Tangent-Normal Adversarial Regularization for Semi-supervised Learning
Zhanxing Zhu , Jingfeng Wu , Bing Yu , Jinwen Ma
arXiv: Learning
29
2018
3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting.
Zhanxing Zhu , Bing Yu , Jiyong Zhang , Mengzhang Li
arXiv: Learning
50
2019
ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling.
Zhanxing Zhu , Haoteng Yin , Bing Yu
arXiv: Learning
46
2019
Spatio-temporal graph convolutional networks: a deep learning framework for traffic forecasting
Zhanxing Zhu , Haoteng Yin , Bing Yu
international joint conference on artificial intelligence 3634 -3640
2,076
2018
The Deep Ritz Method: A Deep Learning-Based Numerical Algorithm for Solving Variational Problems
Weinan E , Bing Yu
Communications in Mathematics and Statistics 6 ( 1) 1 -12
250
2018
Classify and Generate Reciprocally: Simultaneous Positive-Unlabelled Learning and Conditional Generation with Extra Data
Bing Yu , Ke Sun , He Wang , Zhouchen Lin
arXiv preprint arXiv:2006.07841
2020
The anisotropic noise in stochastic gradient descent: Its behavior of escaping from minima and regularization effects
Zhanxing Zhu , Jingfeng Wu , Bing Yu , Lei Wu
44
2018
On the learning dynamics of two-layer nonlinear convolutional neural networks
Bing Yu , Junzhao Zhang , Zhanxing Zhu
arXiv preprint arXiv:1905.10157
5
2019
Patch-level neighborhood interpolation: A general and effective graph-based regularization strategy
Ke Sun , Bing Yu , Zhouchen Lin , Zhanxing Zhu
Asian Conference on Machine Learning 1276 -1291
3
2024