Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework.
Han Zhang|Wenhao Zheng|Charley Chen|Kevin Gao|Yao Hu|Ling Huang|Wei Xu
| Anthology ID: | DBLP:conf/www/ZhangZCGHHX20 |
|---|---|
| Volume: | WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020 |
| Year: | 2020 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM / IW3C2 |
| Pages: | 1389-1399 |
| URL: | https://doi.org/10.1145/3366423.3380213 |
| DOI: | https://doi.org/10.1145/3366423.3380213 |
| DBLP: | conf/www/ZhangZCGHHX20 |
| BibTeX: |
@inproceedings{zhang-2020-modeling,
author = {Han Zhang and
Wenhao Zheng and
Charley Chen and
Kevin Gao and
Yao Hu and
Ling Huang and
Wei Xu},
editor = {Yennun Huang and
Irwin King and
Tie-Yan Liu and
Maarten van Steen},
title = {{Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework}},
booktitle = {{WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020}},
pages = {1389--1399},
publisher = {ACM / IW3C2},
year = {2020},
url = {https://doi.org/10.1145/3366423.3380213},
doi = {https://doi.org/10.1145/3366423.3380213}
}