[BibT_eX]

[DOI]

Lixia Zhou

Jun Zhang

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019

Compressive Sensing for Joint User Activity and Data Detection in Grant-Free NOMA.

[BibT_eX]

[DOI]

Jun Zhang

Yongping Pan

Jie Xu

IEEE Wirel. Commun. Lett., 2019

Deep Nearest Class Mean Model for Incremental Odor Classification.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2019

Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources Based on Matrix Factorization.

[BibT_eX]

[DOI]

Srikantan S. Nagarajan

Yuanqing Li

IEEE Trans. Biomed. Eng., 2019

Sparse and heuristic support vector machine for binary classifier and regressor fusion.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2019

Sparse Signal Reconstruction With Statistical Prior Information: A Data-Driven Method.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

Support Recovery From Noisy Random Measurements via Weighted ℓ1 Minimization.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2018

Multichannel Electrocardiogram Reconstruction in Wireless Body Sensor Networks Through Weighted ℓ1, 2 Minimization.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2018

Deterministic construction of sparse binary matrices via incremental integer optimization.

[BibT_eX]

[DOI]

Inf. Sci., 2018

Robust model predictive control for constrained continuous-time nonlinear systems.

[BibT_eX]

[DOI]

Int. J. Control, 2018

Automatic Epilepsy Detection Based on Wavelets Constructed From Data.

[BibT_eX]

[DOI]

IEEE Access, 2018

2017

Characteristic Model-Based Robust Model Predictive Control for Hypersonic Vehicles with Constraints.

[BibT_eX]

[DOI]

Jun Zhang

Tairen Sun

Yongping Pan

Frontiers Robotics AI, 2017

Batch image alignment via subspace recovery based on alternative sparsity pursuit.

[BibT_eX]

[DOI]

Comput. Vis. Media, 2017

Robust model predictive control of the automatic operation boats for aquaculture.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2017

2016

Support recovery from noisy random measurements via weighted ℓ1 minimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2016

Sufficient conditions for sparse recovery by weighted ℓ1-constrained quadratic programming.

[BibT_eX]

[DOI]

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 ℓ1 Minimization Reconstruction.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2015

Deterministic Construction of Compressed Sensing Matrices from Protograph LDPC Codes.

[BibT_eX]

[DOI]

Jun Zhang

Guojun Han

Yi Fang

IEEE Signal Process. Lett., 2015

A new result of the scaling law of weighted L1 minimization.

[BibT_eX]

[DOI]

CoRR, 2015

2012

Efficient wavelet networks for function learning based on adaptive wavelet neuron selection.

[BibT_eX]

[DOI]

Jun Zhang

Xieping Gao

Yuanqing Li

IET Signal Process., 2012

Effect of errors in partially known support on the recoverability of modified compressive sensing.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2012

Recoverability Analysis for Modified Compressive Sensing with Partially Known Support

[BibT_eX]

[DOI]

CoRR, 2012

2011

Noisy Sparse Recovery Based on Parameterized Quadratic Programming by Thresholding.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2011

2010

A Sparse Infrastructure of Wavelet Network for Nonparametric Regression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks, 2010

Jun Zhang

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