Emadeldeen Eldele

According to our database, Emadeldeen Eldele authored at least 24 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Adapting LLMs to Time Series Forecasting via Temporal Heterogeneity Modeling and Semantic Alignment.

Yanru Sun, Emadeldeen Eldele, Zongxia Xie, Yucheng Wang, Wenzhe Niu, Qinghua Hu, Chee Keong Kwoh, Min Wu

CoRR, August, 2025

Learning Soft Sparse Shapes for Efficient Time-Series Classification.

Zhen Liu, Yicheng Luo, Boyuan Li, Emadeldeen Eldele, Min Wu, Qianli Ma

CoRR, May, 2025

Bridging Distribution Gaps in Time Series Foundation Model Pretraining with Prototype-Guided Normalization.

Peiliang Gong, Emadeldeen Eldele, Min Wu, Zhenghua Chen, Xiao-Li Li, Daoqiang Zhang

CoRR, April, 2025

UniFault: A Fault Diagnosis Foundation Model from Bearing Data.

Emadeldeen Eldele, Mohamed Ragab, Xu Qing, Edward, Zhenghua Chen, Min Wu, Xiaoli Li, Jay Lee

CoRR, April, 2025

Time Series Domain Adaptation via Latent Invariant Causal Mechanism.

Ruichu Cai, Junxian Huang, Zhenhui Yang, Zijian Li, Emadeldeen Eldele, Min Wu, Fuchun Sun

CoRR, February, 2025

MSA-CNN: A Lightweight Multi-Scale CNN with Attention for Sleep Stage Classification.

Stephan Goerttler, Yucheng Wang, Emadeldeen Eldele, Min Wu, Fei He

CoRR, January, 2025

Hierarchical Classification Auxiliary Network for Time Series Forecasting.

Yanru Sun, Zongxia Xie, Dongyue Chen, Emadeldeen Eldele, Qinghua Hu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Label-Efficient Time Series Representation Learning: A Review.

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

IEEE Trans. Artif. Intell., December, 2024

Contrastive Domain Adaptation for Time-Series Via Temporal Mixup.

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

IEEE Trans. Artif. Intell., March, 2024

Self-Supervised Autoregressive Domain Adaptation for Time Series Data.

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

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift.

Yanru Sun, Zongxia Xie, Emadeldeen Eldele, Dongyue Chen, Qinghua Hu, Min Wu

CoRR, 2024

Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation.

Mohamed Ragab, Peiliang Gong, Emadeldeen Eldele, Wenyu Zhang, Min Wu, Chuan-Sheng Foo, Daoqiang Zhang, Xiaoli Li, Zhenghua Chen

CoRR, 2024

ECGTransForm: Empowering adaptive ECG arrhythmia classification framework with bidirectional transformer.

Hany A. El-Ghaish, Emadeldeen Eldele

Biomed. Signal Process. Control., 2024

TSLANet: Rethinking Transformers for Time Series Representation Learning.

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Xiaoli Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Bi-hemisphere Interaction Convolutional Neural Network for Motor Imagery Classification.

Xiaohao Lin, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Han Wei Ng, Cuntai Guan

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification.

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

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training.

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

IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data.

Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li

ACM Trans. Knowl. Discov. Data, 2023

Source-Free Domain Adaptation with Temporal Imputation for Time Series Data.

Mohamed Ragab, Emadeldeen Eldele, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Zhenghua Chen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Conditional Contrastive Domain Generalization for Fault Diagnosis.

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

IEEE Trans. Instrum. Meas., 2022

CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup.

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

CoRR, 2022

Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation.

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

CoRR, 2022

2021

Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification.

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

CoRR, 2021

Time-Series Representation Learning via Temporal and Contextual Contrasting.

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

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021