--- title: "Yi Fang — author profile and papers — Elamur Research" description: "Yi Fang: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/yi-fang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yi-fang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yi Fang # Yi Fang Yi Fang has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Boyi Deng](https://md.research.elamur.ai/free/en/authors/boyi-deng/), [Chenyang Shao](https://md.research.elamur.ai/free/en/authors/chenyang-shao/), [Dayiheng Liu](https://md.research.elamur.ai/free/en/authors/dayiheng-liu/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5133225620) · [**h-index 0**](https://openalex.org/authors/A5133225620) · [4 works](https://openalex.org/works?filter=author.id:A5133225620) · [0 citations](https://openalex.org/works?filter=author.id:A5133225620&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yi-fang/#papers) · [🔗 Cited 8 times in our library](https://md.research.elamur.ai/free/en/authors/yi-fang/cited-by/) · [⭐ Paper Stars ranking: #10206](https://md.research.elamur.ai/free/en/paper-stars/page/103/#star-10206) 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=Yi+Fang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yi+Fang) · [dblp](https://dblp.org/search?q=Yi+Fang) · [ACL Anthology](https://aclanthology.org/search/?q=Yi+Fang) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[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/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Information Systems and Management · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yi-fang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery](https://md.research.elamur.ai/free/en/papers/li-2026-autosota-end-end-automated-research/)** *(2026 · 5 citations)* Pushing a published AI method beyond its reported results usually takes months of manual work. Researchers must find the code and data, get the repository running, reproduce the baseline, and only then try improvements. AutoSOTA automates this entire chain, starting from a paper and ending with an improved, runnable… 2. **[Controllable LLM Reasoning via Sparse Autoencoder-Based Steering](https://md.research.elamur.ai/free/en/papers/fang-2026-controllable-llm-reasoning-sparse-autoencoder/)** *(2026 · 3 citations)* Large Reasoning Models (LRMs) choose their own reasoning moves, such as re-checking or backtracking, and these choices can lead to wasted effort or wrong answers. ## Co-authors here 9 co-authors with a page, the most papers together first. - [Boyi Deng](https://md.research.elamur.ai/free/en/authors/boyi-deng/) - [Chenyang Shao](https://md.research.elamur.ai/free/en/authors/chenyang-shao/) - [Dayiheng Liu](https://md.research.elamur.ai/free/en/authors/dayiheng-liu/) - [Fengli Xu](https://md.research.elamur.ai/free/en/authors/fengli-xu/) - [Fuli Feng](https://md.research.elamur.ai/free/en/authors/fuli-feng/) - [Mingfeng Xue](https://md.research.elamur.ai/free/en/authors/mingfeng-xue/) - [Wenjie Wang](https://md.research.elamur.ai/free/en/authors/wenjie-wang/) - [Yu Li](https://md.research.elamur.ai/free/en/authors/yu-li/) - [Zhibin Chen](https://md.research.elamur.ai/free/en/authors/zhibin-chen/) ## 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 8 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/yi-fang/cited-by/). Updated 31 October 2026