145 citations · 177 across the 5 of their papers we have counts for
3 papers · 1 filter
StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction
Haoliang Jiang, Zhenguo Nie, Roselyn Yeo +2
Using deep learning to analyze mechanical stress distributions has been gaining interest with the demand for fast stress analysis methods. Deep learning approaches have achieved ex…
3D Conceptual Design Using Deep Learning
Zhangsihao Yang, Haoliang Jiang, Zou Lan
This article proposes a data-driven methodology to achieve a fast design support, in order to generate or develop novel designs covering multiple object categories. This methodolog…
Data-driven Upsampling of Point Clouds
Wentai Zhang, Haoliang Jiang, Zhangsihao Yang +3
High quality upsampling of sparse 3D point clouds is critically useful for a wide range of geometric operations such as reconstruction, rendering, meshing, and analysis. In this pa…