---
title: "Huan Liu — author profile and papers — Elamur Research"
description: "Huan Liu, Google: 5 papers on Elamur Research (2024–2026), h-index 101 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/huan-liu/"
---
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# Huan Liu

Huan Liu has 5 papers in our library, in 2024–2026, 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/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/); often with [Dawei Li](https://md.research.elamur.ai/free/en/authors/dawei-li/), [Zhen Tan](https://md.research.elamur.ai/free/en/authors/zhen-tan/), [Bohan Jiang](https://md.research.elamur.ai/free/en/authors/bohan-jiang/).

5 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5100338946) · [ORCID](https://orcid.org/0000-0002-3264-7904) · [Wikidata](https://www.wikidata.org/wiki/Q29472766) · [**h-index 101**](https://openalex.org/authors/A5100338946) · [794 works](https://openalex.org/works?filter=author.id:A5100338946) · [48,457 citations](https://openalex.org/works?filter=author.id:A5100338946&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/huan-liu/#papers) · [🔗 Cited 434 times in our library](https://md.research.elamur.ai/free/en/authors/huan-liu/cited-by/) · [11 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4784](https://md.research.elamur.ai/free/en/paper-stars/page/48/#star-4784)

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

## Affiliations

[🎓**Arizona State University** Tempe · United States 2000–2026 · 811 papersEmployment since 2000 · Regents Professor*current*](https://md.research.elamur.ai/free/en/universities/arizona-state-university/) · [🎓**Macquarie University** Sydney · Australia 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/macquarie-university/) · [🏢**Google** Mountain View · United States 2023–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/google/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2017 · 1 paper*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**National University of Singapore** Singapore · Singapore 1995–2017 · 48 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) · [🎓**University of Virginia** Charlottesville · United States 2020–2024 · 6 papers](https://md.research.elamur.ai/free/en/universities/university-of-virginia/) · [🎓**Emory University** Atlanta · United States 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/emory-university/) · [🎓**Xi'an Jiaotong University** Xi'an · China 2018–2020 · 2 papers](https://md.research.elamur.ai/free/en/universities/xi-an-jiaotong-university/) · [🎓**University of Southern California** Los Angeles · United States 1989 · 1 paperEducation until 1985](https://md.research.elamur.ai/free/en/universities/university-of-southern-california/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 1983Education until 1983](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 12 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 · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 4 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 · 4 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 · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/huan-liu/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/huan-liu/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/huan-liu/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Large Language Models for Data Annotation and Synthesis: A Survey](https://md.research.elamur.ai/free/en/papers/tan-2024-large-language-models-data-annotation/)** *(2024 · 262 citations)* Labeling or generating training data by hand is slow, expensive and often requires domain experts. This survey examines how LLMs such as GPT-4, Gemini and LLaMA-2 can automate that work. It is a literature review, so it reports no new experiments. The authors frame the setting with two roles: an annotator model A…
2. **[Contextualization Distillation from Large Language Model for Knowledge Graph Completion](https://md.research.elamur.ai/free/en/papers/li-2024-contextualization-distillation-large-language-model/)** *(2024 · 30 citations)* Pre-trained language models (PLMs) used for knowledge graph completion (KGC) depend on textual side information, such as Wikipedia articles or synset definitions.
3. **[Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens](https://md.research.elamur.ai/free/en/papers/zhao-2026-is-chain-thought-reasoning-llms/)** *(2026 · 21 citations)* The paper asks why chain-of-thought (CoT) prompting sometimes yields convincing step-by-step reasoning and sometimes collapses.
4. **[Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference](https://md.research.elamur.ai/free/en/papers/wang-2025-sibyl-empowering-empathetic-dialogue-generation/)** *(2025 · 9 citations)* LLM-based chatbots often fall short on empathy and emotional support in multi-turn conversations, even when they are given commonsense knowledge.
5. **[GLM-OCR Technical Report](https://md.research.elamur.ai/free/en/papers/duan-2026-glm-ocr-technical-report/)** *(2026 · 4 citations)* GLM-OCR addresses a practical gap in document understanding. Large multimodal LLMs read complex documents well but are too heavy and slow for high-concurrency servers or edge devices. Classic OCR pipelines, in contrast, struggle with intricate layouts. Zhipu AI and Tsinghua University present a compact 0.9B-parameter…

