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Sibo Cheng
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2020 – today
- 2025
- [j13]Sibo Cheng
, Jinyang Min, Che Liu, Rossella Arcucci:
TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions. Comput. Phys. Commun. 306: 109359 (2025) - [j12]Bo Pang, Sibo Cheng, Yuhan Huang, Yufang Jin, Yike Guo, Iain Colin Prentice, Sandy P. Harrison, Rossella Arcucci:
Fire-Image-DenseNet (FIDN) for predicting wildfire burnt area using remote sensing data. Comput. Geosci. 195: 105783 (2025) - 2024
- [j11]César Quilodrán Casas, Qian Li, Ningbo Zhang, Sibo Cheng, Shiqiang Yan, Qingwei Ma, Rossella Arcucci
Exploring unseen 3D scenarios of physics variables using machine learning-based synthetic data: An application to wave energy converters. Environ. Model. Softw. 177: 106051 (2024) - [j10]Sibo Cheng
Real-time updating of dynamic social networks for COVID-19 vaccination strategies. J. Ambient Intell. Humaniz. Comput. 15(3): 1981-1994 (2024) - [j9]Sibo Cheng
Efficient deep data assimilation with sparse observations and time-varying sensors. J. Comput. Phys. 496: 112581 (2024) - [c9]Jiuming Qin, Che Liu, Sibo Cheng, Yike Guo, Rossella Arcucci:
Freeze the Backbones: a Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-Training. ICASSP 2024: 1686-1690 - [c8]Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci:
ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training. ICASSP 2024: 8230-8234 - [i26]Jiuming Qin, Che Liu, Sibo Cheng, Yike Guo, Rossella Arcucci:
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training. CoRR abs/2401.01179 (2024) - [i25]Hao Zhou
Multi-fidelity physics constrained neural networks for dynamical systems. CoRR abs/2402.02031 (2024) - [i24]Dayou Chen, Sibo Cheng, Jinwei Hu
Explainable Global Wildfire Prediction Models using Graph Neural Networks. CoRR abs/2402.07152 (2024) - [i23]Yilin Zhuang, Sibo Cheng, Karthik Duraisamy:
Spatially-Aware Diffusion Models with Cross-Attention for Global Field Reconstruction with Sparse Observations. CoRR abs/2409.00230 (2024) - [i22]Sibo Cheng, Hector Chassagnon, Matthew Kasoar, Yike Guo, Rossella Arcucci:
Deep learning surrogate models of JULES-INFERNO for wildfire prediction on a global scale. CoRR abs/2409.00237 (2024) - [i21]Sibo Cheng, Jinyang Min, Che Liu, Rossella Arcucci:
TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions. CoRR abs/2409.00244 (2024) - [i20]Hanyang Wang, Hao Zhou, Sibo Cheng:
Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraint. CoRR abs/2409.00458 (2024) - 2023
- [j8]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
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. IEEE CAA J. Autom. Sinica 10(6): 1361-1387 (2023) - [j7]Sibo Cheng, Jianhua Chen, Charitos Anastasiou, Panagiota Angeli, Omar K. Matar, Yi-Ke Guo, Christopher C. Pain
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models. J. Sci. Comput. 94(1): 11 (2023) - [j6]Sibo Cheng
A Generative Model for Surrogates of Spatial-Temporal Wildfire Nowcasting. IEEE Trans. Emerg. Top. Comput. Intell. 7(5): 1420-1430 (2023) - [c7]Jake Lever
Human-Sensors & Physics Aware Machine Learning for Wildfire Detection and Nowcasting. ICCS (4) 2023: 422-429 - [c6]Hongwei Fan
An Efficient ViT-Based Spatial Interpolation Learner for Field Reconstruction. ICCS (4) 2023: 430-437 - [c5]Sibo Cheng, Huaiyu Na, Kaifeng Zheng, Haopeng Ou, Ning Jia, Xingda Qu, Xinyao Hu:
Design and Development of Wearable Upper Limb Soft Robotics for Load Lifting Task Assistance. ICIRA (2) 2023: 451-460 - [c4]Che Liu, Sibo Cheng, Chen Chen, Mengyun Qiao, Weitong Zhang, Anand Shah
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization. MICCAI (1) 2023: 637-647 - [c3]Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong:
Frozen Language Model Helps ECG Zero-Shot Learning. MIDL 2023: 402-415 - [c2]Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci:
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. NeurIPS 2023 - [i19]Che Liu, Sibo Cheng, Weiping Ding, Rossella Arcucci:
Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement. CoRR abs/2301.10171 (2023) - [i18]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:
