🧑‍🔬 Kevin Chen-Chuan Chang

🏛️ Affiliations

🎓University of Illinois Urbana-ChampaignUrbana · United States2001–2026 · 170 papersEmploymentcurrent🔬Advanced Digital Sciences CenterSingapore · Singapore2012–2016 · 10 papers🔬National Center for Supercomputing ApplicationsSofia · Bulgaria2005–2021 · 7 papers🔬National Center for Supercomputing ApplicationsUrbana · United States2005–2021 · 7 papers🎓University of Illinois SystemUrbana · United States2005–2019 · 3 papers🎓Stanford UniversityStanford · United States1993–2001 · 3 papersEducation 1993–1995 · MS, Computer ScienceEducation 1995–2001 · PhD, Electrical Engineering🎓Hanoi University of Science and TechnologyHanoi · Vietnam2023 · 2 papers🎓Trường Đại học Khoa học và Công nghệ Hà NộiHanoi · Vietnam2023 · 2 papers🎓National Taiwan UniversityTaipei · Taiwan1986–2024 · 1 paperEducation 1986–1990 · BS, Electrical Engineering

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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. Towards Reasoning in Large Language Models: A Survey (2023 · 780 citations)
   This survey examines how far large language models can genuinely reason, a question that remained open when it was written.
2. Are Large Pre-Trained Language Models Leaking Your Personal Information? (2022 · 133 citations)
   The paper asks whether large pre-trained language models (PLMs) can expose personal data. It separates two abilities. Memorization means reproducing a piece of information when given the text that preceded it in training. Association means linking information to its owner, so an attacker who knows only a name can…

All works

5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Towards Reasoning in Large Language Models: A SurveyFindings of the Association for Computational LinguisticsJie Huang, Kevin Chen-Chuan Chang2023 · 780 citations
2. Are Large Pre-Trained Language Models Leaking Your Personal Information?arXiv:2205.12628Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang2022 · 133 citations
3. Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetZemin Liu et al.2017 · 66 citations
4. Expository Text Generation: Imitate, Retrieve, Paraphrase ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetNishant Balepur, Jie Huang, Kevin Chen-Chuan Chang2023 · 23 citations
5. Object Search: Supporting Structured Queries in Web Search Engines ↗Proceedings of the NAACL HLT 2010 Workshop on Semantic Search · no summary yetKim Pham et al.2010 · 2 citations

🤝 Co-authors here

1 co-author with a page, the most papers together first.

• Jie Huang ×2

Venues

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

• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2023
• Conference on Neural Information Processing Systems (NeurIPS)
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• Proceedings of the AAAI Conference on Artificial Intelligence
• Proceedings of the NAACL HLT 2010 Workshop on Semantic Search

🔗 Cited by

Papers of our library cite their works 667 times (of the 149,439 papers whose bibliographies we read); 177 citing papers with a page here →.

Updated 3 November 2026

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