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Xiaolei Huang

Xiaolei Huang has 2 papers in our library, in 2026, most of them on Information retrieval & search; often with Guangzeng Han.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 19 · 73 works · 1,034 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 3 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #12288

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

🎓University of MemphisMemphis · United States2021–2026 · 31 papersEmployment 2021–2026 · Assistant Professor, Computer Sciencecurrent🎓University of Colorado BoulderBoulder · United States2016–2020 · 10 papersEducation 2016–2020 · Ph.D., Information Science🏛️Chinese Academy of SciencesBeijing · China2013–2025 · 3 papersEducation 2013–2016 · MSc in Computer Science🎓Pennsylvania State UniversityState College · United States2018–2022 · 3 papers🎓University of Colorado SystemBoulder · United States2018–2019 · 2 papers🎓University of MissouriColumbia · United States2026Employment since 2026 · Associate Professor, EECS🎓Central China Normal UniversityWuhan · China2009–2013Education 2009–2013 · B.Eng

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 workSignal Processing · 1 work

🧭 Topics 1Research subjects and languages the work is about.Information retrieval & search · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Knowledge-driven Augmentation and Retrieval for Integrative Temporal Adaptation (2026)
    Classifiers are usually trained on older data but used on newer data, where vocabulary, conventions and domain knowledge drift.
  2. Model-Agnostic Meta Learning for Class Imbalance Adaptation (2026)
    Skewed label distributions hurt NLP models: they learn to favor frequent classes and overlook rare ones that often matter most.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. UserNLP’22: 2022 International Workshop on User-centered Natural Language Processing ↗The Web Conference (WWW) · no summary yetXiaolei Huang et al.2022 · 4 citations
  2. Knowledge-driven Augmentation and Retrieval for Integrative Temporal AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Weisi Liu, Guangzeng Han, Xiaolei Huang2026
  3. Model-Agnostic Meta Learning for Class Imbalance AdaptationFindings of the Association for Computational LinguisticsHanshu Rao, Guangzeng Han, Xiaolei Huang2026

 Co-authors here

1 co-author 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 3 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/xiaolei-huang/