| A Survey of Algorithms, Applications and Trends for Particle Swarm Optimization J Fang, W Liu, L Chen, S Lauria, A Miron, X Liu International Journal of Network Dynamics and Intelligence, 24-50, 2023 | 38 | 2023 |
| A New Particle Swarm Optimization Algorithm for Outlier Detection: Industrial Data Clustering in Wire Arc Additive Manufacturing J Fang, Z Wang, W Liu, S Lauria, N Zeng, C Prieto, F Sikström, X Liu IEEE Transactions on Automation Science and Engineering, 2022 | 31 | 2022 |
| A two-stage integrated method for early prediction of remaining useful life of lithium-ion batteries G Ma, Z Wang, W Liu, J Fang, Y Zhang, H Ding, Y Yuan Knowledge-Based Systems 259, 110012, 2023 | 23 | 2023 |
| Biased minimax probability machine-based adaptive regression for online analysis of gasoline property K He, M Zhong, J Fang, Y Li IEEE Transactions on Industrial Informatics 16 (4), 2799-2808, 2019 | 14 | 2019 |
| Fault detection for a class of linear systems with integral measurements X Zhu, Y Liu, J Fang, M Zhong Science China Information Sciences 64, 1-10, 2021 | 10 | 2021 |
| Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach G Ma, Z Wang, W Liu, J Fang, Y Zhang, H Ding, Y Yuan IEEE/CAA Journal of Automatica Sinica 10 (7), 1530-1543, 2023 | 7 | 2023 |
| An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples B Song, Y Liu, J Fang, W Liu, M Zhong, X Liu Neurocomputing 574, 127284, 2024 | 3 | 2024 |
| A new particle-swarm-optimization-assisted deep transfer learning framework with applications to outlier detection in additive manufacturing J Fang, Z Wang, W Liu, L Chen, X Liu Engineering Applications of Artificial Intelligence 131, 107700, 2024 | | 2024 |
