--- title: "Zhenyang Cai — author profile and papers — Elamur Research" description: "Zhenyang Cai, Chinese University of Hong Kong, Shenzhen: 3 papers on Elamur Research (2024–2026), h-index 2 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/zhenyang-cai/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhenyang-cai/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhenyang Cai # Zhenyang Cai Zhenyang Cai has 3 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/), [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/); often with [Benyou Wang](https://md.research.elamur.ai/free/en/authors/benyou-wang/), [Bang An](https://md.research.elamur.ai/free/en/authors/bang-an/), [Haizhou Li](https://md.research.elamur.ai/free/en/authors/haizhou-li/). 3 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5051603712) · [ORCID](https://orcid.org/0009-0000-7538-6321) · [**h-index 2**](https://openalex.org/authors/A5051603712) · [6 works](https://openalex.org/works?filter=author.id:A5051603712) · [9 citations](https://openalex.org/works?filter=author.id:A5051603712&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/zhenyang-cai/#papers) · [🔗 Cited 92 times in our library](https://md.research.elamur.ai/free/en/authors/zhenyang-cai/cited-by/) · [⭐ Paper Stars ranking: #7904](https://md.research.elamur.ai/free/en/paper-stars/page/80/#star-7904) 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=Zhenyang+Cai) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhenyang+Cai) · [dblp](https://dblp.org/search?q=Zhenyang+Cai) · [ACL Anthology](https://aclanthology.org/search/?q=Zhenyang+Cai) ## Affiliations [🎓**Chinese University of Hong Kong, Shenzhen** Shenzhen · China 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong-shenzhen/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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/) · [Arts and Humanities · 2 works](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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Medicine · 2 works](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/) · [Health Informatics · 2 works](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Radiology, Nuclear Medicine and Imaging · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/radiology-nuclear-medicine-and-imaging/) 🧭 Topics 4 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Semitic languages · 1 work](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [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/zhenyang-cai/year/2026/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/zhenyang-cai/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs](https://md.research.elamur.ai/free/en/papers/chen-2024-huatuogpt-o1-towards-medical-complex/)** *(2024 · 87 citations)* Work that reproduces OpenAI o1-style reasoning has mostly targeted mathematics. Medicine also needs careful step-by-step reasoning, but a clinical chain of thought is hard to check automatically. The authors address this by building verifiable medical problems. They start from 192K multiple-choice exam questions… 2. **[Alignment at Pre-training! Towards Native Alignment for Arabic LLMs](https://md.research.elamur.ai/free/en/papers/liang-2024-alignment-pre-training-towards-native/)** *(2024 · 14 citations)* Most LLM alignment work happens after pre-training, through instruction tuning or reinforcement learning from feedback. The authors ask whether alignment can start earlier, inside the pre-training corpus itself. They call this "native alignment" and test it on Arabic. Their pipeline has four steps: 3. **[Towards a Radiologist Imitation Framework for 3D CT Diagnosis with Multimodal LLMs](https://md.research.elamur.ai/free/en/papers/zhang-2026-radiologist-imitation-framework-3d-ct/)** *(2026)* Most AI systems for 3D CT give every slice equal weight. Yet diagnostically relevant findings are usually concentrated in a few slices, so this uniform treatment wastes compute and can miss subtle lesions. The authors propose a framework that mimics how radiologists read a scan, in three stages. First, a CLIP-based… ## Co-authors here 12 of 13 co-authors with a page, the most papers together first. - [Benyou Wang](https://md.research.elamur.ai/free/en/authors/benyou-wang/) ×2 - [Bang An](https://md.research.elamur.ai/free/en/authors/bang-an/) - [Haizhou Li](https://md.research.elamur.ai/free/en/authors/haizhou-li/) - [Huang Huang](https://md.research.elamur.ai/free/en/authors/huang-huang/) - [Jianqing Zhu](https://md.research.elamur.ai/free/en/authors/jianqing-zhu/) - [Jianye Hou](https://md.research.elamur.ai/free/en/authors/jianye-hou/) - [Juhao Liang](https://md.research.elamur.ai/free/en/authors/juhao-liang/) - [Juncai He](https://md.research.elamur.ai/free/en/authors/juncai-he/) - [Junying Chen](https://md.research.elamur.ai/free/en/authors/junying-chen/) - [Ke Ji](https://md.research.elamur.ai/free/en/authors/ke-ji/) - [Mosen Alharthi](https://md.research.elamur.ai/free/en/authors/mosen-alharthi/) - [Wanlong Liu](https://md.research.elamur.ai/free/en/authors/wanlong-liu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/): [BioNLP 2026](https://md.research.elamur.ai/free/en/venues/bionlp/2026/) - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) ## Cited by Papers of our library cite their works 92 times (of the 149,439 papers whose bibliographies we read); [43 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhenyang-cai/cited-by/). Updated 2 November 2026