4 citations · 10 across the 4 of their papers we have counts for
5 papers
Planning Assembly Sequence with Graph Transformer
Lin Ma, Jiangtao Gong, Hao Xu +4
Assembly sequence planning (ASP) is the essential process for modern manufacturing, proven to be NP-complete thus its effective and efficient solution has been a challenge for rese…
Predicting the Stereoselectivity of Chemical Transformations by Machine Learning
Justin Li, Dakang Zhang, Yifei Wang +3
Stereoselective reactions (both chemical and enzymatic reactions) have been essential for origin of life, evolution, human biology and medicine. Since late 1960s, there have been n…
Robust discovery of partial differential equations in complex situations
Hao Xu, Dongxiao Zhang
Data-driven discovery of partial differential equations (PDEs) has achieved considerable development in recent years. Several aspects of problems have been resolved by sparse regre…
Topological Regularization for Graph Neural Networks Augmentation
Rui Song, Fausto Giunchiglia, Ke Zhao +1
The complexity and non-Euclidean structure of graph data hinder the development of data augmentation methods similar to those in computer vision. In this paper, we propose a featur…
OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration
Hao Xu, Shuaicheng Liu, Guangfu Wang +2
Point cloud registration is a key task in many computational fields. Previous correspondence matching based methods require the inputs to have distinctive geometric structures to f…