--- title: "Yuge Zhang · Peking University — author profile and papers" description: "Yuge Zhang, Peking University: 2 papers on Elamur Research (2024–2026), h-index 14 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/yuge-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yuge-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yuge Zhang # Yuge Zhang Yuge Zhang has 2 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Dongsheng Li](https://md.research.elamur.ai/free/en/authors/dongsheng-li/), [Jian Wang](https://md.research.elamur.ai/free/en/authors/jian-wang/), [Jiang Bian](https://md.research.elamur.ai/free/en/authors/jiang-bian/). 2 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5101646087) · [ORCID](https://orcid.org/0000-0001-6346-8872) · [**h-index 14**](https://openalex.org/authors/A5101646087) · [135 works](https://openalex.org/works?filter=author.id:A5101646087) · [641 citations](https://openalex.org/works?filter=author.id:A5101646087&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yuge-zhang/#papers) · [🔗 Cited 26 times in our library](https://md.research.elamur.ai/free/en/authors/yuge-zhang/cited-by/) · [⭐ Paper Stars ranking: #8983](https://md.research.elamur.ai/free/en/paper-stars/page/90/#star-8983) 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=Yuge+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuge+Zhang) · [dblp](https://dblp.org/search?q=Yuge+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Yuge+Zhang) ## Affiliations [🎓**Tsinghua University** Beijing · China 2021–2026 · 35 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Peking University** Beijing · China 2024–2026 · 32 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Aarhus University** Aarhus · Denmark 2023–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/aarhus-university/) · [🔬**State Key Laboratory of Nuclear Physics and Technology** Beijing 2025–2026 · 5 papers*current*](https://ror.org/00tp8bz22) · [🏢**Microsoft** Redmond · United States 2020–2025 · 4 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**Northwestern Polytechnical University** Xi'an · China 2021–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/northwestern-polytechnical-university/) · [🎓**Shandong University** Jinan · China 2021–2023 · 4 papers](https://md.research.elamur.ai/free/en/universities/shandong-university/) · [🎓**Wuhan University of Science and Technology** Wuhan · China 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/wuhan-university-of-science-and-technology/) · [🎓**Zhejiang A & F University** Lin’an Shi · China 2023–2024 · 3 papers](https://ror.org/02vj4rn06) · [🏢**Microsoft Research Asia** Beijing · China 2020–2023 · 2 papers](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 10 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).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 2 Research subjects and languages the work is about.[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** 1 paper](https://md.research.elamur.ai/free/en/authors/yuge-zhang/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yuge-zhang/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks](https://md.research.elamur.ai/free/en/papers/zhang-2024-mlcopilot-unleashing-power-large-language/)** *(2024 · 52 citations)* Configuring machine learning solutions for new tasks takes a lot of effort. AutoML tools such as Bayesian optimization need many costly trials, ignore earlier tasks, and are hard for developers to interpret. MLCopilot is a framework that uses large language models (GPT-3.5) to propose ML solutions the way a human… 2. **[Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search](https://md.research.elamur.ai/free/en/papers/zhang-2026-reasoning-as-gradient-scaling-mle/)** *(2026)* Most LLM agents for machine learning engineering (MLE) improve solutions through tree or graph search. They reduce rich execution feedback to a scalar score and use it only to decide which candidate to keep. The authors argue that this is a gradient-free approach. It wastes diagnostic information that strong… ## Co-authors here 9 co-authors with a page, the most papers together first. - [Dongsheng Li](https://md.research.elamur.ai/free/en/authors/dongsheng-li/) - [Jian Wang](https://md.research.elamur.ai/free/en/authors/jian-wang/) - [Jiang Bian](https://md.research.elamur.ai/free/en/authors/jiang-bian/) - [Jingyuan Li](https://md.research.elamur.ai/free/en/authors/jingyuan-li/) - [Lei Zhang](https://md.research.elamur.ai/free/en/authors/lei-zhang/) - [Xiao Yang](https://md.research.elamur.ai/free/en/authors/xiao-yang/) - [Xu Yang](https://md.research.elamur.ai/free/en/authors/xu-yang/) - [Yifei Zhang](https://md.research.elamur.ai/free/en/authors/yifei-zhang/) - [Yuqing Yang](https://md.research.elamur.ai/free/en/authors/yuqing-yang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2024](https://md.research.elamur.ai/free/en/venues/eacl/2024/) - [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 26 times (of the 149,439 papers whose bibliographies we read); [8 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yuge-zhang/cited-by/). Updated 2 November 2026