Yi-Ke Guo

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 26

Top Topics

Machine Learning

Data Assimilation

Gaussian Process

Top Venues

Euro-Par Workshops

Publications

Jinyang Tai, Yi-Ke Guo
Hierarchical Linear Symbolized Tree-Structured Neural Processes. KDD (2024)
Sibo Cheng, Christopher C. Pain, Yi-Ke Guo, Rossella Arcucci
Real-time updating of dynamic social networks for COVID-19 vaccination strategies. J. Ambient Intell. Humaniz. Comput. 15 (3) (2024)
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 (2023)
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. J. Sci. Comput. 94 (1) (2023)
Ryan Ong, Jiahao Sun, Ovidiu Serban, Yi-Ke Guo
TKGQA Dataset: Using Question Answering to Guide and Validate the Evolution of Temporal Knowledge Graph. Data 8 (3) (2023)
Sibo Cheng, Yufang Jin, Sandy P. Harrison, César Quilodrán Casas, Iain Colin Prentice, Yi-Ke Guo, Rossella Arcucci
Parameter Flexible Wildfire Prediction Using Machine Learning Techniques: Forward and Inverse Modelling. Remote. Sens. 14 (13) (2022)
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 (2022)
Sibo Cheng, Iain Colin Prentice, Yuhan Huang, Yufang Jin, Yi-Ke Guo, Rossella Arcucci
Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting. J. Comput. Phys. 464 (2022)
Julian Mack, Rossella Arcucci, Miguel Molina-Solana, Yi-Ke Guo
Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation. CoRR (2021)
Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, Paul Linden, Yi-Ke Guo
Data Assimilation in the Latent Space of a Convolutional Autoencoder. ICCS (5) (2021)
Rossella Arcucci, César Quilodrán Casas, Aniket Joshi, Asiri Obeysekara, Laetitia Mottet, Yi-Ke Guo, Christopher C. Pain
Merging Real Images with Physics Simulations via Data Assimilation. Euro-Par Workshops (2021)
Robin Hendrickx, Rossella Arcucci, Julio Amador Díaz López, Yi-Ke Guo, Mark Kennedy
Correcting public opinion trends through Bayesian data assimilation. CoRR (2021)
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 (2021)
Pratha Khandelwal, Philip Nadler, Rossella Arcucci, William J. Knottenbelt, Yi-Ke Guo
A Scalable Inference Method For Large Dynamic Economic Systems. CoRR (2021)
Rossella Arcucci, Lamya Moutiq, Yi-Ke Guo
Neural Assimilation. ICCS (6) (2020)
Tolga Hasan Dur, Rossella Arcucci, Laetitia Mottet, Miguel Molina-Solana, Christopher C. Pain, Yi-Ke Guo
Weak Constraint Gaussian Processes for optimal sensor placement. J. Comput. Sci. 42 (2020)
Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, Paul Linden, Yi-Ke Guo
Data Assimilation in the Latent Space of a Neural Network. CoRR (2020)
Philip Nadler, Rossella Arcucci, Yi-Ke Guo
Data Assimilation for Parameter Estimation in Economic Modelling. SITIS (2019)
Philip Nadler, Rossella Arcucci, Yi-Ke Guo
A Scalable Approach to Econometric Inference. PARCO (2019)
Rossella Arcucci, Laetitia Mottet, César A. Quilodrán Casas, Florian Guitton, Christopher C. Pain, Yi-Ke Guo
Adaptive Domain Decomposition for Effective Data Assimilation. Euro-Par Workshops (2019)
Rossella Arcucci, César Quilodrán Casas, Dunhui Xiao, Laetitia Mottet, Fangxin Fang, Pin Wu, Christopher C. Pain, Yi-Ke Guo
A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA). PARCO (2019)
Rossella Arcucci, Laetitia Mottet, Christopher C. Pain, Yi-Ke Guo
Optimal reduced space for Variational Data Assimilation. J. Comput. Phys. 379 (2019)
Edward M. Lim, Miguel Molina-Solana, Christopher C. Pain, Yi-Ke Guo, Rossella Arcucci
Hybrid Data Assimilation: An Ensemble-Variational Approach. SITIS (2019)
Rossella Arcucci, Christopher C. Pain, Yi-Ke Guo
Effective variational data assimilation in air-pollution prediction. Big Data Min. Anal. 1 (4) (2018)
Lei Nie, Xian Yang, Paul M. Matthews, Zhi-Wei Xu, Yi-Ke Guo
Inferring functional connectivity in fMRI using minimum partial correlation. Int. J. Autom. Comput. 14 (4) (2017)
Yi-Ke Guo
Assimilated Learning - Bridging the Gap between Big Data and Smart Data. IoTBDS (2017)
Zhiyun Zheng, Limei Jia, Zhenfei Wang, Yi-Ke Guo
Research on Semantic Similarity Calculation of Linked Data Based on Multiple Factors. CGC (2013)
Yi-Ke Guo, Li Guo
IC cloud: Enabling compositional cloud. Int. J. Autom. Comput. 8 (3) (2011)