214 citations · 937 across the 83 of their papers we have counts for
9 papers · 1 filter
Signal processing with a distribution of graph operators
Feng Ji, Wee Peng Tay
In this paper, we develop a signal processing framework of a network without explicit knowledge of the network topology. Instead, we make use of knowledge on the distribution of op…
Privacy-Preserving Distributed Projection LMS for Linear Multitask Networks
Chengcheng Wang, Wee Peng Tay, Ye Wei +1
We develop a privacy-preserving distributed projection least mean squares (LMS) strategy over linear multitask networks, where agents' local parameters of interest or tasks are lin…
Data-driven Regularized Inference Privacy
Chong Xiao Wang, Wee Peng Tay
Data is used widely by service providers as input to inference systems to perform decision making for authorized tasks. The raw data however allows a service provider to infer othe…
Sampling Theory of Bandlimited Continuous-Time Graph Signals
Feng Ji, Hui Feng, Hang Sheng +1
A continuous-time graph signal can be viewed as a time series of graph signals. It generalizes both the classical continuous-time signal and ordinary graph signal. Therefore, such…
Quickest Change Detection with Privacy Constraint
Tze Siong Lau, Wee Peng Tay
This paper considers Lorden's minimax quickest change detection (QCD) problem with a privacy constraint. The goal is to sanitize a signal to satisfy inference privacy requirements…
Attentive Graph Neural Networks for Few-Shot Learning
Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay +1
Graph Neural Networks (GNN) has demonstrated the superior performance in many challenging applications, including the few-shot learning tasks. Despite its powerful capacity to lear…