--- title: "Yao Ma — author profile and papers — Elamur Research" description: "Yao Ma, Rensselaer Polytechnic Institute: 3 papers on Elamur Research (2026), h-index 34 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/yao-ma/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yao-ma/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yao Ma # Yao Ma Yao Ma has 3 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Qian Ma](https://md.research.elamur.ai/free/en/authors/qian-ma/), [Wenqi Fan](https://md.research.elamur.ai/free/en/authors/wenqi-fan/), [Xueru Zhang](https://md.research.elamur.ai/free/en/authors/xueru-zhang/). 3 papers in our library · 2026 [OpenAlex](https://openalex.org/A5019508763) · [ORCID](https://orcid.org/0000-0002-8283-8645) · [Wikidata](https://www.wikidata.org/wiki/Q59551144) · [**h-index 34**](https://openalex.org/authors/A5019508763) · [119 works](https://openalex.org/works?filter=author.id:A5019508763) · [3,579 citations](https://openalex.org/works?filter=author.id:A5019508763&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yao-ma/#papers) · [⭐ Paper Stars ranking: #10855](https://md.research.elamur.ai/free/en/paper-stars/page/109/#star-10855) 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=Yao+Ma) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yao+Ma) · [dblp](https://dblp.org/search?q=Yao+Ma) · [ACL Anthology](https://aclanthology.org/search/?q=Yao+Ma) ## Affiliations [🎓**Rensselaer Polytechnic Institute** Troy · United States 2024–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/rensselaer-polytechnic-institute/) · [🎓**Georgia Institute of Technology** Atlanta · United States 2015–2022 · 23 papersEducation since 2015](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) · [🎓**Lanzhou University** Lanzhou · China 2017–2025 · 11 papers](https://md.research.elamur.ai/free/en/universities/lanzhou-university/) · [🎓**Anhui Normal University** Wuhu · China 2022–2023 · 10 papers](https://ror.org/05fsfvw79) · [🎓**Zhejiang University** Hangzhou · China 2012–2023 · 7 papersEducation 2012–2015](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🔬**State Key Laboratory of Applied Organic Chemistry** Gansu 2019–2025 · 6 papers](https://ror.org/050fgfc71) · [🏛️**Chinese Academy of Sciences** Beijing · China 2017–2023 · 6 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**Xiamen University** Xiamen · China 2008–2025 · 5 papersEducation 2008–2012](https://md.research.elamur.ai/free/en/universities/xiamen-university/) · [🎓**Beijing Institute of Technology** Beijing · China 2020–2022 · 5 papers](https://md.research.elamur.ai/free/en/universities/beijing-institute-of-technology/) · [🎓**Northwest University** Xi'an · China 2018–2021 · 5 papers](https://md.research.elamur.ai/free/en/universities/northwest-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 20 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).[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/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 3 Research subjects and languages the work is about.[Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/yao-ma/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Exploring Graph Learning Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation](https://md.research.elamur.ai/free/en/papers/wang-2026-exploring-graph-learning-tasks-pure/)** *(2026 · 1 citation)* LLM-based graph learning studies use inconsistent datasets, preprocessing and splits, so it remains unclear how pure LLMs compare with dedicated graph models. 2. **[Ground Then Rank: Revisiting Knowledge-Based VQA with Training-Free Entity Identification](https://md.research.elamur.ai/free/en/papers/ma-2026-ground-then-rank-revisiting-knowledge/)** *(2026 · 1 citation)* Knowledge-based VQA requires facts that the image alone does not show. Multimodal LLMs often fail at it because they must recognise the exact real-world entity and then find the right supporting passage. The authors argue that most MM-RAG pipelines merge these two grounding steps into one costly, trained multimodal… 3. **[Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection](https://md.research.elamur.ai/free/en/papers/tan-2026-understanding-structured-financial-data-llms/)** *(2026 · 1 citation)* Tabular fraud detectors such as gradient-boosted trees depend on laborious feature engineering and provide little insight into individual decisions. ## Co-authors here 4 co-authors with a page, the most papers together first. - [Qian Ma](https://md.research.elamur.ai/free/en/authors/qian-ma/) - [Wenqi Fan](https://md.research.elamur.ai/free/en/authors/wenqi-fan/) - [Xueru Zhang](https://md.research.elamur.ai/free/en/authors/xueru-zhang/) - [Yuxiang Wang](https://md.research.elamur.ai/free/en/authors/yuxiang-wang/) ## 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 - [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/) Updated 1 November 2026