Sibo Cheng - RankMe

77 papers A* 5Misc 2Journal 62Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Anchored-Branched Steady-state WInd Flow Transformer (AB-SWIFT): a metamodel for 3D atmospheric flow in urban environments. CoRR Armand de Villeroché, Rem-Sophia Mouradi, Vincent Le Guen, Sibo Cheng, Marc Bocquet, Alban Farchi, Patrick Armand, Patrick Massin
2026	A*	`conf`	BCWildfire: A Long-term Multi-factor Dataset and Deep Learning Benchmark for Boreal Wildfire Risk Prediction. AAAI Zhengsen Xu, Sibo Cheng, Lanying Wang, Hongjie He, Wentao Sun, Jonathan Li, Lincoln Linlin Xu
2026	J	`jnl`	Rooftop Wind Field Reconstruction Using Sparse Sensors: From Deterministic to Generative Learning Methods. CoRR Yihang Zhou, Chao Lin, Hideki Kikumoto, Ryozo Ooka, Sibo Cheng
2026	J	`jnl`	Spatiotemporal System Forecasting with Irregular Time Steps via Masked Autoencoder. CoRR Kewei Zhu, Yanze Xin, Jinwei Hu, Xiaoyuan Cheng, Yiming Yang, Sibo Cheng
2026	J	`jnl`	Trustworthy Data-Driven Wildfire Risk Prediction and Understanding in Western Canada. CoRR Zhengsen Xu, Lanying Wang, Sibo Cheng, Xue Rui, Kyle Gao, Yimin Zhu, Mabel Heffring, Zack Dewis, Saeid Taleghanidoozdoozan, Megan Greenwood, Motasem Alkayid, Quinn Ledingham, Hongjie He, Jonathan Li, Lincoln Linlin Xu
2025	J	`jnl`	A Probabilistic Approach to Wildfire Spread Prediction Using a Denoising Diffusion Surrogate Model. CoRR Wenbo Yu, Anirbit Ghosh, Tobias Sebastian Finn, Rossella Arcucci, Marc Bocquet, Sibo Cheng
2025	J	`jnl`	AI-Empowered Latent Four-dimensional Variational Data Assimilation for River Discharge Forecasting. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Kun Wang, Gabriele Bertoli, Sibo Cheng, Kai Schröter, Enrica Caporali, Matthew D. Piggott, Yanghua Wang, Rossella Arcucci
2025	J	`jnl`	BCWildfire: A Long-term Multi-factor Dataset and Deep Learning Benchmark for Boreal Wildfire Risk Prediction. CoRR Zhengsen Xu, Sibo Cheng, Lanying Wang, Hongjie He, Wentao Sun, Jonathan Li, Lincoln Linlin Xu
2025	J	`jnl`	Bridging Idealized and Operational Models: An Explainable AI Framework for Earth System Emulators. CoRR Pouria Behnoudfar, Charlotte Moser, Marc Bocquet, Sibo Cheng, Nan Chen
2025	J	`jnl`	Comparative and Interpretative Analysis of CNN and Transformer Models in Predicting Wildfire Spread Using Remote Sensing Data. CoRR Yihang Zhou, Ruige Kong, Zhengsen Xu, Linlin Xu, Sibo Cheng
2025	J	`jnl`	Deep Learning Surrogate Models of JULES-INFERNO for Wildfire Prediction on a Global Scale. IEEE Trans. Emerg. Top. Comput. Intell. Sibo Cheng, Hector Chassagnon, Matthew Kasoar, Yike Guo, Rossella Arcucci
2025	J	`jnl`	Facing & mitigating common challenges when working with real-world data: The Data Learning Paradigm. J. Comput. Sci. Jake Lever, Sibo Cheng, César Quilodrán Casas, Che Liu, Hongwei Fan, Robert Platt, Andrianirina Rakotoharisoa, Eleda Johnson, Siyi Li, Zhendan Shang, Rossella Arcucci
2025	J	`jnl`	Fast-Forward Lattice Boltzmann: Learning Kinetic Behaviour with Physics-Informed Neural Operators. CoRR Xiao Xue, Marco F. P. ten Eikelder, Mingyang Gao, Xiaoyuan Cheng, Yiming Yang, Yi He, Shuo Wang, Sibo Cheng, Yukun Hu, Peter V. Coveney
2025	J	`jnl`	Fire-Image-DenseNet (FIDN) for predicting wildfire burnt area using remote sensing data. Comput. Geosci. Bo Pang, Sibo Cheng, Yuhan Huang, Yufang Jin, Yike Guo, Iain Colin Prentice, Sandy P. Harrison, Rossella Arcucci
2025	—	`conf`	GTGM: Generative Text-Guided 3D Vision-Language Pretraining for Medical Image Segmentation. ICCVW Yinda Chen, Che Liu, Wei Huang, Xiaoyu Liu, Haoyuan Shi, Sibo Cheng, Rossella Arcucci, Zhiwei Xiong
