Chenlin Meng

1.8k total citations · 1 hit paper
17 papers, 210 citations indexed

About

Chenlin Meng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Chenlin Meng has authored 17 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Chenlin Meng's work include Generative Adversarial Networks and Image Synthesis (5 papers), Model Reduction and Neural Networks (3 papers) and Advanced Neural Network Applications (2 papers). Chenlin Meng is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (5 papers), Model Reduction and Neural Networks (3 papers) and Advanced Neural Network Applications (2 papers). Chenlin Meng collaborates with scholars based in United States, Belgium and Canada. Chenlin Meng's co-authors include Stefano Ermon, Jonathan Ho, Robin Rombach, Ruiqi Gao, Diederik P. Kingma, Tim Salimans, Jiaming Song, Abhishek Sinha, David B. Lobell and Marshall Burke and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Expert and arXiv (Cornell University).

In The Last Decade

Chenlin Meng

14 papers receiving 199 citations

Hit Papers

On Distillation of Guided Diffusion Models 2023 2026 2024 2025 2023 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. On Distillation of Guided Diffusion Models
    2023 117 citations Chenlin Meng, Robin Rombach et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chenlin Meng United States 6 120 52 22 20 18 17 210
Jiaqi Lin China 8 145 1.2× 108 2.1× 27 1.2× 20 1.0× 16 0.9× 26 256
Dong Huk Park United States 6 217 1.8× 67 1.3× 7 0.3× 11 0.6× 20 1.1× 8 267
Yaxing Wang China 6 134 1.1× 52 1.0× 4 0.2× 14 0.7× 12 0.7× 16 184
Xingqian Xu United States 8 194 1.6× 59 1.1× 4 0.2× 65 3.3× 23 1.3× 14 321
Axel Sauer Germany 3 138 1.1× 57 1.1× 9 0.4× 8 0.4× 25 1.4× 3 179
Samaneh Azadi United States 7 133 1.1× 60 1.2× 5 0.2× 11 0.6× 22 1.2× 11 204
J. A. Caballero Spain 4 81 0.7× 75 1.4× 6 0.3× 13 0.7× 4 0.2× 10 193
Luke Metz United States 5 139 1.2× 104 2.0× 20 0.9× 8 0.4× 5 0.3× 12 223
Gwanghyun Kim South Korea 3 227 1.9× 62 1.2× 6 0.3× 15 0.8× 51 2.8× 3 283
Srikumar Sastry United States 4 74 0.6× 42 0.8× 6 0.3× 24 1.2× 2 0.1× 13 203

Countries citing papers authored by Chenlin Meng

Since Specialization
Citations

This map shows the geographic impact of Chenlin Meng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chenlin Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenlin Meng more than expected).

Fields of papers citing papers by Chenlin Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chenlin Meng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chenlin Meng. The network helps show where Chenlin Meng may publish in the future.

Co-authorship network of co-authors of Chenlin Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Chenlin Meng. A scholar is included among the top collaborators of Chenlin Meng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chenlin Meng. Chenlin Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Yang, Ceyuan, Anyi Rao, Chenlin Meng, et al.. (2025). Keyframe-Guided Creative Video Inpainting. 13009–13020. 2 indexed citations
2.
Meng, Chenlin, et al.. (2025). Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models. Proceedings of the AAAI Conference on Artificial Intelligence. 39(6). 6090–6098.
3.
Zhang, Bingliang, et al.. (2025). Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing. 20895–20905.
4.
5.
Negash, Emnet, et al.. (2024). HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing. Proceedings of the AAAI Conference on Artificial Intelligence. 38(20). 22438–22446. 1 indexed citations
6.
Rao, Anyi, et al.. (2024). Generative Models for Visual Content Editing and Creation. 1–6. 1 indexed citations
7.
Zhou, Linqi, Andy Shih, Chenlin Meng, & Stefano Ermon. (2024). DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling. 4610–4619. 2 indexed citations
8.
9.
Meng, Chenlin, Robin Rombach, Ruiqi Gao, et al.. (2023). On Distillation of Guided Diffusion Models. 14297–14306. 117 indexed citations breakdown →
10.
Lin, Ji, et al.. (2023). Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 14465–14480. 12 indexed citations
11.
Meng, Chenlin, Willie Neiswanger, Jiaming Song, et al.. (2022). IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling. Proceedings of the AAAI Conference on Artificial Intelligence. 36(11). 12034–12042. 11 indexed citations
12.
Sinha, Abhishek, Jiaming Song, Chenlin Meng, & Stefano Ermon. (2021). D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation. Neural Information Processing Systems. 34. 32 indexed citations
13.
Meng, Chenlin, Jiaming Song, Yang Song, Shengjia Zhao, & Stefano Ermon. (2021). Improved Autoregressive Modeling with Distribution Smoothing. arXiv (Cornell University). 2 indexed citations
14.
Yeh, Christopher, Chenlin Meng, Sherrie Wang, et al.. (2021). SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning. arXiv (Cornell University). 4 indexed citations
15.
Song, Yang, Chenlin Meng, Renjie Liao, & Stefano Ermon. (2020). Nonlinear Equation Solving: A Faster Alternative to Feedforward Computation. 1 indexed citations
16.
Uzkent, Burak, Evan Sheehan, Chenlin Meng, et al.. (2019). Learning to Interpret Satellite Images using Wikipedia. 3620–3626. 14 indexed citations
17.
Meng, Chenlin, et al.. (1991). Logos: a constraint-directed reasoning shell for operations management. IEEE Expert. 6(1). 20–28. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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