activity
20102021
most citedNeural Network for NILM Based on Operational State Change Classification

6 citations · 11 across the 8 of their papers we have counts for

collaborators

8 papers

cs.DM2021

How likely is a random graph shift-enabled?

Liyan Chen, Samuel Cheng, Vladimir Stankovic +1

The shift-enabled property of an underlying graph is essential in designing distributed filters. This article discusses when a random graph is shift-enabled. In particular, popular…

cs.LG2020★ 1 cited

Probabilistic Federated Learning of Neural Networks Incorporated with Global Posterior Information

Peng Xiao, Samuel Cheng

In federated learning, models trained on local clients are distilled into a global model. Due to the permutation invariance arises in neural networks, it is necessary to match the…

eess.SP2019

Implementing distributed graph filters by elementary matrix decomposition

Samuel Cheng

In this letter, we consider the implementation problem of distributed graph filters, where each node only has access to the signals of the current and its neighboring nodes. By usi…

cs.LG2019★ 6 cited

Neural Network for NILM Based on Operational State Change Classification

Peng Xiao, Samuel Cheng

Energy disaggregation in a non-intrusive way estimates appliance level electricity consumption from a single meter that measures the whole house electricity demand. Recently, with…

eess.SP2018

Undirected graphs: is the shift-enabled condition trivial or necessary?

Liyan Chen, Samuel Cheng, Kanghang He +2

It has recently been shown that, contrary to the wide belief that a shift-enabled condition (necessary for any shift-invariant filter to be representable by a graph shift matrix) c…

cs.IT2015★ 3 cited

Binary Rate Distortion With Side Information: The Asymmetric Correlation Channel Case

Andrei Sechelea, Samuel Cheng, Adrian Munteanu +1

Advancing over up-to-date information theoretic results that assume symmetric correlation models, in this work we consider the problem of lossy binary source coding with side infor…

math.NA2010★ 1 cited

Decomposition Approach for Low-rank Matrix Completion

Rick Ma, Samuel Cheng

In this paper, we describe a low-rank matrix completion method based on matrix decomposition. An incomplete matrix is decomposed into submatrices which are filled with a proposed t…

cs.IT2010

Hamming Code for Multiple Sources

Rick Ma, Samuel Cheng

We consider Slepian-Wolf (SW) coding of multiple sources and extend the packing bound and the notion of perfect code from conventional channel coding to SW coding with more than tw…