| Global convergence of ADMM in nonconvex nonsmooth optimization Y Wang, W Yin, J Zeng Journal of Scientific Computing 78, 29-63, 2019 | 857 | 2019 |
| L1= 2 Regularization: Convergence of Iterative Half Thresholding Algorithm J Zeng, S Lin, Y Wang, Z Xu IEEE Transactions on Signal Processing, 2014 | 135 | 2014 |
| On nonconvex decentralized gradient descent J Zeng, W Yin IEEE Transactions on Signal Processing 66 (11), 2834-2848, 2018 | 115 | 2018 |
| Extrapush for convex smooth decentralized optimization over directed networks J Zeng, W Yin Journal of Computational Mathematics 35 (4), 383-396, 2017 | 69 | 2017 |
| Sparse SAR imaging based on L 1/2 regularization JS Zeng, J Fang, ZB Xu Science China Information Sciences 55 (8), 1755-1775, 2012 | 49 | 2012 |
| 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 | 47 | 2019 |
| 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 | 44 | 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 | 40 | 2016 |
| 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 | 40 | 2015 |
| 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 | 32 | 2013 |
| A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training TTK Lau, J Zeng, Y Yao ICLR Workshop 2018, 2018 | 29 | 2018 |
| Constructive neural network learning S Lin, J Zeng, X Zhang IEEE Transactions on Cybernetics, 2016 | 22 | 2016 |
| Learning rates of lq coefficient regularization learning with Gaussian kernel S Lin, J Zeng, J Fang, Z Xu Neural Computation 26 (10), 2350-2378, 2014 | 18 | 2014 |
| 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 | 17 | 2017 |
| Sparse solution of underdetermined linear equations via adaptively iterative thresholding J Zeng, S Lin, Z Xu Signal processing 97, 152-161, 2014 | 15 | 2014 |
| Fast learning with polynomial kernels S Lin, J Zeng IEEE transactions on cybernetics 49 (10), 3780-3792, 2018 | 11 | 2018 |
| Learning rates for classification with Gaussian kernels SB Lin, J Zeng, X Chang Neural computation 29 (12), 3353-3380, 2017 | 11 | 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 | 10 | 2021 |
| 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 | 10 | 2020 |
| GAITA: A Gauss–Seidel iterative thresholding algorithm for ℓq regularized least squares regression J Zeng, Z Peng, S Lin Journal of Computational and Applied Mathematics 319, 220-235, 2017 | 10 | 2017 |
Shao-Bo LinSchool of Management, Xi'an Jiaotong UniversityVerified email at xjtu.edu.cn
