9.2k citations
- Chinese Academy of SciencesCN193 papers
- Tsinghua UniversityCN138 papers
- University of Chinese Academy of SciencesCN109 papers
- University of Science and Technology of ChinaCN90 papers
- Nanjing UniversityCN89 papers
- Peking UniversityCN89 papers
- Shanghai Jiao Tong UniversityCN87 papers
- Centre National de la Recherche ScientifiqueFR72 papers
- Beijing Normal UniversityCN60 papers
- Chinese University of Hong KongHK57 papers
- Sun Yat-sen UniversityCN56 papers
- Nankai UniversityCN52 papers
2,202 papers
CoDG-Net: Structure-Guided Style Diffusion and Collaborative Learning to Mitigate Catastrophic Forgetting in Medical Image Domain Generalization
Yucheng Song, Jincan Wang, Haokang Ding +3
Domain Generalization (DG) for medical image segmentation is both highly challenging and critically important. However, existing medical DG methods largely overlook the issue of Ca…
KT-EGO: A Knowledge Transfer Assisted Efficient Global Optimization Algorithm for Solving High-Dimensional Expensive Black-Box Problems
Qineng Wang, Liming Song, Yun Chen +3
Many engineering problems involve optimizing a high-dimensional expensive black-box (HEB) design space. To solve such problems efficiently, we propose a knowledge transfer assisted…
Parallel Multi-Fidelity Expected Improvement Method for Efficient Global Optimization
Zhendong Guo, Qineng Wang, Liming Song +1
Multi-Fidelity optimization (MFO) has received extensive attentions in engineering design, which resorts to augmenting the small number of expensive high-fidelity (HF) samples by a…
A Dynamic Aggregation Strategy Enhanced Efficient Global Optimization Algorithm for Solving High-Dimensional Turbomachinery Design Problems
Qineng Wang, Zhendong Guo, Yun Chen +3
In order to solve the high-dimensional () expensive black-box problems within budget, an efficient global optimization (EGO) algorithm with a dynamic aggregation strateg…
A panoramic aerodynamic performance prediction method for turbomachinery cascades using transformer-enhanced neural operator
Qineng Wang, Zhendong Guo, Liming Song +1
To enable flexible and rapid aerodynamic performance evaluation in turbomachinery design, this paper proposes a panoramic performance prediction framework. Unlike most previous pre…
Enhancing generalization in endwall film cooling prediction: Incorporating the superposition principle into transformer-based neural operators
Qineng Wang, Liming Song, Tianyuan Liu +1
In this study, a physics-enhanced neural operator framework is proposed to enhance the generalization prediction ability of the cooling layout of a turbine endwall with variable nu…