--- title: "Zheyu Zhang — author profile and papers — Elamur Research" description: "Zheyu Zhang, Munich Center for Machine Learning: 4 papers on Elamur Research (2023–2026), h-index 0 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/zheyu-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zheyu-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zheyu Zhang # Zheyu Zhang Zheyu Zhang has 4 papers in our library, in 2023–2026, 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/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Gjergji Kasneci](https://md.research.elamur.ai/free/en/authors/gjergji-kasneci/), [Barbara Plank](https://md.research.elamur.ai/free/en/authors/barbara-plank/), [Bolei Ma](https://md.research.elamur.ai/free/en/authors/bolei-ma/). 4 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5139843959) · [**h-index 0**](https://openalex.org/authors/A5139843959) · [4 works](https://openalex.org/works?filter=author.id:A5139843959) · [0 citations](https://openalex.org/works?filter=author.id:A5139843959&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/zheyu-zhang/#papers) · [🔗 Cited 28 times in our library](https://md.research.elamur.ai/free/en/authors/zheyu-zhang/cited-by/) · [⭐ Paper Stars ranking: #9243](https://md.research.elamur.ai/free/en/paper-stars/page/93/#star-9243) 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=Zheyu+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zheyu+Zhang) · [dblp](https://dblp.org/search?q=Zheyu+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Zheyu+Zhang) ## Affiliations [🎓**Technical University of Munich** Munich · Germany 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/technical-university-of-munich/) · [🎓**Munich Center for Machine Learning** Munich · Germany 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/munich-center-for-machine-learning/) 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).[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/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 4 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/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/zheyu-zhang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/zheyu-zhang/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/zheyu-zhang/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/wu-2025-m-absa-multilingual-dataset-aspect/)** *(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](https://md.research.elamur.ai/free/en/papers/shen-2023-moduleformer-modularity-emerges-mixture-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… 3. **[SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generation](https://md.research.elamur.ai/free/en/papers/yang-2026-sage-sparse-adaptive-guidance-dependency/)** *(2026)* LLM-based generators of synthetic tables usually encode each row as text and let every feature attend to every other one. 4. **[Where Paths Split: Localized, Calibrated Control of Moral Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/yuan-2026-where-paths-split-localized-calibrated/)** *(2026)* LLMs tend to shift between moral stances depending on context. Existing steering methods, such as prompting or adding a vector scaled by an unbounded coefficient, are hard to interpret and give no guarantee about how strongly a target view will appear. The authors propose Convergent-Divergent Routing (CDR), an… ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Gjergji Kasneci](https://md.research.elamur.ai/free/en/authors/gjergji-kasneci/) ×2 - [Barbara Plank](https://md.research.elamur.ai/free/en/authors/barbara-plank/) - [Bolei Ma](https://md.research.elamur.ai/free/en/authors/bolei-ma/) - [ChengYan Wu](https://md.research.elamur.ai/free/en/authors/chengyan-wu/) - [Chuang Gan](https://md.research.elamur.ai/free/en/authors/chuang-gan/) - [Ningyuan Deng](https://md.research.elamur.ai/free/en/authors/ningyuan-deng/) - [Shawn Tan](https://md.research.elamur.ai/free/en/authors/shawn-tan/) - [Shuo Yang](https://md.research.elamur.ai/free/en/authors/shuo-yang/) - [Yanshu Li](https://md.research.elamur.ai/free/en/authors/yanshu-li/) - [Yi Zhang](https://md.research.elamur.ai/free/en/authors/yi-zhang/) - [Yihong Liu](https://md.research.elamur.ai/free/en/authors/yihong-liu/) - [Yikang Shen](https://md.research.elamur.ai/free/en/authors/yikang-shen/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) ## Cited by Papers of our library cite their works 28 times (of the 149,439 papers whose bibliographies we read); [5 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zheyu-zhang/cited-by/). Updated 2 November 2026