Sidi Wu

According to our database, Sidi Wu authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation.

Sidi Wu, Yizi Chen, Samuel Mermet, Lorenz Hurni, Konrad Schindler, Nicolas Gonthier, Loïc Landrieu

CoRR, 2024

A Physics-driven GraphSAGE Method for Physical Process Simulations Described by Partial Differential Equations.

Hang Hu, Sidi Wu, Guoxiong Cai, Na Liu

CoRR, 2024

Functional Autoencoder for Smoothing and Representation Learning.

Sidi Wu, Cédric Beaulac, Jiguo Cao

CoRR, 2024

2023

Neuroimaging feature extraction using a neural network classifier for imaging genetics.

Cédric Beaulac, Sidi Wu, Erin Gibson, Michelle F. Miranda, Jiguo Cao, Leno Rocha, Mirza Faisal Beg, Farouk S. Nathoo

BMC Bioinform., December, 2023

Neural networks for scalar input and functional output.

Sidi Wu, Cédric Beaulac, Jiguo Cao

Stat. Comput., October, 2023

Solving parametric elliptic interface problems via interfaced operator network.

Sidi Wu, Aiqing Zhu, Yifa Tang, Benzhuo Lu

CoRR, 2023

Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical Maps.

Sidi Wu, Yizi Chen, Konrad Schindler, Lorenz Hurni

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

2022

INN: Interfaced neural networks as an accessible meshless approach for solving interface PDE problems.

Sidi Wu, Benzhuo Lu

J. Comput. Phys., 2022

Error analysis based on inverse modified differential equations for discovery of dynamics using linear multistep methods and deep learning.

Aiqing Zhu, Sidi Wu, Yifa Tang

CoRR, 2022

On convergence of neural network methods for solving elliptic interface problems.

Sidi Wu, Aiqing Zhu, Benzhuo Lu

CoRR, 2022

Unsupervised historical map registration by a deformation neural network.

Sidi Wu, Raimund Schnürer, Magnus Heitzler, Lorenz Hurni

Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2022

2020

FuncNN: An R Package to Fit Deep Neural Networks Using Generalized Input Spaces.

Barinder Thind, Sidi Wu, Richard Groenewald, Jiguo Cao

CoRR, 2020

Derivation of Geometrically and Semantically Annotated UAV Datasets at Large Scales from 3D City Models.

Sidi Wu, Lukas Liebel, Marco Körner

Proceedings of the 25th International Conference on Pattern Recognition, 2020