Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction

Hao Niu, Chuizheng Meng, Defu Cao, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu. Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction. In João Gama 0001, Tianrui Li 0001, Yang Yu 0001, Enhong Chen, Yu Zheng, Fei Teng 0001, editors, Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part I. Volume 13280 of Lecture Notes in Computer Science, pages 68-80, Springer, 2022. [doi]

@inproceedings{NiuMCHLWOL22,
  title = {Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction},
  author = {Hao Niu and Chuizheng Meng and Defu Cao and Guillaume Habault and Roberto Legaspi and Shinya Wada and Chihiro Ono and Yan Liu},
  year = {2022},
  doi = {10.1007/978-3-031-05933-9_6},
  url = {https://doi.org/10.1007/978-3-031-05933-9_6},
  researchr = {https://researchr.org/publication/NiuMCHLWOL22},
  cites = {0},
  citedby = {0},
  pages = {68-80},
  booktitle = {Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part I},
  editor = {João Gama 0001 and Tianrui Li 0001 and Yang Yu 0001 and Enhong Chen and Yu Zheng and Fei Teng 0001},
  volume = {13280},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-05933-9},
}