Sibo Cheng

According to our database, Sibo Cheng authored at least 32 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Real-time updating of dynamic social networks for COVID-19 vaccination strategies.

Sibo Cheng, Christopher C. Pain, Yi-Ke Guo, Rossella Arcucci

J. Ambient Intell. Humaniz. Comput., March, 2024

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

Sibo Cheng, Che Liu, Yike Guo, Rossella Arcucci

J. Comput. Phys., January, 2024

Explainable Global Wildfire Prediction Models using Graph Neural Networks.

Dayou Chen, Sibo Cheng, Jinwei Hu, Matthew Kasoar, Rossella Arcucci

CoRR, 2024

Multi-fidelity physics constrained neural networks for dynamical systems.

Hao Zhou, Sibo Cheng, Rossella Arcucci

CoRR, 2024

Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training.

Jiuming Qin, Che Liu, Sibo Cheng, Yike Guo, Rossella Arcucci

CoRR, 2024

2023

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

Sibo Cheng, Yike Guo, Rossella Arcucci

IEEE Trans. Emerg. Top. Comput. Intell., October, 2023

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review.

Sibo Cheng, César Quilodrán Casas, Said Ouala, Alban Farchi, Che Liu, Pierre Tandeo, Ronan Fablet, Didier Lucor, Bertrand Iooss, Julien Brajard, Dunhui Xiao, Tijana Janjic, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci

IEEE CAA J. Autom. Sinica, June, 2023

Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models.

Sibo Cheng, Jianhua Chen, Charitos Anastasiou, Panagiota Angeli, Omar K. Matar, Yi-Ke Guo, Christopher C. Pain, Rossella Arcucci

J. Sci. Comput., 2023

G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training.

Che Liu, Cheng Ouyang, Sibo Cheng, Anand Shah, Wenjia Bai, Rossella Arcucci

CoRR, 2023

IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training.

Che Liu, Sibo Cheng, Miaojing Shi, Anand Shah, Wenjia Bai, Rossella Arcucci

CoRR, 2023

ETP: Learning Transferable ECG Representations via ECG-Text Pre-training.

Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci

CoRR, 2023

Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation.

Yinda Chen, Che Liu, Wei Huang, Sibo Cheng, Rossella Arcucci, Zhiwei Xiong

CoRR, 2023

Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias.

Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci

CoRR, 2023

Analyzing drop coalescence in microfluidic device with a deep learning generative model.

Kewei Zhu, Sibo Cheng, Nina Kovalchuk, Mark Simmons, Yi-Ke Guo, Omar K. Matar, Rossella Arcucci

CoRR, 2023

Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement.

Che Liu, Sibo Cheng, Weiping Ding, Rossella Arcucci

CoRR, 2023

Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias.

Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci

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.

Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong

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.

Che Liu, Sibo Cheng, Chen Chen, Mengyun Qiao, Weitong Zhang, Anand Shah, Wenjia Bai, Rossella Arcucci

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.

Sibo Cheng, Huaiyu Na, Kaifeng Zheng, Haopeng Ou, Ning Jia, Xingda Qu, Xinyao Hu

Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023

Human-Sensors & Physics Aware Machine Learning for Wildfire Detection and Nowcasting.

Jake Lever, Sibo Cheng, Rossella Arcucci

Proceedings of the Computational Science - ICCS 2023, 2023

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

Hongwei Fan, Sibo Cheng, Audrey J. de Nazelle, Rossella Arcucci

Proceedings of the Computational Science - ICCS 2023, 2023

2022

Parameter Flexible Wildfire Prediction Using Machine Learning Techniques: Forward and Inverse Modelling.

Sibo Cheng, Yufang Jin, Sandy P. Harrison, César Quilodrán Casas, Iain Colin Prentice, Yi-Ke Guo, Rossella Arcucci

Remote. Sens., 2022

Observation error covariance specification in dynamical systems for data assimilation using recurrent neural networks.

Sibo Cheng, Mingming Qiu

Neural Comput. Appl., 2022

Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting.

Sibo Cheng, Iain Colin Prentice, Yuhan Huang, Yufang Jin, Yi-Ke Guo, Rossella Arcucci

J. Comput. Phys., 2022

Reduced Order Surrogate Modelling and Latent Assimilation for Dynamical Systems.

Sibo Cheng, César Quilodrán Casas, Rossella Arcucci

Proceedings of the Computational Science - ICCS 2022, 2022

2021

Observation data compression for variational assimilation of dynamical systems.

Sibo Cheng, Didier Lucor, Jean-Philippe Argaud

J. Comput. Sci., 2021

Optimal vaccination strategies for COVID-19 based on dynamical social networks with real-time updating.

Sibo Cheng, Rossella Arcucci, Christopher C. Pain, Yi-Ke Guo

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).

Sibo Cheng

PhD thesis, 2020

Rock-paper-scissors dynamics from random walks on temporal multiplex networks.

Martin Gueuning, Sibo Cheng, Renaud Lambiotte, Jean-Charles Delvenne

J. Complex Networks, 2020

2019

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

Sibo Cheng, Jean-Philippe Argaud, Bertrand Iooss, Didier Lucor, Angélique Ponçot

CoRR, 2019

2018

Rock-Paper-Scissors Random Walks on Temporal Multilayer Networks.

Martin Gueuning, Sibo Cheng, Renaud Lambiotte, Jean-Charles Delvenne

CoRR, 2018

2017

Role model detection using low rank similarity matrix.

Sibo Cheng, Adissa Laurent, Paul Van Dooren

CoRR, 2017