ACT: Adversarial Convolutional Transformer for Time Series Forecasting

Yuan Li, Huanjie Wang, Jingwei Li, Chengbao Liu, Jie Tan. ACT: Adversarial Convolutional Transformer for Time Series Forecasting. In International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022. pages 1-8, IEEE, 2022. [doi]

@inproceedings{LiWLLT22,
  title = {ACT: Adversarial Convolutional Transformer for Time Series Forecasting},
  author = {Yuan Li and Huanjie Wang and Jingwei Li and Chengbao Liu and Jie Tan},
  year = {2022},
  doi = {10.1109/IJCNN55064.2022.9892791},
  url = {https://doi.org/10.1109/IJCNN55064.2022.9892791},
  researchr = {https://researchr.org/publication/LiWLLT22},
  cites = {0},
  citedby = {0},
  pages = {1-8},
  booktitle = {International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022},
  publisher = {IEEE},
  isbn = {978-1-7281-8671-9},
}