---
title: "Shih-Hung Wu — author profile and papers — Elamur Research"
description: "Shih-Hung Wu, Chaoyang University of Technology: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/shih-hung-wu/"
---
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# Shih-Hung Wu

Shih-Hung Wu has 2 papers in our library, in 2026, most of them on [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Yi-Min Jian](https://md.research.elamur.ai/free/en/authors/yi-min-jian/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139838133) · [**h-index 0**](https://openalex.org/authors/A5139838133) · [2 works](https://openalex.org/works?filter=author.id:A5139838133) · [0 citations](https://openalex.org/works?filter=author.id:A5139838133&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/shih-hung-wu/#papers) · [🔗 Cited 2 times in our library](https://md.research.elamur.ai/free/en/authors/shih-hung-wu/cited-by/) · [⭐ Paper Stars ranking: #12603](https://md.research.elamur.ai/free/en/paper-stars/page/127/#star-12603)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Shih-Hung+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shih-Hung+Wu) · [dblp](https://dblp.org/search?q=Shih-Hung+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Shih-Hung+Wu)

## Affiliations

[🎓**Chaoyang University of Technology** Taichung · Taiwan 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/chaoyang-university-of-technology/)

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 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/)

🧭 Topics 2 Research subjects and languages the work is about.[Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/shih-hung-wu/year/2026/)

## 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](https://md.research.elamur.ai/free/en/papers/wu-2026-cyut-semeval-2026-task-3/)** *(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](https://md.research.elamur.ai/free/en/papers/wu-2026-cyut-semeval-2026-task-9/)** *(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.

- [Yi-Min Jian](https://md.research.elamur.ai/free/en/authors/yi-min-jian/) ×2

## Venues

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

- [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/) ×2: [SemEval 2026](https://md.research.elamur.ai/free/en/venues/semeval/2026/) ×2

## 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 →](https://md.research.elamur.ai/free/en/authors/shih-hung-wu/cited-by/).

Updated 31 October 2026
