--- title: "Guorui Zhou — author profile and papers — Elamur Research" description: "Guorui Zhou, Kuaishou: 5 papers on Elamur Research (2026), h-index 22 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/guorui-zhou/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/guorui-zhou/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Guorui Zhou # Guorui Zhou Guorui Zhou has 5 papers in our library, in 2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Kun Gai](https://md.research.elamur.ai/free/en/authors/kun-gai/), [Ruiming Tang](https://md.research.elamur.ai/free/en/authors/ruiming-tang/), [Han Li](https://md.research.elamur.ai/free/en/authors/han-li/). 5 papers in our library · 2026 [OpenAlex](https://openalex.org/A5108693980) · [ORCID](https://orcid.org/0009-0002-8550-279X) · [**h-index 22**](https://openalex.org/authors/A5108693980) · [148 works](https://openalex.org/works?filter=author.id:A5108693980) · [4,975 citations](https://openalex.org/works?filter=author.id:A5108693980&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/guorui-zhou/#papers) · [🔗 Cited 88 times in our library](https://md.research.elamur.ai/free/en/authors/guorui-zhou/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #10046](https://md.research.elamur.ai/free/en/paper-stars/page/101/#star-10046) 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=Guorui+Zhou) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Guorui+Zhou) · [dblp](https://dblp.org/search?q=Guorui+Zhou) · [ACL Anthology](https://aclanthology.org/search/?q=Guorui+Zhou) ## Affiliations [🏢**Kuaishou** Beijing · China 2023–2026 · 40 papersEmployment*current*](https://md.research.elamur.ai/free/en/companies/kuaishou/) · [🔬**China Academy of Engineering Physics** Mianyang · China 2014–2025 · 49 papers](https://ror.org/039vqpp67) · [🔬**Laser Fusion Research Center** Mianyang 2014–2025 · 45 papers](https://ror.org/02ggaqt78) · [🏢**Alibaba Group** Hangzhou · China 2017–2022 · 19 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**Sichuan University** Chengdu · China 2011–2023 · 5 papers](https://md.research.elamur.ai/free/en/universities/sichuan-university/) · [🤝**Chinese Research Academy of Environmental Sciences** Beijing · China 2024–2025 · 3 papers](https://ror.org/05t8xvx87) · [🎓**Beijing University of Posts and Telecommunications** Beijing · China 2015–2016 · 3 papers](https://md.research.elamur.ai/free/en/universities/beijing-university-of-posts-and-telecommunications/) · [🎓**Northumbria University** Newcastle upon Tyne · United Kingdom 2017–2018 · 2 papers](https://ror.org/049e6bc10) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Information Systems · 2 works](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/) 🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 5 papers](https://md.research.elamur.ai/free/en/authors/guorui-zhou/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Unlocking Exploration in RLVR: Uncertainty-aware Advantage Shaping for Deeper Reasoning](https://md.research.elamur.ai/free/en/papers/xie-2026-unlocking-exploration-rlvr-uncertainty-aware/)** *(2026 · 15 citations)* Standard RLVR algorithms such as GRPO give every token in a sampled response the same advantage. They cannot tell pivotal reasoning decisions from routine ones, so the policy settles too early on a few safe trajectories and suffers entropy collapse. The authors, from Kuaishou Technology, propose UCAS… 2. **[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… 3. **[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. 4. **[DeepSynth-Eval: Objectively Evaluating Information Consolidation in Deep Survey Writing](https://md.research.elamur.ai/free/en/papers/zhang-2026-deepsynth-eval-objectively-evaluating-information/)** *(2026)* Deep Research agents are usually benchmarked on how well they find information. The stage after retrieval gets far less objective testing: merging evidence from many sources into a long, organized report. DeepSynth-Eval (DSE) targets that stage. The authors treat expert-written survey papers as reference answers. For… 5. **[Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers](https://md.research.elamur.ai/free/en/papers/zhang-2026-unleashing-native-recommendation-potential-llm/)** *(2026)* LLM-based generative recommenders must name items in a form the model can produce and that maps back to real catalog entries. ## All works 7 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them. 1. **[Deep Interest Evolution Network for Click-Through Rate Prediction ↗](https://doi.org/10.1609/aaai.v33i01.33015941) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Guorui Zhou et al.*2019 · 1,102 citations* 2. **[Leanabell-Prover: Posttraining Scaling in Formal Reasoning ↗](https://arxiv.org/abs/2504.06122) arXiv:2504.06122 · no summary yet**Jingyuan Zhang et al.*2025 · 21 citations* 3. **[Unlocking Exploration in RLVR: Uncertainty-aware Advantage Shaping for Deeper Reasoning](https://md.research.elamur.ai/free/en/papers/xie-2026-unlocking-exploration-rlvr-uncertainty-aware/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Can Xie, Ruotong Pan, Xiangyu Wu, et al.*2026 · 15 citations* 4. **[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/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhenpeng Su, Leiyu Pan, Minxuan Lv, et al.*2026 · 7 citations* 5. **[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/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenpeng Su, Leiyu Pan, Minxuan Lv, et al.*2026 · 1 citation* 6. **[DeepSynth-Eval: Objectively Evaluating Information Consolidation in Deep Survey Writing](https://md.research.elamur.ai/free/en/papers/zhang-2026-deepsynth-eval-objectively-evaluating-information/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongzhi Zhang, Yuanze Hu, Tinghai Zhang, et al.*2026* 7. **[Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers](https://md.research.elamur.ai/free/en/papers/zhang-2026-unleashing-native-recommendation-potential-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhiyang Zhang, Junda She, Kuo Cai, et al.*2026* ## Co-authors here 12 of 17 co-authors with a page, the most papers together first. - [Kun Gai](https://md.research.elamur.ai/free/en/authors/kun-gai/) ×4 - [Ruiming Tang](https://md.research.elamur.ai/free/en/authors/ruiming-tang/) ×3 - [Han Li](https://md.research.elamur.ai/free/en/authors/han-li/) ×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 - [Wenping Hu](https://md.research.elamur.ai/free/en/authors/wenping-hu/) ×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 - [Bo Chen](https://md.research.elamur.ai/free/en/authors/bo-chen/) - [Fuzheng Zhang](https://md.research.elamur.ai/free/en/authors/fuzheng-zhang/) - [Shiyao Wang](https://md.research.elamur.ai/free/en/authors/shiyao-wang/) - [Tao Wang](https://md.research.elamur.ai/free/en/authors/tao-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×4: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×4 - [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/) - Proceedings of the AAAI Conference on Artificial Intelligence ## Cited by Papers of our library cite their works 88 times (of the 149,439 papers whose bibliographies we read); [21 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/guorui-zhou/cited-by/). Updated 2 November 2026