--- title: "Hang Yu · Shanghai University — author profile and papers" description: "Hang Yu, Shanghai University: 3 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/hang-yu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hang-yu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hang Yu # Hang Yu Hang Yu has 3 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Linchao Zhu](https://md.research.elamur.ai/free/en/authors/linchao-zhu/), [Peng Di](https://md.research.elamur.ai/free/en/authors/peng-di/), [Jun Wang](https://md.research.elamur.ai/free/en/authors/jun-wang/). 3 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139850154) · [**h-index 0**](https://openalex.org/authors/A5139850154) · [4 works](https://openalex.org/works?filter=author.id:A5139850154) · [0 citations](https://openalex.org/works?filter=author.id:A5139850154&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/hang-yu/#papers) · [⭐ Paper Stars ranking: #13316](https://md.research.elamur.ai/free/en/paper-stars/page/134/#star-13316) 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=Hang+Yu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hang+Yu) · [dblp](https://dblp.org/search?q=Hang+Yu) · [ACL Anthology](https://aclanthology.org/search/?q=Hang+Yu) ## Affiliations [🏢**Ant Group** Hangzhou · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/ant-group/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**Shanghai University** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shanghai-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).[Computer Science · 3 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/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/hang-yu/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[N-GRPO: Embedding-Level Neighbor Mixing for Enhanced Policy Optimization](https://md.research.elamur.ai/free/en/papers/zhu-2026-n-grpo-embedding-level-neighbor/)** *(2026)* RL fine-tuning methods such as GRPO depend on the rollout phase producing varied reasoning paths. Existing approaches have drawbacks. Ordinary token sampling tends to produce near-duplicate solutions that differ only in wording or operand order. Adding Gaussian noise to embeddings, by contrast, often moves tokens to… 2. **[TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale](https://md.research.elamur.ai/free/en/papers/wang-2026-tingis-real-time-risk-event/)** *(2026)* Large cloud-native and fintech services sometimes fail in ways that internal monitoring does not catch. Complaints from users can expose these failures early, but the complaints are colloquial, noisy, arrive in heavy streams and span many business lines. TingIS is an end-to-end system from Ant Group that turns this… 3. **[Verifier-Free RL for LLMs via Intrinsic Gradient-Norm Reward](https://md.research.elamur.ai/free/en/papers/wen-2026-verifier-free-rl-llms-intrinsic/)** *(2026)* Reinforcement learning with verifiable rewards (RLVR) works well for LLM post-training, but it needs gold answers or task-specific checkers, which limits its use in new domains. ## Co-authors here 5 co-authors with a page, the most papers together first. - [Linchao Zhu](https://md.research.elamur.ai/free/en/authors/linchao-zhu/) ×2 - [Peng Di](https://md.research.elamur.ai/free/en/authors/peng-di/) ×2 - [Jun Wang](https://md.research.elamur.ai/free/en/authors/jun-wang/) - [Rui Wang](https://md.research.elamur.ai/free/en/authors/rui-wang/) - [Ziyin Zhang](https://md.research.elamur.ai/free/en/authors/ziyin-zhang/) ## 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/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 - [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/) Updated 2 November 2026