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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.

4 papers in our library · 2025–2026

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

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 more institutions on single bylines are not listed.

 Fields, topics and concepts

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

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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…
  2. 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.
  3. 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.
  4. 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

16 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. Deep Learning Based Recommender System ↗ACM Computing Surveys · no summary yetShuai Zhang et al.2019 · 1,547 citations
  2. Deep Learning for Sensor-based Human Activity Recognition ↗ACM Computing Surveys · no summary yetKaixuan Chen et al.2021 · 493 citations
  3. Quaternion Knowledge Graph Embeddings ↗arXiv:1904.10281 · no summary yetShuai Zhang et al.2019 · 333 citations
  4. 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
  5. 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
  6. The Future of False Information Detection on Social Media ↗ACM Computing Surveys · no summary yetBin Guo et al.2020 · 131 citations
  7. Zero-Shot Object Detection with Textual Descriptions ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetZhihui Li et al.2019 · 77 citations
  8. Next Item Recommendation with Self-Attention ↗arXiv (Cornell University) · no summary yetShuai Zhang et al.2018 · 50 citations
  9. 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
  10. Quaternion Collaborative Filtering for Recommendation ↗International Joint Conference on Artificial Intelligence · no summary yetShuai Zhang et al.2019 · 21 citations
  11. Holographic Factorization Machines for Recommendation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetYi Tay et al.2019 · 18 citations
  12. Deep Learning for Recommender Systems ↗Springer eBooks · no summary yetShuai Zhang et al.2021 · 16 citations

 Co-authors here

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

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 142 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

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