---
title: "Jun Yu — author profile and papers · Bias, fairness & safety"
description: "Jun Yu, University of Science and Technology of China: 4 papers on Elamur Research (2019–2026), h-index 53 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/jun-yu/"
---
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# Jun Yu

Jun Yu has 4 papers in our library, in 2019–2026, most of them on [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/), [Named entity recognition](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Min Zhang](https://md.research.elamur.ai/free/en/authors/min-zhang/), [Daojing He](https://md.research.elamur.ai/free/en/authors/daojing-he/), [Jing Li](https://md.research.elamur.ai/free/en/authors/jing-li/).

4 papers in our library · 2019–2026

[OpenAlex](https://openalex.org/A5050817770) · [ORCID](https://orcid.org/0000-0003-1922-7283) · [Wikidata](https://www.wikidata.org/wiki/Q130850827) · [**h-index 53**](https://openalex.org/authors/A5050817770) · [392 works](https://openalex.org/works?filter=author.id:A5050817770) · [14,044 citations](https://openalex.org/works?filter=author.id:A5050817770&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/jun-yu/#papers) · [🔗 Cited 194 times in our library](https://md.research.elamur.ai/free/en/authors/jun-yu/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4182](https://md.research.elamur.ai/free/en/paper-stars/page/42/#star-4182)

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

## Affiliations

[🎓**Harbin Institute of Technology** Harbin · China 2014–2026 · 33 papers*current*](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**University of Science and Technology of China** Hefei · China 2020–2026 · 23 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🎓**Hangzhou Dianzi University** Hangzhou · China 2014–2025 · 202 papers](https://md.research.elamur.ai/free/en/universities/hangzhou-dianzi-university/) · [🎓**Xiamen University** Xiamen · China 2011–2014 · 25 papers](https://md.research.elamur.ai/free/en/universities/xiamen-university/) · [🎓**Xi'an Technological University** Xi'an · China 2010–2025 · 15 papers](https://ror.org/01t8prc81) · [🎓**Nanyang Technological University** Singapore · Singapore 2010–2011 · 6 papers](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/) · [🎓**Binghamton University** Binghamton · United States 2007–2010 · 6 papers](https://md.research.elamur.ai/free/en/universities/binghamton-university/) · [🏢**State Grid Corporation of China** Beijing · China 2018–2022 · 5 papers](https://md.research.elamur.ai/free/en/companies/state-grid-corporation-of-china/) · [🎓**Jiangnan University** Wuxi · China 2018–2021 · 5 papers](https://ror.org/04mkzax54) · [🎓**Jilin University of Chemical Technology** Jilin City · China 2023–2025 · 4 papers](https://ror.org/03bvz5p76)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 38 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 · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [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/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 5 Research subjects and languages the work is about.[Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Bias, fairness & safety · 2 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Named entity recognition · 1 work](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/jun-yu/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/jun-yu/year/2025/)

### 2010s

[**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/jun-yu/year/2019/)

## Papers

The most cited first (OpenAlex and our library).

1. **[ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering](https://md.research.elamur.ai/free/en/papers/yu-2019-activitynet-qa-dataset-understanding-complex/)** *(2019 · 403 citations)* Video question answering (VideoQA) has had weaker benchmarks than image QA. Existing datasets tend to be small, rely on QA pairs generated automatically from captions, use very short clips, or cover only a few activity types. To address this, the authors built ActivityNet-QA, a fully human-annotated, open-ended…
2. **[MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming](https://md.research.elamur.ai/free/en/papers/guo-2025-mtsa-multi-turn-safety-alignment/)** *(2025 · 14 citations)* Jailbreak research and safety training have mostly targeted single-turn prompts. In multi-turn chats, an attacker can spread harmful intent across several innocent-looking turns, and LLMs are more likely to give in. MTSA is a two-stage framework for multi-turn safety.
3. **[Safety Alignment via Constrained Knowledge Unlearning](https://md.research.elamur.ai/free/en/papers/shi-2025-safety-alignment-constrained-knowledge-unlearning/)** *(2025 · 13 citations)* Aligned large language models still produce harmful content under jailbreak attacks. The authors argue this happens because standard defenses, such as continued safety training, teach models to refuse without removing the dangerous knowledge itself, and they can also erode general skills. They propose Constrained…
4. **[Beyond Unimodal Shortcuts: MLLMs as Cross-Modal Reasoners for Grounded Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/ma-2026-beyond-unimodal-shortcuts-mllms-as/)** *(2026)* Grounded Multimodal Named Entity Recognition (GMNER) asks a system to find named entities in a sentence, label their types, and link each one to a bounding box in the paired image, or mark it as absent from the image.

## All works

6 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. **[ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering](https://md.research.elamur.ai/free/en/papers/yu-2019-activitynet-qa-dataset-understanding-complex/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Zhou Yu, Dejing Xu, Jun Yu, et al.*2019 · 403 citations*
2. **[Prompting Large Language Models with Answer Heuristics for Knowledge-Based Visual Question Answering ↗](https://doi.org/10.1109/cvpr52729.2023.01438) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Zhenwei Shao et al.*2023 · 262 citations*
3. **[Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing ↗](https://doi.org/10.1609/aaai.v35i5.16592) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Jun Yu et al.*2021 · 199 citations*
4. **[MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming](https://md.research.elamur.ai/free/en/papers/guo-2025-mtsa-multi-turn-safety-alignment/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weiyang Guo, Jing Li, Wenya Wang, et al.*2025 · 14 citations*
5. **[Safety Alignment via Constrained Knowledge Unlearning](https://md.research.elamur.ai/free/en/papers/shi-2025-safety-alignment-constrained-knowledge-unlearning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zesheng Shi, Yucheng Zhou, Jing Li, et al.*2025 · 13 citations*
6. **[Beyond Unimodal Shortcuts: MLLMs as Cross-Modal Reasoners for Grounded Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/ma-2026-beyond-unimodal-shortcuts-mllms-as/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jinlong Ma, Yu Zhang, Xuefeng Bai, et al.*2026*

## Co-authors here

12 of 18 co-authors with a page, the most papers together first.

- [Min Zhang](https://md.research.elamur.ai/free/en/authors/min-zhang/) ×3
- [Daojing He](https://md.research.elamur.ai/free/en/authors/daojing-he/) ×2
- [Jing Li](https://md.research.elamur.ai/free/en/authors/jing-li/) ×2
- [Yu Li](https://md.research.elamur.ai/free/en/authors/yu-li/) ×2
- [Dacheng Tao](https://md.research.elamur.ai/free/en/authors/dacheng-tao/)
- [Fangming Liu](https://md.research.elamur.ai/free/en/authors/fangming-liu/)
- [Kehai Chen](https://md.research.elamur.ai/free/en/authors/kehai-chen/)
- [Weiyang Guo](https://md.research.elamur.ai/free/en/authors/weiyang-guo/)
- [Wenya Wang](https://md.research.elamur.ai/free/en/authors/wenya-wang/)
- [Xuefeng Bai](https://md.research.elamur.ai/free/en/authors/xuefeng-bai/)
- [Yu Zhang](https://md.research.elamur.ai/free/en/authors/yu-zhang/)
- [Yucheng Zhou](https://md.research.elamur.ai/free/en/authors/yucheng-zhou/)

## 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 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2
- [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/) ×2: [Proceedings of the AAAI Conference on Artificial Intelligence 2019](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/2019/)
- [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/)
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

## Cited by

Papers of our library cite their works 194 times (of the 149,439 papers whose bibliographies we read); [30 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jun-yu/cited-by/).

Updated 1 November 2026
