--- title: "Shengen Yan · Tsinghua University — author profile and papers" description: "Shengen Yan, Tsinghua University: 2 papers on Elamur Research (2024), h-index 20 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/shengen-yan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shengen-yan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shengen Yan # Shengen Yan Shengen Yan 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/), [Shiyao Li](https://md.research.elamur.ai/free/en/authors/shiyao-li/), [Xuefei Ning](https://md.research.elamur.ai/free/en/authors/xuefei-ning/). 2 papers in our library · 2024 [OpenAlex](https://openalex.org/A5049910854) · [ORCID](https://orcid.org/0009-0005-3858-7972) · [**h-index 20**](https://openalex.org/authors/A5049910854) · [69 works](https://openalex.org/works?filter=author.id:A5049910854) · [2,007 citations](https://openalex.org/works?filter=author.id:A5049910854&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/shengen-yan/#papers) · [🔗 Cited 128 times in our library](https://md.research.elamur.ai/free/en/authors/shengen-yan/cited-by/) · [⭐ Paper Stars ranking: #7048](https://md.research.elamur.ai/free/en/paper-stars/page/71/#star-7048) 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=Shengen+Yan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shengen+Yan) · [dblp](https://dblp.org/search?q=Shengen+Yan) · [ACL Anthology](https://aclanthology.org/search/?q=Shengen+Yan) ## Affiliations [🎓**Tsinghua University** Beijing · China 2024–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🏢**Sensetime** Beijing · China 2017–2023 · 17 papers](https://md.research.elamur.ai/free/en/companies/sensetime/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2012–2014 · 11 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Software** Beijing · China 2012–2014 · 10 papers](https://md.research.elamur.ai/free/en/labs/institute-of-software/) · [🎓**Chinese University of Hong Kong** Hong Kong · China 2016–2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2012–2013 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🎓**Peking University** Beijing · China 2021–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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/shengen-yan/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 - [Shiyao Li](https://md.research.elamur.ai/free/en/authors/shiyao-li/) ×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/shengen-yan/cited-by/). Updated 2 November 2026