Schyler C. Sun

Affiliations:
  • Cranfield University, Bedford, UK


According to our database1, Schyler C. Sun authored at least 15 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Correction to: Scarce data driven deep learning of drones via generalized data distribution space.
Neural Comput. Appl., January, 2024

2023
Scarce data driven deep learning of drones via generalized data distribution space.
Neural Comput. Appl., July, 2023

Federated Transformed Learning for a Circular, Secure, and Tiny AI.
CoRR, 2023

Federated Learning of Wireless Network Experience Anomalies Using Consumer Sentiment.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2023

Exploring Potential Causal Models for Climate-Society-Conflict Interaction.
Proceedings of the 8th International Conference on Complexity, 2023

2022
Graph Layer Security: Encrypting Information via Common Networked Physics.
Sensors, 2022

Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Forecasting Wireless Demand with Extreme Values using Feature Embedding in Gaussian Processes.
Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

Scalable Partial Explainability in Neural Networks via Flexible Activation Functions (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Trustworthy Deep Learning in 6G-Enabled Mass Autonomy: From Concept to Quality-of-Trust Key Performance Indicators.
IEEE Veh. Technol. Mag., 2020

Sampling and Inference of Networked Dynamics Using Log-Koopman Nonlinear Graph Fourier Transform.
IEEE Trans. Signal Process., 2020

Scalable Partial Explainability in Neural Networks via Flexible Activation Functions.
CoRR, 2020

Graph Layer Security: Encrypting Information via Common Networked Physics.
CoRR, 2020

Approximate Symbolic Explanation for Neural Network Enabled Water-Filling Power Allocation.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Uncertainty Propagation in Neural Network Enabled Multi-Channel Optimisation.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020


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