--- title: "Yijun Tian — author profile and papers — Elamur Research" description: "Yijun Tian, University of Notre Dame: 3 papers on Elamur Research (2024), h-index 14 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/yijun-tian/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yijun-tian/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yijun Tian # Yijun Tian Yijun Tian has 3 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Meng Jiang](https://md.research.elamur.ai/free/en/authors/meng-jiang/), [Zhaoxuan Tan](https://md.research.elamur.ai/free/en/authors/zhaoxuan-tan/), [Zheyuan Liu](https://md.research.elamur.ai/free/en/authors/zheyuan-liu/). 3 papers in our library · 2024 [OpenAlex](https://openalex.org/A5057838053) · [ORCID](https://orcid.org/0000-0003-2795-6080) · [Wikidata](https://www.wikidata.org/wiki/Q130839478) · [**h-index 14**](https://openalex.org/authors/A5057838053) · [39 works](https://openalex.org/works?filter=author.id:A5057838053) · [505 citations](https://openalex.org/works?filter=author.id:A5057838053&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yijun-tian/#papers) · [🔗 Cited 232 times in our library](https://md.research.elamur.ai/free/en/authors/yijun-tian/cited-by/) · [⭐ Paper Stars ranking: #3803](https://md.research.elamur.ai/free/en/paper-stars/page/39/#star-3803) 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=Yijun+Tian) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yijun+Tian) · [dblp](https://dblp.org/search?q=Yijun+Tian) · [ACL Anthology](https://aclanthology.org/search/?q=Yijun+Tian) ## Affiliations [🎓**University of Notre Dame** Notre Dame · United States 2021–2026 · 26 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-notre-dame/) · [🎓**The University of Queensland** Brisbane · Australia 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/the-university-of-queensland/) · [🎓**New York University** New York · United States 2019–2023 · 3 papers](https://md.research.elamur.ai/free/en/universities/new-york-university/) · [🎓**University of Pennsylvania** Philadelphia · United States 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-pennsylvania/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) ## Works by year ### 2020s [**2024** 3 papers Yijun Tian's papers of 2024](https://md.research.elamur.ai/free/en/authors/yijun-tian/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering](https://md.research.elamur.ai/free/en/papers/he-2024-g-retriever-retrieval-augmented-generation/)** *(2024 · 234 citations)* This work targets question answering over real-world graphs whose nodes and edges carry text. Earlier LLM–GNN combinations mostly handled standard classification or toy queries on small synthetic graphs. The authors assemble a GraphQA benchmark from three sources: ExplaGraphs (commonsense reasoning), SceneGraphs… 2. **[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. 3. **[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… ## Co-authors here 9 co-authors with a page, the most papers together first. - [Meng Jiang](https://md.research.elamur.ai/free/en/authors/meng-jiang/) ×2 - [Zhaoxuan Tan](https://md.research.elamur.ai/free/en/authors/zhaoxuan-tan/) ×2 - [Zheyuan Liu](https://md.research.elamur.ai/free/en/authors/zheyuan-liu/) ×2 - [Bing Yin](https://md.research.elamur.ai/free/en/authors/bing-yin/) - [Bryan Hooi](https://md.research.elamur.ai/free/en/authors/bryan-hooi/) - [Nitesh V. Chawla](https://md.research.elamur.ai/free/en/authors/nitesh-v-chawla/) - [Qingkai Zeng](https://md.research.elamur.ai/free/en/authors/qingkai-zeng/) - [Xavier Bresson](https://md.research.elamur.ai/free/en/authors/xavier-bresson/) - [Yann LeCun](https://md.research.elamur.ai/free/en/authors/yann-lecun/) ## 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/): [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/) - [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/) - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) ## Cited by Papers of our library cite their works 232 times (of the 141,840 papers whose bibliographies we read); [10 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yijun-tian/cited-by/). Updated 24 October 2026