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ORCIDRuilin Li 0001
Person information
- affiliation: Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- affiliation: National University of Singapore
Other persons with the same name
- Ruilin Li — disambiguation page
- Ruilin Li 0002
![[0000-0003-4395-1351]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-4395-1351")
— National University of Defense Technology, College of Electronic Science and Technology, Changsha, China (and 1 more)
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2020 – today
- 2025
[j13]Liqiang Yuan, Shasha Zhang, Ruilin Li, Zhong Zheng, Jian Cui, Mohammed Yakoob Siyal:
EEG-Based Cross-Dataset Driver Drowsiness Recognition With an Entropy Optimization Network. IEEE J. Biomed. Health Informatics 29(3): 1970-1981 (2025)- [j12]Ruobin Gao, Minghui Hu, Ruilin Li, Xuewen Luo, Ponnuthurai Nagaratnam Suganthan, Muhammad Tanveer:
Stacked Ensemble Deep Random Vector Functional Link Network With Residual Learning for Medium-Scale Time-Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. 36(6): 10833-10843 (2025) - 2024
- [j11]Ruilin Li, Minghui Hu, Ruobin Gao, Lipo Wang, Ponnuthurai N. Suganthan, Olga Sourina:
TFormer: A time-frequency Transformer with batch normalization for driver fatigue recognition. Adv. Eng. Informatics 62: 102575 (2024) - [j10]Zhimin Li, Ruilin Li, Liqiang Yuan, Jian Cui, Fan Li:
A benchmarking framework for eye-tracking-based vigilance prediction of vessel traffic controllers. Eng. Appl. Artif. Intell. 129: 107660 (2024) - [j9]Liqiang Yuan, Jian Cui, Ruilin Li, Zhong Zheng, Mohammed Yakoob Siyal, Zhengkun Yi:
Entropy-guided robust feature domain adaptation for electroencephalogram-based cross-dataset drowsiness recognition. Eng. Appl. Artif. Intell. 137: 109153 (2024) - [j8]Liqiang Yuan, Ruilin Li, Jian Cui, Mohammed Yakoob Siyal:
SPARK: A High-Efficiency Black-Box Domain Adaptation Framework for Source Privacy-Preserving Drowsiness Detection. IEEE J. Biomed. Health Informatics 28(6): 3478-3488 (2024) - [c9]Wei Lun Lim, Chang Shen Hoe, Ruilin Li, Meng-Hsueh Hsieh, Ziqing Xia, Olga Sourina, Chun-Hsien Chen:
Heart Rate based Fatigue Recognition for Human Factors Evaluation. CW 2024: 179-182 - [c8]Minghui Hu, Ruilin Li, Ruobin Gao, Ponnuthurai N. Suganthan:
Noise Elimination in Deep Random Vector Functional Link Network for Tabular Classification. IJCNN 2024: 1-8 - [c7]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:
Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking. NeurIPS 2024 - [i3]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:
Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking. CoRR abs/2409.19407 (2024) - 2023
- [j7]Ruobin Gao, Ruilin Li, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Kum Fai Yuen:
Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning. Eng. Appl. Artif. Intell. 117(Part): 105535 (2023) - [j6]Ruilin Li, Ruobin Gao, Liqiang Yuan, Ponnuthurai N. Suganthan, Lipo Wang, Olga Sourina:
An enhanced ensemble deep random vector functional link network for driver fatigue recognition. Eng. Appl. Artif. Intell. 123(Part A): 106237 (2023) - [j5]Ruilin Li, Ruobin Gao, Ponnuthurai N. Suganthan, Jian Cui, Olga Sourina, Lipo Wang:
A spectral-ensemble deep random vector functional link network for passive brain-computer interface. Expert Syst. Appl. 227: 120279 (2023) - [j4]Jian Cui, Liqiang Yuan, Zhaoxiang Wang, Ruilin Li, Tianzi Jiang:
Towards best practice of interpreting deep learning models for EEG-based brain computer interfaces. Frontiers Comput. Neurosci. 17 (2023) - [j3]Ruilin Li, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan:
A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition. Inf. Sci. 624: 833-848 (2023) - [j2]Ruobin Gao, Ruilin Li, Minghui Hu, Ponnuthurai N. Suganthan, Kum Fai Yuen:
Online dynamic ensemble deep random vector functional link neural network for forecasting. Neural Networks 166: 51-69 (2023) - [c6]Joanne Tan, Wei Lun Lim, Ruilin Li, Meng-Hsueh Hsieh, Olga Sourina, Chun-Hsien Chen:
Heart Rate Based Cross-subject Stress Recognition. CW 2023: 329-332 - [c5]Jian Cui, Liqiang Yuan, Ruilin Li, Zhaoxiang Wang, Dongping Yang, Tianzi Jiang:
Benchmarking EEG-based Cross-dataset Driver Drowsiness Recognition with Deep Transfer Learning. EMBC 2023: 1-6 - [c4]Ruilin Li, Minghui Hu, Jian Cui, Lipo Wang, Olga Sourina:
Ensemble of Randomized Neural Network and Boosted Trees for Eye-Tracking-Based Driver Situation Awareness Recognition and Interpretation. ICONIP (3) 2023: 500-511 - 2022
- [j1]Ruilin Li, Lipo Wang, Ponnuthurai N. Suganthan, Olga Sourina:
Sample-Based Data Augmentation Based on Electroencephalogram Intrinsic Characteristics. IEEE J. Biomed. Health Informatics 26(10): 4996-5003 (2022) - [c3]Ruilin Li, Jian Cui, Ruobin Gao, Ponnuthurai N. Suganthan, Olga Sourina, Lipo Wang, Chun-Hsien Chen:
Situation Awareness Recognition Using EEG and Eye-Tracking data: a pilot study. CW 2022: 209-212 - [c2]Ruilin Li, Ruobin Gao, Jian Cui, Ponnuthurai N. Suganthan, Olga Sourina:
Advanced Ensemble Deep Random Vector Functional Link for Eye-Tracking-based Situation Awareness Recognition. SSCI 2022: 300-307 - [i2]Ruilin Li, Ruobin Gao, Ponnuthurai N. Suganthan:
A Decomposition-Based Hybrid Ensemble CNN Framework for Improving Cross-Subject EEG Decoding Performance. CoRR abs/2203.09477 (2022) - 2021
- [i1]Jian Cui, Zirui Lan, Yisi Liu, Ruilin Li, Fan Li, Olga Sourina, Wolfgang Müller-Wittig:
A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEG. CoRR abs/2106.00613 (2021) - 2020
- [c1]Ruilin Li, Zirui Lan, Jian Cui, Olga Sourina, Lipo Wang:
EEG-based Recognition of Driver State Related to Situation Awareness Using Graph Convolutional Networks. CW 2020: 180-187
Coauthor Index
aka: Ponnuthurai Nagaratnam Suganthan
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