--- title: "Heng Dong · Tsinghua University — author profile and papers" description: "Heng Dong, Tsinghua University: 2 papers on Elamur Research (2026), h-index 7 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/heng-dong/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/heng-dong/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Heng Dong # Heng Dong Heng Dong has 2 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/), [Tian Xueyun](https://md.research.elamur.ai/free/en/authors/tian-xueyun/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5101474122) · [ORCID](https://orcid.org/0000-0002-3400-913X) · [**h-index 7**](https://openalex.org/authors/A5101474122) · [17 works](https://openalex.org/works?filter=author.id:A5101474122) · [264 citations](https://openalex.org/works?filter=author.id:A5101474122&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/heng-dong/#papers) · [⭐ Paper Stars ranking: #13598](https://md.research.elamur.ai/free/en/paper-stars/page/136/#star-13598) 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=Heng+Dong) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Heng+Dong) · [dblp](https://dblp.org/search?q=Heng+Dong) · [ACL Anthology](https://aclanthology.org/search/?q=Heng+Dong) ## Affiliations [🎓**Tsinghua University** Beijing · China 2017–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🔬**State Key Joint Laboratory of Environment Simulation and Pollution Control** Beijing · China 2017–2019 · 3 papers](https://ror.org/03ckpzr37) 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 7 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/) · [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/) · [Language and Linguistics · 2 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** 2 papers](https://md.research.elamur.ai/free/en/authors/heng-dong/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[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. 2. **[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/) ×2 - [Huawei Shen](https://md.research.elamur.ai/free/en/authors/huawei-shen/) ×2 - [Tian Xueyun](https://md.research.elamur.ai/free/en/authors/tian-xueyun/) ×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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [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