--- title: "Shiyao Li — author profile and papers — Elamur Research" description: "Shiyao Li, The University of Melbourne: 2 papers on Elamur Research (2024), h-index 31 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/shiyao-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shiyao-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shiyao Li # Shiyao Li Shiyao Li has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Guohao Dai](https://md.research.elamur.ai/free/en/authors/guohao-dai/), [Shengen Yan](https://md.research.elamur.ai/free/en/authors/shengen-yan/), [Xuefei Ning](https://md.research.elamur.ai/free/en/authors/xuefei-ning/). 2 papers in our library · 2024 [OpenAlex](https://openalex.org/A5062680766) · [ORCID](https://orcid.org/0000-0002-8053-7005) · [Wikidata](https://www.wikidata.org/wiki/Q99616678) · [**h-index 31**](https://openalex.org/authors/A5062680766) · [128 works](https://openalex.org/works?filter=author.id:A5062680766) · [2,781 citations](https://openalex.org/works?filter=author.id:A5062680766&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/shiyao-li/#papers) · [🔗 Cited 128 times in our library](https://md.research.elamur.ai/free/en/authors/shiyao-li/cited-by/) · [⭐ Paper Stars ranking: #7049](https://md.research.elamur.ai/free/en/paper-stars/page/71/#star-7049) 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=Shiyao+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shiyao+Li) · [dblp](https://dblp.org/search?q=Shiyao+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Shiyao+Li) ## Affiliations [🎓**The University of Melbourne** Melbourne · Australia 2019–2026 · 19 papers*current*](https://md.research.elamur.ai/free/en/universities/the-university-of-melbourne/) · [🎓**RMIT University** Melbourne · Australia 2023–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/universities/rmit-university/) · [🎓**Sichuan University** Chengdu · China 2023–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/universities/sichuan-university/) · [🎓**La Trobe University** Melbourne · Australia 2025–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/la-trobe-university/) · [🤝**Olivia Newton-John Cancer Research Institute** Melbourne · Australia 2025–2026 · 4 papers*current*](https://ror.org/05yncf830) · [🎓**Second Military Medical University** Shanghai · China 2023–2026 · 4 papers*current*](https://ror.org/04tavpn47) · [🎓**Shenzhen University** Shenzhen · China 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/shenzhen-university/) · [🎓**Qufu Normal University** Qufu · China 2024–2026 · 2 papers*current*](https://ror.org/03ceheh96) · [🏛️**State Administration for Market Regulation** Beijing · China 2024–2026 · 2 papers*current*](https://ror.org/00aaqtw69) · [🏥**Eastern Hepatobiliary Surgery Hospital** Shanghai · China 2026 · 1 paper*current*](https://ror.org/043sbvg03) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 43 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 5 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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 3 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/shiyao-li/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[A Survey on Efficient Inference for Large Language Models](https://md.research.elamur.ai/free/en/papers/zhou-2024-survey-efficient-inference-large-language/)** *(2024 · 113 citations)* Running large language models is expensive. They need a lot of computation, memory traffic and storage, which raises latency, lowers throughput and makes deployment difficult on edge devices and costly in the cloud. This survey, by authors from Tsinghua University, Shanghai Jiaotong University and Infinigence-AI… 2. **[LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K](https://md.research.elamur.ai/free/en/papers/yuan-2024-lv-eval-balanced-long-context/)** *(2024 · 41 citations)* Long-context LLMs now advertise input windows of 128k–256k tokens or more. Popular evaluation suites, however, average only about 5k–21k words. They often reuse unmodified public texts that models may have memorized, and they score answers with brittle n-gram metrics. LV-Eval addresses these gaps with a bilingual… ## Co-authors here 8 co-authors with a page, the most papers together first. - [Guohao Dai](https://md.research.elamur.ai/free/en/authors/guohao-dai/) ×2 - [Shengen Yan](https://md.research.elamur.ai/free/en/authors/shengen-yan/) ×2 - [Xuefei Ning](https://md.research.elamur.ai/free/en/authors/xuefei-ning/) ×2 - [Boxun Li](https://md.research.elamur.ai/free/en/authors/boxun-li/) - [Dahua Lin](https://md.research.elamur.ai/free/en/authors/dahua-lin/) - [Jiaming Xu](https://md.research.elamur.ai/free/en/authors/jiaming-xu/) - [Zhihang Yuan](https://md.research.elamur.ai/free/en/authors/zhihang-yuan/) - [Zixuan Zhou](https://md.research.elamur.ai/free/en/authors/zixuan-zhou/) ## Cited by Papers of our library cite their works 128 times (of the 149,439 papers whose bibliographies we read); [29 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shiyao-li/cited-by/). Updated 2 November 2026