---
title: "Kaishun Wu — author profile and papers · Dialogue systems"
description: "Kaishun Wu, HKUST Shenzhen Research Institute: 3 papers on Elamur Research (2026), h-index 51 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/kaishun-wu/"
---
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# Kaishun Wu

Kaishun Wu has 3 papers in our library, in 2026, most of them on [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Haiqin Yang](https://md.research.elamur.ai/free/en/authors/haiqin-yang/), [Hongbo Zhang](https://md.research.elamur.ai/free/en/authors/hongbo-zhang/), [Jiaheng Wei](https://md.research.elamur.ai/free/en/authors/jiaheng-wei/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5001188748) · [ORCID](https://orcid.org/0000-0003-2216-0737) · [Wikidata](https://www.wikidata.org/wiki/Q131008177) · [**h-index 51**](https://openalex.org/authors/A5001188748) · [450 works](https://openalex.org/works?filter=author.id:A5001188748) · [11,898 citations](https://openalex.org/works?filter=author.id:A5001188748&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/kaishun-wu/#papers) · [⭐ Paper Stars ranking: #13330](https://md.research.elamur.ai/free/en/paper-stars/page/134/#star-13330)

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=Kaishun+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kaishun+Wu) · [dblp](https://dblp.org/search?q=Kaishun+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Kaishun+Wu)

## Affiliations

[🎓**The Hong Kong University of Science and Technology (Guangzhou)** Guangzhou · China 2011–2026 · 170 papers*current*](https://md.research.elamur.ai/free/en/universities/the-hong-kong-university-of-science-and-technology-guangzhou/) · [🔬**HKUST Shenzhen Research Institute** Nanshan · China 2026 · 1 paper*current*](https://ror.org/00sz56h79) · [🎓**Shenzhen University** Shenzhen · China 2012–2025 · 261 papersEmployment](https://md.research.elamur.ai/free/en/universities/shenzhen-university/) · [🎓**Hong Kong University of Science and Technology** Hong Kong · China 2009–2026 · 96 papers](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🔬**Guangzhou HKUST Fok Ying Tung Research Institute** Guangzhou · China 2012–2023 · 29 papers](https://ror.org/05cvbj479) · [🎓**Sun Yat-sen University** Guangzhou · China 2006–2014 · 28 papers](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🔬**Peng Cheng Laboratory** Shenzhen · China 2019–2023 · 23 papers](https://md.research.elamur.ai/free/en/labs/peng-cheng-laboratory/) · [🔬**Key Laboratory of Popular Type of High-performance Computer of Guangdong Province** Shenzhen · China 2015–2016 · 3 papers](https://ror.org/04e505q76) · [🎓**National Sun Yat-sen University** Kaohsiung City · Taiwan 2013–2014 · 2 papers](https://md.research.elamur.ai/free/en/universities/national-sun-yat-sen-university/)

🏛️**The Hong Kong University of Science and Technology - Guangzhou Campus** Guangzhou · [China](https://md.research.elamur.ai/free/en/countries/china/) Employment

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 8 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/) · [Control and Systems Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/control-and-systems-engineering/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 2 Research subjects and languages the work is about.[Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [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/kaishun-wu/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Beyond Prompt Engineering: A Systematic Analysis of Prompt Lexical Sensitivity and Its Impacts on Quality](https://md.research.elamur.ai/free/en/papers/xie-2026-beyond-prompt-engineering-systematic-analysis/)** *(2026)* Large language models often react strongly to small wording changes in a prompt. Prior work mostly treats this as a black-box optimization problem or examines whole templates, so it does not explain which words make a prompt dependable. The authors instead analyze prompt sensitivity statistically at the n-gram token…
2. **[MTO: A Multi-turn Conversational Text-to-OverpassQL Dataset for Enhanced OpenStreetMap Query Generation](https://md.research.elamur.ai/free/en/papers/zhang-2026-mto-multi-turn-conversational-text/)** *(2026)* OverpassQL, the query language for OpenStreetMap (OSM), is hard for non-experts to learn. Earlier text-to-OverpassQL resources such as OverpassNL handle only single, isolated questions, while real users usually refine a request over several turns. The authors build MTO, which they describe as the first conversational…
3. **[VIDA: A Visual Intent-driven Design Assistant for Proactive Multimodal Clarification](https://md.research.elamur.ai/free/en/papers/liu-2026-vida-visual-intent-driven-design/)** *(2026)* Interior design clients often submit brief, vague requests with photos. Human designers resolve these by asking targeted questions in a sensible order: layout and other essentials first, decorative details later. Current vision-language models lack this skill. When fine-tuned on dialogue, they also tend to lose track…

## Co-authors here

7 co-authors with a page, the most papers together first.

- [Haiqin Yang](https://md.research.elamur.ai/free/en/authors/haiqin-yang/)
- [Hongbo Zhang](https://md.research.elamur.ai/free/en/authors/hongbo-zhang/)
- [Jiaheng Wei](https://md.research.elamur.ai/free/en/authors/jiaheng-wei/)
- [Tao Fan](https://md.research.elamur.ai/free/en/authors/tao-fan/)
- [Yuanfeng Song](https://md.research.elamur.ai/free/en/authors/yuanfeng-song/)
- [Zhen Sun](https://md.research.elamur.ai/free/en/authors/zhen-sun/)
- [Zi Liang](https://md.research.elamur.ai/free/en/authors/zi-liang/)

## 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/) ×3: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×3

Updated 2 November 2026
