6 citations · 14 across the 9 of their papers we have counts for
5 papers · 1 filter
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis
Zihang Meng, Rudrasis Chakraborty, Vikas Singh
We present an efficient stochastic algorithm (RSG+) for canonical correlation analysis (CCA) using a reparametrization of the projection matrices. We show how this reparametrizatio…
Graph Neural Networks to Predict Customer Satisfaction Following Interactions with a Corporate Call Center
Teja Kanchinadam, Zihang Meng, Joseph Bockhorst +2
Customer satisfaction is an important factor in creating and maintaining long-term relationships with customers. Near real-time identification of potentially dissatisfied customers…
Physarum Powered Differentiable Linear Programming Layers and Applications
Zihang Meng, Sathya N. Ravi, Vikas Singh
Consider a learning algorithm, which involves an internal call to an optimization routine such as a generalized eigenvalue problem, a cone programming problem or even sorting. Inte…
Fooling Computer Vision into Inferring the Wrong Body Mass Index
Owen Levin, Zihang Meng, Vikas Singh +1
Recently it's been shown that neural networks can use images of human faces to accurately predict Body Mass Index (BMI), a widely used health indicator. In this paper we demonstrat…
ReabsNet: Detecting and Revising Adversarial Examples
Jiefeng Chen, Zihang Meng, Changtian Sun +2
Though deep neural network has hit a huge success in recent studies and applica- tions, it still remains vulnerable to adversarial perturbations which are imperceptible to humans.…