MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation

Yakun Chen, Kaize Shi, Xianzhi Wang 0001, Guandong Xu. MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation. In Xiaochun Yang 0001, Heru Suhartanto, Guoren Wang, Bin Wang 0015, Jing Jiang, Bing Li, Huaijie Zhu, Ningning Cui, editors, Advanced Data Mining and Applications - 19th International Conference, ADMA 2023, Shenyang, China, August 21-23, 2023, Proceedings, Part V. Volume 14180 of Lecture Notes in Computer Science, pages 180-194, Springer, 2023. [doi]

@inproceedings{ChenSWX23,
  title = {MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation},
  author = {Yakun Chen and Kaize Shi and Xianzhi Wang 0001 and Guandong Xu},
  year = {2023},
  doi = {10.1007/978-3-031-46677-9_13},
  url = {https://doi.org/10.1007/978-3-031-46677-9_13},
  researchr = {https://researchr.org/publication/ChenSWX23},
  cites = {0},
  citedby = {0},
  pages = {180-194},
  booktitle = {Advanced Data Mining and Applications - 19th International Conference, ADMA 2023, Shenyang, China, August 21-23, 2023, Proceedings, Part V},
  editor = {Xiaochun Yang 0001 and Heru Suhartanto and Guoren Wang and Bin Wang 0015 and Jing Jiang and Bing Li and Huaijie Zhu and Ningning Cui},
  volume = {14180},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-46677-9},
}