Mohamed Ragab - RankMe

61 papers A* 4B 4C 1Misc 1Journal 47Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Boosting Time-Series Domain Adaptation via A Time-Frequency Consensus Framework. IEEE Trans. Artif. Intell. Wenmian Yang, Mohamed Ragab, Min Wu, Sinno Jialin Pan, Guosheng Lin, Weijia Jia, Zhenghua Chen
2026	J	`jnl`	Evidential Domain Adaptation for Remaining Useful Life Prediction with Incomplete Degradation. CoRR Yubo Hou, Mohamed Ragab, Yucheng Wang, Min Wu, Abdulla Alseiari, Chee Keong Kwoh, Xiaoli Li, Zhenghua Chen
2026	J	`jnl`	Evidentially Calibrated Source-Free Time-Series Domain Adaptation With Temporal Imputation. IEEE Trans. Knowl. Data Eng. Mohamed Ragab, Peiliang Gong, Emadeldeen Eldele, Wenyu Zhang, Min Wu, Chuan-Sheng Foo, Daoqiang Zhang, Xiaoli Li, Zhenghua Chen
2026	J	`jnl`	From Inconsistency to Unity: Benchmarking Deep Learning-Based Unsupervised Domain Adaptation for RUL. IEEE Trans Autom. Sci. Eng. Tilman Krokotsch, Mohamed Ragab, Min Wu, Xiaoli Li, Zhenghua Chen, Clemens Gühmann
2026	J	`jnl`	Target-Specific Adaptation and Consistent Degradation Alignment for Cross-Domain Remaining Useful Life Prediction. IEEE Trans Autom. Sci. Eng. Yubo Hou, Mohamed Ragab, Min Wu, Chee Keong Kwoh, Xiaoli Li, Zhenghua Chen
2025	J	`jnl`	A Virtual-Label-Based Hierarchical Domain Adaptation Method for Time-Series Classification. IEEE Trans. Neural Networks Learn. Syst. Wenmian Yang, Lizhi Cheng, Mohamed Ragab, Min Wu, Sinno Jialin Pan, Zhenghua Chen
2025	—	`conf`	Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation. KDD (1) Peiliang Gong, Mohamed Ragab, Min Wu, Zhenghua Chen, Yongyi Su, Xiaoli Li, Daoqiang Zhang
2025	J	`jnl`	Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation. CoRR Peiliang Gong, Mohamed Ragab, Min Wu, Zhenghua Chen, Yongyi Su, Xiaoli Li, Daoqiang Zhang
2025	J	`jnl`	Deep Domain Adaptation for Turbofan Engine Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends. CoRR Yucheng Wang, Mohamed Ragab, Yubo Hou, Zhenghua Chen, Min Wu, Xiaoli Li
2025	J	`jnl`	Evidential Domain Adaptation for Remaining Useful Life Prediction With Incomplete Degradation. IEEE Trans. Instrum. Meas. Yubo Hou, Mohamed Ragab, Yucheng Wang, Min Wu, Abdulla Alseiari, Chee Keong Kwoh, Xiaoli Li, Zhenghua Chen
2025	J	`jnl`	I Can Find You in Seconds! Leveraging Large Language Models for Code Authorship Attribution. CoRR Soohyeon Choi, Yong Kiam Tan, Mark Huasong Meng, Mohamed Ragab, Soumik Mondal, David Mohaisen, Khin Mi Mi Aung
2025	B	`conf`	Proactive Radio Resource Allocation for 6G In-Factory Subnetworks. IWCMC Hossam M. Farag, Mohamed Ragab, Gilberto Berardinelli, Cedomir Stefanovic
2025	J	`jnl`	Proactive Radio Resource Allocation for 6G In-Factory Subnetworks. CoRR Hossam M. Farag, Mohamed Ragab, Gilberto Berardinelli, Cedomir Stefanovic
2025	J	`jnl`	Target-specific Adaptation and Consistent Degradation Alignment for Cross-Domain Remaining Useful Life Prediction. CoRR Yubo Hou, Mohamed Ragab, Min Wu, Chee Keong Kwoh, Xiao-Li Li, Zhenghua Chen
2025	J	`jnl`	UniFault: A Fault Diagnosis Foundation Model from Bearing Data. CoRR Emadeldeen Eldele, Mohamed Ragab, Xu Qing, Edward, Zhenghua Chen, Min Wu, Xiaoli Li, Jay Lee
2025	B	`conf`	Unsupervised Domain Adaptation with Contrastive Learning for Classifying Breast Lesions in Mammograms. CBMS Mariam M. Hassan, Mohamed Ragab, Mohamed Abdel-Nasser, Domenec Puig
2024	J	`jnl`	Contrastive Domain Adaptation for Time-Series Via Temporal Mixup. IEEE Trans. Artif. Intell. Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2024	J	`jnl`	EverAdapt: Continuous Adaptation for Dynamic Machine Fault Diagnosis Environments. CoRR Edward, Mohamed Ragab, Min Wu, Yuecong Xu, Zhenghua Chen, Abdulla Alseiari, Xiaoli Li
