--- title: "Lin Yang — author profile and papers · Sentiment & emotion" description: "Lin Yang: 2 papers on Elamur Research (2019–2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/lin-yang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/lin-yang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Lin Yang # Lin Yang Lin Yang has 2 papers in our library, in 2019–2026, 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/), [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Haihua Yang](https://md.research.elamur.ai/free/en/authors/haihua-yang/), [Xu Wang](https://md.research.elamur.ai/free/en/authors/xu-wang/). 2 papers in our library · 2019–2026 [OpenAlex](https://openalex.org/A5139792028) · [**h-index 0**](https://openalex.org/authors/A5139792028) · [1 works](https://openalex.org/works?filter=author.id:A5139792028) · [0 citations](https://openalex.org/works?filter=author.id:A5139792028&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/lin-yang/#papers) · [🔗 Cited 3 times in our library](https://md.research.elamur.ai/free/en/authors/lin-yang/cited-by/) · [⭐ Paper Stars ranking: #10683](https://md.research.elamur.ai/free/en/paper-stars/page/107/#star-10683) 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=Lin+Yang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Lin+Yang) · [dblp](https://dblp.org/search?q=Lin+Yang) · [ACL Anthology](https://aclanthology.org/search/?q=Lin+Yang) ## 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 3 Research subjects and languages the work is about.[English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/lin-yang/year/2026/) ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/lin-yang/year/2019/) ## Papers The most cited first (OpenAlex and our library). 1. **[Squared English Word: A Method of Generating Glyph to Use Super Characters for Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/sun-2019-squared-english-word-method-generating/)** *(2019 · 15 citations)* Super Characters classifies text by rendering it as an image and passing that image to a 2D-CNN. The method fits scripts such as Chinese, Japanese and Korean, where each character is already a square glyph. English is harder because a word is a run of letters of varying length. This paper introduces SEW (Squared… 2. **[ImpRIF: Stronger Implicit Reasoning Leads to Better Complex Instruction Following](https://md.research.elamur.ai/free/en/papers/yang-2026-imprif-stronger-implicit-reasoning-leads/)** *(2026)* Large language models often fail on instructions whose real requirements are hidden. A constraint may only become concrete after the model recalls a fact, does some arithmetic, or checks a condition, for example a list whose length must match how many brains an octopus has. ImpRIF addresses this gap. The authors… ## Co-authors here 2 co-authors with a page, the most papers together first. - [Haihua Yang](https://md.research.elamur.ai/free/en/authors/haihua-yang/) - [Xu Wang](https://md.research.elamur.ai/free/en/authors/xu-wang/) ## 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/) ## Cited by Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/lin-yang/cited-by/). Updated 2 November 2026