no code implementations • 6 Apr 2024 • Pengyuan Lu, Lin Zhang, Mengyu Liu, Kaustubh Sridhar, Fanxin Kong, Oleg Sokolsky, Insup Lee
Cyber-physical systems (CPS) have experienced rapid growth in recent decades.
no code implementations • 17 Mar 2024 • Boshi Wang, Cunhua Pan, Hong Ren, Zhiyuan Yu, Yang Zhang, Mengyu Liu, Gui Zhou
Due to the signal amplification capability of active RISs, the mutual influence between active RISs, which is termed as the "inter-excitation" effect, cannot be ignored.
no code implementations • 7 Feb 2024 • Mengyu Liu, Hong Ren, Cunhua Pan, Boshi Wang, Zhiyuan Yu, Ruisong Weng, Kangda Zhi, Yongchao He
However, when radar and communication equipment coexist in the same system, i. e. radar-communication coexistence (RCC), the interference from communication systems to radar can be large and cannot be ignored.
no code implementations • 25 Apr 2023 • Mengyu Liu, Pengyuan Lu, Xin Chen, Fanxin Kong, Oleg Sokolsky, Insup Lee
We propose a model-free reinforcement learning solution, namely the ASAP-Phi framework, to encourage an agent to fulfill a formal specification ASAP.
no code implementations • 4 Sep 2021 • Mengyu Liu, Hujun Yin
The spatial attention mechanism captures long-range dependencies by aggregating global contextual information to each query location, which is beneficial for semantic segmentation.
2 code implementations • 18 Sep 2019 • Mengyu Liu, Hujun Yin
Although current deep learning methods have achieved impressive results for semantic segmentation, they incur high computational costs and have a huge number of parameters.
1 code implementation • 25 Jul 2019 • Mengyu Liu, Hujun Yin
Specifically, a shallow branch is used to preserve low-level spatial information and a deep branch is employed to extract high-level contextual features.