--- title: "Enyan Dai — author profile and papers — Elamur Research" description: "Enyan Dai, The Hong Kong University of Science and Technology (Guangzhou): 2 papers on Elamur Research (2026), h-index 14…" canonical: "https://research.elamur.ai/free/en/authors/enyan-dai/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/enyan-dai/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Enyan Dai # Enyan Dai Enyan Dai 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 [Haochun Tang](https://md.research.elamur.ai/free/en/authors/haochun-tang/), [Yuliang Yan](https://md.research.elamur.ai/free/en/authors/yuliang-yan/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5091395218) · [ORCID](https://orcid.org/0000-0001-9715-0280) · [Wikidata](https://www.wikidata.org/wiki/Q130924545) · [**h-index 14**](https://openalex.org/authors/A5091395218) · [50 works](https://openalex.org/works?filter=author.id:A5091395218) · [1,306 citations](https://openalex.org/works?filter=author.id:A5091395218&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/enyan-dai/#papers) · [🔗 Cited 1 time in our library](https://md.research.elamur.ai/free/en/authors/enyan-dai/cited-by/) · [⭐ Paper Stars ranking: #12489](https://md.research.elamur.ai/free/en/paper-stars/page/125/#star-12489) 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=Enyan+Dai) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Enyan+Dai) · [dblp](https://dblp.org/search?q=Enyan+Dai) · [ACL Anthology](https://aclanthology.org/search/?q=Enyan+Dai) ## Affiliations [🎓**The Hong Kong University of Science and Technology (Guangzhou)** Guangzhou · China 2024–2026 · 21 papers*current*](https://md.research.elamur.ai/free/en/universities/the-hong-kong-university-of-science-and-technology-guangzhou/) · [🎓**Pennsylvania State University** State College · United States 2019–2025 · 32 papers](https://md.research.elamur.ai/free/en/universities/pennsylvania-state-university/) 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 3 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/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) 🧭 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/enyan-dai/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[DuFFin: A Dual-Level Fingerprinting Framework for LLMs IP Protection](https://md.research.elamur.ai/free/en/papers/yan-2026-duffin-dual-level-fingerprinting-framework/)** *(2026 · 2 citations)* The paper tackles ownership verification for large language models: deciding whether a suspect model was derived from a protected one when the investigator can only query it through outputs. 2. **[Route to Rome Attack: Directing LLM Routers to Expensive Models via Adversarial Suffix Optimization](https://md.research.elamur.ai/free/en/papers/tang-2026-route-rome-attack-directing-llm/)** *(2026)* Cost-aware LLM routers send easy queries to cheap models and hard ones to expensive models. This opens an attack surface: an adversary could push the router toward costly models on every request. Earlier attacks needed white-box access (gradients or a known architecture) or relied on handcrafted prompt templates.… ## Co-authors here 2 co-authors with a page, the most papers together first. - [Haochun Tang](https://md.research.elamur.ai/free/en/authors/haochun-tang/) ×2 - [Yuliang Yan](https://md.research.elamur.ai/free/en/authors/yuliang-yan/) ×2 ## 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/) ## Cited by Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/enyan-dai/cited-by/). Updated 1 November 2026