Jing Yu
Jing Yu has 3 papers in our library, in 2026, most of them on Language models & pretraining, Knowledge graphs & ontologies, Information retrieval & search; often with Chi Chen, Ke Yang, Shuguang Yuan.
OpenAlex · h-index 0 · 5 works · 0 citations OpenAlex, 2026-10-14
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksComputer Vision and Pattern Recognition · 3 worksArtificial Intelligence · 2 worksHardware and Architecture · 2 worksInformation Systems · 1 work
🧭 Topics 3Research subjects and languages the work is about.Information retrieval & search · 1 workKnowledge graphs & ontologies · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric Video (2026)
Wearable cameras such as AR glasses could let people search their own past experiences with natural-language questions. - Knowledge-Infused Multi-Bit Watermarking for RAG Knowledge Bases (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… - You Can Have a Second Chance: Unbiased and Multi-bit Watermarking for Diffusion Language Models with Regret-based Remasking (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
Venues
- Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
Updated
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