Global convergence of ADMM in nonconvex nonsmooth optimization Y Wang, W Yin, J Zeng Journal of Scientific Computing, 2018 | 618 | 2018 |

L1= 2 Regularization: Convergence of Iterative Half Thresholding Algorithm J Zeng, S Lin, Y Wang, Z Xu IEEE Transactions on Signal Processing, 2014 | 117 | 2014 |

On nonconvex decentralized gradient descent J Zeng, W Yin IEEE Transactions on Signal Processing 66 (11), 2834-2848, 2018 | 87 | 2018 |

Extrapush for convex smooth decentralized optimization over directed networks J Zeng, W Yin Journal of Computational Mathematics 35 (4), 383-396, 2017 | 62 | 2017 |

Sparse SAR imaging based on *L* _{1/2} regularizationJS Zeng, J Fang, ZB Xu Science China Information Sciences 55 (8), 1755-1775, 2012 | 44 | 2012 |

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 | 42 | 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 | 38 | 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 | 35 | 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 | 30 | 2013 |

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 | 24 | 2019 |

Learning Rates of *l*^{q} Coefficient Regularization Learning with Gaussian KernelS Lin, J Zeng, J Fang, Z Xu Neural computation 26 (10), 2350-2378, 2014 | 19 | 2014 |

A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training TTK Lau, J Zeng, Y Yao ICLR Workshop 2018, 2018 | 18 | 2018 |

Sparse solution of underdetermined linear equations via adaptively iterative thresholding J Zeng, S Lin, Z Xu Signal processing 97, 152-161, 2014 | 15 | 2014 |

Constructive neural network learning S Lin, J Zeng, X Zhang IEEE Transactions on Cybernetics, 2016 | 13 | 2016 |

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 | 12 | 2017 |

Learning rates for classification with Gaussian kernels SB Lin, J Zeng, X Chang Neural computation 29 (12), 3353-3380, 2017 | 9 | 2017 |

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 | 9 | 2017 |

On ADMM in Deep Learning: Convergence and Saturation-Avoidance J Zeng, SB Lin, Y Yao, DX Zhou arXiv preprint arXiv:1902.02060, 2019 | 8 | 2019 |

Fast learning with polynomial kernels S Lin, J Zeng IEEE transactions on cybernetics 49 (10), 3780-3792, 2018 | 7 | 2018 |

Error estimate for spherical neural networks interpolation S Lin, J Zeng, Z Xu Neural Processing Letters 42 (2), 369-379, 2015 | 7 | 2015 |