---
title: "Jing Yu — author profile and papers — Elamur Research"
description: "Jing Yu: 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/jing-yu/"
---
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# Jing Yu

Jing 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/), [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Chi Chen](https://md.research.elamur.ai/free/en/authors/chi-chen/), [Ke Yang](https://md.research.elamur.ai/free/en/authors/ke-yang/), [Shuguang Yuan](https://md.research.elamur.ai/free/en/authors/shuguang-yuan/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139792473) · [**h-index 0**](https://openalex.org/authors/A5139792473) · [5 works](https://openalex.org/works?filter=author.id:A5139792473) · [0 citations](https://openalex.org/works?filter=author.id:A5139792473&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/jing-yu/#papers) · [⭐ Paper Stars ranking: #13326](https://md.research.elamur.ai/free/en/paper-stars/page/134/#star-13326)

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

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Hardware and Architecture · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 3 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [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/jing-yu/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric Video](https://md.research.elamur.ai/free/en/papers/tang-2026-egomemory-memory-augmented-personalized-retrieval/)** *(2026)* Wearable cameras such as AR glasses could let people search their own past experiences with natural-language questions.
2. **[Knowledge-Infused Multi-Bit Watermarking for RAG Knowledge Bases](https://md.research.elamur.ai/free/en/papers/yang-2026-knowledge-infused-multi-bit-watermarking/)** *(2026)* Knowledge bases behind RAG systems are costly assets that can be stolen and redeployed. An owner can usually probe a suspect system only as a black box. Earlier RAG watermarks have two kinds of drawbacks. Some paraphrase the owner's documents, which hurts their accuracy. Others insert generated passages that may be…
3. **[You Can Have a Second Chance: Unbiased and Multi-bit Watermarking for Diffusion Language Models with Regret-based Remasking](https://md.research.elamur.ai/free/en/papers/yang-2026-you-can-have-second-chance/)** *(2026)* The paper addresses watermarking text produced by Diffusion Language Models (DLMs). Classic LLM watermarks assume tokens are generated left to right, so the preceding token can seed the watermark. DLMs instead unmask positions in arbitrary order. Prior adaptations of watermarking to DLMs, by Wu et al. and by Gloaguen…

## Co-authors here

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

- [Chi Chen](https://md.research.elamur.ai/free/en/authors/chi-chen/) ×2
- [Ke Yang](https://md.research.elamur.ai/free/en/authors/ke-yang/) ×2
- [Shuguang Yuan](https://md.research.elamur.ai/free/en/authors/shuguang-yuan/) ×2
- [Dongmei Zhang](https://md.research.elamur.ai/free/en/authors/dongmei-zhang/)
- [Jue Zhang](https://md.research.elamur.ai/free/en/authors/jue-zhang/)
- [Qi Wu](https://md.research.elamur.ai/free/en/authors/qi-wu/)
- [Qingwei Lin](https://md.research.elamur.ai/free/en/authors/qingwei-lin/)
- [Saravan Rajmohan](https://md.research.elamur.ai/free/en/authors/saravan-rajmohan/)

## 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
