Lina Yao
Lina Yao has 4 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning, Information retrieval & search; often with Chengkai Huang, Julian McAuley, Junda Wu.
OpenAlex · ORCID · Wikidata · h-index 60 · 570 works · 17,094 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 142 times in our library · 12 more in our library without a page yet · ⭐ Paper Stars ranking: #11739
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArts and Humanities · 3 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 worksInformation Systems · 2 works
🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 2 worksInformation retrieval & search · 1 workReasoning · 2 worksVision & language · 1 work
Works by year
2020s
Papers
- Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models (2025 · 5 citations)
Retrieval-augmented LLMs do not always benefit from external documents. When a model already knows the answer, retrieval adds cost and latency and can even hurt quality. Adaptive RAG (ARAG) tries to retrieve only when needed. Earlier ARAG methods either count entity frequencies in the pre-training corpus, which is… - CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing (2026)
The paper addresses indirect prompt injection, where an LLM obeys commands hidden inside supplied context (e.g., a retrieved passage) instead of answering the user's actual request. - MemWeaver: Weaving Hybrid Memories for Traceable Long-Horizon Agentic Reasoning (2026)
Conversational LLM agents that run across many sessions need memory that keeps track of when things happened, supports chaining several facts together, and lets answers be checked against what was actually said. - SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes (2026)
Multimodal LLMs often produce rationales that sound convincing but are not tied to what the image actually shows.
All works
- Deep Learning Based Recommender System ↗ACM Computing Surveys · no summary yetShuai Zhang et al.2019 · 1,547 citations
- Deep Learning for Sensor-based Human Activity Recognition ↗ACM Computing Surveys · no summary yetKaixuan Chen et al.2021 · 493 citations
- Quaternion Knowledge Graph Embeddings ↗arXiv:1904.10281 · no summary yetShuai Zhang et al.2019 · 333 citations
- STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting ↗International Joint Conference on Artificial Intelligence · no summary yetLei Bai et al.2019 · 289 citations
- When Object Detection Meets Knowledge Distillation: A Survey ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetZhihui Li et al.2023 · 186 citations
- The Future of False Information Detection on Social Media ↗ACM Computing Surveys · no summary yetBin Guo et al.2020 · 131 citations
- Zero-Shot Object Detection with Textual Descriptions ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetZhihui Li et al.2019 · 77 citations
- Next Item Recommendation with Self-Attention ↗arXiv (Cornell University) · no summary yetShuai Zhang et al.2018 · 50 citations
- DeepRec: An Open-source Toolkit for Deep Learning based Recommendation ↗International Joint Conference on Artificial Intelligence · no summary yetShuai Zhang et al.2019 · 28 citations
- Quaternion Collaborative Filtering for Recommendation ↗International Joint Conference on Artificial Intelligence · no summary yetShuai Zhang et al.2019 · 21 citations
- Holographic Factorization Machines for Recommendation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetYi Tay et al.2019 · 18 citations
- Deep Learning for Recommender Systems ↗Springer eBooks · no summary yetShuai Zhang et al.2021 · 16 citations
- Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language ModelsInternational Conference on Computational Linguistics (COLING)Chengkai Huang, Yu Xia, Rui Wang, et al.2025 · 5 citations
- CachePrune: Teaching LLMs What Not to Follow via KV-Cache EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Wang, Junda Wu, Yu Xia, et al.2026
- MemWeaver: Weaving Hybrid Memories for Traceable Long-Horizon Agentic ReasoningFindings of the Association for Computational LinguisticsJuexiang Ye, Xue Li, Yang Xinyu, et al.2026
- SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual ScenesAnnual Meeting of the Association for Computational Linguistics (ACL)Chuhan Wang, Xintong Li, Jennifer Yuntong Zhang, et al.2026
Co-authors here
- Chengkai Huang ×3
- Julian McAuley ×3
- Junda Wu ×2
- Rui Wang ×2
- Tong Yu ×2
- Yu Xia ×2
- Chuhan Wang
- Jingbo Shang
- Kaige Xie
- Ruiyi Zhang
- Ryan A. Rossi
- Xintong Li
Venues
- ACM Computing Surveys ×3
- International Joint Conference on Artificial Intelligence ×3
- Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2026 ×2
- Proceedings of the AAAI Conference on Artificial Intelligence ×2
- International Conference on Computational Linguistics (COLING): COLING 2025
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Springer eBooks
Cited by
Updated
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