Portfolio item number 1
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portfolio
Portfolio item number 2
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publications
Bandit Learning in Matching Markets Robust to Adversarial Corruptions
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
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Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
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Multi-level federated graph learning and self-attention based personalized Wi-Fi indoor fingerprint localization
Published in IEEE Communications Letters, 2022
Personalized indoor localization using federated graph learning.
Recommended citation: Wu, Z., Wu, X., & Long, Y. (2022). Multi-level federated graph learning and self-attention based personalized Wi-Fi indoor fingerprint localization. IEEE Communications Letters, 26(8), 1794-1798.
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Paper Title Number 4
Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Paper Title Number 5, with math \(E=mc^2\)
Published in GitHub Journal of Bugs, 2024
This paper is about a famous math equation, \(E=mc^2\)
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Bandit Learning in Matching Markets Robust to Adversarial Corruptions
Published in International Conference on Learning Representations (ICLR 2026), 2024
New research on robust bandit learning in matching markets. The contents above will be part of a list of publications, if the user clicks the link for the publication than the contents of section will be rendered as a full page, allowing you to provide more information about the paper for the reader. When publications are displayed as a single page, the contents of the above “citation” field will automatically be included below this section in a smaller font.
Recommended citation: Wu, Z., Zuo, J., Xu, Z., & Kong, F. (2026). Bandit Learning in Matching Markets Robust to Adversarial Corruptions. In ICLR.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.