Publications

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan (2023). Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).

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Mohamed Ragab, Emadeldeen Eldele, Min Wu, Chaun-Sheng Foo, Xiaoli Li, Zhenghua Chen (2023). Source-Free Domain Adaptation with Temporal Imputation for Time Series Data. Knowledge Discovery and Data Mining (KDD).

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Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan (2023). Self-Supervised Learning for LabelEfficient Sleep Stage Classification:A Comprehensive Evaluation. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (TNSRE).

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Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li (2023). Contrastive Domain Adaptation for Time-Series via Temporal Mixup. IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE (TAI).

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Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chaun-Sheng Foo, Zhenghua Chen, Min Wu, Xiaoli Li, Chee-Keong Kwoh (2023). AdaTime:A Benchmarking Suite for Domain Adaptation on Time Series Data. ACM Transactions on Knowledge Discovery from Data (TKDD).

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Mohamed Ragab, Zhenghua Chen, Min Wu, Foo, Chuan Sheng, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li (2022). Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction. IEEE Transactions on Industrial Informatics.

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Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li (2022). Self-supervised Autoregressive Domain Adaptation for Time Series Data. In IEEE TNNLS.

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Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan (2022). Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training. IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI).

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Mohamed Ragab, Zhenghua Chen, Wenyu Zhang, Emadeldeen Eldele, Min Wu, Chee-Keong Kwoh, Xiaoli Li (2022). Conditional Contrastive Domain Generalization for Fault Diagnosis. In IEEE Transactions on Instrumentation and Measurement.

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Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li (2022). Attention-based sequence to sequence model for machine remaining useful life prediction. In Neurocomputing, Elsevier.

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Wenyu Zhang, Mohamed Ragab, Ramon Sagarna (2021). Robust Domain-free Domain Generalization with Class-aware alignment. In IEEE ICASSP.

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Chao Jin, Mohamed Ragab, Khin Mi Mi Aung (2021). Secure Transfer Learning for Machine Fault Diagnosis Under Different Operating Conditions. In ProvSec.

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Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli L (2021). Adversarial Multiple-Target Domain Adaptation for Fault Classification. IEEE Transactions on Instrumentation and Measurement.

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Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan (2021). Time Series Representation Learning via Temporal and Contextual Contrasting. In International Joint Conference of Artificial Intelligence, IJCAI, 2021.

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Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli L (2020). Adversarial Transfer Learning for Machine Remaining Useful Life Prediction. IEEE International Conference on Prognostics and Health Management.

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Qing Xu, Zhenghua Chen, Mohamed Ragab, Chao Wing, Min Wu, Xiaoli Li (2020). Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks. In Neurocomputing, Elsevier.

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