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. CoRR abs/2303.10462 (2023) - [i17]Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong:
Frozen Language Model Helps ECG Zero-Shot Learning. CoRR abs/2303.12311 (2023) - [i16]Kewei Zhu, Sibo Cheng, Nina Kovalchuk, Mark Simmons, Yi-Ke Guo, Omar K. Matar, Rossella Arcucci:
Analyzing drop coalescence in microfluidic device with a deep learning generative model. CoRR abs/2305.00261 (2023) - [i15]Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. CoRR abs/2305.19894 (2023) - [i14]Yinda Chen, Che Liu, Wei Huang, Sibo Cheng, Rossella Arcucci, Zhiwei Xiong:
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation. CoRR abs/2306.04811 (2023) - [i13]Che Liu, Sibo Cheng, Chen Chen, Mengyun Qiao, Weitong Zhang, Anand Shah, Wenjia Bai, Rossella Arcucci:
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization. CoRR abs/2307.08347 (2023) - [i12]Sibo Cheng, Yike Guo, Rossella Arcucci:
A generative model for surrogates of spatial-temporal wildfire nowcasting. CoRR abs/2308.02810 (2023) - [i11]Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci:
ETP: Learning Transferable ECG Representations via ECG-Text Pre-training. CoRR abs/2309.07145 (2023) - [i10]Che Liu, Sibo Cheng, Miaojing Shi, Anand Shah, Wenjia Bai, Rossella Arcucci:
IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training. CoRR abs/2310.07355 (2023) - [i9]Sibo Cheng, Che Liu, Yike Guo, Rossella Arcucci:
Efficient deep data assimilation with sparse observations and time-varying sensors. CoRR abs/2310.16187 (2023) - [i8]Che Liu, Cheng Ouyang, Sibo Cheng, Anand Shah, Wenjia Bai, Rossella Arcucci:
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training. CoRR abs/2312.01522 (2023) - 2022
- [j5]Sibo Cheng
Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting. J. Comput. Phys. 464: 111302 (2022) - [j4]Sibo Cheng
Observation error covariance specification in dynamical systems for data assimilation using recurrent neural networks. Neural Comput. Appl. 34(16): 13149-13167 (2022) - [j3]Sibo Cheng
Parameter Flexible Wildfire Prediction Using Machine Learning Techniques: Forward and Inverse Modelling. Remote. Sens. 14(13): 3228 (2022) - [c1]Sibo Cheng, César Quilodrán Casas, Rossella Arcucci:
Reduced Order Surrogate Modelling and Latent Assimilation for Dynamical Systems. ICCS (4) 2022: 31-44 - [i7]Sibo Cheng, Jianhua Chen, Charitos Anastasiou, Panagiota Angeli, Omar K. Matar, Yi-Ke Guo, Christopher C. Pain, Rossella Arcucci:
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models. CoRR abs/2204.03497 (2022) - 2021
- [j2]Sibo Cheng
Observation data compression for variational assimilation of dynamical systems. J. Comput. Sci. 53: 101405 (2021) - [i6]Sibo Cheng, Rossella Arcucci, Christopher C. Pain, Yi-Ke Guo:
Optimal vaccination strategies for COVID-19 based on dynamical social networks with real-time updating. CoRR abs/2103.00485 (2021) - [i5]Sibo Cheng, Didier Lucor, Jean-Philippe Argaud:
Observation data compression for variational assimilation of dynamical systems. CoRR abs/2106.05427 (2021) - [i4]Sibo Cheng, Mingming Qiu:
Observation Error Covariance Specification in Dynamical Systems for Data assimilation using Recurrent Neural Networks. CoRR abs/2111.06447 (2021) - 2020
- [b1]Sibo Cheng:
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). University of Paris-Saclay, France, 2020 - [j1]Martin Gueuning, Sibo Cheng
Rock-paper-scissors dynamics from random walks on temporal multiplex networks. J. Complex Networks 8(2) (2020)
2010 – 2019
- 2019
- [i3]Sibo Cheng, Jean-Philippe Argaud, Bertrand Iooss, Didier Lucor, Angélique Ponçot:
Background Error Covariance Iterative Updating with Invariant Observation Measures for Data Assimilation. CoRR abs/1910.09408 (2019) - 2018
- [i2]Martin Gueuning, Sibo Cheng, Renaud Lambiotte, Jean-Charles Delvenne:
Rock-Paper-Scissors Random Walks on Temporal Multilayer Networks. CoRR abs/1812.06596 (2018) - 2017
- [i1]Sibo Cheng, Adissa Laurent, Paul Van Dooren:
Role model detection using low rank similarity matrix. CoRR abs/1702.06154 (2017)
Coauthor Index
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