Derivation of Geometrically and Semantically Annotated UAV Datasets at Large Scales from 3D City Models. - Sidi Wu; Lukas Liebel; Marco Körner 001 (ICPR, 2020)

FuncNN: An R Package to Fit Deep Neural Networks Using Generalized Input Spaces. - Barinder Thind; Sidi Wu; Richard Groenewald; Jiguo Cao (CoRR, 2020)

Unsupervised historical map registration by a deformation neural network. - Sidi Wu; Raimund Schnürer; Magnus Heitzler; Lorenz Hurni (GeoAI@SIGSPATIAL, 2022)

On convergence of neural network methods for solving elliptic interface problems. - Sidi Wu; Aiqing Zhu; Benzhuo Lu (CoRR, 2022)

INN: Interfaced neural networks as an accessible meshless approach for solving interface PDE problems. - Sidi Wu; Benzhuo Lu (J. Comput. Phys., 2022)

Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical Maps. - Sidi Wu; Yizi Chen; Konrad Schindler; Lorenz Hurni (SIGSPATIAL/GIS, 2023)

Neural networks for scalar input and functional output. - Sidi Wu; Cédric Beaulac; Jiguo Cao (Stat. Comput., 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., 2023)

StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation. - Sidi Wu; Yizi Chen; Samuel Mermet; Lorenz Hurni; Konrad Schindler; Nicolas Gonthier; Loïc Landrieu (CVPR, 2024)

A Physics-driven GraphSAGE Method for Physical Process Simulations Described by Partial Differential Equations. - Hang Hu 021; Sidi Wu; Guoxiong Cai; Na Liu 011 (CoRR, 2024)

Fine-Tuning DeepONets to Enhance Physics-informed Neural Networks for solving Partial Differential Equations. - Sidi Wu (CoRR, 2024)

A roadmap for generative mapping: unlocking the power of generative AI for map-making. - Sidi Wu; Katharina Henggeler; Yizi Chen; Lorenz Hurni (CoRR, 2024)

An Efficient System for Automatic Map Storytelling - A Case Study on Historical Maps. - Ziyi Liu; Claudio Affolter; Sidi Wu; Yizi Chen; Lorenz Hurni (CoRR, 2024)

Solving parametric elliptic interface problems via interfaced operator network. - Sidi Wu; Aiqing Zhu; Yifa Tang; Benzhuo Lu (J. Comput. Phys., 2024)

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 (SIAM J. Numer. Anal., 2024)

Dataset for the paper: "StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation", CVPR 2024. - Sidi Wu; Yizi Chen; Samuel Mermet; Lorenz Hurni; Konrad Schindler; Nicolas Gonthier; Loïc Landrieu (Zenodo, 2024)

Functional autoencoder for smoothing and representation learning. - Sidi Wu; Cédric Beaulac; Jiguo Cao (Stat. Comput., 2024)

Deep learning for geographical feature extraction and alignment from heterogeneous (historical) maps. - Sidi Wu (2025)

Leveraging Temporal Gaze Patterns for Intelligent Segmentation in Mobile Eye-Tracking. - Shupeng Wang; Yizi Chen; Sidi Wu; Peter Kiefer; Martin Raubal (Proc. ACM Comput. Graph. Interact. Tech., 2025)