🧑‍🔬 Chenlin Meng

🏛️ Affiliations

🎓Stanford UniversityStanford · United States2019–2025 · 21 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 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. Denoising Diffusion Implicit Models (2020 · 576 citations)
   Diffusion-based image generators such as DDPM produce samples rivaling GANs, but generation is very slow because the reverse chain must run through every step of a long noising process, typically T = 1000.
2. Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (2023 · 96 citations)
   Autoregressive models have long dominated generative modeling of discrete data such as text. Diffusion models excel on images but have lagged on language, partly because score matching, the theory behind continuous diffusion, has no well-performing discrete counterpart. Lou, Meng and Ermon (Stanford; ICML 2024)…

All works

38 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. Denoising Diffusion Implicit ModelsarXiv:2010.02502Jiaming Song, Chenlin Meng, Stefano Ermon2020 · 576 citations
2. SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations ↗arXiv (Cornell University) · no summary yetChenlin Meng et al.2021 · 428 citations
3. On Distillation of Guided Diffusion Models ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetChenlin Meng et al.2023 · 387 citations
4. Geography-Aware Self-Supervised Learning ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetKumar Ayush et al.2021 · 276 citations
5. SatMAE: Pre-Training Transformers for Temporal and Multi-Spectral Satellite Imagery ↗neural information processing systems · no summary yetYezhen Cong et al.2022 · 245 citations
6. Discrete Diffusion Modeling by Estimating the Ratios of the Data DistributionarXiv:2310.16834Aaron Lou, Chenlin Meng, Stefano Ermon2023 · 96 citations
7. Predicting Economic Development using Geolocated Wikipedia Articles ↗ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · no summary yetEvan Sheehan et al.2019 · 87 citations
8. Holistic Evaluation of Text-to-Image Models ↗neural information processing systems · no summary yetTony Lee et al.2023 · 77 citations
9. D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation ↗neural information processing systems · no summary yetAbhishek Sinha et al.2021 · 47 citations
10. DiffusionSat: A Generative Foundation Model for Satellite Imagery ↗arXiv (Cornell University) · no summary yetSamar Khanna et al.2023 · 34 citations
11. Learning to Interpret Satellite Images using Wikipedia ↗International Joint Conference on Artificial Intelligence · no summary yetBurak Uzkent et al.2019 · 34 citations
12. Concrete Score Matching: Generalized Score Matching for Discrete Data ↗neural information processing systems · no summary yetChenlin Meng et al.2022 · 27 citations
13. Dual Diffusion Implicit Bridges for Image-to-Image Translation ↗arXiv (Cornell University) · no summary yetXuan Su et al.2022 · 25 citations
14. Learning to Interpret Satellite Images in Global Scale Using Wikipedia ↗arXiv (Cornell University) · no summary yetBurak Uzkent et al.2019 · 23 citations
15. Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs ↗arXiv (Cornell University) · no summary yetLing Yang et al.2024 · 22 citations
16. MintNet: Building Invertible Neural Networks with Masked Convolutions ↗arXiv (Cornell University) · no summary yetYang Song, Chenlin Meng, Stefano Ermon2019 · 22 citations
17. IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetChenlin Meng et al.2022 · 21 citations
18. AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark ↗arXiv (Cornell University) · no summary yetWenhao Chai et al.2024 · 17 citations
19. SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning ↗arXiv (Cornell University) · no summary yetChristopher Yeh et al.2021 · 15 citations
20. Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis ↗arXiv (Cornell University) · no summary yetYutong He et al.2021 · 12 citations
21. DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLinqi Zhou et al.2024 · 11 citations
22. Estimating High Order Gradients of the Data Distribution by Denoising ↗arXiv (Cornell University) · no summary yetChenlin Meng et al.2021 · 10 citations
23. Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution ↗arXiv (Cornell University) · no summary yetYutong He et al.2022 · 8 citations
24. Consistency Flow Matching: Defining Straight Flows with Velocity Consistency ↗arXiv (Cornell University) · no summary yetLing Xiao Yang et al.2024 · 7 citations
25. D2C: Diffusion-Denoising Models for Few-shot Conditional Generation ↗arXiv (Cornell University) · no summary yetAbhishek Sinha et al.2021 · 6 citations

See all 38 works by Chenlin Meng →

🤝 Co-authors here

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

• Stefano Ermon ×2

Venues

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

• neural information processing systems ×6
• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×2
• ACM SIGGRAPH Courses
• ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD)
• IEEE/CVF International Conference on Computer Vision (ICCV)
• International Joint Conference on Artificial Intelligence
• Proceedings of the AAAI Conference on Artificial Intelligence

🔗 Cited by

Papers of our library cite their works 2,228 times (of the 149,439 papers whose bibliographies we read); 402 citing papers with a page here →.

Updated 2 November 2026

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