25 citations · 37 across the 6 of their papers we have counts for
6 papers
Edge-based Tensor prediction via graph neural networks
Yang Zhong, Hongyu Yu, Xingao Gong +1
Message-passing neural networks (MPNN) have shown extremely high efficiency and accuracy in predicting the physical properties of molecules and crystals, and are expected to become…
Regularizing CNN Transfer Learning with Randomised Regression
Yang Zhong, Atsuto Maki
This paper is about regularizing deep convolutional networks (CNNs) based on an adaptive framework for transfer learning with limited training data in the target domain. Recent adv…
Target Aware Network Adaptation for Efficient Representation Learning
Yang Zhong, Vladimir Li, Ryuzo Okada +1
This paper presents an automatic network adaptation method that finds a ConvNet structure well-suited to a given target task, e.g., image classification, for efficiency as well as…
Face Attribute Prediction Using Off-the-Shelf CNN Features
Yang Zhong, Josephine Sullivan, Haibo Li
Predicting attributes from face images in the wild is a challenging computer vision problem. To automatically describe face attributes from face containing images, traditionally on…
Leveraging Mid-Level Deep Representations For Predicting Face Attributes in the Wild
Yang Zhong, Josephine Sullivan, Haibo Li
Predicting facial attributes from faces in the wild is very challenging due to pose and lighting variations in the real world. The key to this problem is to build proper feature re…
Leveraging the Power of Gabor Phase for Face Identification: A Block Matching Approach
Yang Zhong, Haibo Li
Different from face verification, face identification is much more demanding. To reach comparable performance, an identifier needs to be roughly N times better than a verifier. To…