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Zeguan Xiao

Zeguan Xiao has 2 papers in our library, in 2026, most of them on Language models & pretraining; often with Guanhua Chen, Yun Chen, Jian Yang.

2 papers in our library · 2026

OpenAlex · h-index 3 · 10 works · 109 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 19 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #12675

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

🎓Shanghai University of Finance and EconomicsShanghai · China2024–2026 · 7 paperscurrent🎓Jinan UniversityGuangzhou · China2021–2022 · 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 2The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 works

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

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Modeling LLM Unlearning as an Asymmetric Two-Task Learning Problem (2026 · 2 citations)
    LLM unlearning aims to erase targeted knowledge, such as hazardous biosecurity or cybersecurity facts or personal data, while keeping the model generally useful.
  2. Representation-Guided Parameter-Efficient LLM Unlearning (2026)
    Removing memorized private or harmful content from LLMs without retraining is hard. LoRA-based unlearning methods such as FILA and VILA pick which weights to modify using Fisher-information importance scores. Because of superposition, a single parameter often serves many concepts, so these scores cannot cleanly…

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. BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classification ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetZeguan Xiao et al.2021 · 111 citations
  2. Modeling LLM Unlearning as an Asymmetric Two-Task Learning ProblemAnnual Meeting of the Association for Computational Linguistics (ACL)Zeguan Xiao, Siqing Li, Yong Wang, et al.2026 · 2 citations
  3. Representation-Guided Parameter-Efficient LLM UnlearningFindings of the Association for Computational LinguisticsZeguan Xiao, Lang Mo, Yun Chen, 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 19 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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