2024	J	`jnl`	Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation. CoRR Mohamed Ragab, Peiliang Gong, Emadeldeen Eldele, Wenyu Zhang, Min Wu, Chuan-Sheng Foo, Daoqiang Zhang, Xiaoli Li, Zhenghua Chen
2024	J	`jnl`	Label-Efficient Time Series Representation Learning: A Review. IEEE Trans. Artif. Intell. Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiao-Li Li
2024	J	`jnl`	Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis. CoRR Ziyan Wang, Mohamed Ragab, Wenmian Yang, Min Wu, Sinno Jialin Pan, Jie Zhang, Zhenghua Chen
2024	J	`jnl`	Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis. IEEE Trans. Instrum. Meas. Ziyan Wang, Mohamed Ragab, Wenmian Yang, Min Wu, Sinno Jialin Pan, Jie Zhang, Zhenghua Chen
2024	J	`jnl`	Self-Supervised Autoregressive Domain Adaptation for Time Series Data. IEEE Trans. Neural Networks Learn. Syst. Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li
2024	A*	`conf`	TSLANet: Rethinking Transformers for Time Series Representation Learning. ICML Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Xiaoli Li
2024	J	`jnl`	TSLANet: Rethinking Transformers for Time Series Representation Learning. CoRR Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Xiaoli Li
2024	A*	`conf`	Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias. CVPR Wenyu Zhang, Qingmu Liu, Felix Ong Wei Cong, Mohamed Ragab, Chuan-Sheng Foo
2024	J	`jnl`	Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias. CoRR Wenyu Zhang, Qingmu Liu, Felix Ong Wei Cong, Mohamed Ragab, Chuan-Sheng Foo
2024	B	`conf`	Unsupervised Fingerphoto Presentation Attack Detection With Diffusion Models. IJCB Hailin Li, Raghavendra Ramachandra, Mohamed Ragab, Soumik Mondal, Yong Kiam Tan, Khin Mi Mi Aung
2024	J	`jnl`	Unsupervised Fingerphoto Presentation Attack Detection With Diffusion Models. CoRR Hailin Li, Raghavendra Ramachandra, Mohamed Ragab, Soumik Mondal, Yong Kiam Tan, Khin Mi Mi Aung
2023	—	`conf`	AA-DL: AoI-Aware Deep Learning Approach for D2D-Assisted Industrial IoT. GCAIoT Hossam M. Farag, Mohamed Ragab, Cedomir Stefanovic
2023	J	`jnl`	AA-DL: AoI-Aware Deep Learning Approach for D2D-Assisted Industrial IoT. CoRR Hossam M. Farag, Mohamed Ragab, Cedomir Stefanovic
2023	J	`jnl`	ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training. IEEE Trans. Emerg. Top. Comput. Intell. Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan
2023	J	`jnl`	ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data. ACM Trans. Knowl. Discov. Data Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2023	J	`jnl`	Diverse and consistent multi-view networks for semi-supervised regression. Mach. Learn. Cuong Manh Nguyen, Arun Raja, Le Zhang, Xun Xu, Balagopal Unnikrishnan, Mohamed Ragab, Kangkang Lu, Chuan-Sheng Foo
2023	J	`jnl`	Label-efficient Time Series Representation Learning: A Review. CoRR Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2023	J	`jnl`	Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification. IEEE Trans. Pattern Anal. Mach. Intell. Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan
2023	A*	`conf`	Source-Free Domain Adaptation with Temporal Imputation for Time Series Data. KDD Mohamed Ragab, Emadeldeen Eldele, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Zhenghua Chen
2023	J	`jnl`	Source-Free Domain Adaptation with Temporal Imputation for Time Series Data. CoRR Mohamed Ragab, Emadeldeen Eldele, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Zhenghua Chen
