---
title: "Li Guo — author profile and papers — Elamur Research"
description: "Li Guo, Chinese Academy of Sciences: 3 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/li-guo/"
---
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# Li Guo

Li Guo has 3 papers in our library, in 2026; 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/), [Yubing Ren](https://md.research.elamur.ai/free/en/authors/yubing-ren/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139785768) · [**h-index 0**](https://openalex.org/authors/A5139785768) · [3 works](https://openalex.org/works?filter=author.id:A5139785768) · [0 citations](https://openalex.org/works?filter=author.id:A5139785768&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/li-guo/#papers) · [⭐ Paper Stars ranking: #13337](https://md.research.elamur.ai/free/en/paper-stars/page/134/#star-13337)

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=Li+Guo) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Li+Guo) · [dblp](https://dblp.org/search?q=Li+Guo) · [ACL Anthology](https://aclanthology.org/search/?q=Li+Guo)

## Affiliations

[🏛️**Chinese Academy of Sciences** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Information Engineering** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-information-engineering/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2026 · 2 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.

## 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 · 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/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/li-guo/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[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…
2. **[HyperMem: Hypergraph Memory for Long-Term Conversations](https://md.research.elamur.ai/free/en/papers/yue-2026-hypermem-hypergraph-memory-long-term/)** *(2026)* Conversational agents need memory that persists across long dialogues, but their context windows are fixed.
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…

## Co-authors here

8 co-authors with a page, the most papers together first.

- [Fang Fang](https://md.research.elamur.ai/free/en/authors/fang-fang/) ×2
- [Yanan Cao](https://md.research.elamur.ai/free/en/authors/yanan-cao/) ×2
- [Yubing Ren](https://md.research.elamur.ai/free/en/authors/yubing-ren/) ×2
- [Jiawei Sheng](https://md.research.elamur.ai/free/en/authors/jiawei-sheng/)
- [Juwei Yue](https://md.research.elamur.ai/free/en/authors/juwei-yue/)
- [Shi Wang](https://md.research.elamur.ai/free/en/authors/shi-wang/)
- [Tingwen Liu](https://md.research.elamur.ai/free/en/authors/tingwen-liu/)
- [Wenyuan Zhang](https://md.research.elamur.ai/free/en/authors/wenyuan-zhang/)

## 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
- [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/)

Updated 2 November 2026
