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Yucheng Zhou

Yucheng Zhou has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Bias, fairness & safety, Vision & language; often with Daojing He, Fangming Liu, Jing Li.

3 papers in our library · 2025–2026

OpenAlex · h-index 1 · 16 works · 2 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 11 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #9344

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

🎓University of MacauMacao · China2026 · 13 paperscurrent

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 5The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 2 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Bias, fairness & safety · 1 workLanguage models & pretraining · 2 worksVision & language · 1 work

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Safety Alignment via Constrained Knowledge Unlearning (2025 · 13 citations)
    Aligned large language models still produce harmful content under jailbreak attacks. The authors argue this happens because standard defenses, such as continued safety training, teach models to refuse without removing the dangerous knowledge itself, and they can also erode general skills. They propose Constrained…
  2. LADR: Locality-Aware Dynamic Rescue for Efficient Text-to-Image Generation with Diffusion Large Language Models (2026 · 2 citations)
    Discrete Diffusion Language Models (DLMs) can handle text and images in one framework, but they generate slowly.
  3. Compatibility-Aware Dynamic Fine-Tuning for Large Language Models (2026 · 1 citation)
    Standard SFT of large language models tends to be unstable and to generalize poorly. The earlier Dynamic Fine-Tuning (DFT) method addresses this by correcting how gradients are scaled for individual tokens. However, DFT still treats every training demonstration as equally worth learning from. Real instruction…

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Safety Alignment via Constrained Knowledge UnlearningAnnual Meeting of the Association for Computational Linguistics (ACL)Zesheng Shi, Yucheng Zhou, Jing Li, et al.2025 · 13 citations
  2. LADR: Locality-Aware Dynamic Rescue for Efficient Text-to-Image Generation with Diffusion Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chenglin Wang, Yucheng Zhou, Shuang Chen, et al.2026 · 2 citations
  3. Compatibility-Aware Dynamic Fine-Tuning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yucheng Zhou, Junwei Sheng, Qianning Wang, et al.2026 · 1 citation
  4. Accelerating Training of Autoregressive Video Generation Models via Local Optimization with Representation Continuity ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYucheng Zhou, Jianbing Shen2026
  5. Multimodal Large Language Models for Multi-Subject In-Context Image Generation ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYucheng Zhou et al.2026

 Co-authors here

9 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 11 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

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