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Kaiqun Fu

3 accepted papers

2023

Exploration on Physics-Informed Neural Networks on Partial Differential Equations (Student Abstract)

AAAI 2023technical

Data-driven related solutions are dominating various scientific fields with the assistance of machine learning and data analytics. Finding effective solutions has long been discussed in the area of machine learning. The recent decade has witnessed the promising performance of the Physics-Informed Ne…

Cited by 1SourcePDFScholar
2021

Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications

AAAI 2021technical

Forecasting citations of scientific patents and publications is a crucial task for understanding the evolution and development of technological domains and for foresight into emerging technologies. By construing citations as a time series, the task can be cast into the domain of temporal point proce…