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XU Yangjie

University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SEDAN

ORCID
0000-0003-0991-9673
Main Referenced Co-authors
HUANG, Hui  (3)
STATE, Radu  (3)
Zhang, Jin (1)
Main Referenced Keywords
Computer Networks and Communications (2); Computer Science Applications (2); Agricultural planning (1); Artificial Intelligence (1); Classical modeling (1);
Main Referenced Disciplines
Computer science (3)

Publications (total 3)

The most downloaded
22 downloads
XU, Y., HUANG, H., & STATE, R. (2024). CTQW-GraphSAGE: Trainabel Continuous-Time Quantum Walk On Graph. In M. Wand & J. Schmidhuber (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Proceedings. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-3-031-72344-5_6 https://hdl.handle.net/10993/64867

The most cited

1 citations (WOS)

XU, Y., HUANG, H., & STATE, R. (2024). CTQW-GraphSAGE: Trainabel Continuous-Time Quantum Walk On Graph. In M. Wand & J. Schmidhuber (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Proceedings. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-3-031-72344-5_6 https://hdl.handle.net/10993/64867

XU, Y., HUANG, H., & STATE, R. (2024). Cropland Quantum Learning: A Hybrid Quantum-Classical Neural Network for Cropland Classification. In A. Abdelgawad (Ed.), 2024 IEEE 3rd International Conference on Computing and Machine Intelligence, ICMI 2024 - Proceedings (pp. 1-7). Institute of Electrical and Electronics Engineers Inc. doi:10.1109/ICMI60790.2024.10586099
Peer reviewed

XU, Y., HUANG, H., & STATE, R. (2024). CTQW-GraphSAGE: Trainabel Continuous-Time Quantum Walk On Graph. In M. Wand & J. Schmidhuber (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Proceedings. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-3-031-72344-5_6
Peer reviewed

HUANG, H., XU, Y., Zhang, J., & STATE, R. (2023). NIRWatchdog: Cross-Domain Product Quality Assessment Using Miniaturized Near-Infrared Sensors. IEEE Internet of Things Journal, 1-1. doi:10.1109/jiot.2023.3331948
Peer Reviewed verified by ORBi

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