--- title: "Zeguan Xiao — author profile and papers — Elamur Research" description: "Zeguan Xiao, Shanghai University of Finance and Economics: 2 papers on Elamur Research (2026), h-index 3 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/zeguan-xiao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zeguan-xiao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zeguan Xiao # Zeguan Xiao Zeguan Xiao has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Guanhua Chen](https://md.research.elamur.ai/free/en/authors/guanhua-chen/), [Yun Chen](https://md.research.elamur.ai/free/en/authors/yun-chen/), [Jian Yang](https://md.research.elamur.ai/free/en/authors/jian-yang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5090522275) · [**h-index 3**](https://openalex.org/authors/A5090522275) · [10 works](https://openalex.org/works?filter=author.id:A5090522275) · [109 citations](https://openalex.org/works?filter=author.id:A5090522275&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zeguan-xiao/#papers) · [🔗 Cited 19 times in our library](https://md.research.elamur.ai/free/en/authors/zeguan-xiao/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #12675](https://md.research.elamur.ai/free/en/paper-stars/page/127/#star-12675) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Zeguan+Xiao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zeguan+Xiao) · [dblp](https://dblp.org/search?q=Zeguan+Xiao) · [ACL Anthology](https://aclanthology.org/search/?q=Zeguan+Xiao) ## Affiliations [🎓**Shanghai University of Finance and Economics** Shanghai · China 2024–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/universities/shanghai-university-of-finance-and-economics/) · [🎓**Jinan University** Guangzhou · China 2021–2022 · 2 papers](https://md.research.elamur.ai/free/en/universities/jinan-university/) 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 2 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/zeguan-xiao/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Modeling LLM Unlearning as an Asymmetric Two-Task Learning Problem](https://md.research.elamur.ai/free/en/papers/xiao-2026-modeling-llm-unlearning-as-asymmetric/)** *(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](https://md.research.elamur.ai/free/en/papers/xiao-2026-representation-guided-parameter-efficient-llm/)** *(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 ↗](https://aclanthology.org/2021.emnlp-main.724/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Zeguan Xiao et al.*2021 · 111 citations* 2. **[Modeling LLM Unlearning as an Asymmetric Two-Task Learning Problem](https://md.research.elamur.ai/free/en/papers/xiao-2026-modeling-llm-unlearning-as-asymmetric/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zeguan Xiao, Siqing Li, Yong Wang, et al.*2026 · 2 citations* 3. **[Representation-Guided Parameter-Efficient LLM Unlearning](https://md.research.elamur.ai/free/en/papers/xiao-2026-representation-guided-parameter-efficient-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zeguan Xiao, Lang Mo, Yun Chen, et al.*2026* ## Co-authors here 6 co-authors with a page, the most papers together first. - [Guanhua Chen](https://md.research.elamur.ai/free/en/authors/guanhua-chen/) ×2 - [Yun Chen](https://md.research.elamur.ai/free/en/authors/yun-chen/) ×2 - [Jian Yang](https://md.research.elamur.ai/free/en/authors/jian-yang/) - [Jiehui Zhao](https://md.research.elamur.ai/free/en/authors/jiehui-zhao/) - [Lei Yang](https://md.research.elamur.ai/free/en/authors/lei-yang/) - [Yong Wang](https://md.research.elamur.ai/free/en/authors/yong-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) - Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ## 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 →](https://md.research.elamur.ai/free/en/authors/zeguan-xiao/cited-by/). Updated 2 November 2026