---
title: "Irwin King — author profile and papers — Elamur Research"
description: "Irwin King, Chinese University of Hong Kong: 7 papers on Elamur Research (2021–2025), h-index 79 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/irwin-king/"
---
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# Irwin King

Irwin King has 7 papers in our library, in 2021–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/); often with [Philip S. Yu](https://md.research.elamur.ai/free/en/authors/philip-s-yu/), [Wenqian Cui](https://md.research.elamur.ai/free/en/authors/wenqian-cui/), [Xiaoqi Jiao](https://md.research.elamur.ai/free/en/authors/xiaoqi-jiao/).

7 papers in our library · 2021–2025

[OpenAlex](https://openalex.org/A5042251906) · [ORCID](https://orcid.org/0000-0001-8106-6447) · [Wikidata](https://www.wikidata.org/wiki/Q112403289) · [**h-index 79**](https://openalex.org/authors/A5042251906) · [692 works](https://openalex.org/works?filter=author.id:A5042251906) · [29,109 citations](https://openalex.org/works?filter=author.id:A5042251906&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 7 works in our library](https://md.research.elamur.ai/free/en/authors/irwin-king/#papers) · [🔗 Cited 530 times in our library](https://md.research.elamur.ai/free/en/authors/irwin-king/cited-by/) · [19 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4895](https://md.research.elamur.ai/free/en/paper-stars/page/49/#star-4895)

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

## Affiliations

[🎓**Chinese University of Hong Kong** Hong Kong · China 1993–2026 · 599 papersEmployment since 1993 · Professor, Computer Science & Engineering*current*](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) · [🎓**Chinese University of Hong Kong, Shenzhen** Shenzhen · China 2011–2019 · 37 papers](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong-shenzhen/) · [🏢**AT&T** Bedminster · United States 2011–2012 · 13 papers](https://md.research.elamur.ai/free/en/companies/at-t/) · [🏢**Salesforce** San Francisco · United States 2020 · 3 papers](https://md.research.elamur.ai/free/en/companies/salesforce/) · [🎓**University of Southern California** Los Angeles · United States 1986–2003 · 3 papersEducation 1986–1993 · PhD, MSc, Computer Science](https://md.research.elamur.ai/free/en/universities/university-of-southern-california/) · [🎓**National University of Singapore** Singapore · Singapore 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) · [🏢**Tencent** Shenzhen · China 2021–2023 · 2 papers](https://md.research.elamur.ai/free/en/companies/tencent/) · [🎓**University of Hong Kong** Pok Fu Lam · China 2017–2020 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/)

🏛️**AT&T Labs Research** San Francisco · [United States](https://md.research.elamur.ai/free/en/countries/united-states/) 2010–2012Employment 2010–2012

[🎓**University of California, Berkeley** Berkeley · United States 2011–2012Employment 2011–2012 · Visiting Professor, School of Information](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 6 Research subjects and languages the work is about.[Efficient models & compression · 2 works](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 4 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [English · 1 work](https://md.research.elamur.ai/free/en/topics/english/)

## Works by year

### 2020s

[**2025** 5 papers](https://md.research.elamur.ai/free/en/authors/irwin-king/year/2025/) · [**2021** 2 papers](https://md.research.elamur.ai/free/en/authors/irwin-king/year/2021/)

## Papers

The most cited first (OpenAlex and our library).

