Ruobin Gao

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 45

Top Topics

Financial Time Series

Top Venues

Appl. Soft Comput.

Expert Syst. Appl.

Eng. Appl. Artif. Intell.

Publications

Maohan Liang, Lingxuan Weng, Ruobin Gao, Yan Li, Liang Du
Unsupervised maritime anomaly detection for intelligent situational awareness using AIS data. Knowl. Based Syst. 284 (2024)
Ruke Cheng, Ruobin Gao, Kum Fai Yuen
Ship order book forecasting by an ensemble deep parsimonious random vector functional link network. Eng. Appl. Artif. Intell. 133 (2024)
Yaoxin Wu, Mingfeng Fan, Zhiguang Cao, Ruobin Gao, Yaqing Hou, Guillaume Sartoretti
Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems. AAMAS (2024)
Jiangfan Zhang, Yan Zhang, Zhiguang Shi, Yu Zhang, Ruobin Gao
Unmanned Aerial Vehicle Object Detection Based on Information-Preserving and Fine-Grained Feature Aggregation. Remote. Sens. 16 (14) (2024)
Xuewen Luo, Ruobin Gao, Hsiao-Hwa Chen, Shuyi Chen, Qing Guo, Ponnuthurai Nagaratnam Suganthan
Multimodal and Multiuser Semantic Communications for Channel-Level Information Fusion. IEEE Wirel. Commun. 31 (2) (2024)
Heng Dong, Ruobin Gao, Jiazhe Li, Xiaojie Fang, Xuejun Sha, Zhuoming Li
Physical layer security communication for IoT-aided intelligent transport systems: An approach in WFRFT signal domain. Comput. Electr. Eng. 118 (2024)
Ruobin Gao, Maohan Liang, Heng Dong, Xuewen Luo, Ponnuthurai N. Suganthan
Underwater Acoustic Signal Denoising Algorithms: A Survey of the State-of-the-art. CoRR (2024)
Aryan Bhambu, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan
Recurrent ensemble random vector functional link neural network for financial time series forecasting. Appl. Soft Comput. 161 (2024)
Václav Snásel, Martin Stepnicka, Varun Ojha, Ponnuthurai Nagaratnam Suganthan, Ruobin Gao, Lingping Kong
Large-scale data classification based on the integrated fusion of fuzzy learning and graph neural network. Inf. Fusion 102 (2024)
Chenjie Zhao, Ryan Wen Liu, Jingxiang Qu, Ruobin Gao
Deep learning-based object detection in maritime unmanned aerial vehicle imagery: Review and experimental comparisons. Eng. Appl. Artif. Intell. 128 (2024)
Maohan Liang, Ryan Wen Liu, Ruobin Gao, Zhe Xiao, Xiaocai Zhang, Hua Wang
A Survey of Distance-Based Vessel Trajectory Clustering: Data Pre-processing, Methodologies, Applications, and Experimental Evaluation. CoRR (2024)
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 (2024)
Chenjie Zhao, Ryan Wen Liu, Jingxiang Qu, Ruobin Gao
Deep Learning-Based Object Detection in Maritime Unmanned Aerial Vehicle Imagery: Review and Experimental Comparisons. CoRR (2023)
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 (2023)
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 (2023)
Ruobin Gao, Sibo Yang, Meng Yuan, Xuefei Song, Ponnuthurai Nagaratnam Suganthan, Wei Tech Ang
Online ensemble deep random vector functional link for the assistive robots. IJCNN (2023)
Lingping Kong, Varun Ojha, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, Václav Snásel
Low-rank and global-representation-key-based attention for graph transformer. Inf. Sci. 642 (2023)
Ruilin Li, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan
A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition. Inf. Sci. 624 (2023)
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) (2023)
Lingxuan Weng, Maohan Liang, Ruobin Gao, Zhong Shuo Chen
Deep Learning-Empowered Unsupervised Maritime Anomaly Detection. ICONIP (13) (2023)
Ashwani Kumar Malik, Ruobin Gao, M. A. Ganaie, M. Tanveer, Ponnuthurai Nagaratnam Suganthan
Random vector functional link network: Recent developments, applications, and future directions. Appl. Soft Comput. 143 (2023)
