40 citations · 70 across the 4 of their papers we have counts for
5 papers
Component Segmentation of Engineering Drawings Using Graph Convolutional Networks
Wentai Zhang, Joe Joseph, Yue Yin +5
We present a data-driven framework to automate the vectorization and machine interpretation of 2D engineering part drawings. In industrial settings, most manufacturing engineers st…
Attention Routing: track-assignment detailed routing using attention-based reinforcement learning
Haiguang Liao, Qingyi Dong, Xuliang Dong +5
In the physical design of integrated circuits, global and detailed routing are critical stages involving the determination of the interconnected paths of each net on a circuit whil…
A Deep Reinforcement Learning Approach for Global Routing
Haiguang Liao, Wentai Zhang, Xuliang Dong +3
Global routing has been a historically challenging problem in electronic circuit design, where the challenge is to connect a large and arbitrary number of circuit components with w…
3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders
Wentai Zhang, Zhangsihao Yang, Haoliang Jiang +5
We propose a data-driven 3D shape design method that can learn a generative model from a corpus of existing designs, and use this model to produce a wide range of new designs. The…
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…