Sotabase

Career

· Associate Professor, Southern University of Science and Technology2025–
· Assistant Professor, Southern University of Science & Technology2019–2025
· Postdoctoral Researcher, Caltech2018–2019
· Doctor of Philosophy (PhD), Ecole polytechnique fédérale de Lausanne2013–2013
· Doctoral Assistant, EPFL2013–2018
· Visiting Researcher, North Dakota State University2012–2013
· Master's Degree, Mechanical Engineering-Solar thermal utilization, Shanghai Jiao Tong University2010–2013
· Master Student, Shanghai Jiao Tong University2010–2013

Publications (92)

Denoising Diffusion Implicit Models
International Conference on Learning Representations · 2020
10,532
cited
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
arXiv.org · 2022
2,201
cited
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
International Conference on Learning Representations · 2021
1,935
cited
On Distillation of Guided Diffusion Models
Computer Vision and Pattern Recognition · 2022
708
cited
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery
Neural Information Processing Systems · 2022
416
cited
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
International Conference on Machine Learning · 2023
337
cited
SDEdit: Image Synthesis and Editing with Stochastic Differential Equations
arXiv.org · 2021
334
cited
Geography-Aware Self-Supervised Learning
IEEE International Conference on Computer Vision · 2020
292
cited
Dual Diffusion Implicit Bridges for Image-to-Image Translation
International Conference on Learning Representations · 2022
252
cited
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
International Conference on Machine Learning · 2024
197
cited
Holistic Evaluation of Text-To-Image Models
Neural Information Processing Systems · 2023
174
cited
D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation
Neural Information Processing Systems · 2021
142
cited
DiffusionSat: A Generative Foundation Model for Satellite Imagery
International Conference on Learning Representations · 2023
135
cited
Concrete Score Matching: Generalized Score Matching for Discrete Data
Neural Information Processing Systems · 2022
112
cited
SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models
arXiv.org · 2024
94
cited
Predicting Economic Development using Geolocated Wikipedia Articles
Knowledge Discovery and Data Mining · 2019
84
cited
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning
NeurIPS Datasets and Benchmarks · 2021
80
cited
MintNet: Building Invertible Neural Networks with Masked Convolutions
Neural Information Processing Systems · 2019
70
cited
Consistency Flow Matching: Defining Straight Flows with Velocity Consistency
arXiv.org · 2024
69
cited
Estimating High Order Gradients of the Data Distribution by Denoising
Neural Information Processing Systems · 2021
67
cited
Sotabase
Chenlin Meng | Researcher Profile | Sotabase | Sotabase