--- title: "Jun Huang · Alibaba Group — author profile and papers" description: "Jun Huang, Alibaba Group: 3 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/jun-huang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jun-huang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jun Huang # Jun Huang Jun Huang has 3 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Chengyu Wang](https://md.research.elamur.ai/free/en/authors/chengyu-wang/), [Yuanjie Lyu](https://md.research.elamur.ai/free/en/authors/yuanjie-lyu/), [Biao Wu](https://md.research.elamur.ai/free/en/authors/biao-wu/). 3 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139769583) · [**h-index 1**](https://openalex.org/authors/A5139769583) · [3 works](https://openalex.org/works?filter=author.id:A5139769583) · [4 citations](https://openalex.org/works?filter=author.id:A5139769583&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/jun-huang/#papers) · [🔗 Cited 1 time in our library](https://md.research.elamur.ai/free/en/authors/jun-huang/cited-by/) · [⭐ Paper Stars ranking: #10494](https://md.research.elamur.ai/free/en/paper-stars/page/105/#star-10494) 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=Jun+Huang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jun+Huang) · [dblp](https://dblp.org/search?q=Jun+Huang) · [ACL Anthology](https://aclanthology.org/search/?q=Jun+Huang) ## Affiliations [🏢**Alibaba Group** Hangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## 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 · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 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 [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/jun-huang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Infinity-Parser: Layout-Aware Reinforcement Learning with High-quality Document Parsing Dataset](https://md.research.elamur.ai/free/en/papers/wang-2026-infinity-parser-layout-aware-reinforcement/)** *(2026 · 4 citations)* Converting scanned pages into structured Markdown is difficult. Pages mix paragraphs, tables, formulas and figures, and a parser must recover both the content and its layout and reading order. The authors identify two obstacles: there is little training data with precise, layout-aware annotation, and supervised… 2. **[Mock Worlds, Real Skills: Building Small Agentic Language Models with Synthetic Tasks, Simulated Environments, and Rubric-Based Rewards](https://md.research.elamur.ai/free/en/papers/lyu-2026-mock-worlds-real-skills-building/)** *(2026 · 1 citation)* Small language models usually lag well behind large, expensive LLMs on agentic tool-use tasks. Reinforcement learning could help, but two obstacles hold it back. Public agentic datasets are narrow and often too easy, so RL rollouts give little learning signal. Real APIs are also costly, unstable and limited in scope.… 3. **[AgenticQwen: Training Small Agentic Language Models with Dual Data Flywheels for Industrial-Scale Tool Use](https://md.research.elamur.ai/free/en/papers/lyu-2026-agenticqwen-training-small-agentic-language/)** *(2026)* Industrial agent systems often run on large proprietary or open models, which costs too much at scale. Major labs rarely release small models with strong tool-use skills. This Alibaba paper presents AgenticQwen, a family of compact agents that use small Qwen models as their foundation. Their training relies on… ## Co-authors here 12 co-authors with a page, the most papers together first. - [Chengyu Wang](https://md.research.elamur.ai/free/en/authors/chengyu-wang/) ×2 - [Yuanjie Lyu](https://md.research.elamur.ai/free/en/authors/yuanjie-lyu/) ×2 - [Biao Wu](https://md.research.elamur.ai/free/en/authors/biao-wu/) - [Haozhe Wang](https://md.research.elamur.ai/free/en/authors/haozhe-wang/) - [Lei Shen](https://md.research.elamur.ai/free/en/authors/lei-shen/) - [Ling Chen](https://md.research.elamur.ai/free/en/authors/ling-chen/) - [Meng Fang](https://md.research.elamur.ai/free/en/authors/meng-fang/) - [Ming Wang](https://md.research.elamur.ai/free/en/authors/ming-wang/) - [Tong Xu](https://md.research.elamur.ai/free/en/authors/tong-xu/) - [Wei Chu](https://md.research.elamur.ai/free/en/authors/wei-chu/) - [Yuan Qi](https://md.research.elamur.ai/free/en/authors/yuan-qi/) - [Yuanhao Yue](https://md.research.elamur.ai/free/en/authors/yuanhao-yue/) ## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×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 1 time (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/jun-huang/cited-by/). Updated 1 November 2026