Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction.
Senzhang Wang|Hao Miao|Hao Chen|Zhiqiu Huang
| Anthology ID: | DBLP:conf/cikm/WangMCH20 |
|---|---|
| Volume: | CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020 |
| Year: | 2020 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1555-1564 |
| URL: | https://doi.org/10.1145/3340531.3412054 |
| DOI: | https://doi.org/10.1145/3340531.3412054 |
| DBLP: | conf/cikm/WangMCH20 |
| BibTeX: |
@inproceedings{wang-2020-multitask,
author = {Senzhang Wang and
Hao Miao and
Hao Chen and
Zhiqiu Huang},
editor = {Mathieu d'Aquin and
Stefan Dietze and
Claudia Hauff and
Edward Curry and
Philippe Cudr\'{e}-Mauroux},
title = {{Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction}},
booktitle = {{CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020}},
pages = {1555--1564},
publisher = {ACM},
year = {2020},
url = {https://doi.org/10.1145/3340531.3412054},
doi = {https://doi.org/10.1145/3340531.3412054}
}