Sibo Yang, Neha P. Garg, Ruobin Gao, Meng Yuan, Bernardo Noronha, Wei Tech Ang, Dino Accoto
Learning-Based Motion-Intention Prediction for End-Point Control of Upper-Limb-Assistive Robots. Sensors 23 (6) (2023)
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) (2023)
Jixian Mo, Ruobin Gao, Jiahui Liu, Liang Du, Kum Fai Yuen
Annual dilated convolutional LSTM network for time charter rate forecasting. Appl. Soft Comput. 126 (2022)
Ruobin Gao, Ponnuthurai N. Suganthan, Qin Zhou, Kum Fai Yuen, Muhammad Tanveer
Echo state neural network based ensemble deep learning for short-term load forecasting. SSCI (2022)
Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang
Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network. IJCNN (2022)
Minghui Hu, Ruobin Gao, Ponnuthurai N. Suganthan, Muhammad Tanveer
Automated layer-wise solution for ensemble deep randomized feed-forward neural network. Neurocomputing 514 (2022)
Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang
Bayesian optimization based dynamic ensemble for time series forecasting. Inf. Sci. 591 (2022)
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)
Ruobin Gao, Wen Xin Cheng, Ponnuthurai N. Suganthan, Kum Fai Yuen
Inpatient Discharges Forecasting for Singapore Hospitals by Machine Learning. IEEE J. Biomed. Health Informatics 26 (10) (2022)
Minghui Hu, Ruobin Gao, Ponnuthurai N. Suganthan
Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification. IJCNN (2022)
Sibo Yang, Ruobin Gao, Lei Li, Wei Tech Ang
Deep Randomized Feed-forward Networks Based Prediction of Human Joint Angles Using Wearable Inertial Measurement Unit: Performance Comparison. IJCNN (2022)
Ruobin Gao, Jiahui Liu, Qin Zhou, Okan Duru, Kum Fai Yuen
Newbuilding ship price forecasting by parsimonious intelligent model search engine. Expert Syst. Appl. 201 (2022)
Ruobin Gao, Jiahui Liu, Xiwen Bai, Kum Fai Yuen
Annual dilated convolution neural network for newbuilding ship prices forecasting. Neural Comput. Appl. 34 (14) (2022)
Ashwani Kumar Malik, Ruobin Gao, M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan
Random vector functional link network: recent developments, applications, and future directions. CoRR (2022)
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)
Ruobin Gao, Liang Du, Ponnuthurai Nagaratnam Suganthan, Qin Zhou, Kum Fai Yuen
Random vector functional link neural network based ensemble deep learning for short-term load forecasting. Expert Syst. Appl. 206 (2022)
Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang
Graph ensemble deep random vector functional link network for traffic forecasting. Appl. Soft Comput. 131 (2022)
Ruilin Li, Ruobin Gao, Ponnuthurai N. Suganthan
A Decomposition-Based Hybrid Ensemble CNN Framework for Improving Cross-Subject EEG Decoding Performance. CoRR (2022)
Ruobin Gao, Liang Du, Ponnuthurai N. Suganthan, Qin Zhou, Kum Fai Yuen
Random vector functional link neural network based ensemble deep learning for short-term load forecasting. CoRR (2021)
Ruobin Gao, Liang Du, Kum Fai Yuen, Ponnuthurai Nagaratnam Suganthan
Walk-forward empirical wavelet random vector functional link for time series forecasting. Appl. Soft Comput. 108 (2021)
Ruobin Gao, Okan Duru, Kum Fai Yuen
High-dimensional lag structure optimization of fuzzy time series. Expert Syst. Appl. 173 (2021)
Ruobin Gao, Liang Du, Okan Duru, Kum Fai Yuen
Time series forecasting based on echo state network and empirical wavelet transformation. Appl. Soft Comput. 102 (2021)
Ruobin Gao, Okan Duru
Parsimonious fuzzy time series modelling. Expert Syst. Appl. 156 (2020)
Ruobin Gao, Liang Du, Kum Fai Yuen
Robust empirical wavelet fuzzy cognitive map for time series forecasting. Eng. Appl. Artif. Intell. 96 (2020)