--- title: "Qingbao Huang — author profile and papers — Elamur Research" description: "Qingbao Huang, Guangzhou University of Chinese Medicine: 2 papers on Elamur Research (2023–2026), h-index 15 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/qingbao-huang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/qingbao-huang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Qingbao Huang # Qingbao Huang Qingbao Huang has 2 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Mengchen Zhao](https://md.research.elamur.ai/free/en/authors/mengchen-zhao/), [Xin Wu](https://md.research.elamur.ai/free/en/authors/xin-wu/), [Yi Cai](https://md.research.elamur.ai/free/en/authors/yi-cai/). 2 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5061381102) · [ORCID](https://orcid.org/0000-0001-7691-347X) · [**h-index 15**](https://openalex.org/authors/A5061381102) · [87 works](https://openalex.org/works?filter=author.id:A5061381102) · [812 citations](https://openalex.org/works?filter=author.id:A5061381102&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/qingbao-huang/#papers) · [🔗 Cited 13 times in our library](https://md.research.elamur.ai/free/en/authors/qingbao-huang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #11680](https://md.research.elamur.ai/free/en/paper-stars/page/117/#star-11680) 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=Qingbao+Huang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Qingbao+Huang) · [dblp](https://dblp.org/search?q=Qingbao+Huang) · [ACL Anthology](https://aclanthology.org/search/?q=Qingbao+Huang) ## Affiliations [🎓**Guangxi University** Nanning · China 2001–2026 · 78 papersEducation 2001–2004Employment since 2012 · Professor, School of Electrical Engineering*current*](https://md.research.elamur.ai/free/en/universities/guangxi-university/) · [🎓**South China University of Technology** Guangzhou · China 2018–2026 · 17 papersEducation 2018–2021*current*](https://md.research.elamur.ai/free/en/universities/south-china-university-of-technology/) · [🎓**Guangzhou University of Chinese Medicine** Guangzhou · China 2025–2026 · 2 papers*current*](https://ror.org/03qb7bg95) · [🏥**Shenzhen Traditional Chinese Medicine Hospital** Shenzhen · China 2025–2026 · 2 papers*current*](https://ror.org/00b16vp10) · [🎓**Central South University** Changsha · China 1997–2001Education 1997–2001](https://md.research.elamur.ai/free/en/universities/central-south-university/) 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 4 Research subjects and languages the work is about.[Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/qingbao-huang/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/qingbao-huang/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Multi-modal Sarcasm Generation: Dataset and Solution](https://md.research.elamur.ai/free/en/papers/zhao-2023-multi-modal-sarcasm-generation-dataset/)** *(2023 · 6 citations)* Earlier work on sarcasm generation dealt only with text. On social media, however, sarcasm often comes from pairing a picture with a short post. Zhao et al. define Multi-modal Sarcasm Generation (MSG): given an image and the hashtags that name the target of the mockery, the system must write a human-like sarcastic… 2. **[Unlocking Human-Like Visible Logic: How Logic Diagrams Boost Logic Reasoning in Large Language Models?](https://md.research.elamur.ai/free/en/papers/wu-2026-unlocking-human-like-visible-logic/)** *(2026)* Large language models frequently reach fluent but logically unsound conclusions in formal reasoning. Text alone struggles to encode set boundaries, inclusion and overlap. The authors test whether giving vision-language models a logic diagram alongside the textual premises helps, much as people sketch diagrams to… ## 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. **[Aligned Dual Channel Graph Convolutional Network for Visual Question Answering ↗](https://aclanthology.org/2020.acl-main.642/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Qingbao Huang et al.*2020 · 88 citations* 2. **[Multi-modal Sarcasm Generation: Dataset and Solution](https://md.research.elamur.ai/free/en/papers/zhao-2023-multi-modal-sarcasm-generation-dataset/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenye Zhao, Qingbao Huang, Dongsheng Xu, et al.*2023 · 6 citations* 3. **[Unlocking Human-Like Visible Logic: How Logic Diagrams Boost Logic Reasoning in Large Language Models?](https://md.research.elamur.ai/free/en/papers/wu-2026-unlocking-human-like-visible-logic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xin Wu, Yuqi Bu, Mengchen Zhao, et al.*2026* ## Co-authors here 3 co-authors with a page, the most papers together first. - [Mengchen Zhao](https://md.research.elamur.ai/free/en/authors/mengchen-zhao/) - [Xin Wu](https://md.research.elamur.ai/free/en/authors/xin-wu/) - [Yi Cai](https://md.research.elamur.ai/free/en/authors/yi-cai/) ## 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/), [Findings of the Association for Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/findings/2023/) - Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics ## Cited by Papers of our library cite their works 13 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/qingbao-huang/cited-by/). Updated 2 November 2026