2025	J	`jnl`	IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-Training. IEEE Trans. Medical Imaging Che Liu, Sibo Cheng, Miaojing Shi, Anand Shah, Wenjia Bai, Rossella Arcucci
2025	J	`jnl`	Improving Long-term Autoregressive Spatiotemporal Predictions: A Proof of Concept with Fluid Dynamics. CoRR Hao Zhou, Sibo Cheng
2025	J	`jnl`	Information Shapes Koopman Representation. CoRR Xiaoyuan Cheng, Wenxuan Yuan, Yiming Yang, Yuanzhao Zhang, Sibo Cheng, Yi He, Zhuo Sun
2025	A*	`conf`	Learning Chaos In A Linear Way. ICLR Xiaoyuan Cheng, Yi He, Yiming Yang, Xiao Xue, Sibo Cheng, Daniel Giles, Xiaohang Tang, Yukun Hu
2025	J	`jnl`	Machine learning for modelling unstructured grid data in computational physics: A review. Inf. Fusion Sibo Cheng, Marc Bocquet, Weiping Ding, Tobias Sebastian Finn, Rui Fu, Jinlong Fu, Yike Guo, Eleda Johnson, Siyi Li, Che Liu, Eric Newton Moro, Jie Pan, Matthew D. Piggott, César Quilodrán Casas, Prakhar Sharma, Kun Wang, Dunhui Xiao, Xiao Xue, Yong Zeng, Mingrui Zhang, Hao Zhou, Kewei Zhu, Rossella Arcucci
2025	J	`jnl`	Machine learning for modelling unstructured grid data in computational physics: a review. CoRR Sibo Cheng, Marc Bocquet, Weiping Ding, Tobias Sebastian Finn, Rui Fu, Jinlong Fu, Yike Guo, Eleda Johnson, Siyi Li, Che Liu, Eric Newton Moro, Jie Pan, Matthew D. Piggott, César Quilodrán Casas, Prakhar Sharma, Kun Wang, Dunhui Xiao, Xiao Xue, Yong Zeng, Mingrui Zhang, Hao Zhou, Kewei Zhu, Rossella Arcucci
2025	J	`jnl`	PyTorchFire: A GPU-Accelerated Wildfire Simulator with Differentiable Cellular Automata. CoRR Zeyu Xia, Sibo Cheng
2025	J	`jnl`	PyTorchFire: A GPU-accelerated wildfire simulator with Differentiable Cellular Automata. Environ. Model. Softw. Zeyu Xia, Sibo Cheng
2025	J	`jnl`	Spectral Cross-Domain Neural Network With Soft-Adaptive Threshold Spectral Enhancement. IEEE Trans. Neural Networks Learn. Syst. Che Liu, Sibo Cheng, Weiping Ding, Rossella Arcucci
2025	A*	`conf`	Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation. ICML Yiming Yang, Xiaoyuan Cheng, Daniel Giles, Sibo Cheng, Yi He, Xiao Xue, Boli Chen, Yukun Hu
2025	J	`jnl`	Tensor-Var: Variational Data Assimilation in Tensor Product Feature Space. CoRR Yiming Yang, Xiaoyuan Cheng, Daniel Giles, Sibo Cheng, Yi He, Xiao Xue, Boli Chen, Yukun Hu
2025	J	`jnl`	TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions. Comput. Phys. Commun. Sibo Cheng, Jinyang Min, Che Liu, Rossella Arcucci
2025	J	`jnl`	ViTAE-SL: A vision transformer-based autoencoder and spatial interpolation learner for field reconstruction. Comput. Phys. Commun. Hongwei Fan, Sibo Cheng, Audrey J. de Nazelle, Rossella Arcucci
2024	J	`jnl`	Deep learning surrogate models of JULES-INFERNO for wildfire prediction on a global scale. CoRR Sibo Cheng, Hector Chassagnon, Matthew Kasoar, Yike Guo, Rossella Arcucci
2024	J	`jnl`	Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraint. CoRR Hanyang Wang, Hao Zhou, Sibo Cheng
2024	Misc	`conf`	ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training. ICASSP Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci
2024	J	`jnl`	Efficient deep data assimilation with sparse observations and time-varying sensors. J. Comput. Phys. Sibo Cheng, Che Liu, Yike Guo, Rossella Arcucci
2024	J	`jnl`	Explainable Global Wildfire Prediction Models using Graph Neural Networks. CoRR Dayou Chen, Sibo Cheng, Jinwei Hu, Matthew Kasoar, Rossella Arcucci
