| Generative semi-supervised learning for multivariate time series imputation X Miao, Y Wu, J Wang, Y Gao, X Mao, J Yin Proceedings of the AAAI conference on artificial intelligence 35 (10), 8983-8991, 2021 | 157 | 2021 |
| Deep learning for multivariate time series imputation: A survey J Wang*, W Du*, W Cao, K Zhang, W Wang, Y Liang, Q Wen, ... arXiv preprint arXiv:2402.04059, 2024 | 40 | 2024 |
| Efficient and effective data imputation with influence functions X Miao, Y Wu, L Chen, Y Gao, J Wang, J Yin Proceedings of the VLDB Endowment 15 (3), 624-632, 2021 | 23 | 2021 |
| Understanding Square Loss in Training Overparametrized Neural Network Classifiers T Hu*, J Wang*, W Wang*, Z Li, (*equal contributions) Advances in Neural Information Processing Systems 35, 16495-16508, 2022 | 18 | 2022 |
| Differentiable and Scalable Generative Adversarial Models for Data Imputation Y Wu*, J Wang*, X Miao, W Wang, J Yin, (*equal contributions) IEEE Transactions on Knowledge and Data Engineering, 2022 | 13 | 2022 |
| TSI-Bench: Benchmarking Time Series Imputation W Du*, J Wang*, L Qian*, Y Yang*, F Liu, Z Wang, Z Ibrahim, H Liu, ... arXiv preprint arXiv:2406.12747, 2024 | 11 | 2024 |
| Counterclr: Counterfactual contrastive learning with non-random missing data in recommendation J Wang, H Li, C Zhang, D Liang, E Yu, W Ou, W Wang 2023 IEEE International Conference on Data Mining (ICDM), 1355-1360, 2023 | 8 | 2023 |
| Elucidating the design space of language models for image generation X Liu, S Hao, X Qi, T Hu, J Wang, R Xiao, Y Yao arXiv preprint arXiv:2410.16257, 2024 | 2 | 2024 |
Xiaoye MiaoZhejiang University在 zju.edu.cn 的电子邮件经过验证
