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08/28/2023
BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition
In real-world scenarios like traffic and energy, massive time-series dat...
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09/03/2022
Deep Stable Representation Learning on Electronic Health Records
Deep learning models have achieved promising disease prediction performa...
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07/14/2022
Improving Multi-Interest Network with Stable Learning
Modeling users' dynamic preferences from historical behaviors lies at th...
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05/18/2022
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation
Sequential recommendation (SR) aims to model users' dynamic preferences ...
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12/13/2021
Sequential Recommendation with Bidirectional Chronological Augmentation of Transformer
Sequential recommendation can capture user chronological preferences fro...
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06/09/2021
Any equation is a forest: Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE)
Partial differential equations (PDEs) are concise and understandable rep...
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06/02/2021
KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients
Partial differential equations (PDEs) fitting scientific data can repres...
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02/08/2021
STAN: Spatio-Temporal Attention Network for Next Location Recommendation
The next location recommendation is at the core of various location-base...
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11/14/2020
Deep Spatial Learning with Molecular Vibration
Machine learning over-fitting caused by data scarcity greatly limits the...
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11/11/2020
