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Zheyu Zhang

Zheyu Zhang has 2 papers in our library, in 2023–2025, most of them on Sentiment & emotion, Multilingual & cross-lingual NLP; often with Barbara Plank, Bolei Ma, Chuang Gan.

2 papers in our library · 2023–2025

OpenAlex · ORCID · h-index 4 · 25 works · 92 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 28 times in our library · ⭐ Paper Stars ranking: #8061

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

🎓Munich Center for Machine LearningMunich · Germany2026 · 2 paperscurrent🎓Technical University of MunichMunich · Germany2026 · 2 paperscurrent🎓Tsinghua UniversityBeijing · China2016–2023 · 4 papers🔬China Industrial Control Systems Cyber Emergency Response TeamBeijing2021–2022 · 3 papers🏢State Grid Corporation of ChinaBeijing · China2023–2024 · 2 papers🔬Shanghai LibraryShanghai · China2020–2023 · 2 papers🏢State Grid Chongqing Electric Power CompanyChongqing · China2023 · 2 papers🎓Tianjin UniversityTianjin · China2022 · 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

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

 Works by year

2020s

20251 paper20231 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. ModuleFormer: Modularity Emerges from Mixture-of-Experts (2023 · 21 citations)
    Dense large language models use every parameter for every token. This makes them costly to run and hard to update with new knowledge without catastrophic forgetting. Earlier modular approaches based on Sparse Mixture of Experts, such as DEMix, depended on domain-labeled training data. The authors propose…

 Co-authors here

9 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 28 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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