Search Results for author: Yunqi Wang

Found 5 papers, 0 papers with code

Grounded Knowledge-Enhanced Medical VLP for Chest X-Ray

no code implementations23 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.

Medical Visual Question Answering Question Answering +1

Community Battery Energy Storage Systems for Enhancing Distribution System Operation: A Multi-objective Optimization Approach

no code implementations5 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.

ENGNN: A General Edge-Update Empowered GNN Architecture for Radio Resource Management in Wireless Networks

no code implementations14 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.


Learning Cooperative Beamforming with Edge-Update Empowered Graph Neural Networks

no code implementations23 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.

Graph Neural Network

Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms

no code implementations2 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.

Domain Generalization

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