--- title: "Cheng Yu · Alibaba Group — author profile and papers" description: "Cheng Yu, Alibaba Group: 2 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/cheng-yu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/cheng-yu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Cheng Yu # Cheng Yu Cheng Yu has 2 papers in our library, in 2026, most of them on [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/), [Jun Song](https://md.research.elamur.ai/free/en/authors/jun-song/), [Junpeng Ma](https://md.research.elamur.ai/free/en/authors/junpeng-ma/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139750939) · [**h-index 1**](https://openalex.org/authors/A5139750939) · [4 works](https://openalex.org/works?filter=author.id:A5139750939) · [2 citations](https://openalex.org/works?filter=author.id:A5139750939&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/cheng-yu/#papers) · [⭐ Paper Stars ranking: #10889](https://md.research.elamur.ai/free/en/paper-stars/page/109/#star-10889) 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=Cheng+Yu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Cheng+Yu) · [dblp](https://dblp.org/search?q=Cheng+Yu) · [ACL Anthology](https://aclanthology.org/search/?q=Cheng+Yu) ## Affiliations [🏢**Alibaba Group** Hangzhou · China 2026 · 3 papers*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 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/cheng-yu/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Unified Thinker: A General Reasoning Core for Image Generation](https://md.research.elamur.ai/free/en/papers/zhou-2026-unified-thinker-general-reasoning-core/)** *(2026 · 3 citations)* Open-source image generators and editors still struggle with instructions that require real reasoning, such as solving a puzzle or inferring an implicit intent. 2. **[E-ABSA20K: A Dataset and Propose-and-Verify for Aspect-Based Sentiment Analysis in Long E-commerce Reviews](https://md.research.elamur.ai/free/en/papers/sun-2026-e-absa20k-dataset-propose-verify/)** *(2026)* Most ABSA benchmarks consist of short texts from a few domains. Real e-commerce reviews are longer, mention many aspects at once, use informal language, and spread evidence across sentences. To address this gap, the authors built E-ABSA20K: 20,000 English reviews (about 0.8% code-mixed) from a Southeast Asian… ## Co-authors here 7 co-authors with a page, the most papers together first. - [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/) - [Jun Song](https://md.research.elamur.ai/free/en/authors/jun-song/) - [Junpeng Ma](https://md.research.elamur.ai/free/en/authors/junpeng-ma/) - [Qiang Zhou](https://md.research.elamur.ai/free/en/authors/qiang-zhou/) - [Tiezheng Ge](https://md.research.elamur.ai/free/en/authors/tiezheng-ge/) - [Yue Cao](https://md.research.elamur.ai/free/en/authors/yue-cao/) - [Zhou Zhao](https://md.research.elamur.ai/free/en/authors/zhou-zhao/) ## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [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/) Updated 1 November 2026