8 citations · 20 across the 8 of their papers we have counts for
8 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)…
From Factor Models to Deep Learning: Machine Learning in Reshaping Empirical Asset Pricing
Junyi Ye, Bhaskar Goswami, Jingyi Gu +2
This paper comprehensively reviews the application of machine learning (ML) and AI in finance, specifically in the context of asset pricing. It starts by summarizing the traditiona…
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…
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…
SafeLight: A Reinforcement Learning Method toward Collision-free Traffic Signal Control
Wenlu Du, Junyi Ye, Jingyi Gu +3
Traffic signal control is safety-critical for our daily life. Roughly one-quarter of road accidents in the U.S. happen at intersections due to problematic signal timing, urging the…