--- title: "Tianjun Wei — author profile and papers — Elamur Research" description: "Tianjun Wei, Nanyang Technological University: 2 papers on Elamur Research (2026), h-index 5 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/tianjun-wei/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/tianjun-wei/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Tianjun Wei # Tianjun Wei Tianjun Wei 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 [Jie Zhang](https://md.research.elamur.ai/free/en/authors/jie-zhang/), [Yingpeng Du](https://md.research.elamur.ai/free/en/authors/yingpeng-du/), [Zhu Sun](https://md.research.elamur.ai/free/en/authors/zhu-sun/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5071769223) · [ORCID](https://orcid.org/0000-0001-7311-7101) · [Wikidata](https://www.wikidata.org/wiki/Q130836028) · [**h-index 5**](https://openalex.org/authors/A5071769223) · [26 works](https://openalex.org/works?filter=author.id:A5071769223) · [92 citations](https://openalex.org/works?filter=author.id:A5071769223&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/tianjun-wei/#papers) · [🔗 Cited 1 time in our library](https://md.research.elamur.ai/free/en/authors/tianjun-wei/cited-by/) · [⭐ Paper Stars ranking: #11705](https://md.research.elamur.ai/free/en/paper-stars/page/118/#star-11705) 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=Tianjun+Wei) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tianjun+Wei) · [dblp](https://dblp.org/search?q=Tianjun+Wei) · [ACL Anthology](https://aclanthology.org/search/?q=Tianjun+Wei) ## Affiliations [🎓**Nanyang Technological University** Singapore · Singapore 2025–2026 · 17 papers*current*](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/) · [🎓**City University of Hong Kong** Hong Kong · China 2022–2024 · 6 papers](https://md.research.elamur.ai/free/en/universities/city-university-of-hong-kong/) 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 4 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Decision Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Management Science and Operations Research · 2 works](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) 🧭 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/tianjun-wei/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation](https://md.research.elamur.ai/free/en/papers/wei-2026-mirroring-users-building-preference-aligned/)** *(2026 · 1 citation)* Recommender systems need realistic user simulators for offline evaluation, because online A/B tests are slow and raise privacy issues. 2. **[Adaptive and Representative Multi-Interest Modeling for Recommendation with Large Language Model](https://md.research.elamur.ai/free/en/papers/wang-2026-adaptive-representative-multi-interest-modeling/)** *(2026)* Multi-interest recommenders give each user several representation vectors. Most of them group items with heuristics such as embedding similarity or co-occurrence, and these heuristics break down when interactions are sparse or side information is incomplete. The authors propose LARMI, a framework in which an LLM… ## Co-authors here 4 co-authors with a page, the most papers together first. - [Jie Zhang](https://md.research.elamur.ai/free/en/authors/jie-zhang/) ×2 - [Yingpeng Du](https://md.research.elamur.ai/free/en/authors/yingpeng-du/) ×2 - [Zhu Sun](https://md.research.elamur.ai/free/en/authors/zhu-sun/) ×2 - [Ziyan Wang](https://md.research.elamur.ai/free/en/authors/ziyan-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/) ## 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/tianjun-wei/cited-by/). Updated 1 November 2026