---
title: "Peizhao Hu · Huawei Technologies — author profile and papers"
description: "Peizhao Hu, Huawei Technologies: 3 papers on Elamur Research (2025–2026), h-index 15 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/peizhao-hu/"
---
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# Peizhao Hu

Peizhao Hu has 3 papers in our library, in 2025–2026, most of them on [Legal AI](https://md.research.elamur.ai/free/en/topics/legal-ai/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Haoran Li](https://md.research.elamur.ai/free/en/authors/haoran-li/), [Huihao Jing](https://md.research.elamur.ai/free/en/authors/huihao-jing/), [Qi Hu](https://md.research.elamur.ai/free/en/authors/qi-hu/).

3 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5090846864) · [ORCID](https://orcid.org/0000-0001-7260-6325) · [**h-index 15**](https://openalex.org/authors/A5090846864) · [77 works](https://openalex.org/works?filter=author.id:A5090846864) · [1,919 citations](https://openalex.org/works?filter=author.id:A5090846864&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/peizhao-hu/#papers) · [🔗 Cited 19 times in our library](https://md.research.elamur.ai/free/en/authors/peizhao-hu/cited-by/) · [⭐ Paper Stars ranking: #9999](https://md.research.elamur.ai/free/en/paper-stars/page/100/#star-9999)

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

## Affiliations

[🏢**Huawei Technologies** Shenzhen · China 2024–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) · [🔬**Data61** Sydney · Australia 2006–2015 · 36 papers](https://md.research.elamur.ai/free/en/labs/data61/) · [🎓**Rochester Institute of Technology** Rochester · United States 2015–2025 · 31 papers](https://md.research.elamur.ai/free/en/universities/rochester-institute-of-technology/) · [🎓**The University of Queensland** Brisbane · Australia 2006–2014 · 11 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-queensland/)

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 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 4 Research subjects and languages the work is about.[Legal AI · 2 works](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[PrivaCI-Bench: Evaluating Privacy with Contextual Integrity and Legal Compliance](https://md.research.elamur.ai/free/en/papers/li-2025-privaci-bench-evaluating-privacy-contextual/)** *(2025 · 17 citations)* Most privacy benchmarks for LLMs reduce privacy to spotting personally identifiable information. That ignores whether a particular data flow is appropriate in its setting. PrivaCI-Bench addresses this gap using Contextual Integrity (CI) theory. CI describes each flow by five parameters: sender, recipient, subject…
2. **[Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/hu-2025-context-reasoner-incentivizing-reasoning-capability/)** *(2025 · 7 citations)* LLMs deployed as tool-using agents raise safety and privacy risks. Typical defenses detect sensitive patterns instead of reasoning about the situation, and they rarely reflect actual legal standards. The authors reframe safety and privacy as compliance questions grounded in Contextual Integrity (CI) theory. Under CI…
3. **[From Domains to Instances: Dual-Granularity Data Synthesis for LLM Unlearning](https://md.research.elamur.ai/free/en/papers/xu-2026-domains-instances-dual-granularity-data/)** *(2026)* Evaluating machine unlearning in LLMs is unreliable when forget sets do not match what the model actually knows.

## Co-authors here

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

- [Haoran Li](https://md.research.elamur.ai/free/en/authors/haoran-li/) ×2
- [Huihao Jing](https://md.research.elamur.ai/free/en/authors/huihao-jing/) ×2
- [Qi Hu](https://md.research.elamur.ai/free/en/authors/qi-hu/) ×2
- [Sirui Han](https://md.research.elamur.ai/free/en/authors/sirui-han/) ×2
- [Tianshu Chu](https://md.research.elamur.ai/free/en/authors/tianshu-chu/) ×2
- [Wenbin Hu](https://md.research.elamur.ai/free/en/authors/wenbin-hu/) ×2
- [Yangqiu Song](https://md.research.elamur.ai/free/en/authors/yangqiu-song/) ×2
- [Minxin Du](https://md.research.elamur.ai/free/en/authors/minxin-du/)
- [Xiaoyu Xu](https://md.research.elamur.ai/free/en/authors/xiaoyu-xu/)
- [Yulin Chen](https://md.research.elamur.ai/free/en/authors/yulin-chen/)
- [Zi Liang](https://md.research.elamur.ai/free/en/authors/zi-liang/)
- [Ziqian Zeng](https://md.research.elamur.ai/free/en/authors/ziqian-zeng/)

## 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 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)
- [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/)

## Cited by

Papers of our library cite their works 19 times (of the 149,439 papers whose bibliographies we read); [5 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/peizhao-hu/cited-by/).

Updated 2 November 2026
