no code implementations • 23 Apr 2024 • Qiao Deng, Zhongzhen Huang, Yunqi Wang, Zhichuan Wang, Zhao Wang, Xiaofan Zhang, Qi Dou, Yeung Yu Hui, Edward S. Hui
Medical vision-language pre-training has emerged as a promising approach for learning domain-general representations of medical image and text.
no code implementations • 5 Sep 2023 • Yunqi Wang, Hao Wang, Markus Wagner, Ariel Liebman
The results show significant improvements in voltage regulation and DER utilization, demonstrating the potential of C-BESS in enabling more reliable DN operation.
no code implementations • 14 Dec 2022 • Yunqi Wang, Yang Li, Qingjiang Shi, Yik-Chung Wu
In order to achieve high data rate and ubiquitous connectivity in future wireless networks, a key task is to efficiently manage the radio resource by judicious beamforming and power allocation.
no code implementations • 23 Nov 2022 • Yunqi Wang, Yang Li, Qingjiang Shi, Yik-Chung Wu
However, the current GNNs are only equipped with the node-update mechanism, which restricts it from modeling more complicated problems such as the cooperative beamforming design, where the beamformers are on the graph edges of wireless networks.
no code implementations • 2 Jun 2021 • Yunqi Wang, Furui Liu, Zhitang Chen, Qing Lian, Shoubo Hu, Jianye Hao, Yik-Chung Wu
Domain generalization aims to learn knowledge invariant across different distributions while semantically meaningful for downstream tasks from multiple source domains, to improve the model's generalization ability on unseen target domains.