--- title: "Jingyi Wang · Shenzhen University — author profile and papers" description: "Jingyi Wang, Shenzhen University: 2 papers on Elamur Research (2025–2026), h-index 3 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/jingyi-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jingyi-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jingyi Wang # Jingyi Wang Jingyi Wang has 2 papers in our library, in 2025–2026, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Bohan Yu](https://md.research.elamur.ai/free/en/authors/bohan-yu/), [Jun Zhou](https://md.research.elamur.ai/free/en/authors/jun-zhou/), [Junnan Zhu](https://md.research.elamur.ai/free/en/authors/junnan-zhu/). 2 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5100736340) · [ORCID](https://orcid.org/0009-0007-4803-0822) · [**h-index 3**](https://openalex.org/authors/A5100736340) · [6 works](https://openalex.org/works?filter=author.id:A5100736340) · [21 citations](https://openalex.org/works?filter=author.id:A5100736340&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jingyi-wang/#papers) · [🔗 Cited 5 times in our library](https://md.research.elamur.ai/free/en/authors/jingyi-wang/cited-by/) · [⭐ Paper Stars ranking: #10287](https://md.research.elamur.ai/free/en/paper-stars/page/103/#star-10287) 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=Jingyi+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jingyi+Wang) · [dblp](https://dblp.org/search?q=Jingyi+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Jingyi+Wang) ## Affiliations [🎓**Shenzhen University** Shenzhen · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shenzhen-university/) · [🎓**Jiangsu University** Zhenjiang · China 2018–2020 · 2 papers](https://ror.org/03jc41j30) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 · 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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/jingyi-wang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/jingyi-wang/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[TableEval: A Real-World Benchmark for Complex, Multilingual, and Multi-Structured Table Question Answering](https://md.research.elamur.ai/free/en/papers/zhu-2025-tableeval-real-world-benchmark-complex/)** *(2025 · 7 citations)* TableEval addresses weaknesses in existing table question answering (TableQA) benchmarks. Most rely on simple flat tables, cover a single language, and may overlap with LLM pretraining data. The authors gathered tables from documents published in 2024, drawn from government, finance, academic and industry-report… 2. **[Training-Free Adaptive Speculative Decoding via Linguistic Priors](https://md.research.elamur.ai/free/en/papers/wang-2026-training-free-adaptive-speculative-decoding/)** *(2026)* Speculative decoding speeds up LLM inference: a small drafter proposes tokens and a large target model checks them in parallel. ## Co-authors here 5 co-authors with a page, the most papers together first. - [Bohan Yu](https://md.research.elamur.ai/free/en/authors/bohan-yu/) - [Jun Zhou](https://md.research.elamur.ai/free/en/authors/jun-zhou/) - [Junnan Zhu](https://md.research.elamur.ai/free/en/authors/junnan-zhu/) - [Lei Wang](https://md.research.elamur.ai/free/en/authors/lei-wang/) - [Nan Xu](https://md.research.elamur.ai/free/en/authors/nan-xu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) - [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 5 times (of the 149,439 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jingyi-wang/cited-by/). Updated 1 November 2026