Ruobin Gao

60 papers A 1B 7C 1Journal 48Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A fine-grained predictive optimization framework for dynamic eco-routing of electric vehicles.
Comput. Ind. Eng.
Qi Liu, Yan Li, Maohan Liang, Ruobin Gao, Jinlei Zhang, Yang Liu
2026 J jnl
Deep random vector functional link transformer network with multiple output layers for significant wave height forecasting.
Appl. Soft Comput.
Aryan Bhambu, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, Selvaraju Natarajan
2026 J jnl
Natural language processing and text mining in transportation: Current status, challenges, and future roadmap.
Expert Syst. Appl.
Xiaocai Zhang, Ruobin Gao, Zhe Xiao, Ke Wang, Tao Liu, Maohan Liang, Jianjia Zhang
2026 J jnl
Weighted multi-output randomized neural networks with a feature memory pool for electroencephalogram signal classification.
Appl. Soft Comput.
Ruobin Gao, Rongqing Han, Heng Dong, Ponnuthurai Nagaratnam Suganthan, Yang Yu
2025 J jnl
A Virtual Domain-Driven Semi-Supervised Hyperbolic Metric Network With Domain-Class Adversarial Decoupling for Aircraft Engine Intershaft Bearings Fault diagnosis.
IEEE Trans. Syst. Man Cybern. Syst.
Changdong Wang, Huamin Jie, Jingli Yang, Zhenyu Zhao, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan
2025 B conf
Discontinuous Parsimony Embedding Empowered Transformer for Shipping Market Forecasting.
IJCNN
Ruobin Gao, Zicheng Wang, Minghui Hu, Maohan Liang, Ponnuthurai Nagaratnam Suganthan
2025 J jnl
Integrating GPU-Accelerated for Fast Large-Scale Vessel Trajectories Visualization in Maritime IoT Systems.
IEEE Trans. Intell. Transp. Syst.
Maohan Liang, Kezhong Liu, Ruobin Gao, Yan Li
2025 J jnl
Spatial-Frequency Fusion Network With Learnable Fractional Fourier Transform for Remote Sensing Imaging Enhancement.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Wenyu Xu, Maohan Liang, Yuxu Lu, Ruobin Gao, Dong Yang
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
2025 J jnl
Underwater Acoustic Signal Denoising Algorithms: A Survey of the State of the Art.
IEEE Trans. Instrum. Meas.
Ruobin Gao, Maohan Liang, Heng Dong, Xuewen Luo, Ponnuthurai N. Suganthan
2025 J jnl
Wave energy forecasting: A state-of-the-art survey and a comprehensive evaluation.
Appl. Soft Comput.
Ruobin Gao, Xiaocai Zhang, Maohan Liang, Ponnuthurai Nagaratnam Suganthan, Heng Dong
2024 J jnl
A Survey of Distance-Based Vessel Trajectory Clustering: Data Pre-processing, Methodologies, Applications, and Experimental Evaluation.
CoRR
Maohan Liang, Ryan Wen Liu, Ruobin Gao, Zhe Xiao, Xiaocai Zhang, Hua Wang
2024 A conf
Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems.
AAMAS
Yaoxin Wu, Mingfeng Fan, Zhiguang Cao, Ruobin Gao, Yaqing Hou, Guillaume Sartoretti
2024 J jnl
Deep learning-based object detection in maritime unmanned aerial vehicle imagery: Review and experimental comparisons.
Eng. Appl. Artif. Intell.
Chenjie Zhao, Ryan Wen Liu, Jingxiang Qu, Ruobin Gao
2024 J jnl
Large-scale data classification based on the integrated fusion of fuzzy learning and graph neural network.
Inf. Fusion
Václav Snásel, Martin Stepnicka, Varun Ojha, Ponnuthurai Nagaratnam Suganthan, Ruobin Gao, Lingping Kong
2024 J jnl
Multimodal and Multiuser Semantic Communications for Channel-Level Information Fusion.
IEEE Wirel. Commun.
Xuewen Luo, Ruobin Gao, Hsiao-Hwa Chen, Shuyi Chen, Qing Guo, Ponnuthurai Nagaratnam Suganthan
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
Physical layer security communication for IoT-aided intelligent transport systems: An approach in WFRFT signal domain.
Comput. Electr. Eng.
Heng Dong, Ruobin Gao, Jiazhe Li, Xiaojie Fang, Xuejun Sha, Zhuoming Li
2024 J jnl
Recurrent ensemble random vector functional link neural network for financial time series forecasting.
Appl. Soft Comput.
Aryan Bhambu, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan
2024 J jnl
Self-Distillation for Randomized Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Minghui Hu, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan
2024 J jnl
Ship order book forecasting by an ensemble deep parsimonious random vector functional link network.
Eng. Appl. Artif. Intell.
Ruke Cheng, Ruobin Gao, Kum Fai Yuen
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
2024 J jnl
Two-Stage Combined Model for Short-Term Electricity Forecasting in Ports.
Inf.
Wentao Song, Xiaohua Cao, Hanrui Jiang, Zejun Li, Ruobin Gao
2024 J jnl
Underwater Acoustic Signal Denoising Algorithms: A Survey of the State-of-the-art.
CoRR
Ruobin Gao, Maohan Liang, Heng Dong, Xuewen Luo, Ponnuthurai N. Suganthan
2024 J jnl
Unmanned Aerial Vehicle Object Detection Based on Information-Preserving and Fine-Grained Feature Aggregation.
Remote. Sens.
Jiangfan Zhang, Yan Zhang, Zhiguang Shi, Yu Zhang, Ruobin Gao
2024 J jnl
Unsupervised maritime anomaly detection for intelligent situational awareness using AIS data.
