Sibo Cheng

Orcid: 0000-0002-8707-2589

According to our database1, Sibo Cheng authored at least 37 papers between 2017 and 2025.

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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
Real-time updating of dynamic social networks for COVID-19 vaccination strategies.
J. Ambient Intell. Humaniz. Comput., March, 2024

Efficient deep data assimilation with sparse observations and time-varying sensors.
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

Explainable Global Wildfire Prediction Models using Graph Neural Networks.
CoRR, 2024

Multi-fidelity physics constrained neural networks for dynamical systems.
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

ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
A Generative Model for Surrogates of Spatial-Temporal Wildfire Nowcasting.
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

IMITATE: Clinical Prior Guided Hierarchical 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

Frozen Language Model Helps ECG Zero-Shot Learning.
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

An Efficient ViT-Based Spatial Interpolation Learner for Field Reconstruction.
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

Reduced Order Surrogate Modelling and Latent Assimilation for Dynamical Systems.
Proceedings of the Computational Science - ICCS 2022, 2022

2021
Observation data compression for variational assimilation of dynamical systems.
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

Rock-paper-scissors dynamics from random walks on temporal multiplex networks.
J. Complex Networks, 2020

2019
Background Error Covariance Iterative Updating with Invariant Observation Measures for Data Assimilation.
CoRR, 2019

2018
Rock-Paper-Scissors Random Walks on Temporal Multilayer Networks.
CoRR, 2018

2017
Role model detection using low rank similarity matrix.
CoRR, 2017


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