Shuhao Shi
Orcid: 0000-0003-2926-8230
According to our database1,
Shuhao Shi
authored at least 19 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
SStackGNN: Graph Data Augmentation Simplified Stacking Graph Neural Network for Twitter Bot Detection.
Int. J. Comput. Intell. Syst., December, 2024
AEM-PCB Reverser: Circuit Schematic Generation in PCB Reverse Engineering Using Reinforcement Learning Based on Aesthetic Evaluation Metric.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2024
Over-Sampling Strategy in Feature Space for Graphs based Class-imbalanced Bot Detection.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Neighborhood Difference-Enhanced Graph Neural Network Based on Hypergraph for Social Bot Detection.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024
Representation Learning across Feature and Topology Views with Output Correction for Graph Convolutional Networks.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
EnNeRFACE: improving the generalization of face reenactment with adaptive ensemble neural radiance fields.
Vis. Comput., December, 2023
Neural Process. Lett., December, 2023
Select and calibrate the low-confidence: dual-channel consistency based graph convolutional networks.
Appl. Intell., December, 2023
An active learning method based on result quality evaluation for printed circuit board computed tomography image segmentation.
IET Image Process., 2023
Muti-scale Graph Neural Network with Signed-attention for Social Bot Detection: A Frequency Perspective.
CoRR, 2023
CoRR, 2023
Over-Sampling Strategy in Feature Space for Graphs based Class-imbalanced Bot Detection.
CoRR, 2023
CoRR, 2023
2021
Frontiers Neurorobotics, 2021
Improving the Transferability of Adversarial Examples With a Noise Data Enhancement Framework and Random Erasing.
Frontiers Neurorobotics, 2021
Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification.
Frontiers Neurorobotics, 2021
Improving the Transferability of Adversarial Examples with New Iteration Framework and Input Dropout.
CoRR, 2021
AdaGCN: Adaptive Boosting Algorithm for Graph Convolutional Networks on Imbalanced Node Classification.
CoRR, 2021