Knowl. Based Syst.
Maohan Liang, Lingxuan Weng, Ruobin Gao, Yan Li, Liang Du
2024 B conf
Wind Speed Forecasting Using an Ensemble Deep Random Vector Functional Link Neural Network Based on Parsimonious Channel Mixing.
IJCNN
Ruke Cheng, Ruobin Gao, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Kum Fai Yuen
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 J jnl
Deep Learning-Based Object Detection in Maritime Unmanned Aerial Vehicle Imagery: Review and Experimental Comparisons.
CoRR
Chenjie Zhao, Ryan Wen Liu, Jingxiang Qu, Ruobin Gao
2023 — conf
Deep Learning-Empowered Unsupervised Maritime Anomaly Detection.
ICONIP (13)
Lingxuan Weng, Maohan Liang, Ruobin Gao, Zhong Shuo Chen
2023 J jnl
Learning-Based Motion-Intention Prediction for End-Point Control of Upper-Limb-Assistive Robots.
Sensors
Sibo Yang, Neha P. Garg, Ruobin Gao, Meng Yuan, Bernardo Noronha, Wei Tech Ang, Dino Accoto
2023 J jnl
Low-rank and global-representation-key-based attention for graph transformer.
Inf. Sci.
Lingping Kong, Varun Ojha, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, Václav Snásel
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 B conf
Online ensemble deep random vector functional link for the assistive robots.
IJCNN
Ruobin Gao, Sibo Yang, Meng Yuan, Xuefei Song, Ponnuthurai Nagaratnam Suganthan, Wei Tech Ang
2023 J jnl
Random vector functional link network: Recent developments, applications, and future directions.
Appl. Soft Comput.
Ashwani Kumar Malik, Ruobin Gao, M. A. Ganaie, M. Tanveer, Ponnuthurai Nagaratnam Suganthan
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
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
Annual dilated convolution neural network for newbuilding ship prices forecasting.
Neural Comput. Appl.
Ruobin Gao, Jiahui Liu, Xiwen Bai, Kum Fai Yuen
2022 J jnl
Annual dilated convolutional LSTM network for time charter rate forecasting.
Appl. Soft Comput.
Jixian Mo, Ruobin Gao, Jiahui Liu, Liang Du, Kum Fai Yuen
2022 J jnl
Automated layer-wise solution for ensemble deep randomized feed-forward neural network.
Neurocomputing
Minghui Hu, Ruobin Gao, Ponnuthurai N. Suganthan, Muhammad Tanveer
2022 J jnl
Bayesian optimization based dynamic ensemble for time series forecasting.
Inf. Sci.
Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang
2022 B conf
Deep Randomized Feed-forward Networks Based Prediction of Human Joint Angles Using Wearable Inertial Measurement Unit: Performance Comparison.
IJCNN
Sibo Yang, Ruobin Gao, Lei Li, Wei Tech Ang
2022 B conf
Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification.
IJCNN
Minghui Hu, Ruobin Gao, Ponnuthurai N. Suganthan
2022 — conf
Echo state neural network based ensemble deep learning for short-term load forecasting.
SSCI
Ruobin Gao, Ponnuthurai N. Suganthan, Qin Zhou, Kum Fai Yuen, Muhammad Tanveer
2022 J jnl
Graph ensemble deep random vector functional link network for traffic forecasting.
Appl. Soft Comput.
Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang
2022 J jnl
Inpatient Discharges Forecasting for Singapore Hospitals by Machine Learning.
IEEE J. Biomed. Health Informatics
Ruobin Gao, Wen Xin Cheng, Ponnuthurai N. Suganthan, Kum Fai Yuen
2022 J jnl
Newbuilding ship price forecasting by parsimonious intelligent model search engine.
Expert Syst. Appl.
Ruobin Gao, Jiahui Liu, Qin Zhou, Okan Duru, Kum Fai Yuen
2022 J jnl
Random vector functional link network: recent developments, applications, and future directions.
CoRR
Ashwani Kumar Malik, Ruobin Gao, M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan
2022 J jnl
Random vector functional link neural network based ensemble deep learning for short-term load forecasting.
Expert Syst. Appl.
Ruobin Gao, Liang Du, Ponnuthurai Nagaratnam Suganthan, Qin Zhou, Kum Fai Yuen
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
2022 B conf
Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network.
IJCNN
Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang
2021 J jnl
High-dimensional lag structure optimization of fuzzy time series.
Expert Syst. Appl.
Ruobin Gao, Okan Duru, Kum Fai Yuen
2021 J jnl
Random vector functional link neural network based ensemble deep learning for short-term load forecasting.
CoRR
Ruobin Gao, Liang Du, Ponnuthurai N. Suganthan, Qin Zhou, Kum Fai Yuen
2021 J jnl
Time series forecasting based on echo state network and empirical wavelet transformation.
Appl. Soft Comput.
Ruobin Gao, Liang Du, Okan Duru, Kum Fai Yuen
2021 J jnl
Walk-forward empirical wavelet random vector functional link for time series forecasting.
Appl. Soft Comput.
Ruobin Gao, Liang Du, Kum Fai Yuen, Ponnuthurai Nagaratnam Suganthan
2020 J jnl
Parsimonious fuzzy time series modelling.
Expert Syst. Appl.
Ruobin Gao, Okan Duru
2020 J jnl
Robust empirical wavelet fuzzy cognitive map for time series forecasting.
Eng. Appl. Artif. Intell.
Ruobin Gao, Liang Du, Kum Fai Yuen