17 citations · 23 across the 5 of their papers we have counts for
4 papers
Hyperbolic Convolution via Kernel Point Aggregation
Eric Qu, Dongmian Zou
Learning representations according to the underlying geometry is of vital importance for non-Euclidean data. Studies have revealed that the hyperbolic space can effectively embed h…
Graph Neural Network Based Node Deployment for Throughput Enhancement
Yifei Yang, Dongmian Zou, Xiaofan He
The recent rapid growth in mobile data traffic entails a pressing demand for improving the throughput of the underlying wireless communication networks. Network node deployment has…
Lipschitz Properties for Deep Convolutional Networks
Radu Balan, Maneesh Singh, Dongmian Zou
In this paper we discuss the stability properties of convolutional neural networks. Convolutional neural networks are widely used in machine learning. In classification they are ma…
Phase Retrieval using Lipschitz Continuous Maps
Radu Balan, Dongmian Zou
In this note we prove that reconstruction from magnitudes of frame coefficients (the so called "phase retrieval problem") can be performed using Lipschitz continuous maps. Specific…