2022	J	`jnl`	ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data. CoRR Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2022	J	`jnl`	Beat-Based PPG-ABP Cleaning Technique for Blood Pressure Estimation. IEEE Access Mostafa Salah, Osama A. Omer, Loay Hassan, Mohamed Ragab, Ammar Mostafa Hassan, Ahmed Abdelreheem
2022	J	`jnl`	CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup. CoRR Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2022	J	`jnl`	Conditional Contrastive Domain Generalization for Fault Diagnosis. IEEE Trans. Instrum. Meas. Mohamed Ragab, Zhenghua Chen, Wenyu Zhang, Emadeldeen Eldele, Min Wu, Chee Keong Kwoh, Xiaoli Li
2022	J	`jnl`	Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks. Neurocomputing Qing Xu, Zhenghua Chen, Mohamed Ragab, Chao Wang, Min Wu, Xiaoli Li
2022	B	`conf`	Domain Generalization via Selective Consistency Regularization for Time Series Classification. ICPR Wenyu Zhang, Mohamed Ragab, Chuan-Sheng Foo
2022	J	`jnl`	Domain Generalization via Selective Consistency Regularization for Time Series Classification. CoRR Wenyu Zhang, Mohamed Ragab, Chuan-Sheng Foo
2022	J	`jnl`	Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification. CoRR Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
2022	J	`jnl`	Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation. CoRR Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2022	—	`—`	Towards practical data-driven predictive maintenance: a robust and generalizable deep learning approach Mohamed Ragab
2021	J	`jnl`	Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification. CoRR Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
2021	J	`jnl`	Adversarial Multiple-Target Domain Adaptation for Fault Classification. IEEE Trans. Instrum. Meas. Mohamed Ragab, Zhenghua Chen, Min Wu, Haoliang Li, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li
2021	J	`jnl`	Attention-based sequence to sequence model for machine remaining useful life prediction. Neurocomputing Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Ruqiang Yan, Xiaoli Li
2021	J	`jnl`	Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction. IEEE Trans. Ind. Informatics Mohamed Ragab, Zhenghua Chen, Min Wu, Chuan Sheng Foo, Chee Keong Kwoh, Ruqiang Yan, Xiaoli Li
2021	Misc	`conf`	Robust Domain-Free Domain Generalization with Class-Aware Alignment. ICASSP Wenyu Zhang, Mohamed Ragab, Ramón Sagarna
2021	J	`jnl`	Robust Domain-Free Domain Generalization with Class-aware Alignment. CoRR Wenyu Zhang, Mohamed Ragab, Ramón Sagarna
2021	J	`jnl`	Self-supervised Autoregressive Domain Adaptation for Time Series Data. CoRR Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li
2021	A*	`conf`	Time-Series Representation Learning via Temporal and Contextual Contrasting. IJCAI Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
2021	J	`jnl`	Time-Series Representation Learning via Temporal and Contextual Contrasting. CoRR Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
2020	—	`conf`	Adversarial Transfer Learning for Machine Remaining Useful Life Prediction. ICPHM Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2020	J	`jnl`	Attention Sequence to Sequence Model for Machine Remaining Useful Life Prediction. CoRR Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li
2020	J	`jnl`	Compressive sensing MRI reconstruction using empirical wavelet transform and grey wolf optimizer. Neural Comput. Appl. Mohamed Ragab, Osama Ahmed Omer, Mohamed Abdel-Nasser
2020	C	`conf`	Secure Transfer Learning for Machine Fault Diagnosis Under Different Operating Conditions. ProvSec Chao Jin, Mohamed Ragab, Khin Mi Mi Aung