--- title: "Xinshuai Dong — author profile and papers — Elamur Research" description: "Xinshuai Dong, Carnegie Mellon University: 2 papers on Elamur Research (2026), h-index 7 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/xinshuai-dong/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xinshuai-dong/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xinshuai Dong # Xinshuai Dong Xinshuai Dong 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 [Eric P. Xing](https://md.research.elamur.ai/free/en/authors/eric-p-xing/), [Haifeng Chen](https://md.research.elamur.ai/free/en/authors/haifeng-chen/), [Haoyu Wang](https://md.research.elamur.ai/free/en/authors/haoyu-wang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5079198353) · [ORCID](https://orcid.org/0000-0002-8593-0586) · [**h-index 7**](https://openalex.org/authors/A5079198353) · [39 works](https://openalex.org/works?filter=author.id:A5079198353) · [169 citations](https://openalex.org/works?filter=author.id:A5079198353&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xinshuai-dong/#papers) · [🔗 Cited 1 time in our library](https://md.research.elamur.ai/free/en/authors/xinshuai-dong/cited-by/) · [⭐ Paper Stars ranking: #13192](https://md.research.elamur.ai/free/en/paper-stars/page/132/#star-13192) 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=Xinshuai+Dong) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xinshuai+Dong) · [dblp](https://dblp.org/search?q=Xinshuai+Dong) · [ACL Anthology](https://aclanthology.org/search/?q=Xinshuai+Dong) ## Affiliations [🎓**Carnegie Mellon University** Pittsburgh · United States 2022–2026 · 26 papers*current*](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) 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).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [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 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](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/xinshuai-dong/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs](https://md.research.elamur.ai/free/en/papers/liu-2026-representation-interventions-enable-lifelong-knowledge/)** *(2026 · 1 citation)* Once deployed, LLMs cannot easily absorb new or corrected facts. Retraining is expensive. Weight-editing methods tend to collapse as edits pile up, especially with long, free-form knowledge rather than subject–relation–object triples. The authors propose RILKE, which keeps the base model frozen and instead edits… 2. **[Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards](https://md.research.elamur.ai/free/en/papers/xie-2026-advancing-reasoning-diffusion-language-models/)** *(2026)* Masked diffusion language models (MdLLMs) such as LLaDA generate text by gradually unmasking a sequence. Reinforcement learning methods such as diffu-GRPO reward only the correctness of the final answer, so they do not supervise the denoising steps themselves. As a result, models often waste intermediate steps on… ## Co-authors here 9 co-authors with a page, the most papers together first. - [Eric P. Xing](https://md.research.elamur.ai/free/en/authors/eric-p-xing/) - [Haifeng Chen](https://md.research.elamur.ai/free/en/authors/haifeng-chen/) - [Haoyu Wang](https://md.research.elamur.ai/free/en/authors/haoyu-wang/) - [Kun Zhang](https://md.research.elamur.ai/free/en/authors/kun-zhang/) - [Lingjing Kong](https://md.research.elamur.ai/free/en/authors/lingjing-kong/) - [Xiangchen Song](https://md.research.elamur.ai/free/en/authors/xiangchen-song/) - [Xujiang Zhao](https://md.research.elamur.ai/free/en/authors/xujiang-zhao/) - [Yanchi Liu](https://md.research.elamur.ai/free/en/authors/yanchi-liu/) - [Zhengzhang Chen](https://md.research.elamur.ai/free/en/authors/zhengzhang-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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 ## Cited by Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/xinshuai-dong/cited-by/). Updated 2 November 2026