---
title: "Dazhen Deng · Zhejiang University — author profile and papers"
description: "Dazhen Deng, Zhejiang University: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/dazhen-deng/"
---
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# Dazhen Deng

Dazhen Deng 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/), [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Sen Yang](https://md.research.elamur.ai/free/en/authors/sen-yang/), [Shouling Ji](https://md.research.elamur.ai/free/en/authors/shouling-ji/), [Xin Wu](https://md.research.elamur.ai/free/en/authors/xin-wu/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139834055) · [**h-index 0**](https://openalex.org/authors/A5139834055) · [2 works](https://openalex.org/works?filter=author.id:A5139834055) · [0 citations](https://openalex.org/works?filter=author.id:A5139834055&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/dazhen-deng/#papers) · [⭐ Paper Stars ranking: #13505](https://md.research.elamur.ai/free/en/paper-stars/page/136/#star-13505)

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

## Affiliations

[🎓**Zhejiang University** Hangzhou · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/)

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 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 3 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [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/dazhen-deng/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[SpecEdit: A Spectral Approach for Multi-Round Knowledge Editing](https://md.research.elamur.ai/free/en/papers/liu-2026-specedit-spectral-approach-multi-round/)** *(2026)* Repeated batch editing of a large language model tends to wear down quality over time. Newly inserted facts are written less reliably, paraphrased queries generalize worse, and neighbouring knowledge gets disturbed. The authors study this in locate-then-edit methods such as MEMIT and AlphaEdit. In these methods, the…
2. **[StealthGraph: Exposing Domain-Specific Risks in LLMs through Knowledge-Graph-Guided Harmful Prompt Generation](https://md.research.elamur.ai/free/en/papers/zheng-2026-stealthgraph-exposing-domain-specific-risks/)** *(2026)* LLMs used in specialized fields such as medicine or finance need safety tests, but domain-specific harmful-prompt collections are scarce.

## Co-authors here

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

- [Sen Yang](https://md.research.elamur.ai/free/en/authors/sen-yang/)
- [Shouling Ji](https://md.research.elamur.ai/free/en/authors/shouling-ji/)
- [Xin Wu](https://md.research.elamur.ai/free/en/authors/xin-wu/)
- [Yi Cai](https://md.research.elamur.ai/free/en/authors/yi-cai/)
- [Yingcai Wu](https://md.research.elamur.ai/free/en/authors/yingcai-wu/)

## 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/)
- [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/)

Updated 2 November 2026
