Global convergence of ADMM in nonconvex nonsmooth optimization Y Wang, W Yin, J Zeng Journal of Scientific Computing 78, 29-63, 2019 | 1335 | 2019 |
On nonconvex decentralized gradient descent J Zeng, W Yin IEEE Transactions on Signal Processing 66 (11), 2834-2848, 2018 | 212 | 2018 |
L1= 2 Regularization: Convergence of Iterative Half Thresholding Algorithm J Zeng, S Lin, Y Wang, Z Xu IEEE Transactions on Signal Processing, 2014 | 184 | 2014 |
Global convergence of block coordinate descent in deep learning J Zeng, TTK Lau, S Lin, Y Yao International conference on machine learning, 7313-7323, 2019 | 96 | 2019 |
Extrapush for convex smooth decentralized optimization over directed networks J Zeng, W Yin Journal of Computational Mathematics 35 (4), 383-396, 2017 | 84 | 2017 |
Hyperspectral image denoising using factor group sparsity-regularized nonconvex low-rank approximation Y Chen, TZ Huang, W He, XL Zhao, H Zhang, J Zeng IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2021 | 83 | 2021 |
Sparse SAR imaging based on L 1/2 regularization JS Zeng, J Fang, ZB Xu Science China Information Sciences 55, 1755-1775, 2012 | 64 | 2012 |
Hyperspectral and Multispectral Image Fusion Using Factor Smoothed Tensor Ring Decomposition. Y Chen, J Zeng, W He, XL Zhao, TZ Huang IEEE Trans. Geosci. Remote. Sens. 60, 1-17, 2022 | 62 | 2022 |
Strokegan: Reducing mode collapse in chinese font generation via stroke encoding J Zeng, Q Chen, Y Liu, M Wang, Y Yao Proceedings of the AAAI conference on artificial intelligence 35 (4), 3270-3277, 2021 | 54 | 2021 |
Indoor fingerprinting localization and tracking system using particle swarm optimization and Kalman filter Genming Ding, Zhenhui Tan, Jinsong Wu, Jinshan Zeng, Lingwen Zhang IEICE Transactions on Communication 98 (3), 502-514, 2015 | 54 | 2015 |
Linear convergence of adaptively iterative thresholding algorithms for compressed sensing Y Wang, J Zeng, Z Peng, X Chang, Z Xu IEEE Transactions on Signal Processing 63 (11), 2957-2971, 2015 | 50 | 2015 |
Sparse regularization: Convergence of iterative jumping thresholding algorithm J Zeng, S Lin, Z Xu IEEE Transactions on Signal Processing 64 (19), 5106-5118, 2016 | 48 | 2016 |
A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training TTK Lau, J Zeng, Y Yao ICLR Workshop 2018, 2018 | 45 | 2018 |
Accelerated L1/2 regularization based SAR imaging via BCR and reduced Newton skills J Zeng, Z Xu, B Zhang, W Hong, Y Wu Signal Processing 93 (7), 1831-1844, 2013 | 38 | 2013 |
Constructive neural network learning S Lin, J Zeng, X Zhang IEEE Transactions on Cybernetics, 2016 | 33 | 2016 |
Hyperspectral compressive snapshot reconstruction via coupled low-rank subspace representation and self-supervised deep network Y Chen, W Lai, W He, XL Zhao, J Zeng IEEE Transactions on Image Processing, 2024 | 31 | 2024 |
Moreau envelope augmented Lagrangian method for nonconvex optimization with linear constraints J Zeng, W Yin, DX Zhou Journal of Scientific Computing 91 (61), doi.org/10.1007/s10915-022-01815-w, 2022 | 31 | 2022 |
Combining low-rank and deep plug-and-play priors for snapshot compressive imaging Y Chen, X Gui, J Zeng, XL Zhao, W He IEEE Transactions on Neural Networks and Learning Systems, 2023 | 25 | 2023 |
Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size K Ma, J Zeng, J Xiong, Q Xu, X Cao, W Liu, Y Yao AAAI 2018, 2017 | 25 | 2017 |
Random sketching for neural networks with ReLU D Wang, J Zeng, SB Lin IEEE Transactions on Neural Networks and Learning Systems 32 (2), 748-762, 2020 | 24 | 2020 |