1. **[BinaryBERT: Pushing the Limit of BERT Quantization](https://md.research.elamur.ai/free/en/papers/bai-2021-binarybert-pushing-limit-bert-quantization/)** *(2021 · 166 citations)* Large pre-trained language models are hard to run on edge devices, and quantization shrinks them without redesigning the architecture.
2. **[Recent Advances in Speech Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/cui-2025-recent-advances-speech-language-models/)** *(2025 · 69 citations)* Voice assistants are often built as a cascade of three systems: speech recognition, a text LLM, and speech synthesis (the "ASR + LLM + TTS" pipeline).
3. **[Controllable Summarization with Constrained Markov Decision Process](https://md.research.elamur.ai/free/en/papers/chan-2021-controllable-summarization-constrained-markov-decision/)** *(2021 · 34 citations)* Token-based controllable summarizers such as ControlSum let a user request a property of the output, for example a word budget.
4. **[Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?](https://md.research.elamur.ai/free/en/papers/pan-2025-can-llm-watermarks-robustly-prevent/)** *(2025 · 11 citations)* Watermarking LLM outputs is promoted as a way to catch unauthorized knowledge distillation. It relies on "radioactivity": student models trained on watermarked teacher text inherit a detectable signal. This paper tests whether that signal survives a deliberate attacker. The authors propose three removal attacks:
5. **[Implicit Reasoning in Large Language Models: A Comprehensive Survey](https://md.research.elamur.ai/free/en/papers/li-2025-implicit-reasoning-large-language-models/)** *(2025 · 10 citations)* Chain-of-Thought prompting makes LLMs write out every intermediate step, which inflates output length, latency and cost.
6. **[Position: LLMs Can be Good Tutors in English Education](https://md.research.elamur.ai/free/en/papers/ye-2025-position-llms-can-be-good/)** *(2025 · 9 citations)* This is a position paper. It runs no experiments and introduces no dataset. The authors argue that current LLM uses in English teaching mostly reuse standard NLP task framings and ignore educational methodology. They contend that LLMs can work as tutors that support human teachers rather than replace them. They…
7. **[VoxEval: Benchmarking the Knowledge Understanding Capabilities of End-to-End Spoken Language Models](https://md.research.elamur.ai/free/en/papers/cui-2025-voxeval-benchmarking-knowledge-understanding-capabilities/)** *(2025 · 9 citations)* Spoken Language Models (SLMs) that both listen and reply in speech need broad world knowledge. Existing audio QA benchmarks still pair audio with text questions or score text answers, so they cannot test true speech-to-speech use or how stable a model is when the same question is spoken differently. The authors built…

## All works

26 works of theirs in our library, the most cited first; 7 with a page here, the others link their original until we summarise them.

1. **[Dynamic Key-Value Memory Networks for Knowledge Tracing ↗](https://doi.org/10.1145/3038912.3052580) Proceedings of the 26th International Conference on World Wide Web · no summary yet**Jiani Zhang et al.*2017 · 886 citations*
2. **[Learning to recommend with social trust ensemble ↗](https://doi.org/10.1145/1571941.1571978) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Hao Ma, Irwin King, Michael Rung-Tsong Lyu*2009 · 860 citations*
3. **[Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks ↗](https://doi.org/10.1609/aaai.v26i1.8100) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Cheng Chen et al.*572 citations*
4. **[SelFlow: Self-Supervised Learning of Optical Flow ↗](https://doi.org/10.1109/cvpr.2019.00470) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Pengpeng Liu et al.*2019 · 331 citations*
5. **[STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems ↗](https://doi.org/10.24963/ijcai.2019/592) International Joint Conference on Artificial Intelligence · no summary yet**Jiani Zhang et al.*2019 · 261 citations*
6. **[STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation ↗](https://doi.org/10.1609/aaai.v30i1.9986) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Shenglin Zhao et al.*2016 · 241 citations*
7. **[BinaryBERT: Pushing the Limit of BERT Quantization](https://md.research.elamur.ai/free/en/papers/bai-2021-binarybert-pushing-limit-bert-quantization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haoli Bai, Wei Zhang, Lu Hou, et al.*2021 · 166 citations*
8. **[Topic Memory Networks for Short Text Classification ↗](https://aclanthology.org/D18-1351/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jichuan Zeng et al.*2018 · 163 citations*
9. **[Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards ↗](https://aclanthology.org/P19-1208/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Hou Pong Chan et al.*2019 · 128 citations*
10. **[Topic-Aware Neural Keyphrase Generation for Social Media Language ↗](https://aclanthology.org/P19-1240/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Yue Wang et al.*2019 · 110 citations*
11. **[VD-BERT: A Unified Vision and Dialog Transformer with BERT ↗](https://aclanthology.org/2020.emnlp-main.269/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Yue Wang et al.*2020 · 105 citations*
12. **[Exclusive Hierarchical Decoding for Deep Keyphrase Generation ↗](https://aclanthology.org/2020.acl-main.103/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Wang Chen et al.*2020 · 98 citations*
13. **[HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition ↗](https://aclanthology.org/N19-1037/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Wenxiang Jiao et al.*2019 · 91 citations*
14. **[A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well? ↗](https://arxiv.org/abs/2503.24235) arXiv:2503.24235 · no summary yet**Qiyuan Zhang et al.*2025 · 79 citations*
15. **[An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction ↗](https://aclanthology.org/N19-1292/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Wang Chen et al.*2019 · 77 citations*
16. **[Improving Question Generation With to the Point Context ↗](https://aclanthology.org/D19-1317/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Jingjing Li et al.*2019 · 71 citations*
17. **[Recent Advances in Speech Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/cui-2025-recent-advances-speech-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenqian Cui, Dianzhi Yu, Xiaoqi Jiao, et al.*2025 · 69 citations*
18. **[Photon: A Robust Cross-Domain Text-to-SQL System ↗](https://aclanthology.org/2020.acl-demos.24/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations · no summary yet**Jichuan Zeng et al.*2020 · 66 citations*
19. **[Non-monotonic feature selection ↗](https://doi.org/10.1145/1553374.1553520) International Conference on Machine Learning · no summary yet**Zenglin Xu et al.*2009 · 65 citations*
20. **[Entropy-biased models for query representation on the click graph ↗](https://doi.org/10.1145/1571941.1572001) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Hongbo Deng, Irwin King, Michael Rung-Tsong Lyu*2009 · 59 citations*
21. **[Controllable Summarization with Constrained Markov Decision Process](https://md.research.elamur.ai/free/en/papers/chan-2021-controllable-summarization-constrained-markov-decision/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Hou Pong Chan, Lu Wang, Irwin King*2021 · 34 citations*
22. **[Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading ↗](https://aclanthology.org/2020.acl-main.88/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Yifan Gao et al.*2020 · 26 citations*
23. **[Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?](https://md.research.elamur.ai/free/en/papers/pan-2025-can-llm-watermarks-robustly-prevent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Leyi Pan, Aiwei Liu, Shiyu Huang, et al.*2025 · 11 citations*
24. [**Implicit Reasoning in Large Language Models: A Comprehensive Survey arXiv:2509.02350**Jindong Li, Yali Fu, Li Fan, et al.*2025 · 10 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-implicit-reasoning-large-language-models/)
25. **[Position: LLMs Can be Good Tutors in English Education](https://md.research.elamur.ai/free/en/papers/ye-2025-position-llms-can-be-good/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jingheng Ye, Shen Wang, Deqing Zou, et al.*2025 · 9 citations*

