41 citations · 70 across the 5 of their papers we have counts for
8 papers
On the Learning Dynamics of Two-layer Nonlinear Convolutional Neural Networks
Bing Yu, Junzhao Zhang, Zhanxing Zhu
Convolutional neural networks (CNNs) have achieved remarkable performance in various fields, particularly in the domain of computer vision. However, why this architecture works wel…
No dialgebra has Gelfand-Kirillov dimension strictly between 1 and 2
Zerui Zhang, Yuqun Chen, Bing Yu
The Gelfand-Kirillov dimension measures the asymptotic growth rate of algebras. For every associative dialgebra , the quotient $\mathcal{A}_\mathcal{D}:=\mathcal{D}/\m…
3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting
Bing Yu, Mengzhang Li, Jiyong Zhang +1
Spatio-temporal prediction plays an important role in many application areas especially in traffic domain. However, due to complicated spatio-temporal dependency and high non-linea…
Tangent-Normal Adversarial Regularization for Semi-supervised Learning
Bing Yu, Jingfeng Wu, Jinwen Ma +1
Compared with standard supervised learning, the key difficulty in semi-supervised learning is how to make full use of the unlabeled data. A recently proposed method, virtual advers…
Load Balanced GANs for Multi-view Face Image Synthesis
Jie Cao, Yibo Hu, Bing Yu +2
Multi-view face synthesis from a single image is an ill-posed problem and often suffers from serious appearance distortion. Producing photo-realistic and identity preserving multi-…
The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects
Zhanxing Zhu, Jingfeng Wu, Bing Yu +2
Understanding the behavior of stochastic gradient descent (SGD) in the context of deep neural networks has raised lots of concerns recently. Along this line, we study a general for…