--- title: "Yuhan Wu · Shandong University — author profile and papers" description: "Yuhan Wu, Shandong University: 3 papers on Elamur Research (2023–2026), h-index 48 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/yuhan-wu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yuhan-wu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yuhan Wu # Yuhan Wu Yuhan Wu has 3 papers in our library, in 2023–2026, most of them on [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Change Jia](https://md.research.elamur.ai/free/en/authors/change-jia/), [Changhai Zhou](https://md.research.elamur.ai/free/en/authors/changhai-zhou/), [Fei Yang](https://md.research.elamur.ai/free/en/authors/fei-yang/). 3 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5088154305) · [ORCID](https://orcid.org/0000-0002-6288-2112) · [Wikidata](https://www.wikidata.org/wiki/Q137344028) · [**h-index 48**](https://openalex.org/authors/A5088154305) · [261 works](https://openalex.org/works?filter=author.id:A5088154305) · [7,205 citations](https://openalex.org/works?filter=author.id:A5088154305&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yuhan-wu/#papers) · [🔗 Cited 209 times in our library](https://md.research.elamur.ai/free/en/authors/yuhan-wu/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5733](https://md.research.elamur.ai/free/en/paper-stars/page/58/#star-5733) 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=Yuhan+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuhan+Wu) · [dblp](https://dblp.org/search?q=Yuhan+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Yuhan+Wu) ## Affiliations [🎓**Shenyang University of Technology** Shenyang · China 2009–2026 · 64 papersEducation 2009–2013 · BachelorEmployment since 2022 · School of Environmetal and Chemical Engineering*current*](https://ror.org/00d7f8730) · [🎓**Shandong University** Jinan · China 2020–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/shandong-university/) · [🎓**National Taiwan University of Science and Technology** Taipei · Taiwan 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/national-taiwan-university-of-science-and-technology/) · [🎓**Henan Normal University** Xinxiang · China 2019–2024 · 17 papers](https://ror.org/00s13br28) · [🎓**Nanjing University of Aeronautics and Astronautics** Nanjing · China 2017–2023 · 15 papers](https://md.research.elamur.ai/free/en/universities/nanjing-university-of-aeronautics-and-astronautics/) · [🎓**Technische Universität Ilmenau** Ilmenau · Germany 2017–2023 · 15 papersEducation 2017–2021 · Ph.D.](https://ror.org/01weqhp73) · [🎓**Soochow University** Suzhou · China 2020–2024 · 12 papers](https://md.research.elamur.ai/free/en/universities/soochow-university/) · [🎓**Nanjing Forestry University** Nanjing · China 2022–2025 · 10 papers](https://ror.org/03m96p165) · [🎓**Huazhong University of Science and Technology** Wuhan · China 2022–2025 · 9 papers](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/) · [🎓**Yancheng Institute of Technology** Yancheng · China 2023–2025 · 9 papers](https://ror.org/04y8njc86) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 60 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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 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/) 🧭 Topics 2 Research subjects and languages the work is about.[Efficient models & compression · 2 works](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yuhan-wu/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yuhan-wu/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yuhan-wu/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2023-rolellm-benchmarking-eliciting-enhancing-role/)** *(2023 · 187 citations)* Open-source LLMs are trained for general use and are weak at imitating specific fictional characters. Strong closed models such as GPT-4 can do this, but they are costly, cannot be fine-tuned, and need all character details placed in the prompt. RoleLLM addresses this with a four-stage pipeline. First, the authors… 2. **[TinyR1-32B-Preview: Boosting Accuracy with Branch-Merge Distillation](https://md.research.elamur.ai/free/en/papers/sun-2025-tinyr1-32b-preview-boosting-accuracy/)** *(2025 · 7 citations)* Compact reasoning models are usually built by fine-tuning a smaller model on a mix of reasoning traces from a much larger teacher. 3. **[Deputy: Accelerating Large Language Model Inference with Dynamic Low-Rank Substitution](https://md.research.elamur.ai/free/en/papers/zhou-2026-deputy-accelerating-large-language-model/)** *(2026 · 1 citation)* Large language models apply the same dense computation to every token, which wastes resources and slows inference. ## All works 5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. [**RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models arXiv:2310.00746**Zekun Moore Wang, Zhongyuan Peng, Haoran Que, et al.*2023 · 187 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-rolellm-benchmarking-eliciting-enhancing-role/) 2. **[RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models ↗](https://aclanthology.org/2024.findings-acl.878/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Noah Wang et al.*2024 · 114 citations* 3. **[DiaASQ: A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis ↗](https://aclanthology.org/2023.findings-acl.849/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Bobo Li et al.*2023 · 70 citations* 4. [**TinyR1-32B-Preview: Boosting Accuracy with Branch-Merge Distillation arXiv:2503.04872**Lin Sun, Guangxiang Zhao, Xiaoqi Jian, et al.*2025 · 7 citations*](https://md.research.elamur.ai/free/en/papers/sun-2025-tinyr1-32b-preview-boosting-accuracy/) 5. **[Deputy: Accelerating Large Language Model Inference with Dynamic Low-Rank Substitution](https://md.research.elamur.ai/free/en/papers/zhou-2026-deputy-accelerating-large-language-model/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuhua Zhou, Shichao Weng, Changhai Zhou, et al.*2026 · 1 citation* ## Co-authors here 12 of 19 co-authors with a page, the most papers together first. - [Change Jia](https://md.research.elamur.ai/free/en/authors/change-jia/) - [Changhai Zhou](https://md.research.elamur.ai/free/en/authors/changhai-zhou/) - [Fei Yang](https://md.research.elamur.ai/free/en/authors/fei-yang/) - [Guangxiang Zhao](https://md.research.elamur.ai/free/en/authors/guangxiang-zhao/) - [Haoran Que](https://md.research.elamur.ai/free/en/authors/haoran-que/) - [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/) - [Jian Yang](https://md.research.elamur.ai/free/en/authors/jian-yang/) - [Jun Gao](https://md.research.elamur.ai/free/en/authors/jun-gao/) - [Lin Sun](https://md.research.elamur.ai/free/en/authors/lin-sun/) - [Linglin Zhang](https://md.research.elamur.ai/free/en/authors/linglin-zhang/) - [Man Zhang](https://md.research.elamur.ai/free/en/authors/man-zhang/) - [Qian Qiao](https://md.research.elamur.ai/free/en/authors/qian-qiao/) ## 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: ACL 2023 ×2 - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 209 times (of the 149,439 papers whose bibliographies we read); [39 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yuhan-wu/cited-by/). Updated 1 November 2026