Chenlin Meng
Impact in
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- Generative Adversarial Networks and Image Synthesis
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
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- Computer Graphics and Visualization Techniques
Papers in
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- Generative Adversarial Networks and Image Synthesis 6
- Advanced Neural Network Applications 2
- Advanced Image and Video Retrieval Techniques 2
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- Domain Adaptation and Few-Shot Learning 2
- Artificial Intelligence in Games 1
- Co-authors
- Stefano Ermon (12 shared papers)Robin Rombach (1 shared paper)Ruiqi Gao (1 shared paper)Diederik P. Kingma (1 shared paper)Jonathan Ho (1 shared paper)Tim Salimans (1 shared paper)Jiaming Song (4 shared papers)Abhishek Sinha (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Expert (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)arXiv (Cornell University) (2 papers)
- Partner nations
- United StatesBelgiumCanada
In The Last Decade
Chenlin Meng
15 papers receiving 255 citations
Chenlin Meng's Hit Papers
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 157
- Computer Graphics and Computer-Aided Design 24
- Media Technology 22
- Statistical and Nonlinear Physics 30
- Artificial Intelligence 75
Countries citing papers authored by Chenlin Meng
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
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-authors
The 25 scholars most cited alongside Chenlin Meng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | On Distillation of Guided Diffusion Models Hit paper breakdown → | 2023 | 160 |
| 2 | D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation | 2021 | 33 |
| 3 | 2019 | 16 | |
| 4 | 2023 | 14 | |
| 5 | 2022 | 13 | |
| 6 | 1991 | 9 | |
| 7 | 2021 | 6 | |
| 8 | 2022 | 5 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 3 | |
| 11 | 2025 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 | |
| 15 | Nonlinear Equation Solving: A Faster Alternative to Feedforward Computation | 2020 | 1 |
| 16 | 2025 | 0 | |
| 17 | 2022 | 0 | |
| 18 | 2023 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2023 | 0 |
About Chenlin Meng
Chenlin Meng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications and Sociology and Political Science, having authored 20 papers that have together received 271 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (6 papers), Model Reduction and Neural Networks (3 papers), Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Artificial Intelligence in Games (1 paper), Artificial Immune Systems Applications (1 paper) and Model-Driven Software Engineering Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (157 citations), Computer Graphics and Computer-Aided Design (24 citations), Media Technology (22 citations), Statistical and Nonlinear Physics (30 citations) and Artificial Intelligence (75 citations). Chenlin Meng has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Stefano Ermon, Robin Rombach, Ruiqi Gao, Diederik P. Kingma, Jonathan Ho, Tim Salimans, Jiaming Song, Abhishek Sinha, Marshall Burke and David B. Lobell. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Expert, Rare & Special e-Zone (The Hong Kong University of Science and Technology), Proceedings of the AAAI Conference on Artificial Intelligence and arXiv (Cornell University).
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.