Publications


PhD Research


TimeSeries Representation Learning via Temporal and Contextual Contrasting


Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan

International Joint Conference of Artificial Intelligence, IJCAI, 2021


Self-supervised Autoregressive Domain Adaptation for Time Series Data


Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li

IEEE Transactions on Neural Networks and Learning Systems (Under Review)


Attention Sequence to Sequence Model for Machine Remaining Useful Life Prediction


Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong, Kwoh, Ruqiang Yan, Xiaoli Li

Neurocomputing, Elsevier


Contrastive Adversarial Knowledge Distillation for Deep Model Compression in Time-Series Regression Tasks


Qing Xu, Zhenghua Chen, Mohamed Ragab, Chao Wang, Min Wu, Xiaoli Li

Neurocomputing


Robust Domain-free Domain Generalization with Class-aware alignment


Wenyu Zhang, Mohamed Ragab, Ramon Sagarna

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)


Secure Transfer Learning for Machine Fault Diagnosis Under Different Operating Conditions


Chao Jin, Mohamed Ragab, Khin Mi Mi Aung

Khoa Nguyen, Wenling Wu, Kwok Yan Lam, Huaxiong Wang, Provable and Practical Security, Springer International Publishing, Cham, 2020, pp. 278--297


Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction


Mohamed Ragab, Zhenghua Chen, Min Wu, Chuan Sheng Foo, Kwoh Chee Keong, Ruqiang Yan, Xiao-Li Li

IEEE Transactions on Industrial Informatics, 2020, pp. 1--1


Adversarial Transfer Learning for Machine Remaining Useful Life Prediction (Finalist Award)


Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li

2020 IEEE International Conference on Prognostics and Health Management (ICPHM), IEEE, 2020, pp. 1--7


Adversarial Multiple-Target Domain Adaptation for Fault Classification


Mohamed Ragab, Zhenghua Chen, Min Wu, Haoliang Li, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li

IEEE Transactions on Instrumentation and Measurement, vol. 70, IEEE, 2020, pp. 1--11


MSc Research


Compressive sensing MRI reconstruction using empirical wavelet transform and grey wolf optimizer


Mohamed Ragab, Osama A Omer, Mohamed Abdel-Nasser

Neural Computing and Applications, Springer, 2018, pp. 1--20


Compressive sensing MRI using dual tree complex wavelet transform with wavelet tree sparsity


Mohamed Ragab, Osama A Omer, Hany S Hussien

2017 34th National Radio Science Conference (NRSC), IEEE, 2017, pp. 481--486

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