--- title: "Xianzhen Luo — author profile and papers — Elamur Research" description: "Xianzhen Luo, Chinese Academy of Sciences: 4 papers on Elamur Research (2025–2026), h-index 19 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/xianzhen-luo/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xianzhen-luo/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xianzhen Luo # Xianzhen Luo Xianzhen Luo has 4 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Qingfu Zhu](https://md.research.elamur.ai/free/en/authors/qingfu-zhu/), [Binhua Li](https://md.research.elamur.ai/free/en/authors/binhua-li/), [Chi Chen](https://md.research.elamur.ai/free/en/authors/chi-chen/). 4 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5001491548) · [ORCID](https://orcid.org/0000-0002-6629-9063) · [Wikidata](https://www.wikidata.org/wiki/Q92719340) · [**h-index 19**](https://openalex.org/authors/A5001491548) · [64 works](https://openalex.org/works?filter=author.id:A5001491548) · [1,885 citations](https://openalex.org/works?filter=author.id:A5001491548&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/xianzhen-luo/#papers) · [🔗 Cited 110 times in our library](https://md.research.elamur.ai/free/en/authors/xianzhen-luo/cited-by/) · [⭐ Paper Stars ranking: #7822](https://md.research.elamur.ai/free/en/paper-stars/page/79/#star-7822) 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=Xianzhen+Luo) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xianzhen+Luo) · [dblp](https://dblp.org/search?q=Xianzhen+Luo) · [ACL Anthology](https://aclanthology.org/search/?q=Xianzhen+Luo) ## Affiliations [🔬**South China Botanical Garden** Guangzhou · China 2019–2026 · 40 papers*current*](https://ror.org/01xqdxh54) · [🏛️**Chinese Academy of Sciences** Beijing · China 2019–2026 · 38 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**Harbin Institute of Technology** Harbin · China 2022–2026 · 14 papers*current*](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2019–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🔬**Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)** Guangzhou · China 2020–2022 · 8 papers](https://ror.org/00y7mag53) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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 · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 2 works](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 · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Scaling laws · 1 work](https://md.research.elamur.ai/free/en/concepts/scaling-laws/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/xianzhen-luo/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/xianzhen-luo/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation](https://md.research.elamur.ai/free/en/papers/zhao-2025-chartcoder-advancing-multimodal-large-language/)** *(2025 · 24 citations)* Open-source multimodal LLMs read charts reasonably well, but they struggle to turn a chart image into plotting code. Their output often fails to run, picks the wrong chart type, or loses details such as axis sizes. The authors argue that code is a lossless description of a chart, unlike textual summaries. 2. **[Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling](https://md.research.elamur.ai/free/en/papers/luo-2025-turning-trash-into-treasure-accelerating/)** *(2025 · 22 citations)* LLM inference is slow because autoregressive decoding emits one token per step, and each step is dominated by memory transfer of billions of weights. 3. **[Scaling Laws for Code: A More Data-Hungry Regime](https://md.research.elamur.ai/free/en/papers/luo-2026-scaling-laws-code-more-data/)** *(2026 · 3 citations)* Scaling laws, which predict validation loss from model size (N), training tokens (D) and compute (C), have mostly been derived on natural language (NL). 4. **[Format-Adapter: Improving Reasoning Capability of LLMs by Adapting Suitable Format](https://md.research.elamur.ai/free/en/papers/wang-2026-format-adapter-improving-reasoning-capability/)** *(2026)* Parallel test-time scaling (TTS) usually samples many answers using a single reasoning format chosen by a human. ## Co-authors here 12 of 20 co-authors with a page, the most papers together first. - [Qingfu Zhu](https://md.research.elamur.ai/free/en/authors/qingfu-zhu/) ×3 - [Binhua Li](https://md.research.elamur.ai/free/en/authors/binhua-li/) - [Chi Chen](https://md.research.elamur.ai/free/en/authors/chi-chen/) - [Dingzirui Wang](https://md.research.elamur.ai/free/en/authors/dingzirui-wang/) - [Dongliang Xu](https://md.research.elamur.ai/free/en/authors/dongliang-xu/) - [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/) - [Longxu Dou](https://md.research.elamur.ai/free/en/authors/longxu-dou/) - [Maosong Sun](https://md.research.elamur.ai/free/en/authors/maosong-sun/) - [Qing Yang](https://md.research.elamur.ai/free/en/authors/qing-yang/) - [Rongyu Cao](https://md.research.elamur.ai/free/en/authors/rongyu-cao/) - [Shuo Wang](https://md.research.elamur.ai/free/en/authors/shuo-wang/) - [Siming Huang](https://md.research.elamur.ai/free/en/authors/siming-huang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×4: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2 - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 110 times (of the 149,439 papers whose bibliographies we read); [38 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xianzhen-luo/cited-by/). Updated 1 November 2026