Author

Yuanwei Bin

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#machine learning Jun 2026

A Geometry-Aware Triplane Field Network for Vehicle Aerodynamic Prediction

Alation results show that AFNO mixing, local CNN refinement, and query-side geometric encoding each contribute to accuracy, supporting the proposed mechanism of combining structured triplane representation with explicit aerodynamic geometry cues.

Kang-Kang Qi, Hui-Yu Yang, Ke-Qi Ding et al. · Theoretical and Applied Mech... · 1 citation

Jul 2026

Knowledge-Constrained Shape Optimization with a Mixture-of-Experts Neural Operator for High-Confidence Design

A Mixture-of-Experts Neural Operator (MoE-NO) is developed to improve drag prediction and trend consistency over heterogeneous aerodynamic datasets and an uncertainty-estimation strategy is introduced to detect out-of-distribution geometries and selectively trigger physics-solver feedback for local sample enrichment.

Wen-Hao Fan, Yuan-Wei Bin, Jiang-Hang Gu et al. · arXiv.org · 0 citations

Preprint Jul 2026

ArtisanCAD: An Industrial-Level CAD Agent with Expert-Grounded Knowledge Distillation

ArtisanCAD is a skill-guided industrial CAD agent with expert-grounded knowledge distillation that enables expert CATIA recordings to be distilled into reusable skills, allowing ArtisanCAD to generate editable CATIA-native B-Rep models for new variant requests.

Yunhan Xu, Qifeng Wu, Xunjin Li et al. · 3 citations · ⚡1