--- title: "Tong Ruan — author profile and papers — Elamur Research" description: "Tong Ruan, East China University of Science and Technology: 3 papers on Elamur Research (2025–2026), h-index 1 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/tong-ruan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/tong-ruan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Tong Ruan # Tong Ruan Tong Ruan has 3 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Weiyan Zhang](https://md.research.elamur.ai/free/en/authors/weiyan-zhang/), [Guangya Yu](https://md.research.elamur.ai/free/en/authors/guangya-yu/), [Haiyun Jiang](https://md.research.elamur.ai/free/en/authors/haiyun-jiang/). 3 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5139732613) · [**h-index 1**](https://openalex.org/authors/A5139732613) · [14 works](https://openalex.org/works?filter=author.id:A5139732613) · [3 citations](https://openalex.org/works?filter=author.id:A5139732613&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/tong-ruan/#papers) · [🔗 Cited 6 times in our library](https://md.research.elamur.ai/free/en/authors/tong-ruan/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9765](https://md.research.elamur.ai/free/en/paper-stars/page/98/#star-9765) 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=Tong+Ruan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tong+Ruan) · [dblp](https://dblp.org/search?q=Tong+Ruan) · [ACL Anthology](https://aclanthology.org/search/?q=Tong+Ruan) ## Affiliations [🎓**East China University of Science and Technology** Shanghai · China 2026 · 13 papers*current*](https://md.research.elamur.ai/free/en/universities/east-china-university-of-science-and-technology/) 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 14 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Chemistry · 1 work](https://md.research.elamur.ai/free/en/shelves/chemistry/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Health Information Management · 1 work](https://md.research.elamur.ai/free/en/shelves/health-professions/health-information-management/) · [Health Professions · 1 work](https://md.research.elamur.ai/free/en/shelves/health-professions/) · [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/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Physical and Theoretical Chemistry · 1 work](https://md.research.elamur.ai/free/en/shelves/chemistry/physical-and-theoretical-chemistry/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/tong-ruan/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/tong-ruan/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Can Multimodal Large Language Models Understand Spatial Relations?](https://md.research.elamur.ai/free/en/papers/liu-2025-can-multimodal-large-language-models/)** *(2025 · 11 citations)* Spatial relation reasoning is a basic skill for multimodal large language models (MLLMs), but existing benchmarks have several weaknesses. 2. **[AIDA-SEAT: Towards Reliable AI Doctor Assistant via State-Evaluation-Action Tree Enhanced LLMs in Online Hospital](https://md.research.elamur.ai/free/en/papers/sun-2026-aida-seat-reliable-ai-doctor/)** *(2026)* Clinical assistants built on LLMs, whether prompted directly or grounded through text or graph retrieval (RAG), mostly receive isolated medical facts. 3. **[MCLE-Mol: Empowering LLM with Molecular Comprehension and Low-Cost Continual Evolution for Interpretable Property Prediction](https://md.research.elamur.ai/free/en/papers/pu-2026-mcle-mol-empowering-llm-molecular/)** *(2026)* Large language models could make molecular property prediction (MPP) explainable. However, they have trouble connecting molecular structure to activity. Earlier methods that supply structural hints also tend to treat chance co-occurrences in training data as chemical laws. MCLE-Mol addresses this with a framework… ## All works 6 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[Can Multimodal Large Language Models Understand Spatial Relations?](https://md.research.elamur.ai/free/en/papers/liu-2025-can-multimodal-large-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingping Liu, Ziyan Liu, Zhedong Cen, et al.*2025 · 11 citations* 2. **[AIDA-SEAT: Towards Reliable AI Doctor Assistant via State-Evaluation-Action Tree Enhanced LLMs in Online Hospital](https://md.research.elamur.ai/free/en/papers/sun-2026-aida-seat-reliable-ai-doctor/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lianxin Sun, Xiaoying Ying, Guangya Yu, et al.*2026* 3. **[MCLE-Mol: Empowering LLM with Molecular Comprehension and Low-Cost Continual Evolution for Interpretable Property Prediction](https://md.research.elamur.ai/free/en/papers/pu-2026-mcle-mol-empowering-llm-molecular/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhili Pu, Lantian Zhang, Hao Duan, et al.*2026* 4. **[MedKInstruct: A Multimodal Knowledge Graph Based Framework for Multi-Hop and Hard-Negative Instruction Data Synthesis in MedVQA ↗](https://aclanthology.org/2026.findings-acl.1391/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Yinan Wu et al.*2026* 5. **[Experience is the Teacher: Reusing Atomic Thoughts from LLMs to Improve Medical Dialogue ↗](https://aclanthology.org/2026.findings-acl.957/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Guangya Yu et al.*2026* 6. **[Balancing Knowledge Breadth and Task Depth for Effective Domain Adaptation Fine-Tuning ↗](https://aclanthology.org/2026.findings-acl.405/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Mu Zhang et al.*2026* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Weiyan Zhang](https://md.research.elamur.ai/free/en/authors/weiyan-zhang/) ×2 - [Guangya Yu](https://md.research.elamur.ai/free/en/authors/guangya-yu/) - [Haiyun Jiang](https://md.research.elamur.ai/free/en/authors/haiyun-jiang/) - [Hao He](https://md.research.elamur.ai/free/en/authors/hao-he/) - [Jingping Liu](https://md.research.elamur.ai/free/en/authors/jingping-liu/) - [Yan Zhou](https://md.research.elamur.ai/free/en/authors/yan-zhou/) - [Yun Tang](https://md.research.elamur.ai/free/en/authors/yun-tang/) - [Ziyan Liu](https://md.research.elamur.ai/free/en/authors/ziyan-liu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - Findings of the Association for Computational Linguistics: ACL 2026 ×3 - [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 6 times (of the 149,439 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/tong-ruan/cited-by/). Updated 1 November 2026