| Consistent sparse deep learning: Theory and computation Y Sun, Q Song, F Liang Journal of the American Statistical Association 117 (540), 1981-1995, 2022 | 32 | 2022 |
| Variable selection via penalized neural network: a drop-out-one loss approach M Ye, Y Sun International Conference on Machine Learning, 5620-5629, 2018 | 31 | 2018 |
| Extended stochastic gradient Markov chain Monte Carlo for large-scale Bayesian variable selection Q Song, Y Sun, M Ye, F Liang Biometrika 107 (4), 997-1004, 2020 | 19 | 2020 |
| Sparse deep learning: A new framework immune to local traps and miscalibration Y Sun, W Xiong, F Liang Advances in Neural Information Processing Systems 34, 22301-22312, 2021 | 8 | 2021 |
| Learning sparse deep neural networks with a spike-and-slab prior Y Sun, Q Song, F Liang Statistics & probability letters 180, 109246, 2022 | 7 | 2022 |
| A kernel-expanded stochastic neural network Y Sun, F Liang Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022 | 5 | 2022 |
| Nonlinear sufficient dimension reduction with a stochastic neural network S Liang, Y Sun, F Liang Advances in Neural Information Processing Systems 35, 27360-27373, 2022 | 4 | 2022 |
| Sparse Deep Learning for Time Series Data: Theory and Applications M Zhang, Y Sun, F Liang Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
