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Jun-Qiao Wang

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Sep 2026

A fast prediction approach for airfoil flow field based on the deep neural network framework

A rapid aerodynamic prediction framework, termed ParaAero-Net, is proposed for low-Mach-number two-dimensional airfoils under small-sample conditions. Unlike conventional data-driven approaches that focus only on either flow-field reconstruction or aerodynamic coefficient prediction, ParaAero-Net integrates geometry-aw...

Jun-Qiao Wang, Chen Liu, Xu Zhan et al. · 0 citations
Open access Aug 2026

Learning Adaptive Cross-Modal Interactions for Multimodal Sentiment Analysis

A framework for learning adaptive cross-modal interactions for multimodal sentiment analysis that consistently outperforms previous methods and enhances multimodal representation capability for sentiment classification is proposed.

Chuhan Cheng, Hangcheng Wu, Jun-Qiao Wang et al. · 0 citations

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