---
title: "Lina Yao — author profile and papers — Elamur Research"
description: "Lina Yao, Commonwealth Scientific and Industrial Research Organisation: 4 papers on Elamur Research (2025–2026), h-index 60…"
canonical: "https://research.elamur.ai/free/en/authors/lina-yao/"
---
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# Lina Yao

Lina Yao has 4 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Chengkai Huang](https://md.research.elamur.ai/free/en/authors/chengkai-huang/), [Julian McAuley](https://md.research.elamur.ai/free/en/authors/julian-mcauley/), [Junda Wu](https://md.research.elamur.ai/free/en/authors/junda-wu/).

4 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5052731721) · [ORCID](https://orcid.org/0000-0002-4149-839X) · [Wikidata](https://www.wikidata.org/wiki/Q130907805) · [**h-index 60**](https://openalex.org/authors/A5052731721) · [570 works](https://openalex.org/works?filter=author.id:A5052731721) · [17,094 citations](https://openalex.org/works?filter=author.id:A5052731721&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/lina-yao/#papers) · [🔗 Cited 142 times in our library](https://md.research.elamur.ai/free/en/authors/lina-yao/cited-by/) · [12 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #11739](https://md.research.elamur.ai/free/en/paper-stars/page/118/#star-11739)

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

## Affiliations

[🎓**UNSW Sydney** Sydney · Australia 2015–2026 · 420 papersEmployment 2016–2018 · Lecturer, Computer Science and EngineeringEmployment 2018–2020 · Senior Lecturer, Computer Science and EngineeringEmployment 2021–2022 · Associate Professor, Computer Science and EngineeringEmployment since 2022 · Conjoint Full Professor, Computer Science and EngineeringEmployment since 2025 · Full Professor, School of Computer Science and Engineering*current*](https://md.research.elamur.ai/free/en/universities/unsw-sydney/) · [🔬**Data61** Sydney · Australia 2022–2026 · 118 papers*current*](https://md.research.elamur.ai/free/en/labs/data61/) · [🏛️**Commonwealth Scientific and Industrial Research Organisation** Canberra · Australia 2022–2026 · 117 papersEmployment since 2022 · Senior Principal Research Scientist and Science Lead, Data61*current*](https://md.research.elamur.ai/free/en/government/commonwealth-scientific-and-industrial-research-organisation/) · [🎓**The University of Adelaide** Adelaide · Australia 2011–2017 · 47 papersEmployment 2014 · ARC Research Fellow, Computer ScienceEmployment 2015 · Lecturer, Computer Science](https://md.research.elamur.ai/free/en/universities/the-university-of-adelaide/) · [🎓**Macquarie University** Sydney · Australia 2023–2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/macquarie-university/) · [🎓**Zhengzhou University of Light Industry** Zhengzhou · China 2008–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/zhengzhou-university-of-light-industry/) · [🎓**Xi'an Polytechnic University** Xi'an · China 2023–2025 · 3 papers](https://ror.org/03442p831) · [🏛️**Chinese Academy of Sciences** Beijing · China 2015–2018 · 3 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Geographic Sciences and Natural Resources Research** Beijing · China 2015–2018 · 3 papers](https://ror.org/04t1cdb72) · [🎓**Hunan Radio and Television University** Changsha · China 2010–2015 · 3 papers](https://ror.org/00xdme738)

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.

