--- title: "Hang Xu · Huawei Technologies — author profile and papers" description: "Hang Xu, Huawei Technologies: 2 papers on Elamur Research (2022–2023), h-index 39 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/hang-xu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hang-xu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hang Xu # Hang Xu Hang Xu has 2 papers in our library, in 2022–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Jiacheng Ye](https://md.research.elamur.ai/free/en/authors/jiacheng-ye/), [Jiahui Gao](https://md.research.elamur.ai/free/en/authors/jiahui-gao/), [Lingpeng Kong](https://md.research.elamur.ai/free/en/authors/lingpeng-kong/). 2 papers in our library · 2022–2023 [OpenAlex](https://openalex.org/A5066768790) · [ORCID](https://orcid.org/0000-0003-4176-0738) · [Wikidata](https://www.wikidata.org/wiki/Q51120917) · [**h-index 39**](https://openalex.org/authors/A5066768790) · [241 works](https://openalex.org/works?filter=author.id:A5066768790) · [4,812 citations](https://openalex.org/works?filter=author.id:A5066768790&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/hang-xu/#papers) · [🔗 Cited 212 times in our library](https://md.research.elamur.ai/free/en/authors/hang-xu/cited-by/) · [⭐ Paper Stars ranking: #5380](https://md.research.elamur.ai/free/en/paper-stars/page/54/#star-5380) 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=Hang+Xu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hang+Xu) · [dblp](https://dblp.org/search?q=Hang+Xu) · [ACL Anthology](https://aclanthology.org/search/?q=Hang+Xu) ## Affiliations [🏢**Huawei Technologies** Shenzhen · China 2022–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2003–2025 · 166 papersEmployment](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🔬**State Key Laboratory of Ocean Engineering** Shanghai 2007–2025 · 119 papers](https://ror.org/01m3vks35) · [🔬**Collaborative Innovation Centre for Advanced Ship and Deep-Sea Exploration** Shanghai · China 2016–2025 · 39 papers](https://ror.org/00ffkqt27) · [🎓**Zhejiang University** Hangzhou · China 2023–2025 · 7 papers](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**Nanyang Technological University** Singapore · Singapore 2016–2023 · 6 papers](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/) · [🎓**Wuhan University** Wuhan · China 2022 · 4 papers](https://md.research.elamur.ai/free/en/universities/wuhan-university/) · [🎓**Guangzhou Preschool Teachers College** Guangzhou · China 2025 · 2 papers](https://ror.org/003qfr626) · [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) · [🎓**Newcastle University** Newcastle upon Tyne · United Kingdom 2015–2016 · 2 papers](https://md.research.elamur.ai/free/en/universities/newcastle-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 18 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 7 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/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Applied Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/hang-xu/year/2023/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/hang-xu/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[ZeroGen: Efficient Zero-shot Learning via Dataset Generation](https://md.research.elamur.ai/free/en/papers/ye-2022-zerogen-efficient-zero-shot-learning/)** *(2022 · 245 citations)* The paper asks whether zero-shot NLP can avoid running a huge pre-trained language model (PLM) at inference time. 2. **[G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model](https://md.research.elamur.ai/free/en/papers/gao-2023-g-llava-solving-geometric-problem/)** *(2023 · 76 citations)* Multimodal LLMs, including GPT-4-V, often misread geometric diagrams. They confuse how points and lines relate, misjudge angles and hallucinate figure contents, so they struggle with geometry problems that require visual input. Public geometry datasets are also small and lack image descriptions. The authors address… ## Co-authors here 12 of 13 co-authors with a page, the most papers together first. - [Jiacheng Ye](https://md.research.elamur.ai/free/en/authors/jiacheng-ye/) ×2 - [Jiahui Gao](https://md.research.elamur.ai/free/en/authors/jiahui-gao/) ×2 - [Lingpeng Kong](https://md.research.elamur.ai/free/en/authors/lingpeng-kong/) ×2 - [Jiangtao Feng](https://md.research.elamur.ai/free/en/authors/jiangtao-feng/) - [Jipeng Zhang](https://md.research.elamur.ai/free/en/authors/jipeng-zhang/) - [Lanqing Hong](https://md.research.elamur.ai/free/en/authors/lanqing-hong/) - [Qintong Li](https://md.research.elamur.ai/free/en/authors/qintong-li/) - [Renjie Pi](https://md.research.elamur.ai/free/en/authors/renjie-pi/) - [Tao Yu](https://md.research.elamur.ai/free/en/authors/tao-yu/) - [Wanjun Zhong](https://md.research.elamur.ai/free/en/authors/wanjun-zhong/) - [Yufei Wang](https://md.research.elamur.ai/free/en/authors/yufei-wang/) - [Zhenguo Li](https://md.research.elamur.ai/free/en/authors/zhenguo-li/) ## 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 2022](https://md.research.elamur.ai/free/en/venues/emnlp/2022/) ## Cited by Papers of our library cite their works 212 times (of the 149,439 papers whose bibliographies we read); [47 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hang-xu/cited-by/). Updated 2 November 2026