| 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 | 366 | 2020 |
| Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting T Zhou, Z Ma, Q Wen, X Wang, L Sun, R Jin International Conference on Machine Learning, 27268-27286, 2022 | 82 | 2022 |
| 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 | 31 | 2018 |
| KVT: k-NN Attention for Boosting Vision Transformers P Wang, X Wang, F Wang, M Lin, S Chang, H Li, R Jin Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 30 | 2022 |
| 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 | 22 | 2017 |
| Scaled relu matters for training vision transformers P Wang, X Wang, H Luo, J Zhou, Z Zhou, F Wang, H Li, R Jin Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 2495-2503, 2022 | 14 | 2022 |
| 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, 69-108, 2019 | 13 | 2019 |
| 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 | 13 | 2016 |
| An Improved Two-Stage Deep Reinforcement Learning Approach for Regulation Service Disaggregation in a Virtual Power Plant Z Yi, Y Xu, X Wang, W Gu, H Sun, Q Wu, C Wu IEEE Transactions on Smart Grid 13 (4), 2844-2858, 2022 | 5 | 2022 |
| Online learning and decision-making under generalized linear model with high-dimensional data X Wang, MM Wei, T Yao arXiv preprint arXiv:1812.02962, 2018 | 3 | 2018 |
| Online assortment optimization with high-dimensional data X Wang, MM Wei, T Yao Available at SSRN 3521843, 2019 | 2 | 2019 |
| Treedrnet: a robust deep model for long term time series forecasting T Zhou, J Zhu, X Wang, Z Ma, Q Wen, L Sun, R Jin arXiv preprint arXiv:2206.12106, 2022 | 1 | 2022 |
| 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 | 1 | 2021 |
| FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting RJ Tian Zhou, Ziqing Ma, Xue Wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin Advances in Neural Information Processing Systems, 2022 | | 2022 |
Tian ZhouAlibaba,Ph.D from Rutgers University在 alibaba-inc.com 的电子邮件经过验证
