--- title: "Pei Chen · Zhejiang University — author profile and papers" description: "Pei Chen, Zhejiang University: 2 papers on Elamur Research (2026), h-index 8 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/pei-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/pei-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Pei Chen # Pei Chen Pei Chen 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 [Chen Luo](https://md.research.elamur.ai/free/en/authors/chen-luo/), [Fengran Mo](https://md.research.elamur.ai/free/en/authors/fengran-mo/), [Hanqing Lu](https://md.research.elamur.ai/free/en/authors/hanqing-lu/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5058762433) · [ORCID](https://orcid.org/0000-0003-0962-6459) · [**h-index 8**](https://openalex.org/authors/A5058762433) · [30 works](https://openalex.org/works?filter=author.id:A5058762433) · [193 citations](https://openalex.org/works?filter=author.id:A5058762433&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/pei-chen/#papers) · [🔗 Cited 3 times in our library](https://md.research.elamur.ai/free/en/authors/pei-chen/cited-by/) · [⭐ Paper Stars ranking: #10739](https://md.research.elamur.ai/free/en/paper-stars/page/108/#star-10739) 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=Pei+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Pei+Chen) · [dblp](https://dblp.org/search?q=Pei+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Pei+Chen) ## Affiliations [🎓**Zhejiang University** Hangzhou · China 2023–2026 · 29 papers*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 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/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](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/pei-chen/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Instant Personalized Large Language Model Adaptation via Hypernetwork](https://md.research.elamur.ai/free/en/papers/tan-2026-instant-personalized-large-language-model/)** *(2026 · 2 citations)* Tailoring LLMs to individual users with parameter-efficient fine-tuning works well. However, the "One-PEFT-Per-User" (OPPU) approach trains a separate adapter for every person, which is too costly for millions of users or for preferences that change over time. The authors propose Profile-to-PEFT (P2P), which replaces… 2. **[Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents](https://md.research.elamur.ai/free/en/papers/wang-2026-trajectory2task-training-robust-tool-calling/)** *(2026 · 2 citations)* Tool-calling agents used in customer service often meet users whose requests lack key details, shift during the conversation, or break system policy. ## Co-authors here 12 of 20 co-authors with a page, the most papers together first. - [Chen Luo](https://md.research.elamur.ai/free/en/authors/chen-luo/) - [Fengran Mo](https://md.research.elamur.ai/free/en/authors/fengran-mo/) - [Hanqing Lu](https://md.research.elamur.ai/free/en/authors/hanqing-lu/) - [Haoyang Wen](https://md.research.elamur.ai/free/en/authors/haoyang-wen/) - [Jing Huang](https://md.research.elamur.ai/free/en/authors/jing-huang/) - [Jiri Gesi](https://md.research.elamur.ai/free/en/authors/jiri-gesi/) - [Meng Jiang](https://md.research.elamur.ai/free/en/authors/meng-jiang/) - [Qingkai Zeng](https://md.research.elamur.ai/free/en/authors/qingkai-zeng/) - [Qingyu Yin](https://md.research.elamur.ai/free/en/authors/qingyu-yin/) - [Qun Liu](https://md.research.elamur.ai/free/en/authors/qun-liu/) - [Xianfeng Tang](https://md.research.elamur.ai/free/en/authors/xianfeng-tang/) - [Yimeng Zhang](https://md.research.elamur.ai/free/en/authors/yimeng-zhang/) ## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 ## Cited by Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/pei-chen/cited-by/). Updated 1 November 2026