--- title: "Dongzhan Zhou — author profile and papers — Elamur Research" description: "Dongzhan Zhou, Beijing Academy of Artificial Intelligence: 6 papers on Elamur Research (2024–2026), h-index 12 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/dongzhan-zhou/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/dongzhan-zhou/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Dongzhan Zhou # Dongzhan Zhou Dongzhan Zhou has 6 papers in our library, in 2024–2026, 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/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Wanli Ouyang](https://md.research.elamur.ai/free/en/authors/wanli-ouyang/), [Tong Xie](https://md.research.elamur.ai/free/en/authors/tong-xie/), [Yuqiang Li](https://md.research.elamur.ai/free/en/authors/yuqiang-li/). 6 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5112578541) · [ORCID](https://orcid.org/0000-0001-6568-5440) · [**h-index 12**](https://openalex.org/authors/A5112578541) · [82 works](https://openalex.org/works?filter=author.id:A5112578541) · [824 citations](https://openalex.org/works?filter=author.id:A5112578541&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/dongzhan-zhou/#papers) · [🔗 Cited 158 times in our library](https://md.research.elamur.ai/free/en/authors/dongzhan-zhou/cited-by/) · [⭐ Paper Stars ranking: #6558](https://md.research.elamur.ai/free/en/paper-stars/page/66/#star-6558) 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=Dongzhan+Zhou) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Dongzhan+Zhou) · [dblp](https://dblp.org/search?q=Dongzhan+Zhou) · [ACL Anthology](https://aclanthology.org/search/?q=Dongzhan+Zhou) ## Affiliations [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2024–2026 · 27 papers*current*](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) · [🔬**Beijing Academy of Artificial Intelligence** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/labs/beijing-academy-of-artificial-intelligence/) · [🤝**China Building Materials Academy** Beijing · China 2017–2025 · 18 papers](https://ror.org/020q9r015) · [🎓**Beijing Jiaotong University** Beijing · China 2014–2018 · 13 papers](https://md.research.elamur.ai/free/en/universities/beijing-jiaotong-university/) · [🎓**The University of Sydney** Sydney · Australia 2019–2023 · 8 papersEmployment](https://md.research.elamur.ai/free/en/universities/the-university-of-sydney/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 13 The field of science this work belongs to (OpenAlex fields).[Computer Science · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Materials Science · 3 works](https://md.research.elamur.ai/free/en/shelves/materials-science/) · [Materials Chemistry · 3 works](https://md.research.elamur.ai/free/en/shelves/materials-science/materials-chemistry/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Applied Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Information Systems and Management · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/dongzhan-zhou/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/dongzhan-zhou/year/2025/) · [**2024** 3 papers](https://md.research.elamur.ai/free/en/authors/dongzhan-zhou/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[ChemLLM: A Chemical Large Language Model](https://md.research.elamur.ai/free/en/papers/zhang-2024-chemllm-chemical-large-language-model/)** *(2024 · 82 citations)* General-purpose LLMs are increasingly used for chemistry, but none had been built specifically for the field. 2. **[LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/zhang-2024-llama-berry-pairwise-optimization-o1/)** *(2024 · 49 citations)* LLaMA-Berry is a framework that helps LLMs solve hard math problems, especially at Olympiad level, without retraining the base model. It tackles two weaknesses. Stepwise generation gets little feedback along the way. Iterative self-correction tends to stall in poor local solutions. 3. **[MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses](https://md.research.elamur.ai/free/en/papers/yang-2024-moose-chem-large-language/)** *(2024 · 36 citations)* The paper asks whether LLMs can independently propose new, valid chemistry hypotheses when given only a research background (a question and/or a short survey) from any subfield. 4. **[ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition](https://md.research.elamur.ai/free/en/papers/liu-2025-researchbench-benchmarking-llms-scientific/)** *(2025 · 25 citations)* Scientific hypothesis generation has had no dedicated benchmark for LLMs. ResearchBench addresses this by building on a decomposition from MOOSE-Chem. In that view, a hypothesis comes from combining a research background with one or more inspirations. Discovery can then be split into three sub-tasks: finding… 5. **[From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery](https://md.research.elamur.ai/free/en/papers/wei-2025-ai-science-agentic-science/)** *(2025 · 19 citations)* AI's role in research is moving from narrow predictive tools toward systems that can run much of the scientific cycle on their own. 6. **[Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale](https://md.research.elamur.ai/free/en/papers/zou-2026-intern-s1-pro-scientific/)** *(2026 · 3 citations)* Intern-S1-Pro, from Shanghai AI Laboratory, is presented as the first scientific multimodal foundation model with one trillion parameters. ## Co-authors here 12 of 31 co-authors with a page, the most papers together first. - [Wanli Ouyang](https://md.research.elamur.ai/free/en/authors/wanli-ouyang/) ×4 - [Tong Xie](https://md.research.elamur.ai/free/en/authors/tong-xie/) ×3 - [Yuqiang Li](https://md.research.elamur.ai/free/en/authors/yuqiang-li/) ×3 - [Ben Gao](https://md.research.elamur.ai/free/en/authors/ben-gao/) ×2 - [Di Zhang](https://md.research.elamur.ai/free/en/authors/di-zhang/) ×2 - [Erik Cambria](https://md.research.elamur.ai/free/en/authors/erik-cambria/) ×2 - [Jiatong Li](https://md.research.elamur.ai/free/en/authors/jiatong-li/) ×2 - [Shufei Zhang](https://md.research.elamur.ai/free/en/authors/shufei-zhang/) ×2 - [Zonglin Yang](https://md.research.elamur.ai/free/en/authors/zonglin-yang/) ×2 - [Bowen Zhou](https://md.research.elamur.ai/free/en/authors/bowen-zhou/) - [Hang Yan](https://md.research.elamur.ai/free/en/authors/hang-yan/) - [Jinjie Ni](https://md.research.elamur.ai/free/en/authors/jinjie-ni/) ## Cited by Papers of our library cite their works 158 times (of the 149,439 papers whose bibliographies we read); [52 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/dongzhan-zhou/cited-by/). Updated 3 November 2026