--- title: "Tian Xueyun — author profile and papers — Elamur Research" description: "Tian Xueyun, Institute of Computing Technology: 3 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/tian-xueyun/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/tian-xueyun/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Tian Xueyun # Tian Xueyun Tian Xueyun has 3 papers in our library, in 2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Bingbing Xu](https://md.research.elamur.ai/free/en/authors/bingbing-xu/), [Huawei Shen](https://md.research.elamur.ai/free/en/authors/huawei-shen/), [Heng Dong](https://md.research.elamur.ai/free/en/authors/heng-dong/). 3 papers in our library · 2026 [OpenAlex](https://openalex.org/A5057189865) · [**h-index 1**](https://openalex.org/authors/A5057189865) · [11 works](https://openalex.org/works?filter=author.id:A5057189865) · [1 citations](https://openalex.org/works?filter=author.id:A5057189865&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/tian-xueyun/#papers) · [⭐ Paper Stars ranking: #13369](https://md.research.elamur.ai/free/en/paper-stars/page/134/#star-13369) 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=Tian+Xueyun) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tian+Xueyun) · [dblp](https://dblp.org/search?q=Tian+Xueyun) · [ACL Anthology](https://aclanthology.org/search/?q=Tian+Xueyun) ## Affiliations [🎓**University of Chinese Academy of Sciences** Beijing · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🔬**Institute of Computing Technology** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-computing-technology/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 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/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) 🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/tian-xueyun/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Chain-of-Memory: Lightweight Memory Construction with Dynamic Evolution for LLM Agents](https://md.research.elamur.ai/free/en/papers/xu-2026-chain-memory-lightweight-memory-construction/)** *(2026)* LLM agents handling long interaction histories rely on external memory. Popular systems spend heavily on turning past dialogue into trees or graphs, then simply paste retrieved snippets into the prompt. The authors show that this costly structuring barely beats plain RAG. They also find that retrieving the right… 2. **[Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization](https://md.research.elamur.ai/free/en/papers/xueyun-2026-learning-mistakes-negative-reasoning-samples/)** *(2026)* SFT on distilled chain-of-thought data usually relies on rejection sampling, which keeps only trajectories whose final answer is correct. 3. **[ROMA: Real-time Omni-Multimodal Assistant with Interactive Streaming Understanding](https://md.research.elamur.ai/free/en/papers/xueyun-2026-roma-real-time-omni-multimodal/)** *(2026)* ROMA tackles streaming audio-video understanding: an assistant must watch and listen to a live stream, answer questions when asked (reactive mode), and speak up unprompted when something relevant happens (proactive mode). ## Co-authors here 7 co-authors with a page, the most papers together first. - [Bingbing Xu](https://md.research.elamur.ai/free/en/authors/bingbing-xu/) ×3 - [Huawei Shen](https://md.research.elamur.ai/free/en/authors/huawei-shen/) ×3 - [Heng Dong](https://md.research.elamur.ai/free/en/authors/heng-dong/) ×2 - [Wei Li](https://md.research.elamur.ai/free/en/authors/wei-li/) ×2 - [Yuanzhuo Wang](https://md.research.elamur.ai/free/en/authors/yuanzhuo-wang/) ×2 - [MingHua Ma](https://md.research.elamur.ai/free/en/authors/minghua-ma/) - [Zheng Chu](https://md.research.elamur.ai/free/en/authors/zheng-chu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 - [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/) Updated 2 November 2026