Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup

Huimin Zeng; Zhenrui Yue; Ziyi Kou; Lanyu Shang; Yang Zhang; Dong Wang

doi:10.1109/ASONAM55673.2022.10068580

Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup

Huimin Zeng
, Zhenrui Yue
, Ziyi Kou
, Lanyu Shang
, Yang Zhang
, Dong Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022
Editors	Jisun An, Chelmis Charalampos, Walid Magdy
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	159-162
Number of pages	4
ISBN (Electronic)	9781665456616
DOIs	https://doi.org/10.1109/ASONAM55673.2022.10068580
State	Published - 2022
Externally published	Yes
Event	14th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022 - Virtual, Online, Turkey Duration: Nov 10 2022 → Nov 13 2022

Publication series

Name	Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022

Conference

Conference	14th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022
Country/Territory	Turkey
City	Virtual, Online
Period	11/10/22 → 11/13/22

ASJC Scopus Subject Areas

Artificial Intelligence
Computer Networks and Communications
Information Systems
Information Systems and Management
Communication

Access to Document

10.1109/ASONAM55673.2022.10068580

Cite this

Zeng, H., Yue, Z., Kou, Z., Shang, L., Zhang, Y., & Wang, D. (2022). Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup. In J. An, C. Charalampos, & W. Magdy (Eds.), Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022 (pp. 159-162). (Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASONAM55673.2022.10068580

Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup. / Zeng, Huimin; Yue, Zhenrui; Kou, Ziyi et al.
Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022. ed. / Jisun An; Chelmis Charalampos; Walid Magdy. Institute of Electrical and Electronics Engineers Inc., 2022. p. 159-162 (Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zeng, H, Yue, Z, Kou, Z, Shang, L, Zhang, Y & Wang, D 2022, Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup. in J An, C Charalampos & W Magdy (eds), Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022. Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022, Institute of Electrical and Electronics Engineers Inc., pp. 159-162, 14th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022, Virtual, Online, Turkey, 11/10/22. https://doi.org/10.1109/ASONAM55673.2022.10068580

Zeng H, Yue Z, Kou Z, Shang L, Zhang Y, Wang D. Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup. In An J, Charalampos C, Magdy W, editors, Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 159-162. (Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022). doi: 10.1109/ASONAM55673.2022.10068580

Zeng, Huimin ; Yue, Zhenrui ; Kou, Ziyi et al. / Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup. Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022. editor / Jisun An ; Chelmis Charalampos ; Walid Magdy. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 159-162 (Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022).

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author = "Huimin Zeng and Zhenrui Yue and Ziyi Kou and Lanyu Shang and Yang Zhang and Dong Wang",

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AU - Zhang, Yang

AU - Wang, Dong

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Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup

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Conference

ASJC Scopus Subject Areas

Access to Document

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