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cs.LG2025★ 6 cited
DrivAer Transformer: A high-precision and fast prediction method for vehicle aerodynamic drag coefficient based on the DrivAerNet++ dataset
Jiaqi He, Xiangwen Luo, Yiping Wang
At the current stage, deep learning-based methods have demonstrated excellent capabilities in evaluating aerodynamic performance, significantly reducing the time and cost required…
cs.LG2021
Regularized Recovery by Multi-order Partial Hypergraph Total Variation
Ruyuan Qu, Jiaqi He, Hui Feng +2
Capturing complex high-order interactions among data is an important task in many scenarios. A common way to model high-order interactions is to use hypergraphs whose topology can…