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Kaizhu Huang

Kaizhu Huang has 2 papers in our library, in 2026, most of them on Language models & pretraining, Bias, fairness & safety.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 41 · 442 works · 10,020 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 14 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #12240

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

🎓Duke Kunshan UniversityKunshan · China2021–2026 · 188 paperscurrent🎓Xi’an Jiaotong-Liverpool UniversitySuzhou · China2013–2025 · 163 papers🏛️Chinese Academy of SciencesBeijing · China2009–2016 · 30 papers🔬Institute of AutomationBeijing · China2009–2016 · 28 papers🎓Chinese University of Hong KongHong Kong · China2003–2008 · 19 papers🎓Zhejiang UniversityHangzhou · China2019–2020 · 12 papers🏢Alibaba GroupHangzhou · China2019–2020 · 11 papers🎓University of LiverpoolLiverpool · United Kingdom2021–2025 · 8 papers🎓University of BristolBristol · United Kingdom2008–2009 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 10 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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Bias, fairness & safety · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Unraveling LLM Jailbreaks Through Safety Knowledge Neurons (2026 · 3 citations)
    Jailbreak prompts can still push well-aligned LLMs into producing harmful content. Existing defenses reduce this risk, but they explain little about why the attacks work internally. The authors study this at the level of MLP "knowledge neurons." They rank neurons by their contribution to each layer's output and keep…
  2. Logic Matters in Lightweight Hallucination Classification for RAG System (2026)
    Retrieval-augmented generation can still produce unsupported answers. Cheap NLI-based checkers often miss these errors when the evidence needed to confirm a claim is spread across several retrieved passages.

All works

5 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. Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetBingfeng Zhang et al.2020 · 209 citations
  2. Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetZhiqiang Gao et al.2021 · 61 citations
  3. Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation ↗arXiv:2412.15594 · no summary yetXiaoqiang Kang et al.2024 · 13 citations
  4. Unraveling LLM Jailbreaks Through Safety Knowledge NeuronsConference of the European Chapter of the Association for Computational Linguistics (EACL)Chongwen Zhao, Yutong Ke, Kaizhu Huang2026 · 3 citations
  5. Logic Matters in Lightweight Hallucination Classification for RAG SystemAnnual Meeting of the Association for Computational Linguistics (ACL)Ningyuan Yang, Kaizhu Huang2026

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 14 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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