8 citations · 22 across the 8 of their papers we have counts for
10 papers
Semi-supervised Drifted Stream Learning with Short Lookback
Weijieying Ren, Pengyang Wang, Xiaolin Li +2
In many scenarios, 1) data streams are generated in real time; 2) labeled data are expensive and only limited labels are available in the beginning; 3) real-world data is not alway…
Reinforced Imitative Graph Learning for Mobile User Profiling
Dongjie Wang, Pengyang Wang, Yanjie Fu +3
Mobile user profiling refers to the efforts of extracting users' characteristics from mobile activities. In order to capture the dynamic varying of user characteristics for generat…
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective
Dongjie Wang, Pengyang Wang, Kunpeng Liu +3
In this paper, we study the problem of mobile user profiling, which is a critical component for quantifying users' characteristics in the human mobility modeling pipeline. Human mo…
Facial Expression Representation Learning by Synthesizing Expression Images
Kamran Ali, Charles E. Hughes
Representations used for Facial Expression Recognition (FER) usually contain expression information along with identity features. In this paper, we propose a novel Disentangled Exp…
All-In-One: Facial Expression Transfer, Editing and Recognition Using A Single Network
Kamran Ali, Charles E. Hughes
In this paper, we present a unified architecture known as Transfer-Editing and Recognition Generative Adversarial Network (TER-GAN) which can be used: 1. to transfer facial express…
Facial Expression Recognition Using Human to Animated-Character Expression Translation
Kamran Ali, Ilkin Isler, Charles Hughes
Facial expression recognition is a challenging task due to two major problems: the presence of inter-subject variations in facial expression recognition dataset and impure expressi…