--- title: "Miao Peng — author profile and papers — Elamur Research" description: "Miao Peng, Tencent: 2 papers on Elamur Research (2025–2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/miao-peng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/miao-peng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Miao Peng # Miao Peng Miao Peng has 2 papers in our library, in 2025–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Chenliang Li](https://md.research.elamur.ai/free/en/authors/chenliang-li/), [Weizhou Shen](https://md.research.elamur.ai/free/en/authors/weizhou-shen/), [Bo Zhang](https://md.research.elamur.ai/free/en/authors/bo-zhang/). 2 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5144405118) · [**h-index 1**](https://openalex.org/authors/A5144405118) · [7 works](https://openalex.org/works?filter=author.id:A5144405118) · [1 citations](https://openalex.org/works?filter=author.id:A5144405118&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/miao-peng/#papers) · [🔗 Cited 12 times in our library](https://md.research.elamur.ai/free/en/authors/miao-peng/cited-by/) · [⭐ Paper Stars ranking: #9628](https://md.research.elamur.ai/free/en/paper-stars/page/97/#star-9628) 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=Miao+Peng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Miao+Peng) · [dblp](https://dblp.org/search?q=Miao+Peng) · [ACL Anthology](https://aclanthology.org/search/?q=Miao+Peng) ## Affiliations [🎓**The Hong Kong University of Science and Technology (Guangzhou)** Guangzhou · China 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/the-hong-kong-university-of-science-and-technology-guangzhou/) · [🏢**Tencent** Shenzhen · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/tencent/) 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 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/) · [Language and Linguistics · 2 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/) 🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/miao-peng/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/miao-peng/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[QwenLong-L1.5: Post-Training Recipe for Long-Context Reasoning and Memory Management](https://md.research.elamur.ai/free/en/papers/shen-2025-qwenlong-l1-5-post/)** *(2025 · 10 citations)* Research on long contexts has mostly targeted pre-training and architecture, so post-training lags behind. 2. **[Incentivizing In-depth Reasoning over Long Contexts with Process Advantage Shaping](https://md.research.elamur.ai/free/en/papers/peng-2026-incentivizing-depth-reasoning-over-long/)** *(2026 · 3 citations)* Reinforcement learning with verifiable rewards (RLVR) boosts LLM reasoning on short inputs but works poorly on long documents. ## Co-authors here 12 co-authors with a page, the most papers together first. - [Chenliang Li](https://md.research.elamur.ai/free/en/authors/chenliang-li/) ×2 - [Weizhou Shen](https://md.research.elamur.ai/free/en/authors/weizhou-shen/) ×2 - [Bo Zhang](https://md.research.elamur.ai/free/en/authors/bo-zhang/) - [Dayiheng Liu](https://md.research.elamur.ai/free/en/authors/dayiheng-liu/) - [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/) - [Huashan Sun](https://md.research.elamur.ai/free/en/authors/huashan-sun/) - [Jia Li](https://md.research.elamur.ai/free/en/authors/jia-li/) - [Ming Yan](https://md.research.elamur.ai/free/en/authors/ming-yan/) - [Nuo Chen](https://md.research.elamur.ai/free/en/authors/nuo-chen/) - [Shengyi Liao](https://md.research.elamur.ai/free/en/authors/shengyi-liao/) - [Yingcheng Shi](https://md.research.elamur.ai/free/en/authors/yingcheng-shi/) - [Ziyi Yang](https://md.research.elamur.ai/free/en/authors/ziyi-yang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [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 12 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/miao-peng/cited-by/). Updated 31 October 2026