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Jiawei Yuan

Jiawei Yuan has 2 papers in our library, in 2022–2026, most of them on Language models & pretraining, Sentiment & emotion, Code & programming languages; often with Wenhao Wang, Yang Li.

2 papers in our library · 2022–2026

OpenAlex · ORCID · h-index 15 · 49 works · 554 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 8 times in our library · ⭐ Paper Stars ranking: #9786

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

🎓Xi'an Jiaotong UniversityXi'an · China2014–2026 · 30 paperscurrent🎓Xi'an University of Architecture and TechnologyXi'an · China2026 · 1 papercurrent🎓Northwest UniversityXi'an · China2022–2025 · 5 papers🎓Shijiazhuang Tiedao UniversityShijiazhuang · China2021–2022 · 2 papers🎓Shaoyang UniversityTangdukou · China2019–2020 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksControl and Systems Engineering · 1 workEngineering · 1 work

🧭 Topics 3Research subjects and languages the work is about.Sentiment & emotion · 1 workCode & programming languages · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Generative Data Augmentation with Contrastive Learning for Zero-Shot Stance Detection (2022 · 26 citations)
    Zero-shot stance detection (ZSSD) requires a model to decide whether a text supports, opposes, or is neutral toward a target for which no annotated examples were seen in training.
  2. Ro-SLM: Onboard Small Language Models for Robot Task Planning and Operation Code Generation (2026 · 2 citations)
    Robots that interpret natural-language commands usually depend on cloud-hosted or very large LLMs. This rules out platforms such as UAVs and small ground vehicles, which may have weak connectivity and limited compute. Ro-SLM addresses this by transferring LLM knowledge into a small model that runs onboard.

 Co-authors here

2 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 8 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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