--- title: "Yingcheng Shi · Alibaba Group — author profile and papers" description: "Yingcheng Shi, Alibaba Group: 2 papers on Elamur Research (2025), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/yingcheng-shi/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yingcheng-shi/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yingcheng Shi # Yingcheng Shi Yingcheng Shi has 2 papers in our library, in 2025, 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/), [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/), [Shengyi Liao](https://md.research.elamur.ai/free/en/authors/shengyi-liao/). 2 papers in our library · 2025 [OpenAlex](https://openalex.org/A5123604350) · [**h-index 0**](https://openalex.org/authors/A5123604350) · [7 works](https://openalex.org/works?filter=author.id:A5123604350) · [0 citations](https://openalex.org/works?filter=author.id:A5123604350&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yingcheng-shi/#papers) · [🔗 Cited 23 times in our library](https://md.research.elamur.ai/free/en/authors/yingcheng-shi/cited-by/) · [⭐ Paper Stars ranking: #10106](https://md.research.elamur.ai/free/en/paper-stars/page/102/#star-10106) 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=Yingcheng+Shi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yingcheng+Shi) · [dblp](https://dblp.org/search?q=Yingcheng+Shi) · [ACL Anthology](https://aclanthology.org/search/?q=Yingcheng+Shi) ## Affiliations [🏢**Alibaba Group** Hangzhou · China 2025–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🏢**Alibaba Group** George Town · Cayman Islands 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group-cayman-islands/) 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/) · [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 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 [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/yingcheng-shi/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wan-2025-qwenlong-l1-long-context/)** *(2025 · 13 citations)* Reinforcement learning has made large reasoning models (LRMs) much better at problems with short inputs. It is still unclear how to train them to reason over very long documents, potentially around 120K tokens. The authors frame this as "long-context reasoning RL," where the model must first find and ground the… 2. **[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. ## Co-authors here 12 of 13 co-authors with a page, the most papers together first. - [Chenliang Li](https://md.research.elamur.ai/free/en/authors/chenliang-li/) ×2 - [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/) ×2 - [Shengyi Liao](https://md.research.elamur.ai/free/en/authors/shengyi-liao/) ×2 - [Weizhou Shen](https://md.research.elamur.ai/free/en/authors/weizhou-shen/) ×2 - [Ziyi Yang](https://md.research.elamur.ai/free/en/authors/ziyi-yang/) ×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/) - [Fanqi Wan](https://md.research.elamur.ai/free/en/authors/fanqi-wan/) - [Huashan Sun](https://md.research.elamur.ai/free/en/authors/huashan-sun/) - [Ji Zhang](https://md.research.elamur.ai/free/en/authors/ji-zhang/) - [Jingren Zhou](https://md.research.elamur.ai/free/en/authors/jingren-zhou/) - [Miao Peng](https://md.research.elamur.ai/free/en/authors/miao-peng/) ## Cited by Papers of our library cite their works 23 times (of the 149,439 papers whose bibliographies we read); [8 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yingcheng-shi/cited-by/). Updated 31 October 2026