Ruobin Gao

Orcid: 0000-0003-0781-1482

According to our database1, Ruobin Gao authored at least 45 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Self-Distillation for Randomized Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

Unmanned Aerial Vehicle Object Detection Based on Information-Preserving and Fine-Grained Feature Aggregation.
Remote. Sens., July, 2024

Multimodal and Multiuser Semantic Communications for Channel-Level Information Fusion.
IEEE Wirel. Commun., April, 2024

Large-scale data classification based on the integrated fusion of fuzzy learning and graph neural network.
Inf. Fusion, February, 2024

Unsupervised maritime anomaly detection for intelligent situational awareness using AIS data.
Knowl. Based Syst., 2024

Deep learning-based object detection in maritime unmanned aerial vehicle imagery: Review and experimental comparisons.
Eng. Appl. Artif. Intell., 2024

Ship order book forecasting by an ensemble deep parsimonious random vector functional link network.
Eng. Appl. Artif. Intell., 2024

Underwater Acoustic Signal Denoising Algorithms: A Survey of the State-of-the-art.
CoRR, 2024

A Survey of Distance-Based Vessel Trajectory Clustering: Data Pre-processing, Methodologies, Applications, and Experimental Evaluation.
CoRR, 2024

Physical layer security communication for IoT-aided intelligent transport systems: An approach in WFRFT signal domain.
Comput. Electr. Eng., 2024

Recurrent ensemble random vector functional link neural network for financial time series forecasting.
Appl. Soft Comput., 2024

TFormer: A time-frequency Transformer with batch normalization for driver fatigue recognition.
Adv. Eng. Informatics, 2024

Noise Elimination in Deep Random Vector Functional Link Network for Tabular Classification.
Proceedings of the International Joint Conference on Neural Networks, 2024

Wind Speed Forecasting Using an Ensemble Deep Random Vector Functional Link Neural Network Based on Parsimonious Channel Mixing.
Proceedings of the International Joint Conference on Neural Networks, 2024

Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
A spectral-ensemble deep random vector functional link network for passive brain-computer interface.
Expert Syst. Appl., October, 2023

Online dynamic ensemble deep random vector functional link neural network for forecasting.
Neural Networks, September, 2023

Random vector functional link network: Recent developments, applications, and future directions.
Appl. Soft Comput., August, 2023

A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition.
Inf. Sci., May, 2023

Learning-Based Motion-Intention Prediction for End-Point Control of Upper-Limb-Assistive Robots.
Sensors, March, 2023

Low-rank and global-representation-key-based attention for graph transformer.
Inf. Sci., 2023

An enhanced ensemble deep random vector functional link network for driver fatigue recognition.
Eng. Appl. Artif. Intell., 2023

Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning.
Eng. Appl. Artif. Intell., 2023

Online ensemble deep random vector functional link for the assistive robots.
Proceedings of the International Joint Conference on Neural Networks, 2023

Deep Learning-Empowered Unsupervised Maritime Anomaly Detection.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
Inpatient Discharges Forecasting for Singapore Hospitals by Machine Learning.
IEEE J. Biomed. Health Informatics, 2022

Annual dilated convolution neural network for newbuilding ship prices forecasting.
Neural Comput. Appl., 2022

Bayesian optimization based dynamic ensemble for time series forecasting.
Inf. Sci., 2022

Automated layer-wise solution for ensemble deep randomized feed-forward neural network.
Neurocomputing, 2022

Newbuilding ship price forecasting by parsimonious intelligent model search engine.
Expert Syst. Appl., 2022

Random vector functional link neural network based ensemble deep learning for short-term load forecasting.
Expert Syst. Appl., 2022

A Decomposition-Based Hybrid Ensemble CNN Framework for Improving Cross-Subject EEG Decoding Performance.
CoRR, 2022

Annual dilated convolutional LSTM network for time charter rate forecasting.
Appl. Soft Comput., 2022

Graph ensemble deep random vector functional link network for traffic forecasting.
Appl. Soft Comput., 2022

Advanced Ensemble Deep Random Vector Functional Link for Eye-Tracking-based Situation Awareness Recognition.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Echo state neural network based ensemble deep learning for short-term load forecasting.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Deep Randomized Feed-forward Networks Based Prediction of Human Joint Angles Using Wearable Inertial Measurement Unit: Performance Comparison.
Proceedings of the International Joint Conference on Neural Networks, 2022

Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022

Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2022

Situation Awareness Recognition Using EEG and Eye-Tracking data: a pilot study.
Proceedings of the International Conference on Cyberworlds, 2022

2021
High-dimensional lag structure optimization of fuzzy time series.
Expert Syst. Appl., 2021

Walk-forward empirical wavelet random vector functional link for time series forecasting.
Appl. Soft Comput., 2021

Time series forecasting based on echo state network and empirical wavelet transformation.
Appl. Soft Comput., 2021

2020
Parsimonious fuzzy time series modelling.
Expert Syst. Appl., 2020

Robust empirical wavelet fuzzy cognitive map for time series forecasting.
Eng. Appl. Artif. Intell., 2020


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