Elamur Research⌕
☰
home / authors / Yi-Min Jian

Yi-Min Jian

Yi-Min Jian has 2 papers in our library, in 2026, most of them on Sentiment & emotion, Multilingual & cross-lingual NLP; often with Shih-Hung Wu.

2 papers in our library · 2026

OpenAlex · h-index 0 · 2 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 2 times in our library · ⭐ Paper Stars ranking: #12658

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

🎓Chaoyang University of TechnologyTaichung · Taiwan2026 · 2 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 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 worksExperimental and Cognitive Psychology · 1 workPsychology · 1 work

🧭 Topics 2Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 1 workSentiment & emotion · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. CYUT at SemEval-2026 Task 3: Multi-Task Dimensional Aspect Sentiment Regression with Polar Multi-Zone Labeling in VA Space (2026 · 1 citation)
    The paper presents CYUT's entry for SemEval-2026 Task 3 Track B. The task asks systems to predict continuous Valence–Arousal (VA) scores, each in the range [1, 9], for a text and a target aspect across several languages. Systems are scored by RMSE. The authors split each text into one instance per aspect. The main…
  2. CYUT at SemEval-2026 Task 9: Monolingual vs. Multilingual LoRA Tuning for Multicultural and Multievent Polarization Detection (2026 · 1 citation)
    The CYUT team tackles SemEval-2026 Task 9, a benchmark of online polarization across 22 languages with three subtasks: binary polarization detection, classification of polarization type (such as political or religious targets), and identification of rhetorical manifestations (such as stereotyping or dehumanization).

 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 2 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/yi-min-jian/