Ruilin Li
Orcid: 0000-0002-1979-8767Affiliations:
- Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- National University of Singapore
According to our database1,
Ruilin Li
authored at least 24 papers
between 2020 and 2025.
Collaborative distances:
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Bibliography
2025
Stacked Ensemble Deep Random Vector Functional Link Network With Residual Learning for Medium-Scale Time-Series Forecasting.
IEEE Trans. Neural Networks Learn. Syst., June, 2025
EEG-Based Cross-Dataset Driver Drowsiness Recognition With an Entropy Optimization Network.
IEEE J. Biomed. Health Informatics, March, 2025
2024
SPARK: A High-Efficiency Black-Box Domain Adaptation Framework for Source Privacy-Preserving Drowsiness Detection.
IEEE J. Biomed. Health Informatics, June, 2024
Entropy-guided robust feature domain adaptation for electroencephalogram-based cross-dataset drowsiness recognition.
Eng. Appl. Artif. Intell., 2024
A benchmarking framework for eye-tracking-based vigilance prediction of vessel traffic controllers.
Eng. Appl. Artif. Intell., 2024
TFormer: A time-frequency Transformer with batch normalization for driver fatigue recognition.
Adv. Eng. Informatics, 2024
Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Noise Elimination in Deep Random Vector Functional Link Network for Tabular Classification.
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the International Conference on Cyberworlds, 2024
2023
A spectral-ensemble deep random vector functional link network for passive brain-computer interface.
Expert Syst. Appl., October, 2023
Online dynamic ensemble deep random vector functional link neural network for forecasting.
Neural Networks, September, 2023
Inf. Sci., May, 2023
Towards best practice of interpreting deep learning models for EEG-based brain computer interfaces.
Frontiers Comput. Neurosci., February, 2023
An enhanced ensemble deep random vector functional link network for driver fatigue recognition.
Eng. Appl. Artif. Intell., 2023
Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning.
Eng. Appl. Artif. Intell., 2023
Ensemble of Randomized Neural Network and Boosted Trees for Eye-Tracking-Based Driver Situation Awareness Recognition and Interpretation.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Benchmarking EEG-based Cross-dataset Driver Drowsiness Recognition with Deep Transfer Learning.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Proceedings of the International Conference on Cyberworlds, 2023
2022
Sample-Based Data Augmentation Based on Electroencephalogram Intrinsic Characteristics.
IEEE J. Biomed. Health Informatics, 2022
A Decomposition-Based Hybrid Ensemble CNN Framework for Improving Cross-Subject EEG Decoding Performance.
CoRR, 2022
Advanced Ensemble Deep Random Vector Functional Link for Eye-Tracking-based Situation Awareness Recognition.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the International Conference on Cyberworlds, 2022
2021
A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEG.
CoRR, 2021
2020
EEG-based Recognition of Driver State Related to Situation Awareness Using Graph Convolutional Networks.
Proceedings of the International Conference on Cyberworlds, 2020