--- title: "Yong Dai · Nanjing Tech University — author profile and papers" description: "Yong Dai, Nanjing Tech University: 3 papers on Elamur Research (2024–2026), h-index 16 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/yong-dai/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yong-dai/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yong Dai # Yong Dai Yong Dai has 3 papers in our library, in 2024–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Che Liu](https://md.research.elamur.ai/free/en/authors/che-liu/), [Daniel Rueckert](https://md.research.elamur.ai/free/en/authors/daniel-rueckert/), [Dong Yu](https://md.research.elamur.ai/free/en/authors/dong-yu/). 3 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5102982899) · [ORCID](https://orcid.org/0000-0001-7954-2969) · [**h-index 16**](https://openalex.org/authors/A5102982899) · [49 works](https://openalex.org/works?filter=author.id:A5102982899) · [654 citations](https://openalex.org/works?filter=author.id:A5102982899&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yong-dai/#papers) · [🔗 Cited 142 times in our library](https://md.research.elamur.ai/free/en/authors/yong-dai/cited-by/) · [⭐ Paper Stars ranking: #6453](https://md.research.elamur.ai/free/en/paper-stars/page/65/#star-6453) 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=Yong+Dai) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yong+Dai) · [dblp](https://dblp.org/search?q=Yong+Dai) · [ACL Anthology](https://aclanthology.org/search/?q=Yong+Dai) ## Affiliations [🎓**Yancheng Institute of Technology** Yancheng · China 2003–2025 · 31 papers*current*](https://ror.org/04y8njc86) · [🎓**Nanjing Tech University** Nanjing · China 2014–2025 · 8 papers*current*](https://ror.org/03sd35x91) · [🔬**State Key Laboratory of Materials-Oriented Chemical Engineering** Nanjing 2014–2025 · 8 papers*current*](https://ror.org/00s0wpd42) · [🎓**Yancheng Vocational Institute of Industry Technology** Yancheng · China 2016–2025 · 5 papers*current*](https://ror.org/04rp1yr92) · [🎓**Hubei Engineering University** Xiaogan · China 2020 · 2 papers](https://ror.org/05amnwk22) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) 🧭 Topics 3 Research subjects and languages the work is about.[Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yong-dai/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yong-dai/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yong-dai/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models](https://md.research.elamur.ai/free/en/papers/he-2024-webvoyager-building-end-end-web/)** *(2024 · 191 citations)* Most earlier web agents read only one kind of input, usually HTML text. They are also typically tested on simulated sites or frozen page snapshots, which says little about how they would handle real browsing. The authors present WebVoyager, an agent built on a large multimodal model (GPT-4V) that carries out user… 2. **[Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL](https://md.research.elamur.ai/free/en/papers/liu-2025-distillation-pushing-limits-medical-llm/)** *(2025 · 10 citations)* Medical LLMs usually learn to reason through supervised fine-tuning on chain-of-thought (CoT) traces, often distilled from proprietary systems such as GPT-4o. 3. **[E-ViC: Reasoning Beyond Text via Embodied Visual Chain for Spatial Intelligence](https://md.research.elamur.ai/free/en/papers/qi-2026-e-vic-reasoning-beyond-text/)** *(2026)* Vision-Language Models used as the reasoning core of robots often fail at precise spatial tasks. The authors argue that text-based Chain-of-Thought is a poor medium for geometry because language compresses away the pixel-level detail that manipulation needs. E-ViC (Embodied Visual Chain) moves part of the reasoning… ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Che Liu](https://md.research.elamur.ai/free/en/authors/che-liu/) ×2 - [Daniel Rueckert](https://md.research.elamur.ai/free/en/authors/daniel-rueckert/) - [Dong Yu](https://md.research.elamur.ai/free/en/authors/dong-yu/) - [Haozhe Wang](https://md.research.elamur.ai/free/en/authors/haozhe-wang/) - [Hongliang He](https://md.research.elamur.ai/free/en/authors/hongliang-he/) - [Hongming Zhang](https://md.research.elamur.ai/free/en/authors/hongming-zhang/) - [Jiazhen Pan](https://md.research.elamur.ai/free/en/authors/jiazhen-pan/) - [Kaixin Ma](https://md.research.elamur.ai/free/en/authors/kaixin-ma/) - [Osamu Yoshie](https://md.research.elamur.ai/free/en/authors/osamu-yoshie/) - [Wenhao Yu](https://md.research.elamur.ai/free/en/authors/wenhao-yu/) - [Wenlin Yao](https://md.research.elamur.ai/free/en/authors/wenlin-yao/) - [Yi Zhang](https://md.research.elamur.ai/free/en/authors/yi-zhang/) ## 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 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/) ## Cited by Papers of our library cite their works 142 times (of the 149,439 papers whose bibliographies we read); [63 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yong-dai/cited-by/). Updated 1 November 2026