no code implementations • 12 Jul 2023 • Daning Huang, Muhammad Bayu Prasetyo, Yin Yu, Junyi Geng
The accurate modeling and control of nonlinear dynamical effects are crucial for numerous robotic systems.
no code implementations • 26 Apr 2022 • Yin Yu, Hutchcroft Will, Khosravan Naji, Boyadzhiev Ivaylo, Fu Yun, Kang Sing Bing
In this paper, we propose to extract topological information from room attributes using what we call Iterative and adaptive graph Topology Learning (ITL).
no code implementations • 26 Apr 2022 • Yin Yu, Ghasedi Kamran, Wu HsiangTao, Yang Jiaolong, Tong Xi, Fu Yun
Recently, a surge of face editing techniques have been proposed to employ the pretrained StyleGAN for semantic manipulation.
no code implementations • 18 Apr 2022 • Yin Yu, Xinyuan Jiang, Daning Huang, Yan Li
A Physics-Informed Dynamic Graph Neural Network (PIDGeuN) is presented to accurately, efficiently and robustly predict the nonlinear transient dynamics of microgrids in the presence of disturbances.
no code implementations • 17 Apr 2022 • Jun Guo, Yonghong Chen, Yihang Hao, Zixin Yin, Yin Yu, Simin Li
To overcome the challenge, we propose MARLSafe, the first robustness testing framework for c-MARL algorithms.