🧑‍🔬 Huan Liu

🏛️ Affiliations

🎓Arizona State UniversityTempe · United States2000–2026 · 811 papersEmployment since 2000 · Regents Professorcurrent🎓Macquarie UniversitySydney · Australia2026 · 3 paperscurrent🏢GoogleMountain View · United States2023–2026 · 2 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2017 · 1 papercurrent🎓National University of SingaporeSingapore · Singapore1995–2017 · 48 papers🎓University of VirginiaCharlottesville · United States2020–2024 · 6 papers🎓Emory UniversityAtlanta · United States2024–2025 · 2 papers🎓Xi'an Jiaotong UniversityXi'an · China2018–2020 · 2 papers🎓University of Southern CaliforniaLos Angeles · United States1989 · 1 paperEducation until 1985🎓Shanghai Jiao Tong UniversityShanghai · China1983Education until 1983

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Large Language Models for Data Annotation and Synthesis: A Survey (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 (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 (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 (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 (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 ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetShuo Yang et al.2019 · 317 citations
2. Content-Aware Point of Interest Recommendation on Location-Based Social Networks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetHuiji Gao et al.2015 · 308 citations
3. From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yetDawei Li et al.2025 · 299 citations
4. Next-item Recommendation with Sequential Hypergraphs ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetJianling Wang et al.2020 · 282 citations
5. Big Scholarly Data: A Survey ↗IEEE Transactions on Big Data · no summary yetFeng Xia et al.2016 · 266 citations
6. Large Language Models for Data Annotation and Synthesis: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Tan, Dawei Li, Song Wang, et al.2024 · 262 citations
7. Be More with Less: Hypergraph Attention Networks for Inductive Text Classification ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetKaize Ding et al.2020 · 261 citations
8. Radar: Residual Analysis for Anomaly Detection in Attributed Networks ↗International Joint Conference on Artificial Intelligence · no summary yetJundong Li et al.2017 · 249 citations
9. Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey ↗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 yetGarima Agrawal et al.2024 · 141 citations
10. Feature subset selection bias for classification learning ↗International Conference on Machine Learning · no summary yetSurendra K. Singhi, Huan Liu2006 · 108 citations
11. Contextualization Distillation from Large Language Model for Knowledge Graph CompletionFindings of the Association for Computational LinguisticsDawei Li, Zhen Tan, Tianlong Chen, et al.2024 · 30 citations
12. Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution LensFindings of the Association for Computational LinguisticsChengshuai 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 InferenceInternational Conference on Computational Linguistics (COLING)Lanrui Wang, Jiangnan Li, Chenxu Yang, et al.2025 · 9 citations
14. Learning to Selectively Learn for Weakly-supervised Paraphrase Generation ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetKaize Ding et al.2021 · 8 citations
15. DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation ↗arXiv:2505.19504 · no summary yetPingzhi Li et al.2025 · 6 citations
16. GLM-OCR Technical ReportarXiv:2603.10910Shuaiqi Duan, Yadong Xue, Weihan Wang, et al.2026 · 4 citations

🤝 Co-authors here

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

• Dawei Li ×3
• Zhen Tan ×3
• Bohan Jiang ×2
• Guo Wang
• Guobing Gan
• Jingang Wang
• Jundong Li
• Lu Cheng
• Shuaiqi Duan
• Song Wang
• Tianlong Chen
• 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) ×4: EMNLP 2024
• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026, Findings of the Association for Computational Linguistics 2024
• Proceedings of the AAAI Conference on Artificial Intelligence ×2
• Annual Meeting of the Association for Computational Linguistics (ACL)
• International Conference on Computational Linguistics (COLING): 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 →.

Updated 30 October 2026

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