- document
-
Gao, Hanyan (author), Zhang, Jing (author), Zhu, Yingcan (author), Guo, Ruiqian (author), Zhang, Wanlu (author), Zhang, Kouchi (author), Liu, Pan (author)With the trend of miniaturization and the increasing power density, the operating temperature of electronic devices keeps climbing, especially for wide band-gap semiconductors such as silicon carbide and gallium nitride. The high operating temperature up to 250℃ brings challenges to encapsulation materials since traditional encapsulation...conference paper 2022
- document
-
Zhang, Rongkai (author), Zhu, Jiang (author), Zha, Zhiyuan (author), Dauwels, J.H.G. (author), Wen, Bihan (author)State-of-the-art image denoisers exploit various types of deep neural networks via deterministic training. Alternatively, very recent works utilize deep reinforcement learning for restoring images with diverse or unknown corruptions. Though deep reinforcement learning can generate effective policy networks for operator selection or architecture...conference paper 2021
- document
-
Zhang, Qingrui (author), Zhang, Xinyu (author), Zhu, Bo (author), Reppa, V. (author)A novel fault tolerant control algorithm is proposed in this paper based on model reference reinforcement learning for autonomous surface vehicles subject to sensor faults and model uncertainties. The proposed control scheme is a combination of a model-based control approach and a data-driven method, so it can leverage the advantages of both...conference paper 2021
- document
-
Xiong, Q. (author), Zhu, Q. (author), Zlatanova, S. (author), Du, Z. (author), Zhang, Y. (author), Zeng, L. (author)Indoor navigation is increasingly widespread in complex indoor environments, and indoor path planning is the most important part of indoor navigation. Path planning generally refers to finding the most suitable path connecting two locations, while avoiding collision with obstacles. However, it is a fundamental problem, especially for 3D complex...conference paper 2015