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Xuebin Zheng
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2020 – today
- 2023
- [j5]Xuebin Zheng, Bingxin Zhou, Ming Li, Yu Guang Wang, Junbin Gao:
MathNet: Haar-like wavelet multiresolution analysis for graph representation learning. Knowl. Based Syst. 273: 110609 (2023) - 2022
- [j4]Xuebin Zheng, Bingxin Zhou, Yu Guang Wang, Xiaosheng Zhuang:
Decimated Framelet System on Graphs and Fast G-Framelet Transforms. J. Mach. Learn. Res. 23: 18:1-18:68 (2022) - [j3]Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao:
Embedding graphs on Grassmann manifold. Neural Networks 152: 322-331 (2022) - [i7]Mengxi Yang, Xuebin Zheng, Jie Yin, Junbin Gao:
Quasi-Framelets: Another Improvement to GraphNeural Networks. CoRR abs/2201.04728 (2022) - [i6]Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao:
Embedding Graphs on Grassmann Manifold. CoRR abs/2205.15068 (2022) - 2021
- [c4]Wenyu Ma, Jianwei Yang, Xuebin Zheng, Baochuan Wang, Yongqiang Zhang, Chunguang Li:
Automotive safety analysis of front bumper crash for low-speed collision. AIAM (ACM) 2021: 2829-2832 - [c3]Wenyu Ma, Xuebin Zheng, Yongqiang Zhang, Jianwei Yang, Baochuan Wang, Chunguang Li:
The effect of bumper thickness on the automotive crash safety performance. AIAM (ACM) 2021: 2833-2837 - [c2]Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yuguang Wang, Pietro Lió, Ming Li, Guido Montúfar:
How Framelets Enhance Graph Neural Networks. ICML 2021: 12761-12771 - [i5]Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yu Guang Wang, Pietro Liò, Ming Li, Guido Montúfar:
How Framelets Enhance Graph Neural Networks. CoRR abs/2102.06986 (2021) - [i4]Bingxin Zhou, Ruikun Li, Xuebin Zheng, Yu Guang Wang, Junbin Gao:
Graph Denoising with Framelet Regularizer. CoRR abs/2111.03264 (2021) - 2020
- [c1]Bingxin Zhou, Xuebin Zheng, Junbin Gao:
On the Trend-corrected Variant of Adaptive Stochastic Optimization Methods. IJCNN 2020: 1-8 - [i3]Bingxin Zhou, Xuebin Zheng, Junbin Gao:
ADAMT: A Stochastic Optimization with Trend Correction Scheme. CoRR abs/2001.06130 (2020) - [i2]Xuebin Zheng, Bingxin Zhou, Ming Li, Yu Guang Wang, Junbin Gao:
Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide. CoRR abs/2007.11202 (2020) - [i1]Xuebin Zheng, Bingxin Zhou, Yu Guang Wang, Xiaosheng Zhuang:
Decimated Framelet System on Graphs and Fast G-Framelet Transforms. CoRR abs/2012.06922 (2020)
2000 – 2009
- 2008
- [j2]Jagath C. Rajapakse, Yang Wang, Xuebin Zheng, Juan Helen Zhou:
Probabilistic Framework for Brain Connectivity From Functional MR Images. IEEE Trans. Medical Imaging 27(6): 825-833 (2008) - 2007
- [b1]Xuebin Zheng:
Bayesian network modeling of neural systems with functional MR images. Nanyang Technological University, Singapore, 2007 - 2006
- [j1]Xuebin Zheng, Jagath C. Rajapakse:
Learning functional structure from fMR images. NeuroImage 31(4): 1601-1613 (2006)
Coauthor Index
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