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Yimin Xiao

Yimin Xiao has 2 papers in our library, in 2020–2026, most of them on Bias, fairness & safety; often with Ge Gao, Lu Xiao, Wei Ai.

2 papers in our library · 2020–2026

OpenAlex · h-index 2 · 4 works · 7 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 2 times in our library · ⭐ Paper Stars ranking: #10783

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Syracuse UniversitySyracuse · United States2020 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workSocial Sciences · 1 workCommunication · 1 workHuman-Computer Interaction · 1 work

🧭 Topics 1Research subjects and languages the work is about.Bias, fairness & safety · 1 work

 Works by year

2020s

20261 paper20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. TV-AfD: An Imperative-Annotated Corpus from The Big Bang Theory and Wikipedia's Articles for Deletion Discussions (2020 · 3 citations)
    The paper addresses the shortage of labeled imperative data, especially from spoken conversation, which limits how well systems such as voice assistants recognise orders and requests phrased in unexpected ways. The authors built TV-AfD, a corpus with two parts:
  2. The Hidden Language of Harm: Examining the Role of Emojis in Harmful Online Communication and Content Moderation (2026 · 1 citation)
    Most work on offensive-language detection focuses on words and largely ignores emojis. Emojis are seldom offensive alone, but they can carry harm through shape-based symbolism, sarcasm, or misuse in context. The authors study this using a random sample of U.S.-geolocated tweets from 2019. They first filtered the…

 Co-authors here

4 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 2 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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