---
title: "Ye Wang — author profile and papers — Elamur Research"
description: "Ye Wang, National University of Defense Technology: 4 papers on Elamur Research (2018–2026), h-index 0 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/ye-wang/"
---
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# Ye Wang

Ye Wang has 4 papers in our library, in 2018–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/); often with [Guodong Zhou](https://md.research.elamur.ai/free/en/authors/guodong-zhou/), [Han Wang](https://md.research.elamur.ai/free/en/authors/han-wang/), [Hongfu Liu](https://md.research.elamur.ai/free/en/authors/hongfu-liu/).

4 papers in our library · 2018–2026

[OpenAlex](https://openalex.org/A5139734086) · [**h-index 0**](https://openalex.org/authors/A5139734086) · [4 works](https://openalex.org/works?filter=author.id:A5139734086) · [0 citations](https://openalex.org/works?filter=author.id:A5139734086&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/ye-wang/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #10638](https://md.research.elamur.ai/free/en/paper-stars/page/107/#star-10638)

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=Ye+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ye+Wang) · [dblp](https://dblp.org/search?q=Ye+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Ye+Wang)

## Affiliations

[🎓**Fudan University** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🎓**National University of Defense Technology** Changsha · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/) · [🎓**Soochow University** Suzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/soochow-university/)

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 7 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 4 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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 8 Research subjects and languages the work is about.[English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/ye-wang/year/2026/)

### 2010s

[**2018** 1 paper](https://md.research.elamur.ai/free/en/authors/ye-wang/year/2018/)

## Papers

The most cited first (OpenAlex and our library).

1. **[English Out-of-Vocabulary Lexical Evaluation Task](https://md.research.elamur.ai/free/en/papers/wang-2018-english-out-vocabulary-lexical-evaluation/)** *(2018 · 3 citations)* The paper proposes a benchmark for words a model has never seen: out-of-vocabulary (OOV) items that occur only in test material, so their meaning must come from surrounding text.
2. **[Unlocking Large Audio-Language Models for Interactive Language Learning](https://md.research.elamur.ai/free/en/papers/liu-2026-unlocking-large-audio-language-models/)** *(2026 · 1 citation)* Traditional Computer-Assisted Pronunciation Training (CAPT) tools mostly return error locations or numeric scores, which L2 learners often struggle to turn into concrete practice.
3. **[Exploring Multilingual Pre-trained Language Model for Aspect-based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/wang-2026-exploring-multilingual-pre-trained-language/)** *(2026)* This work targets aspect-based sentiment analysis (ABSA) framed as quadruple prediction (aspect, opinion, category, polarity).
4. **[Simple-VGC: Enhancing Visual Grounding in Multimodal Reasoning via Adaptive Tool Composition](https://md.research.elamur.ai/free/en/papers/wang-2026-simple-vgc-enhancing-visual-grounding/)** *(2026)* Multimodal large language models (MLLMs) often lose track of visual evidence while reasoning. The authors identify three distinct grounding failures. Long-Context Grounding Error occurs when the image's influence fades over long outputs. Fine-Grained Grounding Error occurs when low resolution hides details. Regional…

## Co-authors here

8 co-authors with a page, the most papers together first.

- [Guodong Zhou](https://md.research.elamur.ai/free/en/authors/guodong-zhou/)
- [Han Wang](https://md.research.elamur.ai/free/en/authors/han-wang/)
- [Hongfu Liu](https://md.research.elamur.ai/free/en/authors/hongfu-liu/)
- [Qianglong Chen](https://md.research.elamur.ai/free/en/authors/qianglong-chen/)
- [Siyuan Wang](https://md.research.elamur.ai/free/en/authors/siyuan-wang/)
- [Zhirui Zhang](https://md.research.elamur.ai/free/en/authors/zhirui-zhang/)
- [Zhongqing Wang](https://md.research.elamur.ai/free/en/authors/zhongqing-wang/)
- [Zhongyu Wei](https://md.research.elamur.ai/free/en/authors/zhongyu-wei/)

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)

## Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026
