| Time series data augmentation for deep learning: A survey Q Wen, L Sun, F Yang, X Song, J Gao, X Wang, H Xu arXiv preprint arXiv:2002.12478, 2020 | 84 | 2020 |
| Minimax concave penalized multi-armed bandit model with high-dimensional covariates X Wang, M Wei, T Yao International Conference on Machine Learning, 5200-5208, 2018 | 17 | 2018 |
| Circulating cholesterol levels may link to the factors influencing Parkinson’s risk L Zhang, X Wang, M Wang, NW Sterling, G Du, MM Lewis, T Yao, ... Frontiers in neurology 8, 501, 2017 | 12 | 2017 |
| Folded concave penalized learning in identifying multimodal MRI marker for Parkinson’s disease H Liu, G Du, L Zhang, MM Lewis, X Wang, T Yao, R Li, X Huang Journal of neuroscience methods 268, 1-6, 2016 | 11 | 2016 |
| Sample average approximation with sparsity-inducing penalty for high-dimensional stochastic programming H Liu, X Wang, T Yao, R Li, Y Ye Mathematical programming 178 (1), 69-108, 2019 | 7 | 2019 |
| KVT: k-NN Attention for Boosting Vision Transformers P Wang, X Wang, F Wang, M Lin, S Chang, W Xie, H Li, R Jin arXiv preprint arXiv:2106.00515, 2021 | 3 | 2021 |
| Online learning and decision-making under generalized linear model with high-dimensional data X Wang, MM Wei, T Yao Available at SSRN 3294832, 2018 | 3 | 2018 |
| Scaled relu matters for training vision transformers P Wang, X Wang, H Luo, J Zhou, Z Zhou, F Wang, H Li, R Jin arXiv preprint arXiv:2109.03810, 2021 | 2 | 2021 |
| Folded concave penalized learning of high-dimensional MRI data in Parkinson’s disease C Li, X Wang, G Du, H Chen, G Brown, MM Lewis, T Yao, R Li, X Huang Journal of Neuroscience Methods 357, 109157, 2021 | | 2021 |
| Online Assortment Optimization with High-Dimensional Data X Wang, MM Wei, T Yao Available at SSRN 3521843, 2019 | | 2019 |
