--- title: "Haoran Tan · Hunan University — author profile and papers" description: "Haoran Tan, Hunan University: 2 papers on Elamur Research (2024–2026), h-index 17 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/haoran-tan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/haoran-tan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Haoran Tan # Haoran Tan Haoran Tan has 2 papers in our library, in 2024–2026; often with [Bo Li](https://md.research.elamur.ai/free/en/authors/bo-li/), [Chen Ma](https://md.research.elamur.ai/free/en/authors/chen-ma/), [Chunyuan Li](https://md.research.elamur.ai/free/en/authors/chunyuan-li/). 2 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5035969755) · [ORCID](https://orcid.org/0000-0003-4127-8896) · [**h-index 17**](https://openalex.org/authors/A5035969755) · [77 works](https://openalex.org/works?filter=author.id:A5035969755) · [750 citations](https://openalex.org/works?filter=author.id:A5035969755&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/haoran-tan/#papers) · [🔗 Cited 71 times in our library](https://md.research.elamur.ai/free/en/authors/haoran-tan/cited-by/) · [⭐ Paper Stars ranking: #8480](https://md.research.elamur.ai/free/en/paper-stars/page/85/#star-8480) 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=Haoran+Tan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Haoran+Tan) · [dblp](https://dblp.org/search?q=Haoran+Tan) · [ACL Anthology](https://aclanthology.org/search/?q=Haoran+Tan) ## Affiliations [🎓**Hunan University** Changsha · China 2021–2026 · 49 papers*current*](https://md.research.elamur.ai/free/en/universities/hunan-university/) · [🎓**Renmin University of China** Beijing · China 2024–2026 · 10 papers*current*](https://md.research.elamur.ai/free/en/universities/renmin-university-of-china/) · [🎓**Central South University** Changsha · China 2016–2019 · 4 papers](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. 11 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 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/haoran-tan/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/haoran-tan/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Long Context Transfer from Language to Vision](https://md.research.elamur.ai/free/en/papers/zhang-2024-long-context-transfer-language-vision/)** *(2024 · 73 citations)* Current large multimodal models (LMMs) struggle with very long videos. Each frame yields many visual tokens, and most work responds by compressing those tokens. This paper locates the bottleneck elsewhere: the limited context window of the underlying language model. The authors first lengthen the context of… 2. **[From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents](https://md.research.elamur.ai/free/en/papers/tan-2026-coarse-fine-self-adaptive-hierarchical/)** *(2026)* LLM agents that plan explicitly usually produce plans at a single, fixed level of detail. Such plans are too verbose for easy tasks and too shallow for hard ones. The authors propose AdaPlan-H, a planner inspired by the cognitive-science idea of progressive refinement. It first drafts a coarse global plan and then… ## Co-authors here 12 co-authors with a page, the most papers together first. - [Bo Li](https://md.research.elamur.ai/free/en/authors/bo-li/) - [Chen Ma](https://md.research.elamur.ai/free/en/authors/chen-ma/) - [Chunyuan Li](https://md.research.elamur.ai/free/en/authors/chunyuan-li/) - [Guangtao Zeng](https://md.research.elamur.ai/free/en/authors/guangtao-zeng/) - [Jingkang Yang](https://md.research.elamur.ai/free/en/authors/jingkang-yang/) - [Kaichen Zhang](https://md.research.elamur.ai/free/en/authors/kaichen-zhang/) - [Peiyuan Zhang](https://md.research.elamur.ai/free/en/authors/peiyuan-zhang/) - [Xu Chen](https://md.research.elamur.ai/free/en/authors/xu-chen/) - [Yuanhan Zhang](https://md.research.elamur.ai/free/en/authors/yuanhan-zhang/) - [Zeyu Zhang](https://md.research.elamur.ai/free/en/authors/zeyu-zhang/) - [Ziwei Liu](https://md.research.elamur.ai/free/en/authors/ziwei-liu/) - [Ziyue Wang](https://md.research.elamur.ai/free/en/authors/ziyue-wang/) ## 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/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 71 times (of the 149,439 papers whose bibliographies we read); [14 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/haoran-tan/cited-by/). Updated 2 November 2026