--- title: "Zheyuan Liu — author profile and papers — Elamur Research" description: "Zheyuan Liu, University of Notre Dame: 2 papers on Elamur Research (2024), h-index 32 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/zheyuan-liu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zheyuan-liu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zheyuan Liu # Zheyuan Liu Zheyuan Liu has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Meng Jiang](https://md.research.elamur.ai/free/en/authors/meng-jiang/), [Yijun Tian](https://md.research.elamur.ai/free/en/authors/yijun-tian/), [Zhaoxuan Tan](https://md.research.elamur.ai/free/en/authors/zhaoxuan-tan/). 2 papers in our library · 2024 [OpenAlex](https://openalex.org/A5090431203) · [ORCID](https://orcid.org/0000-0002-3243-3922) · [**h-index 32**](https://openalex.org/authors/A5090431203) · [184 works](https://openalex.org/works?filter=author.id:A5090431203) · [3,280 citations](https://openalex.org/works?filter=author.id:A5090431203&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zheyuan-liu/#papers) · [🔗 Cited 134 times in our library](https://md.research.elamur.ai/free/en/authors/zheyuan-liu/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4846](https://md.research.elamur.ai/free/en/paper-stars/page/49/#star-4846) 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=Zheyuan+Liu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zheyuan+Liu) · [dblp](https://dblp.org/search?q=Zheyuan+Liu) · [ACL Anthology](https://aclanthology.org/search/?q=Zheyuan+Liu) ## Affiliations [🎓**Fuzhou University** Fuzhou · China 2021–2026 · 64 papers*current*](https://ror.org/011xvna82) · [🎓**University of Notre Dame** Notre Dame · United States 2024–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-notre-dame/) · [🔬**China Electric Power Research Institute** Beijing 2023–2026 · 8 papers*current*](https://ror.org/05ehpzy81) · [🎓**Adelaide University** Adelaide · Australia 2026 · 1 paper*current*](https://ror.org/028g18b61) · [🎓**The University of Adelaide** Adelaide · Australia 2026 · 1 paper*current*](https://ror.org/00892tw58) · [🎓**Tianjin University** Tianjin · China 2017–2021 · 19 papers](https://md.research.elamur.ai/free/en/universities/tianjin-university/) · [🔬**Collaborative Innovation Center of Chemical Science and Engineering Tianjin** Tianjin · China 2017–2020 · 12 papers](https://ror.org/0225a5s12) · [🎓**Australian National University** Canberra · Australia 2021–2025 · 9 papers](https://md.research.elamur.ai/free/en/universities/australian-national-university/) · [🎓**Dalian University of Technology** Dalian · China 2018–2023 · 9 papers](https://md.research.elamur.ai/free/en/universities/dalian-university-of-technology/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2017–2024 · 8 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 28 more institutions on single bylines are not listed. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) ## Works by year ### 2020s [**2024** 2 papers Zheyuan Liu's papers of 2024](https://md.research.elamur.ai/free/en/authors/zheyuan-liu/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning](https://md.research.elamur.ai/free/en/papers/tan-2024-democratizing-large-language-models-personalized/)** *(2024 · 83 citations)* Most current approaches to personalizing large language models work by putting user information into the prompt. 2. **[Towards Safer Large Language Models through Machine Unlearning](https://md.research.elamur.ai/free/en/papers/liu-2024-safer-large-language-models-through/)** *(2024 · 71 citations)* Large language models can still give dangerous answers to harmful prompts. Earlier unlearning methods based on gradient ascent suppress such answers but tend to damage replies to ordinary requests. The authors propose Selective Knowledge negation Unlearning (SKU), a two-stage framework that removes harmful knowledge… ## All works 5 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. **[Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning](https://md.research.elamur.ai/free/en/papers/tan-2024-democratizing-large-language-models-personalized/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, et al.*2024 · 83 citations* 2. **[Towards Safer Large Language Models through Machine Unlearning](https://md.research.elamur.ai/free/en/papers/liu-2024-safer-large-language-models-through/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, et al.*2024 · 71 citations* 3. **[Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts ↗](https://aclanthology.org/2024.emnlp-main.371/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Zhaoxuan Tan, Zheyuan Liu, Meng Jiang*2024 · 39 citations* 4. **[Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models ↗](https://aclanthology.org/2025.acl-long.295/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Zheyuan Liu et al.*2025 · 11 citations* 5. **[Instant Personalized Large Language Model Adaptation via Hypernetwork ↗](https://aclanthology.org/2026.acl-long.1081/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Zhaoxuan Tan et al.*2026 · 2 citations* ## Co-authors here 5 co-authors with a page, the most papers together first. - [Meng Jiang](https://md.research.elamur.ai/free/en/authors/meng-jiang/) ×2 - [Yijun Tian](https://md.research.elamur.ai/free/en/authors/yijun-tian/) ×2 - [Zhaoxuan Tan](https://md.research.elamur.ai/free/en/authors/zhaoxuan-tan/) ×2 - [Bing Yin](https://md.research.elamur.ai/free/en/authors/bing-yin/) - [Qingkai Zeng](https://md.research.elamur.ai/free/en/authors/qingkai-zeng/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/) - Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ×2 - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/) ## Cited by Papers of our library cite their works 134 times (of the 141,840 papers whose bibliographies we read); [6 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zheyuan-liu/cited-by/). Updated 24 October 2026