Shun Zheng, Zhifeng Gao, Wei Cao, Jiang Bian 0002, Tie-Yan Liu. HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting. In Gianluca Demartini, Guido Zuccon, J. Shane Culpepper, Zi Huang, Hanghang Tong, editors, CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021. pages 4383-4392, ACM, 2021. [doi]
@inproceedings{ZhengGC0L21,
title = {HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting},
author = {Shun Zheng and Zhifeng Gao and Wei Cao and Jiang Bian 0002 and Tie-Yan Liu},
year = {2021},
doi = {10.1145/3459637.3481927},
url = {https://doi.org/10.1145/3459637.3481927},
researchr = {https://researchr.org/publication/ZhengGC0L21},
cites = {0},
citedby = {0},
pages = {4383-4392},
booktitle = {CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021},
editor = {Gianluca Demartini and Guido Zuccon and J. Shane Culpepper and Zi Huang and Hanghang Tong},
publisher = {ACM},
isbn = {978-1-4503-8446-9},
}