--- title: "Wenping Hu — author profile and papers — Elamur Research" description: "Wenping Hu, Kuaishou: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/wenping-hu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/wenping-hu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Wenping Hu # Wenping Hu Wenping Hu has 2 papers in our library, in 2026; often with [Guorui Zhou](https://md.research.elamur.ai/free/en/authors/guorui-zhou/), [Kun Gai](https://md.research.elamur.ai/free/en/authors/kun-gai/), [Leiyu Pan](https://md.research.elamur.ai/free/en/authors/leiyu-pan/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139715137) · [**h-index 0**](https://openalex.org/authors/A5139715137) · [2 works](https://openalex.org/works?filter=author.id:A5139715137) · [0 citations](https://openalex.org/works?filter=author.id:A5139715137&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/wenping-hu/#papers) · [🔗 Cited 8 times in our library](https://md.research.elamur.ai/free/en/authors/wenping-hu/cited-by/) · [⭐ Paper Stars ranking: #10198](https://md.research.elamur.ai/free/en/paper-stars/page/102/#star-10198) 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=Wenping+Hu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Wenping+Hu) · [dblp](https://dblp.org/search?q=Wenping+Hu) · [ACL Anthology](https://aclanthology.org/search/?q=Wenping+Hu) ## Affiliations [🏢**Kuaishou** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/kuaishou/) 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 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/wenping-hu/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/su-2026-ce-gppo-coordinating-entropy-gradient/)** *(2026 · 7 citations)* The paper tackles unstable policy entropy when large language models are trained with RL for reasoning. PPO-style methods, including GRPO and DAPO, clip the importance sampling ratio, and this silently drops gradients from low-probability tokens. The authors split tokens by advantage sign and probability. They argue… 2. **[Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/su-2026-entropy-ratio-clipping-as-soft/)** *(2026 · 1 citation)* LLM post-training with reinforcement learning is usually off-policy, so updates use samples from older policies. ## Co-authors here 9 co-authors with a page, the most papers together first. - [Guorui Zhou](https://md.research.elamur.ai/free/en/authors/guorui-zhou/) ×2 - [Kun Gai](https://md.research.elamur.ai/free/en/authors/kun-gai/) ×2 - [Leiyu Pan](https://md.research.elamur.ai/free/en/authors/leiyu-pan/) ×2 - [Minxuan Lv](https://md.research.elamur.ai/free/en/authors/minxuan-lv/) ×2 - [Yuntao Li](https://md.research.elamur.ai/free/en/authors/yuntao-li/) ×2 - [Zhenpeng Su](https://md.research.elamur.ai/free/en/authors/zhenpeng-su/) ×2 - [Fuzheng Zhang](https://md.research.elamur.ai/free/en/authors/fuzheng-zhang/) - [Ruiming Tang](https://md.research.elamur.ai/free/en/authors/ruiming-tang/) - [Tiehua Mei](https://md.research.elamur.ai/free/en/authors/tiehua-mei/) ## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [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 8 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/wenping-hu/cited-by/). Updated 1 November 2026