Publications (19)
A backward differential deep learning-based algorithm for solving high-dimensional nonlinear backward stochastic differential equations
Lorenc Kapllani, Long Teng
In this work, we propose a novel backward differential deep learning-based algorithm for solving high-dimensional nonlinear backward stochastic differential equations (BSDEs), wher…
Uncertainty quantification for deep learning-based schemes for solving high-dimensional backward stochastic differential equations
Lorenc Kapllani, Long Teng, Matthias Rottmann
Deep learning-based numerical schemes for solving high-dimensional backward stochastic differential equations (BSDEs) have recently raised plenty of scientific interest. While they…
AIGCOIQA2024: Perceptual Quality Assessment of AI Generated Omnidirectional Images
Liu Yang, Huiyu Duan, Long Teng +6
In recent years, the rapid advancement of Artificial Intelligence Generated Content (AIGC) has attracted widespread attention. Among the AIGC, AI generated omnidirectional images h…
A Review of Tree-based Approaches to solve Forward-Backward Stochastic Differential Equations
Long Teng
In this work, we study solving (decoupled) forward-backward stochastic differential equations (FBSDEs) numerically using the regression trees. Based on the general theta-discretiza…
Topic-aware Most Influential Community Search in Social Networks
Long Teng, Yanhao Wang, Zhe Lin +1
Influential community search (ICS) finds a set of densely connected and high-impact vertices from a social network. Although great effort has been devoted to ICS problems, most exi…
Masked Autoencoders as Image Processors
Huiyu Duan, Wei Shen, Xiongkuo Min +4
Transformers have shown significant effectiveness for various vision tasks including both high-level vision and low-level vision. Recently, masked autoencoders (MAE) for feature pr…