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- Institute of Modern PhysicsCN636 papers
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186 papers · 1 filter
HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation
Chao Chen, Zhihang Fu, Zhihong Chen +4
Minimizing the discrepancy of feature distributions between different domains is one of the most promising directions in unsupervised domain adaptation. From the perspective of dis…
Hierarchical Graph Pooling with Structure Learning
Zhen Zhang, Jiajun Bu, Martin Ester +4
Graph Neural Networks (GNNs), which generalize deep neural networks to graph-structured data, have drawn considerable attention and achieved state-of-the-art performance in numerou…
A Dimension Reduction-Based Joint Activity Detection and Channel Estimation Algorithm for Massive Access
Xiaodan Shao, Xiaoming Chen, Rundong Jia
Grant-free random access is a promising protocol to support massive access in beyond fifth-generation (B5G) cellular Internet-of-Things (IoT) with sporadic traffic. Specifically, i…
Penalized-likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding
Nuobei Xie, Kuang Gong, Ning Guo +4
Positron emission tomography (PET) is widely used for clinical diagnosis. As PET suffers from low resolution and high noise, numerous efforts try to incorporate anatomical priors i…
Orbital Angular Momentum Multiplexing in Highly Reverberant Environments
Xiaoming Chen, Wei Xue, Hongyu Shi +2
Previous studies on orbital angular momentum (OAM) communication mainly considered line-of-sight environments. In this letter, however, it is found that OAM communication with high…
Functional central limit theorems for random vectors under sub-linear expectations
Li-Xin Zhang
The central limit theorem of martingales is the fundamental tool for studying the convergence of stochastic processes. The central limit theorem and functional central limit theore…