--- title: "Yubing Ren — author profile and papers — Elamur Research" description: "Yubing Ren, Chinese Academy of Sciences: 3 papers on Elamur Research (2026), h-index 4 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/yubing-ren/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yubing-ren/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yubing Ren # Yubing Ren Yubing Ren 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/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Fang Fang](https://md.research.elamur.ai/free/en/authors/fang-fang/), [Yanan Cao](https://md.research.elamur.ai/free/en/authors/yanan-cao/), [Li Guo](https://md.research.elamur.ai/free/en/authors/li-guo/). 3 papers in our library · 2026 [OpenAlex](https://openalex.org/A5101219998) · [ORCID](https://orcid.org/0000-0002-0815-3998) · [Wikidata](https://www.wikidata.org/wiki/Q130863050) · [**h-index 4**](https://openalex.org/authors/A5101219998) · [23 works](https://openalex.org/works?filter=author.id:A5101219998) · [69 citations](https://openalex.org/works?filter=author.id:A5101219998&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yubing-ren/#papers) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #13393](https://md.research.elamur.ai/free/en/paper-stars/page/134/#star-13393) 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=Yubing+Ren) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yubing+Ren) · [dblp](https://dblp.org/search?q=Yubing+Ren) · [ACL Anthology](https://aclanthology.org/search/?q=Yubing+Ren) ## Affiliations [🏛️**Chinese Academy of Sciences** Beijing · China 2022–2026 · 21 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Information Engineering** Beijing · China 2022–2026 · 21 papersEmployment*current*](https://md.research.elamur.ai/free/en/labs/institute-of-information-engineering/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2022–2026 · 20 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) 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).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 2 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [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/yubing-ren/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Cognitive Analysis Graph-Guided Multi-Turn Safety Enhancement for Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-cognitive-analysis-graph-guided-multi/)** *(2026)* Inference-time safety methods for LLMs often fail in multi-turn chats. They judge a question or answer on its own, apply the same defense instructions to every prompt, and ignore earlier turns. As a result, a request that looks harmless alone can become dangerous in context. The authors propose CogGSE, a… 2. **[Exons-Detect: Identifying and Amplifying Exonic Tokens via Hidden-State Discrepancy for Robust AI-Generated Text Detection](https://md.research.elamur.ai/free/en/papers/zhu-2026-exons-detect-identifying-amplifying-exonic/)** *(2026)* Zero-shot detectors of machine-written text usually average per-token statistics into a single score. This treats every token as equally useful, so the signal weakens on short inputs or after local edits. Exons-Detect is a training-free detector that weights tokens unequally, borrowing the exon/intron analogy from… 3. **[Rethinking LLM Watermark Detection in Black-Box Settings: A Non-Intrusive Third-Party Framework](https://md.research.elamur.ai/free/en/papers/wang-2026-rethinking-llm-watermark-detection-black/)** *(2026)* Most LLM watermarks share a secret key between the embedding step and the detector. Outsiders such as courts, regulators or platform moderators therefore cannot check a watermark on their own. They must either trust the provider's word or obtain the key, and handing over the key makes forging or removing the… ## All works 4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[Cognitive Analysis Graph-Guided Multi-Turn Safety Enhancement for Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-cognitive-analysis-graph-guided-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lanxue Zhang, Yuqiang Xie, Fang Fang, et al.*2026* 2. **[Exons-Detect: Identifying and Amplifying Exonic Tokens via Hidden-State Discrepancy for Robust AI-Generated Text Detection](https://md.research.elamur.ai/free/en/papers/zhu-2026-exons-detect-identifying-amplifying-exonic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaowei Zhu, Yubing Ren, Fang Fang, et al.*2026* 3. **[Rethinking LLM Watermark Detection in Black-Box Settings: A Non-Intrusive Third-Party Framework](https://md.research.elamur.ai/free/en/papers/wang-2026-rethinking-llm-watermark-detection-black/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhuoshang Wang, Yubing Ren, Yanan Cao, et al.*2026* 4. **[DualGuard: Dual-stream Large Language Model Watermarking Defense against Paraphrase and Spoofing Attack ↗](https://aclanthology.org/2026.findings-acl.1169/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Hao Li et al.*2026* ## Co-authors here 4 co-authors with a page, the most papers together first. - [Fang Fang](https://md.research.elamur.ai/free/en/authors/fang-fang/) ×3 - [Yanan Cao](https://md.research.elamur.ai/free/en/authors/yanan-cao/) ×3 - [Li Guo](https://md.research.elamur.ai/free/en/authors/li-guo/) ×2 - [Shi Wang](https://md.research.elamur.ai/free/en/authors/shi-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/) ×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/) - Findings of the Association for Computational Linguistics: ACL 2026 Updated 2 November 2026