Yi-Ke Guo

29 papers A* 1C 1Journal 18Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Dynamic link prediction: Using language models and graph structures for temporal knowledge graph completion with emerging entities and relations.
Expert Syst. Appl.
Ryan Ong, Jiahao Sun, Yi-Ke Guo, Ovidiu Serban
2024 A* conf
Hierarchical Linear Symbolized Tree-Structured Neural Processes.
KDD
Jinyang Tai, Yi-Ke Guo
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
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 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
TKGQA Dataset: Using Question Answering to Guide and Validate the Evolution of Temporal Knowledge Graph.
Data
Ryan Ong, Jiahao Sun, Ovidiu Serban, Yi-Ke Guo
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
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
2021 J jnl
A Scalable Inference Method For Large Dynamic Economic Systems.
CoRR
Pratha Khandelwal, Philip Nadler, Rossella Arcucci, William J. Knottenbelt, Yi-Ke Guo
2021 J jnl
Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation.
CoRR
Julian Mack, Rossella Arcucci, Miguel Molina-Solana, Yi-Ke Guo
2021 J jnl
Correcting public opinion trends through Bayesian data assimilation.
CoRR
Robin Hendrickx, Rossella Arcucci, Julio Amador Díaz López, Yi-Ke Guo, Mark Kennedy
2021 — conf
Data Assimilation in the Latent Space of a Convolutional Autoencoder.
ICCS (5)
Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, Paul Linden, Yi-Ke Guo
2021 — conf
Merging Real Images with Physics Simulations via Data Assimilation.
Euro-Par Workshops
Rossella Arcucci, César Quilodrán Casas, Aniket Joshi, Asiri Obeysekara, Laetitia Mottet, Yi-Ke Guo, Christopher C. Pain
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 J jnl
Data Assimilation in the Latent Space of a Neural Network.
CoRR
Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, Paul Linden, Yi-Ke Guo
2020 — conf
Neural Assimilation.
ICCS (6)
Rossella Arcucci, Lamya Moutiq, Yi-Ke Guo
2020 J jnl
Weak Constraint Gaussian Processes for optimal sensor placement.
J. Comput. Sci.
Tolga Hasan Dur, Rossella Arcucci, Laetitia Mottet, Miguel Molina-Solana, Christopher C. Pain, Yi-Ke Guo
2019 — conf
A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA).
PARCO
Rossella Arcucci, César Quilodrán Casas, Dunhui Xiao, Laetitia Mottet, Fangxin Fang, Pin Wu, Christopher C. Pain, Yi-Ke Guo
2019 — conf
A Scalable Approach to Econometric Inference.
PARCO
Philip Nadler, Rossella Arcucci, Yi-Ke Guo
2019 — conf
Adaptive Domain Decomposition for Effective Data Assimilation.
Euro-Par Workshops
Rossella Arcucci, Laetitia Mottet, César A. Quilodrán Casas, Florian Guitton, Christopher C. Pain, Yi-Ke Guo
2019 — conf
Data Assimilation for Parameter Estimation in Economic Modelling.
SITIS
Philip Nadler, Rossella Arcucci, Yi-Ke Guo
2019 — conf
Hybrid Data Assimilation: An Ensemble-Variational Approach.
SITIS
Edward M. Lim, Miguel Molina-Solana, Christopher C. Pain, Yi-Ke Guo, Rossella Arcucci
2019 J jnl
Optimal reduced space for Variational Data Assimilation.
J. Comput. Phys.
Rossella Arcucci, Laetitia Mottet, Christopher C. Pain, Yi-Ke Guo
2018 J jnl
Effective variational data assimilation in air-pollution prediction.
Big Data Min. Anal.
Rossella Arcucci, Christopher C. Pain, Yi-Ke Guo
2017 C conf
Assimilated Learning - Bridging the Gap between Big Data and Smart Data.
IoTBDS
Yi-Ke Guo
2017 J jnl
Inferring functional connectivity in fMRI using minimum partial correlation.
Int. J. Autom. Comput.
Lei Nie, Xian Yang, Paul M. Matthews, Zhi-Wei Xu, Yi-Ke Guo
2013 — conf
Research on Semantic Similarity Calculation of Linked Data Based on Multiple Factors.
CGC
Zhiyun Zheng, Limei Jia, Zhenfei Wang, Yi-Ke Guo
2011 J jnl
IC cloud: Enabling compositional cloud.
Int. J. Autom. Comput.
Yi-Ke Guo, Li Guo