Adversarial Transfer Learning for Machine Remaining Useful Life Prediction. - Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (ICPHM, 2020)

Secure Transfer Learning for Machine Fault Diagnosis Under Different Operating Conditions. - Chao Jin 002; Mohamed Ragab 002; Khin Mi Mi Aung (ProvSec, 2020)

Attention Sequence to Sequence Model for Machine Remaining Useful Life Prediction. - Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee-Keong Kwoh 001; Ruqiang Yan 001; Xiaoli Li 001 (CoRR, 2020)

Compressive sensing MRI reconstruction using empirical wavelet transform and grey wolf optimizer. - Mohamed Ragab 002; Osama Ahmed Omer; Mohamed Abdel-Nasser (Neural Comput. Appl., 2020)

Robust Domain-Free Domain Generalization with Class-Aware Alignment. - Wenyu Zhang 003; Mohamed Ragab 002; Ramón Sagarna (ICASSP, 2021)

Time-Series Representation Learning via Temporal and Contextual Contrasting. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001; Cuntai Guan (IJCAI, 2021)

Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001; Cuntai Guan (CoRR, 2021)

Attention-based sequence to sequence model for machine remaining useful life prediction. - Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Ruqiang Yan 001; Xiaoli Li 001 (Neurocomputing, 2021)

Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction. - Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chuan Sheng Foo; Chee Keong Kwoh 001; Ruqiang Yan 001; Xiaoli Li 001 (IEEE Trans. Ind. Informatics, 2021)

Adversarial Multiple-Target Domain Adaptation for Fault Classification. - Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Haoliang Li; Chee-Keong Kwoh 001; Ruqiang Yan 001; Xiaoli Li 001 (IEEE Trans. Instrum. Meas., 2021)

Domain Generalization via Selective Consistency Regularization for Time Series Classification. - Wenyu Zhang 003; Mohamed Ragab 002; Chuan-Sheng Foo (ICPR, 2022)

Beat-Based PPG-ABP Cleaning Technique for Blood Pressure Estimation. - Mostafa Salah; Osama A. Omer; Loay Hassan; Mohamed Ragab 002; Ammar Mostafa Hassan; Ahmed Abdelreheem 001 (IEEE Access, 2022)

Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (CoRR, 2022)

CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (CoRR, 2022)

Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks. - Qing Xu 015; Zhenghua Chen; Mohamed Ragab 002; Chao Wang 003; Min Wu 008; Xiaoli Li 001 (Neurocomputing, 2022)

Conditional Contrastive Domain Generalization for Fault Diagnosis. - Mohamed Ragab 002; Zhenghua Chen; Wenyu Zhang 003; Emadeldeen Eldele; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (IEEE Trans. Instrum. Meas., 2022)

Towards practical data-driven predictive maintenance: a robust and generalizable deep learning approach - Mohamed Ragab 002 (2022)

AA-DL: AoI-Aware Deep Learning Approach for D2D-Assisted Industrial IoT. - Hossam M. Farag; Mohamed Ragab 002; Cedomir Stefanovic (GCAIoT, 2023)

Source-Free Domain Adaptation with Temporal Imputation for Time Series Data. - Mohamed Ragab 002; Emadeldeen Eldele; Min Wu 008; Chuan-Sheng Foo; Xiaoli Li 001; Zhenghua Chen (KDD, 2023)

ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data. - Mohamed Ragab 002; Emadeldeen Eldele; Wee Ling Tan; Chuan-Sheng Foo; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (ACM Trans. Knowl. Discov. Data, 2023)

ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee-Keong Kwoh 001; Xiaoli Li 001; Cuntai Guan (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Diverse and consistent multi-view networks for semi-supervised regression. - Cuong Manh Nguyen; Arun Raja; Le Zhang 001; Xun Xu 002; Balagopal Unnikrishnan; Mohamed Ragab 002; Kangkang Lu 001; Chuan-Sheng Foo (Mach. Learn., 2023)

Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee-Keong Kwoh 001; Xiaoli Li 001; Cuntai Guan (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias. - Wenyu Zhang 003; Qingmu Liu; Felix Ong Wei Cong; Mohamed Ragab 002; Chuan-Sheng Foo (CVPR, 2024)

Unsupervised Fingerphoto Presentation Attack Detection With Diffusion Models. - Hailin Li; Raghavendra Ramachandra; Mohamed Ragab 002; Soumik Mondal; Yong Kiam Tan; Khin Mi Mi Aung (IJCB, 2024)

TSLANet: Rethinking Transformers for Time Series Representation Learning. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Xiaoli Li 001 (ICML, 2024)

Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation. - Mohamed Ragab 002; Peiliang Gong; Emadeldeen Eldele; Wenyu Zhang 003; Min Wu 008; Chuan-Sheng Foo; Daoqiang Zhang; Xiaoli Li 001; Zhenghua Chen (CoRR, 2024)

EverAdapt: Continuous Adaptation for Dynamic Machine Fault Diagnosis Environments. - Edward; Mohamed Ragab 002; Min Wu 008; Yuecong Xu; Zhenghua Chen; Abdulla Alseiari; Xiaoli Li 001 (CoRR, 2024)

Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis. - Ziyan Wang; Mohamed Ragab 002; Wenmian Yang; Min Wu 008; Sinno Jialin Pan; Jie Zhang 002; Zhenghua Chen (IEEE Trans. Instrum. Meas., 2024)

Self-Supervised Autoregressive Domain Adaptation for Time Series Data. - Mohamed Ragab 002; Emadeldeen Eldele; Zhenghua Chen; Min Wu 008; Chee-Keong Kwoh 001; Xiaoli Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Contrastive Domain Adaptation for Time-Series Via Temporal Mixup. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (IEEE Trans. Artif. Intell., 2024)

Label-Efficient Time Series Representation Learning: A Review. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiao-Li Li 001 (IEEE Trans. Artif. Intell., 2024)

Unsupervised Domain Adaptation with Contrastive Learning for Classifying Breast Lesions in Mammograms. - Mariam M. Hassan; Mohamed Ragab 002; Mohamed Abdel-Nasser; Domenec Puig (CBMS, 2025)

Proactive Radio Resource Allocation for 6G In-Factory Subnetworks. - Hossam M. Farag; Mohamed Ragab 002; Gilberto Berardinelli; Cedomir Stefanovic (IWCMC, 2025)

Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation. - Peiliang Gong; Mohamed Ragab 002; Min Wu 008; Zhenghua Chen; Yongyi Su; Xiaoli Li 001; Daoqiang Zhang (KDD (1), 2025)

Evidential Domain Adaptation for Remaining Useful Life Prediction With Incomplete Degradation. - Yubo Hou; Mohamed Ragab 002; Yucheng Wang 001; Min Wu 008; Abdulla Alseiari; Chee Keong Kwoh 001; Xiaoli Li 001; Zhenghua Chen (IEEE Trans. Instrum. Meas., 2025)

I Can Find You in Seconds! Leveraging Large Language Models for Code Authorship Attribution. - Soohyeon Choi; Yong Kiam Tan; Mark Huasong Meng; Mohamed Ragab 002; Soumik Mondal; David Mohaisen; Khin Mi Mi Aung (CoRR, 2025)

UniFault: A Fault Diagnosis Foundation Model from Bearing Data. - Emadeldeen Eldele; Mohamed Ragab 002; Xu Qing; Edward; Zhenghua Chen; Min Wu 008; Xiaoli Li 001; Jay Lee (CoRR, 2025)

A Virtual-Label-Based Hierarchical Domain Adaptation Method for Time-Series Classification. - Wenmian Yang; Lizhi Cheng; Mohamed Ragab 002; Min Wu 008; Sinno Jialin Pan; Zhenghua Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)