4 citations · 6 across the 3 of their papers we have counts for
6 papers
Find Your Friends: Personalized Federated Learning with the Right Collaborators
Yi Sui, Junfeng Wen, Yenson Lau +2
In the traditional federated learning setting, a central server coordinates a network of clients to train one global model. However, the global model may serve many clients poorly…
Efficient Gravitational-wave Glitch Identification from Environmental Data Through Machine Learning
Robert E. Colgan, K. Rainer Corley, Yenson Lau +4
The LIGO observatories detect gravitational waves through monitoring changes in the detectors' length down to below \, variation---a small fraction of the si…
Short-and-Sparse Deconvolution -- A Geometric Approach
Yenson Lau, Qing Qu, Han-Wen Kuo +3
Short-and-sparse deconvolution (SaSD) is the problem of extracting localized, recurring motifs in signals with spatial or temporal structure. Variants of this problem arise in appl…
On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution
Yuqian Zhang, Yenson Lau, Han-Wen Kuo +3
Blind deconvolution is the problem of recovering a convolutional kernel and an activation signal from their convolution $\boldsymbol y = \boldsy…
Geometry and Symmetry in Short-and-Sparse Deconvolution
Han-Wen Kuo, Yenson Lau, Yuqian Zhang +1
We study the problem of recovering a short signal and a sparse signal from their convolution. We propose…
Dictionary Learning in Fourier Transform Scanning Tunneling Spectroscopy
Sky C. Cheung, John Y. Shin, Yenson Lau +5
Modern high-resolution microscopes, such as the scanning tunneling microscope, are commonly used to study specimens that have dense and aperiodic spatial structure. Extracting mean…