Publication

Li, R., Gao, R., Yuan, L., Suganthan, P. N., Wang, L., & Sourina, O. (2023). An enhanced ensemble deep random vector functional link network for driver fatigue recognition. Engineering Applications of Artificial Intelligence, 123, 106237.

Text Codes

Du, L., Gao, R., Suganthan, P. N., & Wang, D. Z. (2022). Bayesian optimization based dynamic ensemble for time series forecasting. Information Sciences, 591, 155-175.

Text Codes

Wu, Y., Fan, M., Cao, Z., Gao, R., Hou, Y., & Sartoretti, G. (2023, December). Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems. In 23rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS).

Text

Liang, M., Weng, L., Gao, R., Li, Y., & Du, L. (2024). Unsupervised maritime anomaly detection for intelligent situational awareness using AIS data. Knowledge-Based Systems, 284, 111313.

Text

Du, L., Gao, R., Suganthan, P. N., & Wang, D. Z. (2022). Graph ensemble deep random vector functional link network for traffic forecasting. Applied Soft Computing, 131, 109809.

Text Codes

Snášel, V., Štěpnička, M., Ojha, V., Suganthan, P. N., Gao, R., & Kong, L. (2024). Large-scale data classification based on the integrated fusion of fuzzy learning and graph neural network. Information Fusion, 102, 102067.

Text

Gao, R., Li, R., Hu, M., Suganthan, P. N., & Yuen, K. F. (2023). Online dynamic ensemble deep random vector functional link neural network for forecasting. Neural Networks, 166, 51-69.

Text

Hu, M., Gao, R., & Suganthan, P. N. (2023). Self-Distillation for Randomized Neural Networks. IEEE Transactions on Neural Networks and Learning Systems.

Text

Gao, R., Li, R., Hu, M., Suganthan, P. N., & Yuen, K. F. (2023). Dynamic ensemble deep echo state network for significant wave height forecasting. Applied Energy, 329, 120261.

Text Codes

Luo, X., Gao, R., Chen, H. H., Chen, S., Guo, Q., & Suganthan, P. N. (2022). Multi-modal and multi-user semantic communications for channel-level information fusion. IEEE Wireless Communications.

Text

Li, R., Gao, R., Suganthan, P. N., Cui, J., Sourina, O., & Wang, L. (2023). A spectral-ensemble deep random vector functional link network for passive brain–computer interface. Expert Systems with Applications, 227, 120279.

Text

Gao, R., Cheng, W. X., Suganthan, P. N., & Yuen, K. F. (2022). Inpatient discharges forecasting for Singapore hospitals by machine learning. IEEE Journal of Biomedical and Health Informatics, 26(10), 4966-4975.

Text Codes

Li, R., Gao, R., & Suganthan, P. N. (2023). A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition. Information Sciences, 624, 833-848.

Text Codes

Hu, M., Gao, R., Suganthan, P. N., & Tanveer, M. (2022). Automated layer-wise solution for ensemble deep randomized feed-forward neural network. Neurocomputing, 514, 137-147.

Text Codes


Homepage for Ruobin Gao