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Hongqiang Lyu

Observed names: Hongqiang LYU, Lyu, Hongqiang
ORCID: 0009-0005-9329-9404
Observed ORCID: 0009-0005-9329-9404
OpenAlex ID: A5014737569
A deep learning approach for efficiently and accurately evaluating the flow field of supercritical airfoils
2019 · Haizhou Wu, Xuejun Liu, et al. · Computers & Fluids · 138
A generative deep learning framework for airfoil flow field prediction with sparse data
2021 · Haizhou WU, Xuejun LIU, et al. · Chinese Journal of Aeronautics · 75
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A general deep transfer learning framework for predicting the flow field of airfoils with small data
2022 · Zhipeng Wang, Xuejun Liu, et al. · Computers & Fluids · 63
A mesh optimization method using machine learning technique and variational mesh adaptation
2021 · Tingfan WU, Xuejun LIU, et al. · Chinese Journal of Aeronautics · 39
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On developing data-driven turbulence model for DG solution of RANS
2019 · Liang SUN, Wei AN, et al. · Chinese Journal of Aeronautics · 24
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A data-driven deep learning approach for predicting separation-induced transition of submarines
2022 · Yang Xuan, Hongqiang Lyu, et al. · Physics of Fluids · 14
Portfolio-Based Bayesian Optimization for Airfoil Design
2021 · Zijing Liu, Wei An, et al. · AIAA Journal · 14
State of Charge Estimation for Batteries Based on Common Feature Extraction and Transfer Learning
2023 · Xiaoyu Li, Jianhua Xu, et al. · Batteries · 13
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Flow2Mesh: A flow-guided data-driven mesh adaptation framework
2024 · Jian Yu, Hongqiang Lyu, et al. · Physics of Fluids · 12
Correlation-concerned Bayesian optimization for multi-objective airfoil design
2022 · Zijing Liu, Xiyao Qu, et al. · Aerospace Science and Technology · 12
Implicit geometry neural network for mesh generation
2024 · Ran XU, Hongqiang LYU, et al. · Chinese Journal of Aeronautics · 7
Dynamics-disentangled deep learning model for multi-cycle prediction of unsteady flow field
2022 · Xiyao Qu, Zijing Liu, et al. · Physics of Fluids · 7
Mesh optimization using an improved self-organizing mechanism
2023 · Jian Yu, Mingzhen Wang, et al. · Computers & Fluids · 6
Predicting pressure coefficients of wing surface based on the transfer of spatial dependency
2022 · Xiyao Qu, Zijing Liu, et al. · AIP Advances · 5
Para2Mesh: A dual diffusion framework for moving mesh adaptation
2025 · Jian YU, Hongqiang LYU, et al. · Chinese Journal of Aeronautics · 4
An R-adaptive algorithm based on self-organizing maps for solving incompressible flows with high-order discontinuous Galerkin methods
2023 · Wei An, Jian Yu, et al. · Computers & Fluids · 3
Implicit discontinuous Galerkin method on agglomerated high-order grids for 3D simulations
2016 · Wanglong Qin, Hongqiang Lyu, et al. · Chinese Journal of Aeronautics · 3
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Geometry-aware generative hybrid meshing with anisotropic and isotropic elements
2025 · Ran Xu, Chenyu Bao, et al. · Physics of Fluids · 1
Predicting unsteady hydrodynamic performance of seaplanes based on diffusion models
2025 · Xinlong YU, Miao PENG, et al. · Chinese Journal of Aeronautics · 1
An attention-neural-processes approach to reconstructing unsteady water load for seaplanes
2024 · Junlong Zhang, Huanan Ai, et al. · Physics of Fluids · 1
Cartesian mesh adaptation: Immersed boundary method based on high-order discontinuous Galerkin method
2024 · Wenxuan Ouyang, Jianjian Huang, et al. · Physics of Fluids · 1
Robust Bayesian optimization with reinforcement learned acquisition functions
2022 · Liu, Zijing, Qu, Xiyao, et al. · arXiv (Cornell University) · 1
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An h-adaptive Discontinuous Galerkin Method for Laminar Compressible Navier-Stokes Equations on Curved Mesh
2016 · 吕宏强 孙强, Qiang Sun, et al. · 1
Unified shock and interface capturing in an adaptive high-order discontinuous Galerkin method for compressible two-phase flows
2026 · Wenxuan Ouyang, Jianjian Huang, et al. · Physics of Fluids
A stress–strain consistent dual-stress formulation for granular flow simulation in SPH
2026 · Fan Zhang, Chenyu Bao, et al. · Powder Technology
Works count: 34
Citation count: 445
H-index: 10
I10-index: 10
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