[See all 26 works by Irwin King →](https://md.research.elamur.ai/free/en/authors/irwin-king/works/)

## Co-authors here

12 of 33 co-authors with a page, the most papers together first.

- [Philip S. Yu](https://md.research.elamur.ai/free/en/authors/philip-s-yu/) ×2
- [Wenqian Cui](https://md.research.elamur.ai/free/en/authors/wenqian-cui/) ×2
- [Xiaoqi Jiao](https://md.research.elamur.ai/free/en/authors/xiaoqi-jiao/) ×2
- [Ziqiao Meng](https://md.research.elamur.ai/free/en/authors/ziqiao-meng/) ×2
- [Aiwei Liu](https://md.research.elamur.ai/free/en/authors/aiwei-liu/)
- [Chengwei Qin](https://md.research.elamur.ai/free/en/authors/chengwei-qin/)
- [Deqing Zou](https://md.research.elamur.ai/free/en/authors/deqing-zou/)
- [Hai-Tao Zheng](https://md.research.elamur.ai/free/en/authors/hai-tao-zheng/)
- [Hou Pong Chan](https://md.research.elamur.ai/free/en/authors/hou-pong-chan/)
- [Jiahong Liu](https://md.research.elamur.ai/free/en/authors/jiahong-liu/)
- [Jindong Li](https://md.research.elamur.ai/free/en/authors/jindong-li/)
- [Jingheng Ye](https://md.research.elamur.ai/free/en/authors/jingheng-ye/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×8: [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×3, [ACL 2021](https://md.research.elamur.ai/free/en/venues/acl/2021/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×3: [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)
- International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) ×2
- Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) ×2
- Proceedings of the AAAI Conference on Artificial Intelligence ×2
- [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2021](https://md.research.elamur.ai/free/en/venues/tacl/2021/)
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- International Conference on Machine Learning
- International Joint Conference on Artificial Intelligence
- Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
- Proceedings of the 26th International Conference on World Wide Web
- Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations

## Cited by

Papers of our library cite their works 530 times (of the 149,439 papers whose bibliographies we read); [63 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/irwin-king/cited-by/).

Updated 31 October 2026