Ze Cao

According to our database1, Ze Cao authored at least 9 papers between 2014 and 2024.

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Bibliography

2024
Spoken language understanding via graph contrastive learning on the context-aware graph convolutional network.
Pattern Anal. Appl., December, 2024

2023
InDL: A New Datasets and Benchmark for In-Diagram Logic Interpreting based on Visual Illusion.
CoRR, 2023

2022
Hypergraph Neural Network Hawkes Process.
Proceedings of the International Joint Conference on Neural Networks, 2022

Hawkes Process via Graph Contrastive Discriminant Representation Learning and Transformer Capturing Long-Term Dependencies.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems.
Big Data, 2020

PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

2019
Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids.
CoRR, 2019

2014
An Improved Authenticated Skip List for Relational Query Authentication.
Proceedings of the Ninth International Conference on Broadband and Wireless Computing, 2014


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