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Yuanchun Zhou

Yuanchun Zhou has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining; often with Chuan Qin, Hengshu Zhu, Jinghan Zhang.

2 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 27 · 247 works · 2,872 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 7 times in our library · ⭐ Paper Stars ranking: #9040

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

🏛️Chinese Academy of SciencesBeijing · China2005–2026 · 205 paperscurrent🔬Computer Network Information CenterBeijing · China2007–2026 · 201 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2012–2026 · 80 paperscurrent🎓Fudan UniversityShanghai · China2018 · 4 papers🎓University of Central FloridaOrlando · United States2023 · 2 papers🎓University of Science and Technology of ChinaHefei · China2023 · 2 papers🎓Nanjing UniversityNanjing · China2016–2019 · 2 papers🔬State Key Laboratory of Pollution Control and Resource ReuseNanjing · China2016–2019 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 13 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Diversity-oriented Data Augmentation with Large Language Models (2025 · 17 citations)
    Most text data augmentation methods add more training examples but do not check whether the new examples make the dataset more varied.
  2. TLSA: LLM-Guided Text-Label Space Alignment with Contrastive Learning for Generalized Category Discovery (2026 · 4 citations)
    Generalized Category Discovery (GCD) trains a classifier on a small labeled set of known classes plus a large unlabeled pool that also contains unseen classes. The model must recognize the known classes and also form the new ones. The authors identify three weaknesses in current methods:

 Co-authors here

6 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 7 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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