Xuebin Zheng

According to our database, Xuebin Zheng authored at least 14 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

MathNet: Haar-like wavelet multiresolution analysis for graph representation learning.

Xuebin Zheng, Bingxin Zhou, Ming Li, Yu Guang Wang, Junbin Gao

Knowl. Based Syst., 2023

2022

Embedding graphs on Grassmann manifold.

Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao

Neural Networks, 2022

Decimated Framelet System on Graphs and Fast G-Framelet Transforms.

Xuebin Zheng, Bingxin Zhou, Yu Guang Wang, Xiaosheng Zhuang

J. Mach. Learn. Res., 2022

Quasi-Framelets: Another Improvement to GraphNeural Networks.

Mengxi Yang, Xuebin Zheng, Jie Yin, Junbin Gao

CoRR, 2022

2021

Graph Denoising with Framelet Regularizer.

Bingxin Zhou, Ruikun Li, Xuebin Zheng, Yu Guang Wang, Junbin Gao

CoRR, 2021

How Framelets Enhance Graph Neural Networks.

Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yuguang Wang, Pietro Lió, Ming Li, Guido Montúfar

Proceedings of the 38th International Conference on Machine Learning, 2021

The effect of bumper thickness on the automotive crash safety performance.

Wenyu Ma, Xuebin Zheng, Yongqiang Zhang, Jianwei Yang, Baochuan Wang, Chunguang Li

Proceedings of the AIAM 2021: 3rd International Conference on Artificial Intelligence and Advanced Manufacture, Manchester, United Kingdom, October 23, 2021

Automotive safety analysis of front bumper crash for low-speed collision.

Wenyu Ma, Jianwei Yang, Xuebin Zheng, Baochuan Wang, Yongqiang Zhang, Chunguang Li

Proceedings of the AIAM 2021: 3rd International Conference on Artificial Intelligence and Advanced Manufacture, Manchester, United Kingdom, October 23, 2021

2020

Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide.

Xuebin Zheng, Bingxin Zhou, Ming Li, Yu Guang Wang, Junbin Gao

CoRR, 2020

ADAMT: A Stochastic Optimization with Trend Correction Scheme.

Bingxin Zhou, Xuebin Zheng, Junbin Gao

CoRR, 2020

On the Trend-corrected Variant of Adaptive Stochastic Optimization Methods.

Bingxin Zhou, Xuebin Zheng, Junbin Gao

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2008

Probabilistic Framework for Brain Connectivity From Functional MR Images.

Jagath C. Rajapakse, Yang Wang, Xuebin Zheng, Juan Helen Zhou

IEEE Trans. Medical Imaging, 2008

2007

Bayesian network modeling of neural systems with functional MR images

Xuebin Zheng

PhD thesis, 2007

2006

Learning functional structure from fMR images.

Xuebin Zheng, Jagath C. Rajapakse

NeuroImage, 2006