オープン アクセスを義務付けられた論文 - Jian Wang (王健)詳細
一般には非公開: 4 件
Optimal Restricted Isometry Condition of Normalized Sampling Matrices for Exact Sparse Recovery with Orthogonal Least Squares
J Kim, J Wang, B Shim
IEEE Trans. Signal Process. 69, 1521 - 1536, 2021
委任: Chinese Academy of Sciences, National Natural Science Foundation of China
Nearly Optimal Restricted Isometry Condition for Rank Aware Order Recursive Matching Pursuit
J Kim, J Wang, B Shim
IEEE Transactions on Signal Processing 67 (17), 4449 - 4463, 2019
委任: National Natural Science Foundation of China
DEMO: A flexible de-artifacting module for compressed sensing MRI
Y Zhang, X Mao, J Wang, W Liu
IEEE Journal of Selected Topics in Signal Processing 16 (4), 725-736, 2022
委任: National Natural Science Foundation of China
3D-GSPR: An Effective Algorithm for 3D Phase Retrieval
L Lu, M Xu, J Wang
2021 13th International Symposium on Antennas, Propagation and EM Theory …, 2021
委任: National Natural Science Foundation of China
一般公開: 20 件
A sharp condition for exact support recovery of with orthogonal matching pursuit
J Wen, Z Zhou, J Wang, X Tang, Q Mo
IEEE Trans. Signal Process. 65 (6), 1370-1382, 2017
委任: National Natural Science Foundation of China
Recovery of Sparse Signals via Generalized Orthogonal Matching Pursuit: A New Analysis
J Wang, S Kwon, P Li, B Shim
IEEE Trans. Signal Process. 64 (4), 1076-1089, 2016
委任: US National Science Foundation, National Natural Science Foundation of China
Nearly Optimal Bounds for Orthogonal Least Squares
J Wen, J Wang, Q Zhang
IEEE Trans. Signal Process. 65 (20), 5347--5356, 2017
委任: National Natural Science Foundation of China
Recovery of Sparse Signals Using Multiple Orthogonal Least Squares
J Wang, P Li
IEEE Trans. Signal Process. 65 (8), 2049-2062, 2017
委任: US National Science Foundation, US Department of Defense
Support Recovery with Orthogonal Matching Pursuit in the Presence of Noise
J Wang
IEEE Trans. Signal Process. 63 (21), 5868-5877, 2015
委任: US Department of Energy
Exact recovery of sparse signals using orthogonal matching pursuit: How many iterations do we need?
J Wang, B Shim
IEEE Trans. Signal Process., 64 (16), 4194-4202, 2016
委任: National Natural Science Foundation of China
Ghost imaging based on Y-net: A dynamic coding and decoding approach
R Zhu, H Yu, Z Tan, R Lu, SS Han, Z Huang, J Wang
Optics Express 28 (12), 17556-17569, 2020
委任: National Natural Science Foundation of China
Joint Sparse Recovery Using Signal Space Matching Pursuit
J Kim, J Wang, L Nguyen, B Shim
IEEE Transactions on Information Theory, 2020
委任: National Natural Science Foundation of China
Preconditioned deconvolution method for high-resolution ghost imaging
Z Tong, Z Liu, C Hu, J Wang, S Han
Photonics Research 9 (6), 1069-1077, 2021
委任: Chinese Academy of Sciences, National Natural Science Foundation of China
Optimization of light fields in ghost imaging using dictionary learning
SH Chenyu Hu, Zhisheng Tong, Zhentao Liu, Zengfeng Huang, Jian Wang
Optics Express 27 (20), 28734-28749,, 2019
委任: National Natural Science Foundation of China
On the Fundamental Limit of Multipath Matching Pursuit
H Li, J Wang, X Yuan
IEEE Journal of Selected Topics in Signal Processing, 1-1, 2018
委任: Chinese Academy of Sciences, National Natural Science Foundation of China
The Node-Similarity Distribution of Complex Networks and Its Applications in Link Prediction
C Pu, J Li, J Wang, Q Tony
arxiv.org/pdf/1710.10738, 2019
委任: Chinese Academy of Sciences, National Natural Science Foundation of China
Optimal Power Control for Transmitting Correlated Sources with Energy Harvesting Constraints
Y Dong, Z Chen, J Wang, B Shim
IEEE Transactions on Wireless Communications 17 (1), 461-476, 2018
委任: National Natural Science Foundation of China
NAD (P) H Activated Fluorescent Probe for Rapid Intraoperative Pathological Diagnosis and Tumor Histological Grading
C Yang, C Jiang, M Yang, Q Bai, Y Zhen, Y Zhang, W Yin, J Wang, X Zhou, ...
Chemical & Biomedical Imaging 1 (8), 738-749, 2023
委任: National Natural Science Foundation of China
Subspace Phase Retrieval
M Xu, D Dong, J Wang
IEEE Transactions on Information Theory (DOI:10.1109/TIT.2024.3386821), 2024
委任: National Natural Science Foundation of China
Uncertainty modeling in generative compressed sensing
Y Zhang, M Xu, X Mao, J Wang
International Conference on Machine Learning, 26655-26668, 2022
委任: Chinese Academy of Sciences, National Natural Science Foundation of China
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