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/lina-yao/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/lina-yao/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models](https://md.research.elamur.ai/free/en/papers/huang-2025-embedding-informed-adaptive-retrieval-augmented/)** *(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](https://md.research.elamur.ai/free/en/papers/wang-2026-cacheprune-teaching-llms-what-not/)** *(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](https://md.research.elamur.ai/free/en/papers/ye-2026-memweaver-weaving-hybrid-memories-traceable/)** *(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](https://md.research.elamur.ai/free/en/papers/wang-2026-scenealign-aligning-multimodal-reasoning-scene/)** *(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 ↗](https://doi.org/10.1145/3285029) ACM Computing Surveys · no summary yet**Shuai Zhang et al.*2019 · 1,547 citations*
2. **[Deep Learning for Sensor-based Human Activity Recognition ↗](https://doi.org/10.1145/3447744) ACM Computing Surveys · no summary yet**Kaixuan Chen et al.*2021 · 493 citations*
3. **[Quaternion Knowledge Graph Embeddings ↗](https://arxiv.org/abs/1904.10281) arXiv:1904.10281 · no summary yet**Shuai Zhang et al.*2019 · 333 citations*
4. **[STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting ↗](https://doi.org/10.24963/ijcai.2019/274) International Joint Conference on Artificial Intelligence · no summary yet**Lei Bai et al.*2019 · 289 citations*
5. **[When Object Detection Meets Knowledge Distillation: A Survey ↗](https://doi.org/10.1109/tpami.2023.3257546) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Zhihui Li et al.*2023 · 186 citations*
6. **[The Future of False Information Detection on Social Media ↗](https://doi.org/10.1145/3393880) ACM Computing Surveys · no summary yet**Bin Guo et al.*2020 · 131 citations*
7. **[Zero-Shot Object Detection with Textual Descriptions ↗](https://doi.org/10.1609/aaai.v33i01.33018690) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Zhihui Li et al.*2019 · 77 citations*
8. **[Next Item Recommendation with Self-Attention ↗](https://arxiv.org/abs/1808.06414) arXiv (Cornell University) · no summary yet**Shuai Zhang et al.*2018 · 50 citations*
9. **[DeepRec: An Open-source Toolkit for Deep Learning based Recommendation ↗](https://doi.org/10.24963/ijcai.2019/963) International Joint Conference on Artificial Intelligence · no summary yet**Shuai Zhang et al.*2019 · 28 citations*
10. **[Quaternion Collaborative Filtering for Recommendation ↗](https://doi.org/10.24963/ijcai.2019/599) International Joint Conference on Artificial Intelligence · no summary yet**Shuai Zhang et al.*2019 · 21 citations*
11. **[Holographic Factorization Machines for Recommendation ↗](https://doi.org/10.1609/aaai.v33i01.33015143) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Yi Tay et al.*2019 · 18 citations*
12. **[Deep Learning for Recommender Systems ↗](https://doi.org/10.1007/978-1-0716-2197-4_5) Springer eBooks · no summary yet**Shuai Zhang et al.*2021 · 16 citations*
13. **[Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models](https://md.research.elamur.ai/free/en/papers/huang-2025-embedding-informed-adaptive-retrieval-augmented/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Chengkai Huang, Yu Xia, Rui Wang, et al.*2025 · 5 citations*
14. **[CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing](https://md.research.elamur.ai/free/en/papers/wang-2026-cacheprune-teaching-llms-what-not/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rui Wang, Junda Wu, Yu Xia, et al.*2026*
15. **[MemWeaver: Weaving Hybrid Memories for Traceable Long-Horizon Agentic Reasoning](https://md.research.elamur.ai/free/en/papers/ye-2026-memweaver-weaving-hybrid-memories-traceable/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Juexiang Ye, Xue Li, Yang Xinyu, et al.*2026*
16. **[SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes](https://md.research.elamur.ai/free/en/papers/wang-2026-scenealign-aligning-multimodal-reasoning-scene/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chuhan Wang, Xintong Li, Jennifer Yuntong Zhang, et al.*2026*

## Co-authors here

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

- [Chengkai Huang](https://md.research.elamur.ai/free/en/authors/chengkai-huang/) ×3
- [Julian McAuley](https://md.research.elamur.ai/free/en/authors/julian-mcauley/) ×3
- [Junda Wu](https://md.research.elamur.ai/free/en/authors/junda-wu/) ×2
- [Rui Wang](https://md.research.elamur.ai/free/en/authors/rui-wang/) ×2
- [Tong Yu](https://md.research.elamur.ai/free/en/authors/tong-yu/) ×2
- [Yu Xia](https://md.research.elamur.ai/free/en/authors/yu-xia/) ×2
- [Chuhan Wang](https://md.research.elamur.ai/free/en/authors/chuhan-wang/)
- [Jingbo Shang](https://md.research.elamur.ai/free/en/authors/jingbo-shang/)
- [Kaige Xie](https://md.research.elamur.ai/free/en/authors/kaige-xie/)
- [Ruiyi Zhang](https://md.research.elamur.ai/free/en/authors/ruiyi-zhang/)
- [Ryan A. Rossi](https://md.research.elamur.ai/free/en/authors/ryan-a-rossi/)
- [Xintong Li](https://md.research.elamur.ai/free/en/authors/xintong-li/)

## Venues

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

- ACM Computing Surveys ×3
- International Joint Conference on Artificial Intelligence ×3
- [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
- Proceedings of the AAAI Conference on Artificial Intelligence ×2
- [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/)
- [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/)
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Springer eBooks

## 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 →](https://md.research.elamur.ai/free/en/authors/lina-yao/cited-by/).

Updated 2 November 2026