Ruilin Li

25 papers A* 1B 1C 4Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
EEG-Based Cross-Dataset Driver Drowsiness Recognition With an Entropy Optimization Network.
IEEE J. Biomed. Health Informatics
Liqiang Yuan, Shasha Zhang, Ruilin Li, Zhong Zheng, Jian Cui, Mohammed Yakoob Siyal
2025 J jnl
Stacked Ensemble Deep Random Vector Functional Link Network With Residual Learning for Medium-Scale Time-Series Forecasting.
IEEE Trans. Neural Networks Learn. Syst.
Ruobin Gao, Minghui Hu, Ruilin Li, Xuewen Luo, Ponnuthurai Nagaratnam Suganthan, Muhammad Tanveer
2024 J jnl
A benchmarking framework for eye-tracking-based vigilance prediction of vessel traffic controllers.
Eng. Appl. Artif. Intell.
Zhimin Li, Ruilin Li, Liqiang Yuan, Jian Cui, Fan Li
2024 A* conf
Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking.
NeurIPS
Zijian Dong, Ruilin Li, Yilei Wu, Thuan Tinh Nguyen, Joanna Su Xian Chong, Fang Ji, Nathanael Ren Jie Tong, Christopher Li Hsian Chen, Juan Helen Zhou
2024 J jnl
Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking.
CoRR
Zijian Dong, Ruilin Li, Yilei Wu, Thuan Tinh Nguyen, Joanna Su Xian Chong, Fang Ji, Nathanael Ren Jie Tong, Christopher Li Hsian Chen, Juan Helen Zhou
2024 J jnl
Entropy-guided robust feature domain adaptation for electroencephalogram-based cross-dataset drowsiness recognition.
Eng. Appl. Artif. Intell.
Liqiang Yuan, Jian Cui, Ruilin Li, Zhong Zheng, Mohammed Yakoob Siyal, Zhengkun Yi
2024 C conf
Heart Rate based Fatigue Recognition for Human Factors Evaluation.
CW
Wei Lun Lim, Chang Shen Hoe, Ruilin Li, Meng-Hsueh Hsieh, Ziqing Xia, Olga Sourina, Chun-Hsien Chen
2024 B conf
Noise Elimination in Deep Random Vector Functional Link Network for Tabular Classification.
IJCNN
Minghui Hu, Ruilin Li, Ruobin Gao, Ponnuthurai N. Suganthan
2024 J jnl
SPARK: A High-Efficiency Black-Box Domain Adaptation Framework for Source Privacy-Preserving Drowsiness Detection.
IEEE J. Biomed. Health Informatics
Liqiang Yuan, Ruilin Li, Jian Cui, Mohammed Yakoob Siyal
2024 J jnl
TFormer: A time-frequency Transformer with batch normalization for driver fatigue recognition.
Adv. Eng. Informatics
Ruilin Li, Minghui Hu, Ruobin Gao, Lipo Wang, Ponnuthurai N. Suganthan, Olga Sourina
2023 J jnl
A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition.
Inf. Sci.
Ruilin Li, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan
2023 J jnl
A spectral-ensemble deep random vector functional link network for passive brain-computer interface.
Expert Syst. Appl.
Ruilin Li, Ruobin Gao, Ponnuthurai N. Suganthan, Jian Cui, Olga Sourina, Lipo Wang
2023 J jnl
An enhanced ensemble deep random vector functional link network for driver fatigue recognition.
Eng. Appl. Artif. Intell.
Ruilin Li, Ruobin Gao, Liqiang Yuan, Ponnuthurai N. Suganthan, Lipo Wang, Olga Sourina
2023 — conf
Benchmarking EEG-based Cross-dataset Driver Drowsiness Recognition with Deep Transfer Learning.
EMBC
Jian Cui, Liqiang Yuan, Ruilin Li, Zhaoxiang Wang, Dongping Yang, Tianzi Jiang
2023 — conf
Ensemble of Randomized Neural Network and Boosted Trees for Eye-Tracking-Based Driver Situation Awareness Recognition and Interpretation.
ICONIP (3)
Ruilin Li, Minghui Hu, Jian Cui, Lipo Wang, Olga Sourina
2023 C conf
Heart Rate Based Cross-subject Stress Recognition.
CW
Joanne Tan, Wei Lun Lim, Ruilin Li, Meng-Hsueh Hsieh, Olga Sourina, Chun-Hsien Chen
2023 J jnl
Online dynamic ensemble deep random vector functional link neural network for forecasting.
Neural Networks
Ruobin Gao, Ruilin Li, Minghui Hu, Ponnuthurai N. Suganthan, Kum Fai Yuen
2023 J jnl
Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning.
Eng. Appl. Artif. Intell.
Ruobin Gao, Ruilin Li, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Kum Fai Yuen
2023 J jnl
Towards best practice of interpreting deep learning models for EEG-based brain computer interfaces.
Frontiers Comput. Neurosci.
Jian Cui, Liqiang Yuan, Zhaoxiang Wang, Ruilin Li, Tianzi Jiang
2022 J jnl
A Decomposition-Based Hybrid Ensemble CNN Framework for Improving Cross-Subject EEG Decoding Performance.
CoRR
Ruilin Li, Ruobin Gao, Ponnuthurai N. Suganthan
2022 — conf
Advanced Ensemble Deep Random Vector Functional Link for Eye-Tracking-based Situation Awareness Recognition.
SSCI
Ruilin Li, Ruobin Gao, Jian Cui, Ponnuthurai N. Suganthan, Olga Sourina
2022 J jnl
Sample-Based Data Augmentation Based on Electroencephalogram Intrinsic Characteristics.
IEEE J. Biomed. Health Informatics
Ruilin Li, Lipo Wang, Ponnuthurai N. Suganthan, Olga Sourina
2022 C conf
Situation Awareness Recognition Using EEG and Eye-Tracking data: a pilot study.
CW
Ruilin Li, Jian Cui, Ruobin Gao, Ponnuthurai N. Suganthan, Olga Sourina, Lipo Wang, Chun-Hsien Chen
2021 J jnl
A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEG.
CoRR
Jian Cui, Zirui Lan, Yisi Liu, Ruilin Li, Fan Li, Olga Sourina, Wolfgang Müller-Wittig
2020 C conf
EEG-based Recognition of Driver State Related to Situation Awareness Using Graph Convolutional Networks.
CW
Ruilin Li, Zirui Lan, Jian Cui, Olga Sourina, Lipo Wang