2 citations · 7 across the 7 of their papers we have counts for
7 papers
Beyond the Norm: A Survey of Synthetic Data Generation for Rare Events
Jingyi Gu, Xuan Zhang, Guiling Wang
Extreme events, such as market crashes, natural disasters, and pandemics, are rare but catastrophic, often triggering cascading failures across interconnected systems. Accurate pre…
Eye-See-You: Reverse Pass-Through VR and Head Avatars
Ankan Dash, Jingyi Gu, Guiling Wang +1
Virtual Reality (VR) headsets, while integral to the evolving digital ecosystem, present a critical challenge: the occlusion of users' eyes and portions of their faces, which hinde…
Self-Supervised Learning for User Localization
Ankan Dash, Jingyi Gu, Guiling Wang +1
Machine learning techniques have shown remarkable accuracy in localization tasks, but their dependency on vast amounts of labeled data, particularly Channel State Information (CSI)…
RAGIC: Risk-Aware Generative Adversarial Model for Stock Interval Construction
Jingyi Gu, Wenlu Du, Guiling Wang
Efforts to predict stock market outcomes have yielded limited success due to the inherently stochastic nature of the market, influenced by numerous unpredictable factors. Many exis…
HI-GAN: Hierarchical Inpainting GAN with Auxiliary Inputs for Combined RGB and Depth Inpainting
Ankan Dash, Jingyi Gu, Guiling Wang
Inpainting involves filling in missing pixels or areas in an image, a crucial technique employed in Mixed Reality environments for various applications, particularly in Diminished…
VDKMS: Vehicular Decentralized Key Management System for Cellular Vehicular-to-Everything Networks, A Blockchain-Based Approach
Wei Yao, Yuhong Liu, Fadi P. Deek +1
The rapid development of intelligent transportation systems and connected vehicles has highlighted the need for secure and efficient key management systems (KMS). In this paper, we…
Stock Broad-Index Trend Patterns Learning via Domain Knowledge Informed Generative Network
Jingyi Gu, Fadi P. Deek, Guiling Wang
Predicting the Stock movement attracts much attention from both industry and academia. Despite such significant efforts, the results remain unsatisfactory due to the inherently com…