--- title: "Zhenhe Wu · China Telecom — author profile and papers" description: "Zhenhe Wu, China Telecom: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/zhenhe-wu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhenhe-wu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhenhe Wu # Zhenhe Wu Zhenhe Wu has 2 papers in our library, in 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/); often with [Jian Yang](https://md.research.elamur.ai/free/en/authors/jian-yang/), [Xianjie Wu](https://md.research.elamur.ai/free/en/authors/xianjie-wu/), [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139788661) · [**h-index 1**](https://openalex.org/authors/A5139788661) · [3 works](https://openalex.org/works?filter=author.id:A5139788661) · [6 citations](https://openalex.org/works?filter=author.id:A5139788661&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zhenhe-wu/#papers) · [🔗 Cited 2 times in our library](https://md.research.elamur.ai/free/en/authors/zhenhe-wu/cited-by/) · [⭐ Paper Stars ranking: #12679](https://md.research.elamur.ai/free/en/paper-stars/page/127/#star-12679) 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=Zhenhe+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhenhe+Wu) · [dblp](https://dblp.org/search?q=Zhenhe+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Zhenhe+Wu) ## Affiliations [🎓**Beihang University** Beijing · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🏢**China Telecom** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/china-telecom-cn/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## 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/) · [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 2 Research subjects and languages the work is about.[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** 2 papers](https://md.research.elamur.ai/free/en/authors/zhenhe-wu/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[M3TQA: Massively Multilingual Multitask Table Question Answering](https://md.research.elamur.ai/free/en/papers/shu-2026-m3tqa-massively-multilingual-multitask-table/)** *(2026 · 2 citations)* Research on table question answering with LLMs has focused mostly on English. The few multilingual table benchmarks that exist mainly cover Indo-European or otherwise prominent languages, and they are too small for fine-grained cross-lingual analysis. M3TQA addresses this gap. It starts from 50 real-world tables (41… 2. **[Table-R1: Region-based Reinforcement Learning for Table Understanding](https://md.research.elamur.ai/free/en/papers/wu-2026-table-r1-region-based-reinforcement/)** *(2026)* Large language models still have difficulty answering questions over tables because answers depend on how rows and columns relate. ## Co-authors here 12 co-authors with a page, the most papers together first. - [Jian Yang](https://md.research.elamur.ai/free/en/authors/jian-yang/) ×2 - [Xianjie Wu](https://md.research.elamur.ai/free/en/authors/xianjie-wu/) ×2 - [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/) - [Hualei Zhu](https://md.research.elamur.ai/free/en/authors/hualei-zhu/) - [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/) - [Shuangyong Song](https://md.research.elamur.ai/free/en/authors/shuangyong-song/) - [Wei Zhang](https://md.research.elamur.ai/free/en/authors/wei-zhang/) - [Xuelong Li](https://md.research.elamur.ai/free/en/authors/xuelong-li/) - [Yongxiang Li](https://md.research.elamur.ai/free/en/authors/yongxiang-li/) - [Yu Zhao](https://md.research.elamur.ai/free/en/authors/yu-zhao/) - [Zhongjiang He](https://md.research.elamur.ai/free/en/authors/zhongjiang-he/) - [Zhoujun Li](https://md.research.elamur.ai/free/en/authors/zhoujun-li/) ## 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 ## Cited by Papers of our library cite their works 2 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/zhenhe-wu/cited-by/). Updated 2 November 2026