--- title: "Shuyue Guo — author profile and papers — Elamur Research" description: "Shuyue Guo, Tianjin Medical University Cancer Institute and Hospital: 6 papers on Elamur Research (2026), h-index 16 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/shuyue-guo/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shuyue-guo/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shuyue Guo # Shuyue Guo Shuyue Guo has 6 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Jian Yang](https://md.research.elamur.ai/free/en/authors/jian-yang/), [Linzheng Chai](https://md.research.elamur.ai/free/en/authors/linzheng-chai/), [Wei Zhang](https://md.research.elamur.ai/free/en/authors/wei-zhang/). 6 papers in our library · 2026 [OpenAlex](https://openalex.org/A5104280301) · [ORCID](https://orcid.org/0000-0002-4780-2794) · [Wikidata](https://www.wikidata.org/wiki/Q89954266) · [**h-index 16**](https://openalex.org/authors/A5104280301) · [65 works](https://openalex.org/works?filter=author.id:A5104280301) · [1,405 citations](https://openalex.org/works?filter=author.id:A5104280301&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/shuyue-guo/#papers) · [🔗 Cited 52 times in our library](https://md.research.elamur.ai/free/en/authors/shuyue-guo/cited-by/) · [⭐ Paper Stars ranking: #9805](https://md.research.elamur.ai/free/en/paper-stars/page/99/#star-9805) 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=Shuyue+Guo) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shuyue+Guo) · [dblp](https://dblp.org/search?q=Shuyue+Guo) · [ACL Anthology](https://aclanthology.org/search/?q=Shuyue+Guo) ## Affiliations [🎓**Tianjin Medical University** Tianjin · China 2023–2026 · 12 papers*current*](https://ror.org/02mh8wx89) · [🏥**Tianjin Medical University Cancer Institute and Hospital** Tianjin · China 2023–2026 · 12 papers*current*](https://ror.org/0152hn881) · [🔬**Sandia National Laboratories** Albuquerque · United States 2016–2026 · 6 papersEmployment since 2016 · R&D Material Scientist, Explosive Technologies Group*current*](https://md.research.elamur.ai/free/en/labs/sandia-national-laboratories/) · [🎓**Beihang University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2014–2020 · 11 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2014–2020 · 9 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🔬**Beijing National Laboratory for Molecular Sciences** Beijing · China 2016–2020 · 8 papers](https://ror.org/02601yx74) · [🔬**Institute of Chemistry** Beijing · China 2016–2020 · 8 papers](https://ror.org/048y1rc66) · [🎓**Beijing University of Posts and Telecommunications** Beijing · China 2022–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/beijing-university-of-posts-and-telecommunications/) · [🏥**Institut du cancer Rosalind & Morris Goodman** Montreal · Canada 2023–2024 · 3 papers](https://ror.org/0494tzz73) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 15 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 9 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Software · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/software/) · [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 3 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Code & programming languages · 2 works](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 6 papers](https://md.research.elamur.ai/free/en/authors/shuyue-guo/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization](https://md.research.elamur.ai/free/en/papers/peng-2026-criticlean-critic-guided-reinforcement-learning/)** *(2026 · 12 citations)* Turning informal math problems into Lean 4 theorem statements often produces code that compiles but does not mean what the original problem says. 2. **[MdEval: Massively Multilingual Code Debugging](https://md.research.elamur.ai/free/en/papers/liu-2026-mdeval-massively-multilingual-code-debugging/)** *(2026 · 12 citations)* Most existing code-debugging benchmarks for LLMs, such as DebugBench and DebugEval, cover only one to three languages and are mostly Python-centred. 3. **[Scaling Laws for Code: Every Programming Language Matters](https://md.research.elamur.ai/free/en/papers/yang-2026-scaling-laws-code-every-programming/)** *(2026 · 2 citations)* Classic scaling laws treat code as a single, language-agnostic domain. In practice, programming languages (PLs) contribute unequally during pre-training, so loss predictions for multilingual code LLMs can be inaccurate. This study runs more than 1000 pre-training experiments from scratch, costing roughly 336,000 H800… 4. **[V-GameGym: Visual Game Generation for Code Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-v-gamegym-visual-game-generation/)** *(2026 · 1 citation)* Existing code benchmarks mostly check whether generated programs compile and pass tests. They largely ignore what matters for games: whether the result is playable, looks right and behaves coherently over time. V-GameGym fills this gap with a benchmark for visual game generation in Python/Pygame. The authors mined… 5. **[COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values](https://md.research.elamur.ai/free/en/papers/wu-2026-coig-p-high-quality-large/)** *(2026)* Chinese alignment work lacks good preference data. Existing Chinese datasets are small, often drawn from a single source such as Zhihu, and seldom checked by training models on them. Human labelling is also too costly to scale. The authors build an annotation pipeline that uses LLMs only, with no human labelling.… 6. **[LoopCoder: Scaling Code Intelligence via Looped Language Models](https://md.research.elamur.ai/free/en/papers/yang-2026-loopcoder-scaling-code-intelligence-looped/)** *(2026)* Code LLMs usually get better at algorithmic reasoning by adding depth and parameters, which ties reasoning capacity to memory cost. ## Co-authors here 12 of 35 co-authors with a page, the most papers together first. - [Jian Yang](https://md.research.elamur.ai/free/en/authors/jian-yang/) ×4 - [Linzheng Chai](https://md.research.elamur.ai/free/en/authors/linzheng-chai/) ×4 - [Wei Zhang](https://md.research.elamur.ai/free/en/authors/wei-zhang/) ×4 - [Jiajun Wu](https://md.research.elamur.ai/free/en/authors/jiajun-wu/) ×2 - [Shukai Liu](https://md.research.elamur.ai/free/en/authors/shukai-liu/) ×2 - [Siwei Wu](https://md.research.elamur.ai/free/en/authors/siwei-wu/) ×2 - [Tianyu Zheng](https://md.research.elamur.ai/free/en/authors/tianyu-zheng/) ×2 - [Aishan Liu](https://md.research.elamur.ai/free/en/authors/aishan-liu/) - [Bowen Zhou](https://md.research.elamur.ai/free/en/authors/bowen-zhou/) - [Bryan Dai](https://md.research.elamur.ai/free/en/authors/bryan-dai/) - [Che Liu](https://md.research.elamur.ai/free/en/authors/che-liu/) - [Chenchen Zhang](https://md.research.elamur.ai/free/en/authors/chenchen-zhang/) ## 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](https://md.research.elamur.ai/free/en/venues/findings/) ×5: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×5 - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ## Cited by Papers of our library cite their works 52 times (of the 149,439 papers whose bibliographies we read); [20 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shuyue-guo/cited-by/). Updated 2 November 2026