| Optimal rates for multi-pass stochastic gradient methods J Lin, L Rosasco Journal of Machine Learning Research 18 (97), 1-47, 2017 | 135* | 2017 |
| Optimal rates for spectral algorithms with least-squares regression over Hilbert spaces J Lin, A Rudi, L Rosasco, V Cevher Applied and Computational Harmonic Analysis 48 (3), 868-890, 2020 | 108 | 2020 |
| Large language models for forecasting and anomaly detection: A systematic literature review J Su, C Jiang, X Jin, Y Qiao, T Xiao, H Ma, R Wei, Z Jing, J Xu, J Lin arXiv preprint arXiv:2402.10350, 2024 | 99 | 2024 |
| Generalization properties and implicit regularization for multiple passes SGM J Lin, R Camoriano, L Rosasco International Conference on Machine Learning, 2340-2348, 2016 | 83 | 2016 |
| Optimal convergence for distributed learning with stochastic gradient methods and spectral algorithms J Lin, V Cevher Journal of Machine Learning Research 21 (1), 5852-5914, 2020 | 76* | 2020 |
| New bounds for restricted isometry constants with coherent tight frames J Lin, S Li, Y Shen IEEE Transactions on Signal Processing 61 (3), 611-621, 2013 | 54 | 2013 |
| Sparse recovery with coherent tight frames via analysis Dantzig selector and analysis LASSO J Lin, S Li Applied and Computational Harmonic Analysis 37 (1), 126-139, 2014 | 48 | 2014 |
| Iterative regularization for learning with convex loss functions J Lin, L Rosasco, DX Zhou Journal of Machine Learning Research 17 (1), 2718-2755, 2016 | 45 | 2016 |
| Robust domain generalization for multi-modal object recognition Y Qiao, K Li, J Lin, R Wei, C Jiang, Y Luo, H Yang 2024 5th International Conference on Artificial Intelligence and …, 2024 | 42 | 2024 |
| Compressed sensing with coherent tight frame via lq minimization S Li, J Lin Inverse Probl Imaging 8 (3), 761-777, 2014 | 41* | 2014 |
| Block sparse recovery via mixed l 2/l 1 minimization JH Lin, S Li Acta Mathematica Sinica, English Series 29 (7), 1401-1412, 2013 | 40 | 2013 |
| Online learning algorithms can converge comparably fast as batch learning J Lin, DX Zhou IEEE Transactions on Neural Networks and Learning Systems 29 (6), 2367-2378, 2017 | 39 | 2017 |
| Learning theory of randomized Kaczmarz algorithm J Lin, DX Zhou Journal of Machine Learning Research 16 (1), 3341-3365, 2015 | 39 | 2015 |
| Low-light image enhancement via stage-transformer-guided network N Jiang, J Lin, T Zhang, H Zheng, T Zhao IEEE Transactions on Circuits and Systems for Video Technology 33 (8), 3701-3712, 2023 | 29 | 2023 |
| Compressed data separation with redundant dictionaries J Lin, S Li, Y Shen IEEE Transactions on Information Theory 59 (7), 4309-4315, 2013 | 25 | 2013 |
| LMQFormer: A laplace-prior-guided mask query transformer for lightweight snow removal J Lin, N Jiang, Z Zhang, W Chen, T Zhao IEEE Transactions on Circuits and Systems for Video Technology 33 (11), 6225 …, 2023 | 24 | 2023 |
| Online pairwise learning algorithms with convex loss functions J Lin, Y Lei, B Zhang, DX Zhou Information Sciences 406, 57-70, 2017 | 24 | 2017 |
| Restricted-Isometry Properties Adapted to Frames for Nonconvex-Analysis J Lin, S Li IEEE Transactions on Information Theory 62 (8), 4733-4747, 2016 | 24 | 2016 |
| Nonuniform support recovery from noisy random measurements by orthogonal matching pursuit J Lin, S Li Journal of Approximation Theory 165 (1), 20-40, 2013 | 16 | 2013 |
| Lightweight semi-supervised network for single image rain removal N Jiang, J Luo, J Lin, W Chen, T Zhao Pattern Recognition 137, 109277, 2023 | 15 | 2023 |