Mohamed Ragab

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 37

Top Topics

Transfer Learning

Domain Adaptation

Top Venues

IEEE Trans. Instrum. Meas.

Publications

Wenyu Zhang, Qingmu Liu, Felix Ong Wei Cong, Mohamed Ragab, Chuan-Sheng Foo
Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias. CoRR (2024)
Mohamed Ragab, Peiliang Gong, Emadeldeen Eldele, Wenyu Zhang, Min Wu, Chuan-Sheng Foo, Daoqiang Zhang, Xiaoli Li, Zhenghua Chen
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation. CoRR (2024)
Edward, Mohamed Ragab, Min Wu, Yuecong Xu, Zhenghua Chen, Abdulla Alseiari, Xiaoli Li
EverAdapt: Continuous Adaptation for Dynamic Machine Fault Diagnosis Environments. CoRR (2024)
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Xiaoli Li
TSLANet: Rethinking Transformers for Time Series Representation Learning. CoRR (2024)
Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li
Self-Supervised Autoregressive Domain Adaptation for Time Series Data. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Ziyan Wang, Mohamed Ragab, Wenmian Yang, Min Wu, Sinno Jialin Pan, Jie Zhang, Zhenghua Chen
Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis. CoRR (2024)
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
Contrastive Domain Adaptation for Time-Series Via Temporal Mixup. IEEE Trans. Artif. Intell. 5 (3) (2024)
Mohamed Ragab, Emadeldeen Eldele, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Zhenghua Chen
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data. KDD (2023)
Cuong Manh Nguyen, Arun Raja, Le Zhang, Xun Xu, Balagopal Unnikrishnan, Mohamed Ragab, Kangkang Lu, Chuan-Sheng Foo
Diverse and consistent multi-view networks for semi-supervised regression. Mach. Learn. 112 (7) (2023)
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
Label-efficient Time Series Representation Learning: A Review. CoRR (2023)
Mohamed Ragab, Emadeldeen Eldele, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Zhenghua Chen
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data. CoRR (2023)
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan
Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan
ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training. IEEE Trans. Emerg. Top. Comput. Intell. 7 (1) (2023)
Hossam M. Farag, Mohamed Ragab, Cedomir Stefanovic
AA-DL: AoI-Aware Deep Learning Approach for D2D-Assisted Industrial IoT. GCAIoT (2023)
Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data. ACM Trans. Knowl. Discov. Data 17 (8) (2023)
Qing Xu, Zhenghua Chen, Mohamed Ragab, Chao Wang, Min Wu, Xiaoli Li
Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks. Neurocomputing 485 (2022)
Mostafa Salah, Osama A. Omer, Loay Hassan, Mohamed Ragab, Ammar Mostafa Hassan, Ahmed Abdelreheem
Beat-Based PPG-ABP Cleaning Technique for Blood Pressure Estimation. IEEE Access 10 (2022)
Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data. CoRR (2022)
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup. CoRR (2022)
Wenyu Zhang, Mohamed Ragab, Chuan-Sheng Foo
Domain Generalization via Selective Consistency Regularization for Time Series Classification. ICPR (2022)
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation. CoRR (2022)
Mohamed Ragab, Zhenghua Chen, Wenyu Zhang, Emadeldeen Eldele, Min Wu, Chee Keong Kwoh, Xiaoli Li
Conditional Contrastive Domain Generalization for Fault Diagnosis. IEEE Trans. Instrum. Meas. 71 (2022)
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification. CoRR (2022)
Wenyu Zhang, Mohamed Ragab, Chuan-Sheng Foo
Domain Generalization via Selective Consistency Regularization for Time Series Classification. CoRR (2022)
Mohamed Ragab, Zhenghua Chen, Min Wu, Chuan Sheng Foo, Chee Keong Kwoh, Ruqiang Yan, Xiaoli Li
Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction. IEEE Trans. Ind. Informatics 17 (8) (2021)
Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Ruqiang Yan, Xiaoli Li
Attention-based sequence to sequence model for machine remaining useful life prediction. Neurocomputing 466 (2021)
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification. CoRR (2021)
Mohamed Ragab, Zhenghua Chen, Min Wu, Haoliang Li, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li
Adversarial Multiple-Target Domain Adaptation for Fault Classification. IEEE Trans. Instrum. Meas. 70 (2021)
Wenyu Zhang, Mohamed Ragab, Ramón Sagarna
Robust Domain-Free Domain Generalization with Class-aware Alignment. CoRR (2021)
Wenyu Zhang, Mohamed Ragab, Ramón Sagarna
Robust Domain-Free Domain Generalization with Class-Aware Alignment. ICASSP (2021)
Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li
Self-supervised Autoregressive Domain Adaptation for Time Series Data. CoRR (2021)
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
Time-Series Representation Learning via Temporal and Contextual Contrasting. CoRR (2021)
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
Time-Series Representation Learning via Temporal and Contextual Contrasting. IJCAI (2021)
Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li
Attention Sequence to Sequence Model for Machine Remaining Useful Life Prediction. CoRR (2020)
Chao Jin, Mohamed Ragab, Khin Mi Mi Aung
Secure Transfer Learning for Machine Fault Diagnosis Under Different Operating Conditions. ProvSec (2020)
Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
Adversarial Transfer Learning for Machine Remaining Useful Life Prediction. ICPHM (2020)
Mohamed Ragab, Osama Ahmed Omer, Mohamed Abdel-Nasser
Compressive sensing MRI reconstruction using empirical wavelet transform and grey wolf optimizer. Neural Comput. Appl. 32 (7) (2020)