🧑‍🔬 Mark I-Cheng Chen

🏛️ Affiliations

🏥Tan Tock Seng HospitalSingapore · Singapore2001–2026 · 89 paperscurrent🎓Columbia UniversityNew York · United States2026 · 2 paperscurrent🎓National University of SingaporeSingapore · Singapore2003–2024 · 105 papers🏥National Centre for Infectious DiseasesSingapore · Singapore2001–2025 · 103 papers🎓National University Health SystemSingapore · Singapore2013–2023 · 36 papers🎓Duke-NUS Medical SchoolSingapore · Singapore2009–2022 · 15 papers🔬Sandia National LaboratoriesAlbuquerque · United States2020–2025 · 14 papers🏛️Ministry of HealthSingapore · Singapore2019–2023 · 9 papers🎓University of WashingtonSeattle · United States2005–2011 · 9 papers🏢Taiwan Semiconductor Manufacturing CompanyHsinchu · Taiwan2016–2020 · 8 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 33 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. Training Verifiers to Solve Math Word Problems (2021 · 3,796 citations)
   Large language models still make fatal mistakes on reasoning that needs several arithmetic steps. One cause is that a left-to-right generator cannot repair an early slip. The authors address this with a new benchmark and a reranking method. GSM8K holds 8.5K grade-school word problems written by people, split 7.5K for…
2. Hierarchical Text-Conditional Image Generation with CLIP Latents (2022 · 2,713 citations)
   The paper addresses text-to-image generation by building on CLIP, a model that maps images and captions into a shared embedding space.
3. Evaluating Large Language Models Trained on Code (2021 · 2,659 citations)
   Code generation models were usually scored by how closely their output text matched a reference, for example with BLEU.
4. Zero-Shot Text-to-Image Generation (2021 · 1,528 citations)
   Earlier text-to-image systems improved mainly through hand-designed modeling choices tuned to small benchmarks such as MS-COCO and CUB.
5. Scaling Laws for Autoregressive Generative Modeling (2020 · 277 citations)
   The authors from OpenAI examine whether the scaling laws previously found for language models also hold for other data types.
6. Efficient Training of Language Models to Fill in the Middle (2022 · 144 citations)
   Causal decoder-only language models such as the GPT family generate text strictly left to right. They cannot use context that follows the insertion point, which limits tasks like editing code inside an existing file. The authors (OpenAI) teach such models to fill in the middle (FIM) through data reformatting alone…

All works

26 works of theirs in our library, the most cited first; 6 with a page here, the others link their original until we summarise them.

1. Training Verifiers to Solve Math Word ProblemsarXiv:2110.14168Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, et al.2021 · 3,796 citations
2. Hierarchical Text-Conditional Image Generation with CLIP LatentsarXiv:2204.06125Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, et al.2022 · 2,713 citations
3. Evaluating Large Language Models Trained on CodearXiv:2107.03374Mark Chen, Jerry Tworek, Heewoo Jun, et al.2021 · 2,659 citations
4. Zero-Shot Text-to-Image GenerationarXiv:2102.12092Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, et al.2021 · 1,528 citations
5. GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models ↗arXiv (Cornell University) · no summary yetAlex Nichol et al.2021 · 1,180 citations
6. Generative Pretraining From Pixels ↗International Conference on Machine Learning · no summary yetMark I-Cheng Chen et al.2020 · 614 citations
7. Scaling Laws for Autoregressive Generative ModelingarXiv:2010.14701Tom Henighan, Jared Kaplan, Mor Katz, et al.2020 · 277 citations
8. Consistency Models ↗arXiv (Cornell University) · no summary yetYang Song et al.2023 · 235 citations
9. Point-E: A System for Generating 3D Point Clouds from Complex Prompts ↗arXiv:2212.08751 · no summary yetAlex Nichol et al.2022 · 185 citations
10. Efficient Training of Language Models to Fill in the MiddlearXiv:2207.14255Mohammad Bavarian, Heewoo Jun, Nikolas Tezak, et al.2022 · 144 citations
11. Competitive Programming with Large Reasoning Models ↗arXiv:2502.06807 · no summary yetOpenAI: Ahmed El-Kishky et al.2025 · 68 citations
12. Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety ↗arXiv (Cornell University) · no summary yetTomek Korbak et al.2025 · 35 citations
13. Distribution Augmentation for Generative Modeling ↗International Conference on Machine Learning · no summary yetHeewoo Jun et al.2020 · 30 citations
14. Parsing Line Chart Images Using Linear Programming ↗IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · no summary yetHajime Kato et al.2022 · 16 citations
15. Identifying FinTech Innovations Using BERT ↗IEEE International Conference on Big Data (BigData) · no summary yetDoina Caragea et al.2020 · 16 citations
16. An Individual-Based Model of Influenza in Nosocomial Environments ↗Lecture notes in computer science · no summary yetBoon Som Ong et al.2008 · 14 citations
17. When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA ↗arXiv:2308.06849 · no summary yetHongxiang Fan et al.2023 · 9 citations
18. An extensible micro-world for learning in the data networking professions ↗Information Sciences · no summary yetDennis C. Frezzo et al.2013 · 5 citations
19. Protocol failures related to order of encryption and signature computation of discrete logarithms in RSA groups ↗Lecture notes in computer science · no summary yetMark I-Cheng Chen, Eric Hughes1998 · 4 citations
20. Microfluidic Platforms for Nanoparticle Delivery and Nanomanufacturing in Biology and Medicine ↗Springer eBooks · no summary yetOwen Y. Loh et al.2009 · 1 citation
21. Game Review ↗E-Learning and Digital Media · no summary yetMark I-Cheng Chen2008 · 1 citation
22. CityOS: Privacy Architecture for Urban Sensing ↗arXiv (Cornell University) · no summary yetGiorgio Cavicchioli et al.2026
23. Big Bird: Resilient Privacy Budgeting Across Untrusted Web Domains ↗ACM SIGOPS Symposium on Operating Systems Principles (SOSP) · no summary yetPierre Tholoniat et al.2026
24. Conditional Augmentation for Generative Modeling ↗International Conference on Machine Learning · no summary yetHeewoo Jun et al.2020
25. How a New Actor Was Temporarily Enrolled Into the Network of Game Playing. ↗Computer Supported Collaborative Learning · no summary yetMark I-Cheng Chen2011

See all 26 works by Mark I-Cheng Chen →

🤝 Co-authors here

12 of 29 co-authors with a page, the most papers together first.

• Heewoo Jun ×4
• Jerry Tworek ×3
• Aditya Ramesh ×2
• Christopher Hesse ×2
• Jared Kaplan ×2
• John Schulman ×2
• Mohammad Bavarian ×2
• Prafulla Dhariwal ×2
• Scott Gray ×2
• Alec Radford
• Alex Ray
• Benjamin Mann

Venues

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

• International Conference on Machine Learning ×3
• Lecture notes in computer science ×2
• ACM SIGOPS Symposium on Operating Systems Principles (SOSP)
• Australasian Conference on Information Security and Privacy
• Computer Supported Collaborative Learning
• E-Learning and Digital Media
• IEEE International Conference on Big Data (BigData)
• IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
• Information Sciences
• Springer eBooks

🔗 Cited by

Papers of our library cite their works 20,687 times (of the 149,439 papers whose bibliographies we read); 2,701 citing papers with a page here →.

Updated 30 October 2026

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