Sibo Cheng
Orcid: 0000-0002-8707-2589
According to our database1,
Sibo Cheng
authored at least 37 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
Fire-Image-DenseNet (FIDN) for predicting wildfire burnt area using remote sensing data.
Comput. Geosci., 2025
TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions.
Comput. Phys. Commun., 2025
2024
J. Ambient Intell. Humaniz. Comput., March, 2024
J. Comput. Phys., January, 2024
Exploring unseen 3D scenarios of physics variables using machine learning-based synthetic data: An application to wave energy converters.
Environ. Model. Softw., 2024
Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraint.
CoRR, 2024
Deep learning surrogate models of JULES-INFERNO for wildfire prediction on a global scale.
CoRR, 2024
Spatially-Aware Diffusion Models with Cross-Attention for Global Field Reconstruction with Sparse Observations.
CoRR, 2024
CoRR, 2024
Freeze the Backbones: a Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-Training.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review.
IEEE CAA J. Autom. Sinica, June, 2023
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models.
J. Sci. Comput., 2023
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training.
CoRR, 2023
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation.
CoRR, 2023
Analyzing drop coalescence in microfluidic device with a deep learning generative model.
CoRR, 2023
Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement.
CoRR, 2023
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Medical Imaging with Deep Learning, 2023
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Design and Development of Wearable Upper Limb Soft Robotics for Load Lifting Task Assistance.
Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023
Human-Sensors & Physics Aware Machine Learning for Wildfire Detection and Nowcasting.
Proceedings of the Computational Science - ICCS 2023, 2023
Proceedings of the Computational Science - ICCS 2023, 2023
2022
Parameter Flexible Wildfire Prediction Using Machine Learning Techniques: Forward and Inverse Modelling.
Remote. Sens., 2022
Observation error covariance specification in dynamical systems for data assimilation using recurrent neural networks.
Neural Comput. Appl., 2022
Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting.
J. Comput. Phys., 2022
Proceedings of the Computational Science - ICCS 2022, 2022
2021
J. Comput. Sci., 2021
Optimal vaccination strategies for COVID-19 based on dynamical social networks with real-time updating.
CoRR, 2021
2020
Error covariance specification and localization in data assimilation with industrial application. (Spécification et localisation de covariance des erreurs en assimilation de données avec une application industrielle).
PhD thesis, 2020
J. Complex Networks, 2020
2019
Background Error Covariance Iterative Updating with Invariant Observation Measures for Data Assimilation.
CoRR, 2019
2018
2017