--- title: "Jiuheng Wan — author profile and papers · Question answering" description: "Jiuheng Wan, Hefei University 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/jiuheng-wan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jiuheng-wan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jiuheng Wan # Jiuheng Wan Jiuheng Wan has 2 papers in our library, in 2026, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/); often with [Chen Chen](https://md.research.elamur.ai/free/en/authors/chen-chen/), [Chengyu Wang](https://md.research.elamur.ai/free/en/authors/chengyu-wang/), [Qizhou Chen](https://md.research.elamur.ai/free/en/authors/qizhou-chen/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5136466873) · [**h-index 0**](https://openalex.org/authors/A5136466873) · [12 works](https://openalex.org/works?filter=author.id:A5136466873) · [0 citations](https://openalex.org/works?filter=author.id:A5136466873&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jiuheng-wan/#papers) · [⭐ Paper Stars ranking: #13678](https://md.research.elamur.ai/free/en/paper-stars/page/137/#star-13678) 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=Jiuheng+Wan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jiuheng+Wan) · [dblp](https://dblp.org/search?q=Jiuheng+Wan) · [ACL Anthology](https://aclanthology.org/search/?q=Jiuheng+Wan) ## Affiliations [🎓**Hefei University of Technology** Hefei · China 2026 · 10 papers*current*](https://md.research.elamur.ai/free/en/universities/hefei-university-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/) · [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/) 🧭 Topics 1 Research subjects and languages the work is about.[Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/jiuheng-wan/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[AMATA: Adaptive Multi-Agent Trajectory Alignment for Knowledge-Intensive Question Answering](https://md.research.elamur.ai/free/en/papers/zhang-2026-amata-adaptive-multi-agent-trajectory/)** *(2026)* LLMs answering knowledge-intensive questions often hallucinate and struggle with long-tail facts. Existing multi-agent QA systems are trained in one of three ways: module by module, end to end, or in a global-local scheme. None of these adapts which agents run for a given question or models how agents depend on each… 2. **[Taming “Zombie” Agents: A Markov State-Aware Framework for Resilient Multi-Agent Evolution](https://md.research.elamur.ai/free/en/papers/zhang-2026-taming-zombie-agents-markov-state/)** *(2026)* LLM-based multi-agent systems often save compute by pruning agents or links from the communication graph. These cuts are permanent. An agent that fails for a moment, through a hallucination or a knowledge gap, is removed even if it could have helped in later rounds. The authors call such agents "zombie" agents. Their… ## Co-authors here 7 co-authors with a page, the most papers together first. - [Chen Chen](https://md.research.elamur.ai/free/en/authors/chen-chen/) ×2 - [Chengyu Wang](https://md.research.elamur.ai/free/en/authors/chengyu-wang/) ×2 - [Qizhou Chen](https://md.research.elamur.ai/free/en/authors/qizhou-chen/) ×2 - [Richang Hong](https://md.research.elamur.ai/free/en/authors/richang-hong/) ×2 - [Taolin Zhang](https://md.research.elamur.ai/free/en/authors/taolin-zhang/) ×2 - [Xiaofeng He](https://md.research.elamur.ai/free/en/authors/xiaofeng-he/) ×2 - [Dongyang Li](https://md.research.elamur.ai/free/en/authors/dongyang-li/) ## 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 Updated 2 November 2026