## All works

16 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

1. **[Unsupervised Fake News Detection on Social Media: A Generative Approach ↗](https://doi.org/10.1609/aaai.v33i01.33015644) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Shuo Yang et al.*2019 · 317 citations*
2. **[Content-Aware Point of Interest Recommendation on Location-Based Social Networks ↗](https://doi.org/10.1609/aaai.v29i1.9462) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Huiji Gao et al.*2015 · 308 citations*
3. **[From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge ↗](https://aclanthology.org/2025.emnlp-main.138/) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yet**Dawei Li et al.*2025 · 299 citations*
4. **[Next-item Recommendation with Sequential Hypergraphs ↗](https://doi.org/10.1145/3397271.3401133) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Jianling Wang et al.*2020 · 282 citations*
5. **[Big Scholarly Data: A Survey ↗](https://doi.org/10.1109/tbdata.2016.2641460) IEEE Transactions on Big Data · no summary yet**Feng Xia et al.*2016 · 266 citations*
6. **[Large Language Models for Data Annotation and Synthesis: A Survey](https://md.research.elamur.ai/free/en/papers/tan-2024-large-language-models-data-annotation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhen Tan, Dawei Li, Song Wang, et al.*2024 · 262 citations*
7. **[Be More with Less: Hypergraph Attention Networks for Inductive Text Classification ↗](https://aclanthology.org/2020.emnlp-main.399/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Kaize Ding et al.*2020 · 261 citations*
8. **[Radar: Residual Analysis for Anomaly Detection in Attributed Networks ↗](https://doi.org/10.24963/ijcai.2017/299) International Joint Conference on Artificial Intelligence · no summary yet**Jundong Li et al.*2017 · 249 citations*
9. **[Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey ↗](https://aclanthology.org/2024.naacl-long.219/) Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yet**Garima Agrawal et al.*2024 · 141 citations*
10. **[Feature subset selection bias for classification learning ↗](https://doi.org/10.1145/1143844.1143951) International Conference on Machine Learning · no summary yet**Surendra K. Singhi, Huan Liu*2006 · 108 citations*
11. **[Contextualization Distillation from Large Language Model for Knowledge Graph Completion](https://md.research.elamur.ai/free/en/papers/li-2024-contextualization-distillation-large-language-model/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dawei Li, Zhen Tan, Tianlong Chen, et al.*2024 · 30 citations*
12. **[Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens](https://md.research.elamur.ai/free/en/papers/zhao-2026-is-chain-thought-reasoning-llms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chengshuai Zhao, Zhen Tan, Pingchuan Ma, et al.*2026 · 21 citations*
13. **[Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference](https://md.research.elamur.ai/free/en/papers/wang-2025-sibyl-empowering-empathetic-dialogue-generation/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Lanrui Wang, Jiangnan Li, Chenxu Yang, et al.*2025 · 9 citations*
14. **[Learning to Selectively Learn for Weakly-supervised Paraphrase Generation ↗](https://aclanthology.org/2021.emnlp-main.480/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Kaize Ding et al.*2021 · 8 citations*
15. **[DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation ↗](https://arxiv.org/abs/2505.19504) arXiv:2505.19504 · no summary yet**Pingzhi Li et al.*2025 · 6 citations*
16. [**GLM-OCR Technical Report arXiv:2603.10910**Shuaiqi Duan, Yadong Xue, Weihan Wang, et al.*2026 · 4 citations*](https://md.research.elamur.ai/free/en/papers/duan-2026-glm-ocr-technical-report/)

## Co-authors here

12 of 18 co-authors with a page, the most papers together first.

- [Dawei Li](https://md.research.elamur.ai/free/en/authors/dawei-li/) ×3
- [Zhen Tan](https://md.research.elamur.ai/free/en/authors/zhen-tan/) ×3
- [Bohan Jiang](https://md.research.elamur.ai/free/en/authors/bohan-jiang/) ×2
- [Guo Wang](https://md.research.elamur.ai/free/en/authors/guo-wang/)
- [Guobing Gan](https://md.research.elamur.ai/free/en/authors/guobing-gan/)
- [Jingang Wang](https://md.research.elamur.ai/free/en/authors/jingang-wang/)
- [Jundong Li](https://md.research.elamur.ai/free/en/authors/jundong-li/)
- [Lu Cheng](https://md.research.elamur.ai/free/en/authors/lu-cheng/)
- [Shuaiqi Duan](https://md.research.elamur.ai/free/en/authors/shuaiqi-duan/)
- [Song Wang](https://md.research.elamur.ai/free/en/authors/song-wang/)
- [Tianlong Chen](https://md.research.elamur.ai/free/en/authors/tianlong-chen/)
- [Weihan Wang](https://md.research.elamur.ai/free/en/authors/weihan-wang/)

## Venues

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

- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×4: [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/)
- [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/), [Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/)
- Proceedings of the AAAI Conference on Artificial Intelligence ×2
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)
- [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/)
- IEEE Transactions on Big Data
- International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
- International Conference on Machine Learning
- International Joint Conference on Artificial Intelligence
- Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

## Cited by

Papers of our library cite their works 434 times (of the 149,439 papers whose bibliographies we read); [97 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/huan-liu/cited-by/).

Updated 30 October 2026