| 2025 | IJCNN | Discontinuous Parsimony Embedding Empowered Transformer for Shipping Market Forecasting. | Ruobin Gao, Zicheng Wang, Minghui Hu, Maohan Liang, Ponnuthurai Nagaratnam Suganthan |
| 2024 | IJCNN | Wind Speed Forecasting Using an Ensemble Deep Random Vector Functional Link Neural Network Based on Parsimonious Channel Mixing. | Ruke Cheng, Ruobin Gao, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Kum Fai Yuen |
| 2024 | IJCNN | Noise Elimination in Deep Random Vector Functional Link Network for Tabular Classification. | Minghui Hu, Ruilin Li, Ruobin Gao, Ponnuthurai N. Suganthan |
| 2023 | ICONIP | Deep Learning-Empowered Unsupervised Maritime Anomaly Detection. | Lingxuan Weng, Maohan Liang, Ruobin Gao, Zhong Shuo Chen |
| 2023 | IJCNN | Online ensemble deep random vector functional link for the assistive robots. | Ruobin Gao, Sibo Yang, Meng Yuan, Xuefei Song, Ponnuthurai Nagaratnam Suganthan, Wei Tech Ang |
| 2022 | CW | Situation Awareness Recognition Using EEG and Eye-Tracking data: a pilot study. | Ruilin Li, Jian Cui, Ruobin Gao, Ponnuthurai N. Suganthan, Olga Sourina, Lipo Wang, Chun-Hsien Chen |
| 2022 | IJCNN | Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network. | Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang |
| 2022 | IJCNN | Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification. | Minghui Hu, Ruobin Gao, Ponnuthurai N. Suganthan |
| 2022 | IJCNN | Deep Randomized Feed-forward Networks Based Prediction of Human Joint Angles Using Wearable Inertial Measurement Unit: Performance Comparison. | Sibo Yang, Ruobin Gao, Lei Li, Wei Tech Ang |