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Minfeng Zhu

Minfeng Zhu has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Information retrieval & search, Bias, fairness & safety; often with Wei Chen, Han Wang, Linchao Zhu.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 21 · 76 works · 2,960 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 90 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #8703

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

🎓Zhejiang UniversityHangzhou · China2015–2026 · 49 paperscurrent🎓Central South UniversityChangsha · China2015–2023 · 13 papers🏥Third Xiangya HospitalChangsha · China2017 · 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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work

🧭 Topics 4Research subjects and languages the work is about.Bias, fairness & safety · 1 workEfficient models & compression · 1 workLanguage models & pretraining · 1 workInformation retrieval & search · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning (2024 · 63 citations)
    When an instruction-tuned LLM is further fine-tuned for a narrow downstream task, it tends to lose general abilities such as instruction following, helpfulness and safety alignment.
  2. Attention as Selector: Unlocking VLM Attention for Long Document Page Retrieval (2026)
    Long documents rarely fit into a vision-language model's context, so DocQA pipelines usually pick a few pages first.

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. DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-To-Image Synthesis ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMinfeng Zhu et al.2019 · 632 citations
  2. EEMEFN: Low-Light Image Enhancement via Edge-Enhanced Multi-Exposure Fusion Network ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetMinfeng Zhu et al.2020 · 215 citations
  3. Self-Distillation Bridges Distribution Gap in Language Model Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaorui Yang, Tianyu Pang, Haozhe Feng, et al.2024 · 63 citations
  4. Attention as Selector: Unlocking VLM Attention for Long Document Page RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Minfeng Zhu, Linxin Bao, Wei Chen, et al.2026

 Co-authors here

5 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 90 times (of the 149,439 papers whose bibliographies we read); 17 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/minfeng-zhu/