| AutoCTS: Automated correlated time series forecasting X Wu, D Zhang, C Guo, C He, B Yang, CS Jensen Proceedings of the VLDB Endowment 15 (4), 971-983, 2021 | 56 | 2021 |
| AutoCTS+: Joint neural architecture and hyperparameter search for correlated time series forecasting X Wu, D Zhang, M Zhang, C Guo, B Yang, CS Jensen Proceedings of the ACM on Management of Data 1 (1), 1-26, 2023 | 16 | 2023 |
| Emo2Vec: Learning emotional embeddings via multi-emotion category S Wang, A Maoliniyazi, X Wu, X Meng ACM Transactions on Internet Technology (TOIT) 20 (2), 1-17, 2020 | 16 | 2020 |
| AutoCTS: Automated Correlated Time Series Forecasting--Extended Version X Wu, D Zhang, C Guo, C He, B Yang, CS Jensen arXiv preprint arXiv:2112.11174, 2021 | 3 | 2021 |
| AutoPINN: When AutoML Meets Physics-Informed Neural Networks X Wu, D Zhang, M Zhang, C Guo, S Zhao, Y Zhang, H Wang, B Yang arXiv preprint arXiv:2212.04058, 2022 | 2 | 2022 |
| Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting X Wu, D Zhang, M Zhang, C Guo, B Yang, CS Jensen arXiv preprint arXiv:2211.16126, 2022 | 2 | 2022 |
| A unified adversarial learning framework for semi-supervised multi-target domain adaptation X Wu, L Wang, S Wang, X Meng, L Li, H Huang, X Zhang, J Yan Database Systems for Advanced Applications: 25th International Conference …, 2020 | 1 | 2020 |
