1 citations · 2 across the 4 of their papers we have counts for
4 papers
Detection of Uncertainty in Exceedance of Threshold (DUET): An Adversarial Patch Localizer
Terence Jie Chua, Wenhan Yu, Jun Zhao
Development of defenses against physical world attacks such as adversarial patches is gaining traction within the research community. We contribute to the field of adversarial patc…
Mobile Edge Adversarial Detection for Digital Twinning to the Metaverse with Deep Reinforcement Learning
Terence Jie Chua, Wenhan Yu, Jun Zhao
Real-time Digital Twinning of physical world scenes onto the Metaverse is necessary for a myriad of applications such as augmented-reality (AR) assisted driving. In AR assisted dri…
Virtual Reality in Metaverse over Wireless Networks with User-centered Deep Reinforcement Learning
Wenhan Yu, Terence Jie Chua, Jun Zhao
The Metaverse and its promises are fast becoming reality as maturing technologies are empowering the different facets. One of the highlights of the Metaverse is that it offers the…
User-centric Heterogeneous-action Deep Reinforcement Learning for Virtual Reality in the Metaverse over Wireless Networks
Wenhan Yu, Terence Jie Chua, Jun Zhao
The Metaverse is emerging as maturing technologies are empowering the different facets. Virtual Reality (VR) technologies serve as the backbone of the virtual universe within the M…