---
title: "Chenlin Meng · Stanford University — author profile and papers"
description: "Chenlin Meng, Stanford University: 2 papers on Elamur Research (2020–2023), h-index 15 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/chenlin-meng/"
---
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# Chenlin Meng

Chenlin Meng has 2 papers in our library, in 2020–2023; often with [Stefano Ermon](https://md.research.elamur.ai/free/en/authors/stefano-ermon/).

2 papers in our library · 2020–2023

[OpenAlex](https://openalex.org/A5103112611) · [ORCID](https://orcid.org/0000-0001-8185-7716) · [**h-index 15**](https://openalex.org/authors/A5103112611) · [56 works](https://openalex.org/works?filter=author.id:A5103112611) · [2,213 citations](https://openalex.org/works?filter=author.id:A5103112611&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/chenlin-meng/#papers) · [🔗 Cited 2,228 times in our library](https://md.research.elamur.ai/free/en/authors/chenlin-meng/cited-by/) · [36 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3539](https://md.research.elamur.ai/free/en/paper-stars/page/36/#star-3539)

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

## Affiliations

[🎓**Stanford University** Stanford · United States 2019–2025 · 21 papers*current*](https://md.research.elamur.ai/free/en/universities/stanford-university/)

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.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

## Works by year

### 2020s

[**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/chenlin-meng/year/2023/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/chenlin-meng/year/2020/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Denoising Diffusion Implicit Models](https://md.research.elamur.ai/free/en/papers/song-2020-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](https://md.research.elamur.ai/free/en/papers/lou-2023-discrete-diffusion-modeling-estimating-ratios/)** *(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 Models arXiv:2010.02502**Jiaming Song, Chenlin Meng, Stefano Ermon*2020 · 576 citations*](https://md.research.elamur.ai/free/en/papers/song-2020-denoising-diffusion-implicit-models/)
2. **[SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations ↗](https://arxiv.org/abs/2108.01073) arXiv (Cornell University) · no summary yet**Chenlin Meng et al.*2021 · 428 citations*
3. **[On Distillation of Guided Diffusion Models ↗](https://doi.org/10.1109/cvpr52729.2023.01374) 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**Chenlin Meng et al.*2023 · 387 citations*
4. **[Geography-Aware Self-Supervised Learning ↗](https://doi.org/10.1109/iccv48922.2021.01002) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Kumar Ayush et al.*2021 · 276 citations*
5. **[SatMAE: Pre-Training Transformers for Temporal and Multi-Spectral Satellite Imagery ↗](https://doi.org/10.52202/068431-0015) neural information processing systems · no summary yet**Yezhen Cong et al.*2022 · 245 citations*
6. [**Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution arXiv:2310.16834**Aaron Lou, Chenlin Meng, Stefano Ermon*2023 · 96 citations*](https://md.research.elamur.ai/free/en/papers/lou-2023-discrete-diffusion-modeling-estimating-ratios/)
7. **[Predicting Economic Development using Geolocated Wikipedia Articles ↗](https://doi.org/10.1145/3292500.3330784) ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · no summary yet**Evan Sheehan et al.*2019 · 87 citations*
8. **[Holistic Evaluation of Text-to-Image Models ↗](https://doi.org/10.52202/075280-3067) neural information processing systems · no summary yet**Tony Lee et al.*2023 · 77 citations*
9. **[D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation ↗](https://openalex.org/W3212280254) neural information processing systems · no summary yet**Abhishek Sinha et al.*2021 · 47 citations*
10. **[DiffusionSat: A Generative Foundation Model for Satellite Imagery ↗](https://arxiv.org/abs/2312.03606) arXiv (Cornell University) · no summary yet**Samar Khanna et al.*2023 · 34 citations*
11. **[Learning to Interpret Satellite Images using Wikipedia ↗](https://doi.org/10.24963/ijcai.2019/502) International Joint Conference on Artificial Intelligence · no summary yet**Burak Uzkent et al.*2019 · 34 citations*
12. **[Concrete Score Matching: Generalized Score Matching for Discrete Data ↗](https://doi.org/10.52202/068431-2502) neural information processing systems · no summary yet**Chenlin Meng et al.*2022 · 27 citations*
13. **[Dual Diffusion Implicit Bridges for Image-to-Image Translation ↗](https://arxiv.org/abs/2203.08382) arXiv (Cornell University) · no summary yet**Xuan Su et al.*2022 · 25 citations*
14. **[Learning to Interpret Satellite Images in Global Scale Using Wikipedia ↗](https://arxiv.org/abs/1905.02506) arXiv (Cornell University) · no summary yet**Burak Uzkent et al.*2019 · 23 citations*
15. **[Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs ↗](https://arxiv.org/abs/2401.11708) arXiv (Cornell University) · no summary yet**Ling Yang et al.*2024 · 22 citations*
16. **[MintNet: Building Invertible Neural Networks with Masked Convolutions ↗](https://arxiv.org/abs/1907.07945) arXiv (Cornell University) · no summary yet**Yang Song, Chenlin Meng, Stefano Ermon*2019 · 22 citations*
17. **[IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling ↗](https://doi.org/10.1609/aaai.v36i11.21462) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Chenlin Meng et al.*2022 · 21 citations*
18. **[AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark ↗](https://arxiv.org/abs/2410.03051) arXiv (Cornell University) · no summary yet**Wenhao Chai et al.*2024 · 17 citations*
19. **[SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning ↗](https://arxiv.org/abs/2111.04724) arXiv (Cornell University) · no summary yet**Christopher Yeh et al.*2021 · 15 citations*
20. **[Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis ↗](https://arxiv.org/abs/2106.11485) arXiv (Cornell University) · no summary yet**Yutong He et al.*2021 · 12 citations*
21. **[DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling ↗](https://doi.org/10.1109/cvpr52733.2024.00441) 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**Linqi Zhou et al.*2024 · 11 citations*
22. **[Estimating High Order Gradients of the Data Distribution by Denoising ↗](https://arxiv.org/abs/2111.04726) arXiv (Cornell University) · no summary yet**Chenlin Meng et al.*2021 · 10 citations*
23. **[Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution ↗](https://arxiv.org/abs/2204.01736) arXiv (Cornell University) · no summary yet**Yutong He et al.*2022 · 8 citations*
24. **[Consistency Flow Matching: Defining Straight Flows with Velocity Consistency ↗](https://arxiv.org/abs/2407.02398) arXiv (Cornell University) · no summary yet**Ling Xiao Yang et al.*2024 · 7 citations*
25. **[D2C: Diffusion-Denoising Models for Few-shot Conditional Generation ↗](https://arxiv.org/abs/2106.06819) arXiv (Cornell University) · no summary yet**Abhishek Sinha et al.*2021 · 6 citations*

[See all 38 works by Chenlin Meng →](https://md.research.elamur.ai/free/en/authors/chenlin-meng/works/)

## Co-authors here

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

- [Stefano Ermon](https://md.research.elamur.ai/free/en/authors/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 →](https://md.research.elamur.ai/free/en/authors/chenlin-meng/cited-by/).

Updated 2 November 2026