About Me
Hi! I received my BEng degree from Jilin University, China. Then, I received the MSc and Ph.D. degree from Nanyang Technological University, Singapore. I am an Associate Editor at Computers and Electrical Engineering. I am the guest editor of Information Fusion and Engineering Applications of Artificial Intelligence. I am the chair of an invited session at ICONIP 2023.
My Ph.D. was co-supervised by Prof. Suganthan (IEEE Fellow), Asst Prof. Yuen Kum Fai, and Dr. Okan Duru. You can find the full publication list at my Google Scholar.
Academic Service
Associate editor at Computers & Electrical Engineering
Guest editor at Information Fusion, Topic: Multi-source data fusion for sustainable cities
Guest editor at EAAI, Topic: Advanced machine learning for the maritime industry
Guest editor at Computers & Electrical Engineering, Topic: Randomization-Based Deep and Shallow Learning Algorithms
Session chair at ICONIP 2023.
Reviewers for IEEE TNNLS, T-SMC-Systems, TVT, TFS; Elsevier PRJ, ASOC, EAAI, CAEE, APEN; Springer NCAA; PVLDB, CIKM
Research Interest
My research interests include machine learning, randomized neural networks, time series forecasting, and artificial intelligence for the maritime industry.
Selected Publications
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.
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.
Snasel, 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.
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).
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.
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.
To a great mind, nothing is little