2024	J	`jnl`	Exploring unseen 3D scenarios of physics variables using machine learning-based synthetic data: An application to wave energy converters. Environ. Model. Softw. César Quilodrán Casas, Qian Li, Ningbo Zhang, Sibo Cheng, Shiqiang Yan, Qingwei Ma, Rossella Arcucci
2024	J	`jnl`	Fire-Image-DenseNet (FIDN) for predicting wildfire burnt area using remote sensing data. CoRR Bo Pang, Sibo Cheng, Yuhan Huang, Yufang Jin, Yike Guo, Iain Colin Prentice, Sandy P. Harrison, Rossella Arcucci
2024	Misc	`conf`	Freeze the Backbones: a Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-Training. ICASSP Jiuming Qin, Che Liu, Sibo Cheng, Yike Guo, Rossella Arcucci
2024	J	`jnl`	Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training. CoRR Jiuming Qin, Che Liu, Sibo Cheng, Yike Guo, Rossella Arcucci
2024	A*	`conf`	G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training. NeurIPS Che Liu, Cheng Ouyang, Sibo Cheng, Anand Shah, Wenjia Bai, Rossella Arcucci
2024	J	`jnl`	Multi-fidelity physics constrained neural networks for dynamical systems. CoRR Hao Zhou, Sibo Cheng, Rossella Arcucci
2024	J	`jnl`	Real-time updating of dynamic social networks for COVID-19 vaccination strategies. J. Ambient Intell. Humaniz. Comput. Sibo Cheng, Christopher C. Pain, Yi-Ke Guo, Rossella Arcucci
2024	J	`jnl`	Spatially-Aware Diffusion Models with Cross-Attention for Global Field Reconstruction with Sparse Observations. CoRR Yilin Zhuang, Sibo Cheng, Karthik Duraisamy
2024	J	`jnl`	TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions. CoRR Sibo Cheng, Jinyang Min, Che Liu, Rossella Arcucci
2023	J	`jnl`	A Generative Model for Surrogates of Spatial-Temporal Wildfire Nowcasting. IEEE Trans. Emerg. Top. Comput. Intell. Sibo Cheng, Yike Guo, Rossella Arcucci
2023	J	`jnl`	A generative model for surrogates of spatial-temporal wildfire nowcasting. CoRR Sibo Cheng, Yike Guo, Rossella Arcucci
2023	—	`conf`	An Efficient ViT-Based Spatial Interpolation Learner for Field Reconstruction. ICCS (4) Hongwei Fan, Sibo Cheng, Audrey J. de Nazelle, Rossella Arcucci
2023	J	`jnl`	Analyzing drop coalescence in microfluidic device with a deep learning generative model. CoRR Kewei Zhu, Sibo Cheng, Nina Kovalchuk, Mark Simmons, Yi-Ke Guo, Omar K. Matar, Rossella Arcucci
2023	—	`conf`	Design and Development of Wearable Upper Limb Soft Robotics for Load Lifting Task Assistance. ICIRA (2) Sibo Cheng, Huaiyu Na, Kaifeng Zheng, Haopeng Ou, Ning Jia, Xingda Qu, Xinyao Hu
2023	J	`jnl`	ETP: Learning Transferable ECG Representations via ECG-Text Pre-training. CoRR Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci
2023	J	`jnl`	Efficient deep data assimilation with sparse observations and time-varying sensors. CoRR Sibo Cheng, Che Liu, Yike Guo, Rossella Arcucci
2023	—	`conf`	Frozen Language Model Helps ECG Zero-Shot Learning. MIDL Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong
2023	J	`jnl`	Frozen Language Model Helps ECG Zero-Shot Learning. CoRR Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong
2023	J	`jnl`	G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training. CoRR Che Liu, Cheng Ouyang, Sibo Cheng, Anand Shah, Wenjia Bai, Rossella Arcucci
2023	J	`jnl`	Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models. J. Sci. Comput. Sibo Cheng, Jianhua Chen, Charitos Anastasiou, Panagiota Angeli, Omar K. Matar, Yi-Ke Guo, Christopher C. Pain, Rossella Arcucci
2023	J	`jnl`	Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation. CoRR Yinda Chen, Che Liu, Wei Huang, Sibo Cheng, Rossella Arcucci, Zhiwei Xiong
2023	—	`conf`	Human-Sensors & Physics Aware Machine Learning for Wildfire Detection and Nowcasting. ICCS (4) Jake Lever, Sibo Cheng, Rossella Arcucci
