| Hierarchical interpretable imitation learning for end-to-end autonomous driving S Teng, L Chen, Y Ai, Y Zhou, Z Xuanyuan, X Hu IEEE Transactions on Intelligent Vehicles 8 (1), 673-683, 2022 | 101 | 2022 |
| Application of Physics-Informed Neural Network (PINN) in the Experimental Study of Vortex-Induced Vibration with Tunable Stiffness Y Zhu, Y Yan, Y Zhang, Y Zhou, Q Zhao, T Liu, X Xie, Y Liang ISOPE International Ocean and Polar Engineering Conference, ISOPE-I-23-305, 2023 | 19 | 2023 |
| Self-supervised learning based on transformer for flow reconstruction and prediction B Xu, Y Zhou, X Bian Physics of Fluids 36 (2), 2024 | 8 | 2024 |
| A 2D mesh-free simulation of the particle adhesion in a plastic cyclone Y Zhou, T See, S Zhong, Z Liu, L Li Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2019 | 6 | 2019 |
| Positive climate effects when AR customer support simultaneous trains AI experts for the smart industries of the future M Martinsen, Y Zhou, E Dahlquist, J Yan, K Kyprianidis Applied Energy 339, 120988, 2023 | 5 | 2023 |
| Mitigating the lift of a circular cylinder in wake flow using deep reinforcement learning guided self-rotation F Zhao, Y Zhou, F Ren, H Tang, Z Wang Ocean Engineering 306, 118138, 2024 | 4 | 2024 |
| A fast general thermal simulation model based on Multi-Branch Physics-Informed deep operator neural network Z Lu, Y Zhou, Y Zhang, X Hu, Q Zhao, X Hu Physics of Fluids 36 (3), 2024 | 4 | 2024 |
| Characteristics and mechanisms of particle adhesion patterns in an aerodynamic cyclone Y Zhou, S Zhong, L Li Aerosol Science and Technology 51 (11), 1313-1323, 2017 | 4 | 2017 |
| An explainable AI model for power plant NOx emission control Y Zhou, I Aslanidou, M Karlsson, K Kyprianidis Energy and AI 15, 100326, 2024 | 2 | 2024 |
| An Assessment Review of Learning Performance when adopting Augmented Reality in Engineering Education A Berglund, Y Zhou, M Martinsen Bidrag från 8: e Utvecklingskonferensen för Sveriges ingenjörsutbildningar, 32, 2021 | 2 | 2021 |
| A massive reduction of dust particle adhesion in a cyclone by the introduction of a wedge Y Zhou, T See, S Zhong, Z Liu, L Li Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2018 | 2 | 2018 |
| Dynamics and energy harvesting of a flow-induced snapping sheet with nonuniform stiffness distribution Z Wang, J Cui, F Zhao, M Qadri, Y Zhou, H Tang International Journal of Fluid Engineering 1 (4), 2024 | 1 | 2024 |
| Physics-informed neural networks for advection–diffusion–Langmuir adsorption processes B Huang, H Hua, H Han, S He, Y Zhou, S Liu, Z Zuo Physics of Fluids 36 (8), 2024 | 1 | 2024 |
| A two-phase flow node-solid joint simulation algorithm based on heat flow correction B Zhao, Y Zhou, C Ding, S Dong Applied Thermal Engineering, 123712, 2024 | 1 | 2024 |
| A fast natural convection algorithm based on dividing fluid development stages B Zhao, Y Zhou, C Ding, S Dong Physics of Fluids 35 (11), 2023 | 1 | 2023 |
| Identification of swirling air flow velocity by non-neutrally buoyant tracer particle based on machine learning Y Zhou, L Jiang Flow Measurement and Instrumentation 91, 102363, 2023 | 1 | 2023 |
| Particle Adhesion in Cyclone Particle Separators Y Zhou, S Zhong Swirling Flows and Flames, 2018 | 1 | 2018 |
| Picosecond laser surface micro-texturing for the modification of aerodynamic and dust distribution characteristics in a multi-cyclone system OB Otanocha, L Lin, Y Zhou, S Zhong, L Zhu Cogent Engineering 3 (1), 1152746, 2016 | 1 | 2016 |
| Physics informed neural network model for multi-particle interaction forces Y Zhou, H Wang, B Wu, LG Wang, X Chen Particuology 96, 126-138, 2025 | | 2025 |
| Flow reconstruction over a SUBOFF model based on LBM-generated data and physics-informed neural networks X Chu, W Guo, T Wu, Y Zhou, Y Zhang, S Cai, G Yang Ocean Engineering 308, 118250, 2024 | | 2024 |
Shan ZhongProfessor of Experimental Fluid Mechanics, The University of Manchester在 manchester.ac.uk 的电子邮件经过验证
