--- title: "Jun Yang — author profile and papers · Question answering" description: "Jun Yang, Beijing Institute of Technology: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/jun-yang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jun-yang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jun Yang # Jun Yang Jun Yang has 2 papers in our library, in 2026, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/), [Semantic parsing & meaning representation](https://md.research.elamur.ai/free/en/topics/semantic-parsing/); often with [Jing Jiang](https://md.research.elamur.ai/free/en/authors/jing-jiang/), [Zhijing Wu](https://md.research.elamur.ai/free/en/authors/zhijing-wu/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139783691) · [**h-index 0**](https://openalex.org/authors/A5139783691) · [4 works](https://openalex.org/works?filter=author.id:A5139783691) · [0 citations](https://openalex.org/works?filter=author.id:A5139783691&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jun-yang/#papers) · [⭐ Paper Stars ranking: #12070](https://md.research.elamur.ai/free/en/paper-stars/page/121/#star-12070) 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=Jun+Yang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jun+Yang) · [dblp](https://dblp.org/search?q=Jun+Yang) · [ACL Anthology](https://aclanthology.org/search/?q=Jun+Yang) ## Affiliations [🎓**Beijing Institute of Technology** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/beijing-institute-of-technology/) 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).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 4 Research subjects and languages the work is about.[Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Semantic parsing & meaning representation · 1 work](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/jun-yang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[DaMo: Data Mixing Optimizer in Fine-tuning Multimodal LLMs for Mobile Phone Agents](https://md.research.elamur.ai/free/en/papers/shi-2026-damo-data-mixing-optimizer-fine/)** *(2026)* Phone assistants built on multimodal LLMs must combine several skills, including planning, tool calling, memory and screen understanding. 2. **[Subgraph-Guided Executable Logical Form Generation for Knowledge Base Question Answering](https://md.research.elamur.ai/free/en/papers/tian-2026-subgraph-guided-executable-logical-form/)** *(2026)* LLM-based semantic parsers for Knowledge Base Question Answering (KBQA) usually fetch entities and relations separately, ranked only by semantic similarity. ## Co-authors here 2 co-authors with a page, the most papers together first. - [Jing Jiang](https://md.research.elamur.ai/free/en/authors/jing-jiang/) - [Zhijing Wu](https://md.research.elamur.ai/free/en/authors/zhijing-wu/) ## 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 Updated 1 November 2026