| 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 | 943 | 2022 |
| 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 | 751 | 2020 |
| One fits all: Power general time series analysis by pretrained lm T Zhou, P Niu, L Sun, R Jin Advances in neural information processing systems 36, 43322-43355, 2023 | 135 | 2023 |
| FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting T Zhou, Z Ma, X Wang, Q Wen, L Sun, T Yao, W Yin, R Jin Advances in Neural Information Processing Systems, 2022 | 120 | 2022 |
| KVT: k-NN Attention for Boosting Vision Transformers P Wang, X Wang, F Wang, M Lin, S Chang, H Li, R Jin European conference on computer vision, 285-302, 2022 | 93 | 2022 |
| Large models for time series and spatio-temporal data: A survey and outlook M Jin, Q Wen, Y Liang, C Zhang, S Xue, X Wang, J Zhang, Y Wang, ... arXiv preprint arXiv:2310.10196, 2023 | 55 | 2023 |
| 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 | 47 | 2018 |
| 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 | 38 | 2022 |
| 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 | 35 | 2022 |
| Free lunch for domain adversarial training: Environment label smoothing YF Zhang, X Wang, J Liang, Z Zhang, L Wang, R Jin, T Tan arXiv preprint arXiv:2302.00194, 2023 | 33 | 2023 |
| 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 | 27 | 2017 |
| Adanpc: Exploring non-parametric classifier for test-time adaptation Y Zhang, X Wang, K Jin, K Yuan, Z Zhang, L Wang, R Jin, T Tan International Conference on Machine Learning, 41647-41676, 2023 | 21 | 2023 |
| 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 | 15 | 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 | 15 | 2016 |
| Onenet: Enhancing time series forecasting models under concept drift by online ensembling Q Wen, W Chen, L Sun, Z Zhang, L Wang, R Jin, T Tan Advances in Neural Information Processing Systems 36, 2024 | 11 | 2024 |
| CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting W Xue, T Zhou, QS Wen, J Gao, B Ding, R Jin arXiv preprint arXiv:2305.12095, 2023 | 10* | 2023 |
| Progressive backdoor erasing via connecting backdoor and adversarial attacks B Mu, Z Niu, L Wang, X Wang, Q Miao, R Jin, G Hua Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
| 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 | 6 | 2018 |
| 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 | 4 | 2022 |
| Online assortment optimization with high-dimensional data X Wang, MM Wei, T Yao Available at SSRN 3521843, 2019 | 4 | 2019 |
Tian ZhouDamo-Alibaba Group在 alibaba-inc.com 的电子邮件经过验证
