17 citations · 29 across the 4 of their papers we have counts for
4 papers
Bayesian Federated Neural Matching that Completes Full Information
Peng Xiao, Samuel Cheng
Federated learning is a contemporary machine learning paradigm where locally trained models are distilled into a global model. Due to the intrinsic permutation invariance of neural…
Capsule networks with non-iterative cluster routing
Zhihao Zhao, Samuel Cheng
Capsule networks use routing algorithms to flow information between consecutive layers. In the existing routing procedures, capsules produce predictions (termed votes) for capsules…
Shift-enabled graphs: Graphs where shift-invariant filters are representable as polynomials of shift operations
Liyan Chen, Samuel Cheng, Vlandimir Stankovic +1
In digital signal processing, shift-invariant filters can be represented as a polynomial expansion of a shift operation,that is, the Z-transform representation. When extended to gr…
Zero-error Slepian-Wolf Coding of Confined Correlated Sources with Deviation Symmetry
Rick Ma, Samuel Cheng
In this paper, we use linear codes to study zero-error Slepian-Wolf coding of a set of sources with deviation symmetry, where the sources are generalization of the Hamming sources…