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)

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)

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)

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)

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)

Bi-hemisphere Interaction Convolutional Neural Network for Motor Imagery Classification. - Xiaohao Lin; Emadeldeen Eldele; Zhenghua Chen; Min Wu 008; Han Wei Ng; Cuntai Guan (EMBC, 2024)

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

ECGTransForm: Empowering adaptive ECG arrhythmia classification framework with bidirectional transformer. - Hany A. El-Ghaish; Emadeldeen Eldele (Biomed. Signal Process. Control., 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)

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 008 (CoRR, 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)

Hierarchical Classification Auxiliary Network for Time Series Forecasting. - Yanru Sun; Zongxia Xie; Dongyue Chen; Emadeldeen Eldele; Qinghua Hu (AAAI, 2025)

MSA-CNN: A Lightweight Multi-Scale CNN with Attention for Sleep Stage Classification. - Stephan Goerttler; Yucheng Wang 001; Emadeldeen Eldele; Min Wu 008; Fei He 002 (CoRR, 2025)

Time Series Domain Adaptation via Latent Invariant Causal Mechanism. - Ruichu Cai; Junxian Huang 002; Zhenhui Yang; Zijian Li 001; Emadeldeen Eldele; Min Wu 008; Fuchun Sun (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)

Bridging Distribution Gaps in Time Series Foundation Model Pretraining with Prototype-Guided Normalization. - Peiliang Gong; Emadeldeen Eldele; Min Wu 008; Zhenghua Chen; Xiao-Li Li 001; Daoqiang Zhang (CoRR, 2025)

Learning Soft Sparse Shapes for Efficient Time-Series Classification. - Zhen Liu; Yicheng Luo; Boyuan Li; Emadeldeen Eldele; Min Wu 008; Qianli Ma (CoRR, 2025)

Adapting LLMs to Time Series Forecasting via Temporal Heterogeneity Modeling and Semantic Alignment. - Yanru Sun; Emadeldeen Eldele; Zongxia Xie; Yucheng Wang 001; Wenzhe Niu; Qinghua Hu; Chee Keong Kwoh 001; Min Wu 008 (CoRR, 2025)