--- title: "Kangning Zhang — author profile and papers in our library" description: "Kangning Zhang, Shanghai Jiao Tong University: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/kangning-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/kangning-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Kangning Zhang # Kangning Zhang Kangning Zhang has 2 papers in our library, in 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/); often with [Weinan Zhang](https://md.research.elamur.ai/free/en/authors/weinan-zhang/), [Yong Yu](https://md.research.elamur.ai/free/en/authors/yong-yu/), [Jiachen Zhu](https://md.research.elamur.ai/free/en/authors/jiachen-zhu/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5138421561) · [**h-index 0**](https://openalex.org/authors/A5138421561) · [2 works](https://openalex.org/works?filter=author.id:A5138421561) · [0 citations](https://openalex.org/works?filter=author.id:A5138421561&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/kangning-zhang/#papers) · [🔗 Cited 5 times in our library](https://md.research.elamur.ai/free/en/authors/kangning-zhang/cited-by/) · [⭐ Paper Stars ranking: #11663](https://md.research.elamur.ai/free/en/paper-stars/page/117/#star-11663) 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=Kangning+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kangning+Zhang) · [dblp](https://dblp.org/search?q=Kangning+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Kangning+Zhang) ## Affiliations [🎓**Shanghai Jiao Tong University** Shanghai · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) 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 6 The field of science this work belongs to (OpenAlex fields).[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/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Business, Management and Accounting · 1 work](https://md.research.elamur.ai/free/en/shelves/business-management-and-accounting/) · [Management Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/business-management-and-accounting/management-information-systems/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-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/kangning-zhang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[LoopTool: Closing the Data–Training Loop for Robust LLM Tool Calls](https://md.research.elamur.ai/free/en/papers/zhang-2026-looptool-closing-data-training-loop/)** *(2026 · 6 citations)* Synthetic data pipelines for training tool-calling LLMs are usually static. Data are generated once, without regard to what the model already handles or still gets wrong, and noisy labels from cheaper open-source generators stay in the set. LoopTool addresses this by turning data creation and training into one… 2. **[A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and Usage](https://md.research.elamur.ai/free/en/papers/zheng-2026-comprehensive-survey-process-reward-models/)** *(2026)* Reasoning alignment for LLMs has mostly relied on outcome reward models (ORMs). These judge only the final answer, so an extended chain of thought receives just one coarse signal. This survey covers Process Reward Models (PRMs), which score individual steps or whole trajectories. It frames the field as a cycle… ## Co-authors here 10 co-authors with a page, the most papers together first. - [Weinan Zhang](https://md.research.elamur.ai/free/en/authors/weinan-zhang/) ×2 - [Yong Yu](https://md.research.elamur.ai/free/en/authors/yong-yu/) ×2 - [Jiachen Zhu](https://md.research.elamur.ai/free/en/authors/jiachen-zhu/) - [Jianghao Lin](https://md.research.elamur.ai/free/en/authors/jianghao-lin/) - [Kounianhua Du](https://md.research.elamur.ai/free/en/authors/kounianhua-du/) - [Mengyue Yang](https://md.research.elamur.ai/free/en/authors/mengyue-yang/) - [Rong Shan](https://md.research.elamur.ai/free/en/authors/rong-shan/) - [Weiwen Liu](https://md.research.elamur.ai/free/en/authors/weiwen-liu/) - [Wenxiang Jiao](https://md.research.elamur.ai/free/en/authors/wenxiang-jiao/) - [Yuxiang Chen](https://md.research.elamur.ai/free/en/authors/yuxiang-chen/) ## 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/) ×2 ## Cited by Papers of our library cite their works 5 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/kangning-zhang/cited-by/). Updated 2 November 2026