Concepedia

Siquan Gong

SG

2

Publications

81

Citations

2

H-Index

2021

Active since

Affiliations

Imperial College London(Current)

Shanghai University of Engineering Science

Siquan Gong is an author at Imperial College London specializing in engineering, machine learning, and deep learning.

Top concepts

EngineeringDeep LearningMachine LearningFluid DynamicsImage AnalysisMachine VisionComputer VisionComputer ScienceGenerative ModelsComputer Engineering

Publications per year

2021–2022

2

Publications

2

Reduced order model using convolutional auto-encoder with self-attention

Pin Wu, Siquan Gong, Kaikai Pan et al. · Physics of Fluids · 2021 · 60 citations

Order Model, Deep Neural Networks, Machine Vision +14

Navier–stokes Generative Adversarial Network: a physics-informed deep learning model for fluid flow generation

Pin Wu, Kaikai Pan, Lulu Ji et al. · Neural Computing and Applications · 2022 · 21 citations

Fluid Flow Generation, Engineering, Machine Learning +6

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