DiffUFlow: Robust Fine-grained Urban Flow Inference with Denoising Diffusion Model.
Yuhao Zheng|Lian Zhong|Senzhang Wang|Yu Yang|Weixi Gu|Junbo Zhang|Jianxin Wang
| Anthology ID: | DBLP:conf/cikm/ZhengZW0GZW23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3505-3513 |
| URL: | https://doi.org/10.1145/3583780.3614842 |
| DOI: | https://doi.org/10.1145/3583780.3614842 |
| DBLP: | conf/cikm/ZhengZW0GZW23 |
| BibTeX: |
@inproceedings{zheng-2023-diffuflow,
author = {Yuhao Zheng and
Lian Zhong and
Senzhang Wang and
Yu Yang and
Weixi Gu and
Junbo Zhang and
Jianxin Wang},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{DiffUFlow: Robust Fine-grained Urban Flow Inference with Denoising Diffusion Model}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {3505--3513},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614842},
doi = {https://doi.org/10.1145/3583780.3614842}
}