Graphical models for brain connectivity from functional imaging data. - Xuebin Zheng; Jagath C. Rajapakse (IJCNN, 2004)

Learning functional structure from fMR images. - Xuebin Zheng; Jagath C. Rajapakse (NeuroImage, 2006)

Bayesian network modeling of neural systems with functional MR images - Xuebin Zheng (2007)

Probabilistic Framework for Brain Connectivity From Functional MR Images. - Jagath C. Rajapakse; Yang Wang 002; Xuebin Zheng; Juan Helen Zhou (IEEE Trans. Medical Imaging, 2008)

On the Trend-corrected Variant of Adaptive Stochastic Optimization Methods. - Bingxin Zhou; Xuebin Zheng; Junbin Gao (IJCNN, 2020)

ADAMT: A Stochastic Optimization with Trend Correction Scheme. - Bingxin Zhou; Xuebin Zheng; Junbin Gao (CoRR, 2020)

Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide. - Xuebin Zheng; Bingxin Zhou; Ming Li 065; Yu Guang Wang 001; Junbin Gao (CoRR, 2020)

Automotive safety analysis of front bumper crash for low-speed collision. - Wenyu Ma; Jianwei Yang; Xuebin Zheng; Baochuan Wang; Yongqiang Zhang; Chunguang Li (AIAM (ACM), 2021)

The effect of bumper thickness on the automotive crash safety performance. - Wenyu Ma; Xuebin Zheng; Yongqiang Zhang; Jianwei Yang; Baochuan Wang; Chunguang Li (AIAM (ACM), 2021)

How Framelets Enhance Graph Neural Networks. - Xuebin Zheng; Bingxin Zhou; Junbin Gao; Yuguang Wang 001; Pietro Lió; Ming Li 065; Guido Montúfar (ICML, 2021)

Graph Denoising with Framelet Regularizer. - Bingxin Zhou; Ruikun Li 001; Xuebin Zheng; Yu Guang Wang 001; Junbin Gao (CoRR, 2021)

Quasi-Framelets: Another Improvement to GraphNeural Networks. - Mengxi Yang; Xuebin Zheng; Jie Yin 001; Junbin Gao (CoRR, 2022)

Decimated Framelet System on Graphs and Fast G-Framelet Transforms. - Xuebin Zheng; Bingxin Zhou; Yu Guang Wang 001; Xiaosheng Zhuang (J. Mach. Learn. Res., 2022)

Embedding graphs on Grassmann manifold. - Bingxin Zhou; Xuebin Zheng; Yu Guang Wang 001; Ming Li 065; Junbin Gao (Neural Networks, 2022)

MathNet: Haar-like wavelet multiresolution analysis for graph representation learning. - Xuebin Zheng; Bingxin Zhou; Ming Li 065; Yu Guang Wang 001; Junbin Gao (Knowl. Based Syst., 2023)

Graph Denoising With Framelet Regularizers. - Bingxin Zhou; Ruikun Li 001; Xuebin Zheng; Yu Guang Wang 001; Junbin Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Quasi-framelets: robust graph neural networks via adaptive framelet convolution. - Mengxi Yang; Dai Shi; Xuebin Zheng; Jie Yin 001; Junbin Gao (Int. J. Mach. Learn. Cybern., 2025)