--- title: "Jiayi Li — author profile and papers — Elamur Research" description: "Jiayi Li, Chongqing University of Posts and Telecommunications: 2 papers on Elamur Research (2024–2026), h-index 15 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/jiayi-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jiayi-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jiayi Li # Jiayi Li Jiayi Li has 2 papers in our library, in 2024–2026, most of them on [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/); often with [Biyuan Lin](https://md.research.elamur.ai/free/en/authors/biyuan-lin/), [MiniCPM Team](https://md.research.elamur.ai/free/en/authors/minicpm-team/), [Tianle Gu](https://md.research.elamur.ai/free/en/authors/tianle-gu/). 2 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5100446472) · [ORCID](https://orcid.org/0000-0001-9416-5575) · [**h-index 15**](https://openalex.org/authors/A5100446472) · [80 works](https://openalex.org/works?filter=author.id:A5100446472) · [570 citations](https://openalex.org/works?filter=author.id:A5100446472&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jiayi-li/#papers) · [🔗 Cited 18 times in our library](https://md.research.elamur.ai/free/en/authors/jiayi-li/cited-by/) · [⭐ Paper Stars ranking: #10633](https://md.research.elamur.ai/free/en/paper-stars/page/107/#star-10633) 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=Jiayi+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jiayi+Li) · [dblp](https://dblp.org/search?q=Jiayi+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Jiayi+Li) ## Affiliations [🎓**University of Toyama** Toyama · Japan 2021–2026 · 28 papers*current*](https://ror.org/0445phv87) · [🎓**Wuhan University** Wuhan · China 2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/wuhan-university/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2019–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**Chongqing University of Posts and Telecommunications** Chongqing · China 2024–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/chongqing-university-of-posts-and-telecommunications/) · [🎓**Lancaster University** Lancaster · United Kingdom 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/lancaster-university/) · [🎓**Beijing Normal University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/beijing-normal-university/) · [🔬**Institute of Semiconductors** Beijing · China 2026 · 1 paper*current*](https://ror.org/048dd0611) · [🎓**University of International Business and Economics** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-international-business-and-economics/) · [🎓**University of Science and Technology of China** Hefei · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🎓**Southwest University** Chongqing · China 2010–2025 · 6 papers](https://md.research.elamur.ai/free/en/universities/southwest-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 18 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 6 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 1 Research subjects and languages the work is about.[Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/jiayi-li/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/jiayi-li/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion](https://md.research.elamur.ai/free/en/papers/luo-2024-chain-history-learning-forecasting-llms/)** *(2024 · 25 citations)* The paper addresses extrapolative Temporal Knowledge Graph Completion (TKGC). Given time-stamped quadruples observed up to some point, the goal is to predict the missing entity in events at later timestamps. Earlier approaches based on GNNs, rules or reinforcement learning make little use of textual information and… 2. **[MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context Modeling](https://md.research.elamur.ai/free/en/papers/minicpm-team-2026-minicpm-sala-hybridizing-sparse/)** *(2026 · 2 citations)* Full attention in Transformers is costly for very long inputs. Compute grows quadratically with length, and the KV-Cache can reach tens or hundreds of gigabytes at million-token scale. Sparse attention cuts computation but still keeps the whole cache. Linear attention is cheap but compresses context lossily and loses… ## Co-authors here 9 co-authors with a page, the most papers together first. - [Biyuan Lin](https://md.research.elamur.ai/free/en/authors/biyuan-lin/) - [MiniCPM Team](https://md.research.elamur.ai/free/en/authors/minicpm-team/) - [Tianle Gu](https://md.research.elamur.ai/free/en/authors/tianle-gu/) - [Xin Li](https://md.research.elamur.ai/free/en/authors/xin-li/) - [Yewei Fang](https://md.research.elamur.ai/free/en/authors/yewei-fang/) - [Yingfa Chen](https://md.research.elamur.ai/free/en/authors/yingfa-chen/) - [Yishan Li](https://md.research.elamur.ai/free/en/authors/yishan-li/) - [Yujiu Yang](https://md.research.elamur.ai/free/en/authors/yujiu-yang/) - [Yuxuan Li](https://md.research.elamur.ai/free/en/authors/yuxuan-li/) ## Cited by Papers of our library cite their works 18 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jiayi-li/cited-by/). Updated 3 November 2026