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Hui-Po Wang

Hui-Po Wang has 2 papers in our library, in 2026, most of them on Language models & pretraining; often with Mario Fritz.

2 papers in our library · 2026

OpenAlex · h-index 9 · 31 works · 482 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 5 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #10035

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🔬Helmholtz Center for Information SecuritySaarbrücken · Germany2020–2026 · 13 paperscurrent🎓National Taiwan UniversityTaipei · Taiwan1995–1996 · 4 papers🎓National Yang Ming Chiao Tung UniversityHsinchu · Taiwan2019 · 2 papers🎓Chang Gung UniversityTaoyuan · Taiwan2005–2007 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 8The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 1 workComputer Science · 1 workArts and Humanities · 1 workDecision Sciences · 1 workHistory and Philosophy of Science · 1 workSafety Research · 1 workSocial Sciences · 1 workStatistics, Probability and Uncertainty · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews (2026 · 8 citations)
    Peer review is increasingly assisted or even fully generated by LLMs. This paper asks whether such systems treat authors differently depending on who they are. The authors simulate a single-blind setting and build a counterfactual audit. Each paper is reviewed many times, and only one piece of author metadata changes…
  2. ProxyPrompt: Securing System Prompts against Prompt Extraction Attacks (2026 · 1 citation)
    System prompts for LLM applications often represent significant engineering effort and may contain confidential rules, filtering criteria or business logic.

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. All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetWei-Lun Chang et al.2019 · 257 citations
  2. Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer ReviewsFindings of the Association for Computational LinguisticsSai Suresh Macharla Vasu, Ivaxi Sheth, Hui-Po Wang, et al.2026 · 8 citations
  3. ProxyPrompt: Securing System Prompts against Prompt Extraction AttacksFindings of the Association for Computational LinguisticsZhixiong Zhuang, Maria-Irina Nicolae, Hui-Po Wang, et al.2026 · 1 citation

 Co-authors here

1 co-author with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 5 times (of the 149,439 papers whose bibliographies we read).

Updated

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