--- title: "Yiran Zhong · Alibaba Group — author profile and papers" description: "Yiran Zhong, Alibaba Group: 3 papers on Elamur Research (2022–2024), h-index 25 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/yiran-zhong/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yiran-zhong/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yiran Zhong # Yiran Zhong Yiran Zhong has 3 papers in our library, in 2022–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Weixuan Sun](https://md.research.elamur.ai/free/en/authors/weixuan-sun/), [Zhen Qin](https://md.research.elamur.ai/free/en/authors/zhen-qin/), [Dong Li](https://md.research.elamur.ai/free/en/authors/dong-li/). 3 papers in our library · 2022–2024 [OpenAlex](https://openalex.org/A5066621365) · [ORCID](https://orcid.org/0000-0003-1404-3610) · [Wikidata](https://www.wikidata.org/wiki/Q131165077) · [**h-index 25**](https://openalex.org/authors/A5066621365) · [92 works](https://openalex.org/works?filter=author.id:A5066621365) · [2,513 citations](https://openalex.org/works?filter=author.id:A5066621365&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yiran-zhong/#papers) · [🔗 Cited 221 times in our library](https://md.research.elamur.ai/free/en/authors/yiran-zhong/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6426](https://md.research.elamur.ai/free/en/paper-stars/page/65/#star-6426) 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=Yiran+Zhong) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yiran+Zhong) · [dblp](https://dblp.org/search?q=Yiran+Zhong) · [ACL Anthology](https://aclanthology.org/search/?q=Yiran+Zhong) ## Affiliations [🏢**Alibaba Group** Hangzhou · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2022–2025 · 27 papers](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) · [🎓**Australian National University** Canberra · Australia 2014–2021 · 17 papersEducation](https://md.research.elamur.ai/free/en/universities/australian-national-university/) · [🏢**Sensetime** Beijing · China 2021–2022 · 9 papers](https://md.research.elamur.ai/free/en/companies/sensetime/) · [🏛️**Commonwealth Scientific and Industrial Research Organisation** Canberra · Australia 2018–2019 · 5 papers](https://md.research.elamur.ai/free/en/government/commonwealth-scientific-and-industrial-research-organisation/) · [🔬**Data61** Sydney · Australia 2018–2019 · 4 papers](https://md.research.elamur.ai/free/en/labs/data61/) · [🎓**China University of Mining and Technology** Xuzhou · China 2024 · 2 papers](https://ror.org/01xt2dr21) · [🔬**Australian Centre for Robotic Vision** Brisbane · Australia 2018 · 2 papers](https://ror.org/02zv9xv82) 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. ## 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yiran-zhong/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yiran-zhong/year/2023/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/yiran-zhong/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[The Devil in Linear Transformer](https://md.research.elamur.ai/free/en/papers/qin-2022-devil-linear-transformer/)** *(2022 · 67 citations)* Kernel-based linear transformers reduce attention cost from quadratic to linear in sequence length, but they usually lose accuracy compared with the standard softmax transformer. 2. **[TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormer](https://md.research.elamur.ai/free/en/papers/qin-2023-transnormerllm-faster-better-large/)** *(2023 · 33 citations)* Linear attention promises to remove the quadratic cost of softmax attention. In practice, earlier linear-attention models have trailed Transformers in language-modeling quality and rarely ran faster on real hardware. The authors close this gap with TransNormerLLM, a redesigned version of their TransNormer… 3. **[Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models](https://md.research.elamur.ai/free/en/papers/qin-2024-lightning-attention-2-free/)** *(2024 · 31 citations)* Linear attention should cost O(n) instead of the O(n²) of softmax attention. In causal language modeling, however, existing implementations lose this advantage: the kernel trick needs a cumulative summation (cumsum) that parallelizes poorly on GPUs. Lightning Attention-1 had already reduced the memory-I/O bottleneck… ## All works 4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[The Devil in Linear Transformer](https://md.research.elamur.ai/free/en/papers/qin-2022-devil-linear-transformer/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhen Qin, Xiaodong Han, Weixuan Sun, et al.*2022 · 67 citations* 2. [**TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormer arXiv:2307.14995**Zhen Qin, Dong Li, Weigao Sun, et al.*2023 · 33 citations*](https://md.research.elamur.ai/free/en/papers/qin-2023-transnormerllm-faster-better-large/) 3. [**Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models arXiv:2401.04658**Zhen Qin, Weigao Sun, Dong Li, et al.*2024 · 31 citations*](https://md.research.elamur.ai/free/en/papers/qin-2024-lightning-attention-2-free/) 4. **[Linear Attention Sequence Parallelism ↗](https://arxiv.org/abs/2404.02882) arXiv:2404.02882 · no summary yet**Weigao Sun et al.*2024 · 12 citations* ## Co-authors here 11 co-authors with a page, the most papers together first. - [Weixuan Sun](https://md.research.elamur.ai/free/en/authors/weixuan-sun/) ×3 - [Zhen Qin](https://md.research.elamur.ai/free/en/authors/zhen-qin/) ×3 - [Dong Li](https://md.research.elamur.ai/free/en/authors/dong-li/) ×2 - [Weigao Sun](https://md.research.elamur.ai/free/en/authors/weigao-sun/) ×2 - [Xiaodong Han](https://md.research.elamur.ai/free/en/authors/xiaodong-han/) ×2 - [Xuyang Shen](https://md.research.elamur.ai/free/en/authors/xuyang-shen/) ×2 - [Dongxu Li](https://md.research.elamur.ai/free/en/authors/dongxu-li/) - [Lingpeng Kong](https://md.research.elamur.ai/free/en/authors/lingpeng-kong/) - [Nick M. Barnes](https://md.research.elamur.ai/free/en/authors/nick-m-barnes/) - [Xiao Luo](https://md.research.elamur.ai/free/en/authors/xiao-luo/) - [Yu Qiao](https://md.research.elamur.ai/free/en/authors/yu-qiao/) ## 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 2022](https://md.research.elamur.ai/free/en/venues/emnlp/2022/) ## Cited by Papers of our library cite their works 221 times (of the 149,439 papers whose bibliographies we read); [47 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yiran-zhong/cited-by/). Updated 30 October 2026