Role model detection using low rank similarity matrix. - Sibo Cheng; Adissa Laurent; Paul Van Dooren (CoRR, 2017)

Rock-Paper-Scissors Random Walks on Temporal Multilayer Networks. - Martin Gueuning; Sibo Cheng; Renaud Lambiotte; Jean-Charles Delvenne (CoRR, 2018)

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)

Rock-paper-scissors dynamics from random walks on temporal multiplex networks. - Martin Gueuning; Sibo Cheng; Renaud Lambiotte; Jean-Charles Delvenne (J. Complex Networks, 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 (2020)

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)

Observation data compression for variational assimilation of dynamical systems. - Sibo Cheng; Didier Lucor; Jean-Philippe Argaud (J. Comput. Sci., 2021)

Reduced Order Surrogate Modelling and Latent Assimilation for Dynamical Systems. - Sibo Cheng; César Quilodrán Casas; Rossella Arcucci (ICCS (4), 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)

Observation error covariance specification in dynamical systems for data assimilation using recurrent neural networks. - Sibo Cheng; Mingming Qiu (Neural Comput. Appl., 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)

An Efficient ViT-Based Spatial Interpolation Learner for Field Reconstruction. - Hongwei Fan; Sibo Cheng; Audrey J. de Nazelle; Rossella Arcucci (ICCS (4), 2023)

Human-Sensors & Physics Aware Machine Learning for Wildfire Detection and Nowcasting. - Jake Lever; Sibo Cheng; Rossella Arcucci (ICCS (4), 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 (ICIRA (2), 2023)

M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization. - Che Liu; Sibo Cheng; Chen Chen 042; Mengyun Qiao; Weitong Zhang; Anand Shah; Wenjia Bai; Rossella Arcucci (MICCAI (1), 2023)

Frozen Language Model Helps ECG Zero-Shot Learning. - Jun Li; Che Liu; Sibo Cheng; Rossella Arcucci; Shenda Hong (MIDL, 2023)

Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. - Zhongwei Wan; Che Liu; Mi Zhang 002; Jie Fu 001; Benyou Wang; Sibo Cheng; Lei Ma 008; César Quilodrán Casas; Rossella Arcucci (NeurIPS, 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)

Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation. - Yinda Chen; Che Liu; Wei Huang 036; Sibo Cheng; Rossella Arcucci; Zhiwei Xiong (CoRR, 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)

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; et al. (IEEE CAA J. Autom. Sinica, 2023)

A Generative Model for Surrogates of Spatial-Temporal Wildfire Nowcasting. - Sibo Cheng; Yike Guo; Rossella Arcucci (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training. - Che Liu; Zhongwei Wan; Sibo Cheng; Mi Zhang 002; Rossella Arcucci (ICASSP, 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 (ICASSP, 2024)

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 (NeurIPS, 2024)

Multi-fidelity physics constrained neural networks for dynamical systems. - Hao Zhou 020; Sibo Cheng; Rossella Arcucci (CoRR, 2024)

Explainable Global Wildfire Prediction Models using Graph Neural Networks. - Dayou Chen; Sibo Cheng; Jinwei Hu; Matthew Kasoar; Rossella Arcucci (CoRR, 2024)

Spatially-Aware Diffusion Models with Cross-Attention for Global Field Reconstruction with Sparse Observations. - Yilin Zhuang; Sibo Cheng; Karthik Duraisamy (CoRR, 2024)

Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraint. - Hanyang Wang 005; Hao Zhou; Sibo Cheng (CoRR, 2024)

Exploring unseen 3D scenarios of physics variables using machine learning-based synthetic data: An application to wave energy converters. - César Quilodrán Casas; Qian Li; Ningbo Zhang; Sibo Cheng; Shiqiang Yan; Qingwei Ma; Rossella Arcucci (Environ. Model. Softw., 2024)

Efficient deep data assimilation with sparse observations and time-varying sensors. - Sibo Cheng; Che Liu; Yike Guo; Rossella Arcucci (J. Comput. Phys., 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., 2024)

Learning Chaos In A Linear Way. - Xiaoyuan Cheng; Yi He; Yiming Yang; Xiao Xue; Sibo Cheng; Daniel Giles; Xiaohang Tang; Yukun Hu (ICLR, 2025)

TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions. - Sibo Cheng; Jinyang Min; Che Liu; Rossella Arcucci (Comput. Phys. Commun., 2025)

ViTAE-SL: A vision transformer-based autoencoder and spatial interpolation learner for field reconstruction. - Hongwei Fan; Sibo Cheng; Audrey J. de Nazelle; Rossella Arcucci (Comput. Phys. Commun., 2025)

PyTorchFire: A GPU-accelerated wildfire simulator with Differentiable Cellular Automata. - Zeyu Xia 002; Sibo Cheng (Environ. Model. Softw., 2025)

Fire-Image-DenseNet (FIDN) for predicting wildfire burnt area using remote sensing data. - Bo Pang 007; Sibo Cheng; Yuhan Huang; Yufang Jin; Yike Guo; Iain Colin Prentice; Sandy P. Harrison; Rossella Arcucci (Comput. Geosci., 2025)

Machine learning for modelling unstructured grid data in computational physics: A review. - Sibo Cheng; Marc Bocquet; Weiping Ding 001; Tobias Sebastian Finn; Rui Fu; Jinlong Fu; Yike Guo; Eleda Johnson; Siyi Li; Che Liu; Eric Newton Moro; Jie Pan 007; et al. (Inf. Fusion, 2025)

Facing & mitigating common challenges when working with real-world data: The Data Learning Paradigm. - Jake Lever; Sibo Cheng; César Quilodrán Casas; Che Liu; Hongwei Fan; Robert Platt 002; Andrianirina Rakotoharisoa; Eleda Johnson; Siyi Li; Zhendan Shang; Rossella Arcucci (J. Comput. Sci., 2025)

Tensor-Var: Variational Data Assimilation in Tensor Product Feature Space. - Yiming Yang; Xiaoyuan Cheng; Daniel Giles; Sibo Cheng; Yi He; Xiao Xue; Boli Chen; Yukun Hu (CoRR, 2025)

IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-Training. - Che Liu; Sibo Cheng; Miaojing Shi; Anand Shah; Wenjia Bai; Rossella Arcucci (IEEE Trans. Medical Imaging, 2025)

Spectral Cross-Domain Neural Network With Soft-Adaptive Threshold Spectral Enhancement. - Che Liu; Sibo Cheng; Weiping Ding 001; Rossella Arcucci (IEEE Trans. Neural Networks Learn. Syst., 2025)

Deep Learning Surrogate Models of JULES-INFERNO for Wildfire Prediction on a Global Scale. - Sibo Cheng; Hector Chassagnon; Matthew Kasoar; Yike Guo; Rossella Arcucci (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Comparative and Interpretative Analysis of CNN and Transformer Models in Predicting Wildfire Spread Using Remote Sensing Data. - Yihang Zhou; Ruige Kong; Zhengsen Xu; Linlin Xu; Sibo Cheng (CoRR, 2025)

A Probabilistic Approach to Wildfire Spread Prediction Using a Denoising Diffusion Surrogate Model. - Wenbo Yu; Anirbit Ghosh; Tobias Sebastian Finn; Rossella Arcucci; Marc Bocquet; Sibo Cheng (CoRR, 2025)