--- title: "Ying Sun — author profile and papers — Elamur Research" description: "Ying Sun, National University of Defense Technology: 3 papers on Elamur Research (2025–2026), h-index 15 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/ying-sun/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ying-sun/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ying Sun # Ying Sun Ying Sun has 3 papers in our library, in 2025–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Jian Wu](https://md.research.elamur.ai/free/en/authors/jian-wu/), [Qi Zhang](https://md.research.elamur.ai/free/en/authors/qi-zhang/), [Wei Chen](https://md.research.elamur.ai/free/en/authors/wei-chen/). 3 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5046835504) · [ORCID](https://orcid.org/0000-0002-4763-6060) · [Wikidata](https://www.wikidata.org/wiki/Q130801797) · [**h-index 15**](https://openalex.org/authors/A5046835504) · [81 works](https://openalex.org/works?filter=author.id:A5046835504) · [786 citations](https://openalex.org/works?filter=author.id:A5046835504&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/ying-sun/#papers) · [🔗 Cited 13 times in our library](https://md.research.elamur.ai/free/en/authors/ying-sun/cited-by/) · [⭐ Paper Stars ranking: #10292](https://md.research.elamur.ai/free/en/paper-stars/page/103/#star-10292) 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=Ying+Sun) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ying+Sun) · [dblp](https://dblp.org/search?q=Ying+Sun) · [ACL Anthology](https://aclanthology.org/search/?q=Ying+Sun) ## Affiliations [🎓**The Hong Kong University of Science and Technology (Guangzhou)** Guangzhou · China 2023–2026 · 43 papers*current*](https://md.research.elamur.ai/free/en/universities/the-hong-kong-university-of-science-and-technology-guangzhou/) · [🎓**National University of Defense Technology** Changsha · China 2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2020–2022 · 13 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Computing Technology** Beijing · China 2018–2022 · 12 papers](https://md.research.elamur.ai/free/en/labs/institute-of-computing-technology/) · [🏢**Baidu** Beijing · China 2018–2022 · 7 papers](https://md.research.elamur.ai/free/en/companies/baidu/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2018–2022 · 7 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🏢**Artificial Intelligence in Medicine** Toronto · Canada 2025–2026 · 4 papers](https://ror.org/05p590m36) 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 10 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 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/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Materials Chemistry · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/materials-chemistry/) · [Materials Science · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/) 🧭 Topics 2 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-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/ying-sun/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/ying-sun/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[LLMs Can Simulate Standardized Patients via Agent Coevolution](https://md.research.elamur.ai/free/en/papers/du-2025-llms-can-simulate-standardized-patients/)** *(2025 · 20 citations)* Medical training relies on standardized patients (SPs), actors who portray real cases. They are costly to prepare, and the role can strain their well-being. LLM-based SPs exist, but earlier work mostly improved retrieval or relied on expert feedback. The harder problem is teaching a knowledgeable model to answer like… 2. **[Latent-Condensed Transformer for Efficient Long Context Modeling](https://md.research.elamur.ai/free/en/papers/you-2026-latent-condensed-transformer-efficient-long/)** *(2026)* Long-context LLMs face two separate costs. The KV cache grows with sequence length, and self-attention scales quadratically. Multi-head Latent Attention (MLA) shrinks the per-token cache by storing low-dimensional latents, but it still attends over every token. Sparse-attention techniques, in turn, need… 3. **[REAP: Towards Effective Training-Free Chemical Reasoning with Explicit Atomic Priors](https://md.research.elamur.ai/free/en/papers/zhang-2026-reap-effective-training-free-chemical/)** *(2026)* Frozen general-purpose LLMs often fail at precise chemical reasoning. They see molecules only as SMILES strings or coarse descriptors. Fine-tuning can add domain knowledge, but it locks that knowledge into weights, makes updates expensive, and can erode general skills. ## Co-authors here 4 co-authors with a page, the most papers together first. - [Jian Wu](https://md.research.elamur.ai/free/en/authors/jian-wu/) - [Qi Zhang](https://md.research.elamur.ai/free/en/authors/qi-zhang/) - [Wei Chen](https://md.research.elamur.ai/free/en/authors/wei-chen/) - [Zhuoyun Du](https://md.research.elamur.ai/free/en/authors/zhuoyun-du/) ## 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/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [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/) ## Cited by Papers of our library cite their works 13 times (of the 149,439 papers whose bibliographies we read); [7 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ying-sun/cited-by/). Updated 2 November 2026