--- title: "Chengyu Huang · Jinan University — author profile and papers" description: "Chengyu Huang, Jinan University: 2 papers on Elamur Research (2026), h-index 35 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/chengyu-huang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chengyu-huang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chengyu Huang # Chengyu Huang Chengyu Huang has 2 papers in our library, in 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 [Claire Cardie](https://md.research.elamur.ai/free/en/authors/claire-cardie/), [Zhengxin Zhang](https://md.research.elamur.ai/free/en/authors/zhengxin-zhang/), [Dan Zhao](https://md.research.elamur.ai/free/en/authors/dan-zhao/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5019261957) · [ORCID](https://orcid.org/0000-0001-9521-5650) · [Wikidata](https://www.wikidata.org/wiki/Q38324588) · [**h-index 35**](https://openalex.org/authors/A5019261957) · [108 works](https://openalex.org/works?filter=author.id:A5019261957) · [4,331 citations](https://openalex.org/works?filter=author.id:A5019261957&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/chengyu-huang/#papers) · [🔗 Cited 3 times in our library](https://md.research.elamur.ai/free/en/authors/chengyu-huang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #12196](https://md.research.elamur.ai/free/en/paper-stars/page/122/#star-12196) 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=Chengyu+Huang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chengyu+Huang) · [dblp](https://dblp.org/search?q=Chengyu+Huang) · [ACL Anthology](https://aclanthology.org/search/?q=Chengyu+Huang) ## Affiliations [🎓**The University of Texas at San Antonio Health Science Center** San Antonio · United States 2022–2026 · 2 papers*current*](https://ror.org/02f6dcw23) · [🎓**Cornell University** Ithaca · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/cornell-university/) · [🎓**Jinan University** Guangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/jinan-university/) · [🏥**Third Xiangya Hospital** Changsha · China 2026 · 1 paper*current*](https://ror.org/05akvb491) · [🎓**Tsinghua University** Beijing · China 2015–2025 · 49 papersEmployment](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🏥**Beijing Tsinghua Chang Gung Hospital** Beijing · China 2015–2025 · 41 papers](https://ror.org/050nfgr37) · [🎓**Nippon Medical School** Tokyo · Japan 2010–2015 · 20 papers](https://ror.org/00krab219) · [🏥**Meitan General Hospital** Beijing · China 2010–2017 · 16 papers](https://ror.org/00jy5cn48) · [🏥**Nippon Medical School Hospital** Tokyo · Japan 2011–2015 · 9 papers](https://ror.org/04y6ges66) · [🎓**University of California, Irvine** Irvine · United States 2024 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-irvine/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 21 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 4 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/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/chengyu-huang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Better LLM Reasoning via Dual-Play](https://md.research.elamur.ai/free/en/papers/zhang-2026-better-llm-reasoning-dual-play/)** *(2026 · 3 citations)* Reinforcement learning with verifiable rewards (RLVR) has improved LLM reasoning, but it depends on large sets of curated problems with correct answers. 2. **[GSM-Noise: Exploring and Enhancing Large Language Models' Reasoning under Noisy Inputs](https://md.research.elamur.ai/free/en/papers/zhang-2026-gsm-noise-exploring-enhancing-large/)** *(2026)* LLMs that score well on clean math benchmarks often fail when real users send messy prompts. The authors first examined long English prompts from WildChat-1M, using QwQ-32B as a checker. Grammar slips, symbol errors, misordered statements and irrelevant content were all common, and longer prompts contained more of… ## All works 3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Matrix-transmitted paratensile signaling enables myofibroblast – fibroblast cross talk in fibrosis expansion ↗](https://doi.org/10.1073/pnas.1910650117) Proceedings of the National Academy of Sciences · no summary yet**Longwei Liu et al.*2020 · 93 citations* 2. **[Better LLM Reasoning via Dual-Play](https://md.research.elamur.ai/free/en/papers/zhang-2026-better-llm-reasoning-dual-play/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhengxin Zhang, Chengyu Huang, Aochong Oliver Li, et al.*2026 · 3 citations* 3. **[GSM-Noise: Exploring and Enhancing Large Language Models' Reasoning under Noisy Inputs](https://md.research.elamur.ai/free/en/papers/zhang-2026-gsm-noise-exploring-enhancing-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhengxin Zhang, Chengyu Huang, Xufu Liu, et al.*2026* ## Co-authors here 4 co-authors with a page, the most papers together first. - [Claire Cardie](https://md.research.elamur.ai/free/en/authors/claire-cardie/) ×2 - [Zhengxin Zhang](https://md.research.elamur.ai/free/en/authors/zhengxin-zhang/) ×2 - [Dan Zhao](https://md.research.elamur.ai/free/en/authors/dan-zhao/) - [Jinyan Su](https://md.research.elamur.ai/free/en/authors/jinyan-su/) ## 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/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 - Proceedings of the National Academy of Sciences ## Cited by Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/chengyu-huang/cited-by/). Updated 2 November 2026