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Minxin Du

Minxin Du has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining; often with Peizhao Hu, Tianhao Wang, Xiang Yue.

2 papers in our library · 2024–2026

OpenAlex · ORCID · Wikidata · h-index 18 · 40 works · 977 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 115 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #8216

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

🎓Hong Kong Polytechnic UniversityHong Kong · China2024–2026 · 13 papersEmployment since 2024 · Research Assistant Professor, Department of Electrical and Electronic Engineeringcurrent🎓Hong Kong University of Science and TechnologyHong Kong · China2026 · 1 papercurrent🎓The Hong Kong University of Science and Technology (Guangzhou)Guangzhou · China2026 · 1 papercurrent🎓Chinese University of Hong KongHong Kong · China2020–2024 · 11 papers🎓Wuhan UniversityWuhan · China2015–2018 · 9 papers🔬State Key Laboratory of Software EngineeringHubei2015–2017 · 4 papers🎓Xidian UniversityXi'an · China2018 · 2 papers

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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksSafety Research · 1 workSocial Sciences · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 2 works

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Machine Unlearning of Pre-trained Large Language Models (2024 · 86 citations)
    The paper addresses how to make a pre-trained large language model behave as if certain training documents had never been included, for example in response to copyright or privacy removal requests.
  2. From Domains to Instances: Dual-Granularity Data Synthesis for LLM Unlearning (2026)
    Evaluating machine unlearning in LLMs is unreliable when forget sets do not match what the model actually knows.

All works

4 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. Differential Privacy for Text Analytics via Natural Text Sanitization ↗Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yetXiang Yue et al.2021 · 94 citations
  2. Machine Unlearning of Pre-trained Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jin Yao, Eli Chien, Minxin Du, et al.2024 · 86 citations
  3. Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning ↗arXiv:2507.00432 · no summary yetMaggie Huan et al.2025 · 25 citations
  4. From Domains to Instances: Dual-Granularity Data Synthesis for LLM UnlearningFindings of the Association for Computational LinguisticsXiaoyu Xu, Minxin Du, Zitong LI, et al.2026

 Co-authors here

6 co-authors 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 115 times (of the 149,439 papers whose bibliographies we read); 26 citing papers with a page here →.

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