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Ningyuan Deng

Ningyuan Deng has 2 papers in our library, in 2025–2026, most of them on Sentiment & emotion, Multilingual & cross-lingual NLP; often with Bolei Ma, ChengYan Wu, Yun Xue.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 2 · 10 works · 41 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 9 times in our library · ⭐ Paper Stars ranking: #10241

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

🏛️Institute of Scientific and Technical Information of ChinaBeijing · China2023–2026 · 4 paperscurrent🎓Renmin University of ChinaBeijing · China2025–2026 · 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

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

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis (2025 · 21 citations)
    Research on aspect-based sentiment analysis (ABSA) relies mostly on English data. Earlier multilingual resources either use different content per language or cover only a few languages without aspect categories, which makes controlled cross-lingual comparison hard. The authors built M-ABSA, a parallel dataset for…
  2. MSMO-ABSA: Multi-Scale and Multi-Objective Optimization for Cross-Lingual Aspect-Based Sentiment Analysis (2026)
    The paper addresses cross-lingual aspect-based sentiment analysis (ABSA). A model trained on labeled English data must find aspect terms and their sentiment polarity in other languages that have no annotations. The authors argue that earlier translation-based approaches align languages only coarsely and do not match…

 Co-authors here

8 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 9 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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