---
title: "Jingyu Lu · Hunan University — author profile and papers"
description: "Jingyu Lu, Hunan University: 2 papers on Elamur Research (2026), h-index 29 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/jingyu-lu/"
---
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# Jingyu Lu

Jingyu Lu has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/); often with [Changhao Pan](https://md.research.elamur.ai/free/en/authors/changhao-pan/), [Chenyuhao Wen](https://md.research.elamur.ai/free/en/authors/chenyuhao-wen/), [Tianhao Li](https://md.research.elamur.ai/free/en/authors/tianhao-li/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5068494785) · [ORCID](https://orcid.org/0000-0001-9777-9388) · [**h-index 29**](https://openalex.org/authors/A5068494785) · [129 works](https://openalex.org/works?filter=author.id:A5068494785) · [2,858 citations](https://openalex.org/works?filter=author.id:A5068494785&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jingyu-lu/#papers) · [🔗 Cited 42 times in our library](https://md.research.elamur.ai/free/en/authors/jingyu-lu/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #13670](https://md.research.elamur.ai/free/en/paper-stars/page/137/#star-13670)

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

## Affiliations

[🎓**Harbin Institute of Technology** Harbin · China 2020–2026 · 44 papers*current*](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**Nanjing University of Science and Technology** Nanjing · China 2023–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/nanjing-university-of-science-and-technology/) · [🎓**Hunan University** Changsha · China 2022–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/hunan-university/) · [🎓**Nanyang Technological University** Singapore · Singapore 2010–2014 · 13 papers](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/) · [🎓**Zhejiang University** Hangzhou · China 2018–2025 · 12 papers](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**National University of Singapore** Singapore · Singapore 2014–2016 · 10 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) · [🎓**University of Cambridge** Cambridge · United Kingdom 1997–2021 · 6 papers](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) · [🎓**Australian National University** Canberra · Australia 2024–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/australian-national-university/) · [🎓**Soochow University** Suzhou · China 2022–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/soochow-university/) · [🎓**Jiangsu University** Zhenjiang · China 2021–2022 · 2 papers](https://ror.org/03jc41j30)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 18 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 4 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/)

🧭 Topics 2 Research subjects and languages the work is about.[Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/jingyu-lu/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Are All Prompt Components Value-Neutral? Understanding the Heterogeneous Adversarial Robustness of Dissected Prompt in LLMs](https://md.research.elamur.ai/free/en/papers/zheng-2026-are-all-prompt-components-value/)** *(2026)* Most work on adversarial prompting treats a prompt as one undivided string. This paper argues instead that prompts are built from functional parts, and that these parts differ in how easily an attack can exploit them.
2. **[SDiaReward: Modeling and Benchmarking Spoken Dialogue Rewards with Modality and Colloquialness](https://md.research.elamur.ai/free/en/papers/lu-2026-sdiareward-modeling-benchmarking-spoken-dialogue/)** *(2026)* End-to-end spoken dialogue systems need reward signals that go beyond text semantics. The authors identify two weaknesses in current evaluators. The first is a modality gap: prosody, emotion and channel cues are invisible to text-based judges. The second is a colloquialness gap: written-style replies sound scripted…

## All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[WavChat: A Survey of Spoken Dialogue Models ↗](https://arxiv.org/abs/2411.13577) arXiv:2411.13577 · no summary yet**Shengpeng Ji et al.*2024 · 45 citations*
2. **[Are All Prompt Components Value-Neutral? Understanding the Heterogeneous Adversarial Robustness of Dissected Prompt in LLMs](https://md.research.elamur.ai/free/en/papers/zheng-2026-are-all-prompt-components-value/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yujia Zheng, Tianhao Li, Haotian Huang, et al.*2026*
3. **[SDiaReward: Modeling and Benchmarking Spoken Dialogue Rewards with Modality and Colloquialness](https://md.research.elamur.ai/free/en/papers/lu-2026-sdiareward-modeling-benchmarking-spoken-dialogue/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingyu Lu, Yuhan Wang, Fan Zhuo, et al.*2026*

## Co-authors here

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

- [Changhao Pan](https://md.research.elamur.ai/free/en/authors/changhao-pan/)
- [Chenyuhao Wen](https://md.research.elamur.ai/free/en/authors/chenyuhao-wen/)
- [Tianhao Li](https://md.research.elamur.ai/free/en/authors/tianhao-li/)
- [Tianle Liang](https://md.research.elamur.ai/free/en/authors/tianle-liang/)
- [Xize Cheng](https://md.research.elamur.ai/free/en/authors/xize-cheng/)
- [Yifu Chen](https://md.research.elamur.ai/free/en/authors/yifu-chen/)
- [Yuhan Wang](https://md.research.elamur.ai/free/en/authors/yuhan-wang/)
- [Yujia Zheng](https://md.research.elamur.ai/free/en/authors/yujia-zheng/)
- [Yuyao Ge](https://md.research.elamur.ai/free/en/authors/yuyao-ge/)
- [Zhou Zhao](https://md.research.elamur.ai/free/en/authors/zhou-zhao/)

## 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/)
- [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)

## Cited by

Papers of our library cite their works 42 times (of the 149,439 papers whose bibliographies we read); [12 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jingyu-lu/cited-by/).

Updated 2 November 2026