2023	J	`jnl`	IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training. CoRR Che Liu, Sibo Cheng, Miaojing Shi, Anand Shah, Wenjia Bai, Rossella Arcucci
2023	—	`conf`	M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization. MICCAI (1) Che Liu, Sibo Cheng, Chen Chen, Mengyun Qiao, Weitong Zhang, Anand Shah, Wenjia Bai, Rossella Arcucci
2023	J	`jnl`	M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization. CoRR Che Liu, Sibo Cheng, Chen Chen, Mengyun Qiao, Weitong Zhang, Anand Shah, Wenjia Bai, Rossella Arcucci
2023	J	`jnl`	Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. IEEE CAA J. Autom. Sinica 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
2023	J	`jnl`	Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. CoRR 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
2023	A*	`conf`	Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. NeurIPS Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci
2023	J	`jnl`	Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. CoRR Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci
2023	J	`jnl`	Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement. CoRR Che Liu, Sibo Cheng, Weiping Ding, Rossella Arcucci
2022	J	`jnl`	Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting. J. Comput. Phys. Sibo Cheng, Iain Colin Prentice, Yuhan Huang, Yufang Jin, Yi-Ke Guo, Rossella Arcucci
2022	J	`jnl`	Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models. CoRR Sibo Cheng, Jianhua Chen, Charitos Anastasiou, Panagiota Angeli, Omar K. Matar, Yi-Ke Guo, Christopher C. Pain, Rossella Arcucci
2022	J	`jnl`	Observation error covariance specification in dynamical systems for data assimilation using recurrent neural networks. Neural Comput. Appl. Sibo Cheng, Mingming Qiu
2022	J	`jnl`	Parameter Flexible Wildfire Prediction Using Machine Learning Techniques: Forward and Inverse Modelling. Remote. Sens. Sibo Cheng, Yufang Jin, Sandy P. Harrison, César Quilodrán Casas, Iain Colin Prentice, Yi-Ke Guo, Rossella Arcucci
2022	—	`conf`	Reduced Order Surrogate Modelling and Latent Assimilation for Dynamical Systems. ICCS (4) Sibo Cheng, César Quilodrán Casas, Rossella Arcucci
2021	J	`jnl`	Observation Error Covariance Specification in Dynamical Systems for Data assimilation using Recurrent Neural Networks. CoRR Sibo Cheng, Mingming Qiu
2021	J	`jnl`	Observation data compression for variational assimilation of dynamical systems. CoRR Sibo Cheng, Didier Lucor, Jean-Philippe Argaud
2021	J	`jnl`	Observation data compression for variational assimilation of dynamical systems. J. Comput. Sci. Sibo Cheng, Didier Lucor, Jean-Philippe Argaud
2021	J	`jnl`	Optimal vaccination strategies for COVID-19 based on dynamical social networks with real-time updating. CoRR Sibo Cheng, Rossella Arcucci, Christopher C. Pain, Yi-Ke Guo
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	J	`jnl`	Rock-paper-scissors dynamics from random walks on temporal multiplex networks. J. Complex Networks Martin Gueuning, Sibo Cheng, Renaud Lambiotte, Jean-Charles Delvenne
2019	J	`jnl`	Background Error Covariance Iterative Updating with Invariant Observation Measures for Data Assimilation. CoRR Sibo Cheng, Jean-Philippe Argaud, Bertrand Iooss, Didier Lucor, Angélique Ponçot
2018	J	`jnl`	Rock-Paper-Scissors Random Walks on Temporal Multilayer Networks. CoRR Martin Gueuning, Sibo Cheng, Renaud Lambiotte, Jean-Charles Delvenne
2017	J	`jnl`	Role model detection using low rank similarity matrix. CoRR Sibo Cheng, Adissa Laurent, Paul Van Dooren