Výsledky vyhledávání - "LI, Jianqing"

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Feedback Design with VQ-VAE for Robust Precoding in Multi-User FDD Systems

Autor: Turan, Nurettin, Baur, Michael, Li, Jianqing, Utschick, Wolfgang

In this letter, we propose a vector quantized-variational autoencoder (VQ-VAE)-based feedback scheme for robust precoder design in multi-user frequency division duplex (FDD) systems. We demonstrate how the VQ-VAE can be tailored to specific propagati

Externí odkaz: http://arxiv.org/abs/2408.04505

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Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition

Autor: Gao, Hongxiang, Wang, Xiangyao, Chen, Zhenghua, Wu, Min, Cai, Zhipeng, Zhao, Lulu, Li, Jianqing, Liu, Chengyu

Automatic emotion recognition based on multichannel Electroencephalography (EEG) holds great potential in advancing human-computer interaction. However, several significant challenges persist in existing research on algorithmic emotion recognition. T

Externí odkaz: http://arxiv.org/abs/2310.14165

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Chiral photonic topological states in Penrose quasicrystals

Autor: Zhang, Yingfang, Lan, Zhihao, Hu, Liyazhou, Shu, Yiqing, Yuan, Xun, Guo, Penglai, Peng, Xiaoling, Chen, Weicheng, Li, Jianqing

Publikováno v: Opt. Lett. 48, 2229-2232 (2023)

Electromagnetic topological edge states typically are created in photonic systems with crystalline symmetry and these states emerge because of the topological feature of bulk Bloch bands in momentum space according to the bulk-edge correspondence pri

Externí odkaz: http://arxiv.org/abs/2304.12802

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ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning

Autor: Gao, Hongxiang, Wang, Xingyao, Chen, Zhenghua, Wu, Min, Li, Jianqing, Liu, Chengyu

Electrocardiogram (ECG) monitoring is one of the most powerful technique of cardiovascular disease (CVD) early identification, and the introduction of intelligent wearable ECG devices has enabled daily monitoring. However, due to the need for profess

Externí odkaz: http://arxiv.org/abs/2304.04646

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A Causal Intervention Scheme for Semantic Segmentation of Quasi-periodic Cardiovascular Signals

Autor: Wang, Xingyao, Li, Yuwen, Gao, Hongxiang, Cheng, Xianghong, Li, Jianqing, Liu, Chengyu

Precise segmentation is a vital first step to analyze semantic information of cardiac cycle and capture anomaly with cardiovascular signals. However, in the field of deep semantic segmentation, inference is often unilaterally confounded by the indivi

Externí odkaz: http://arxiv.org/abs/2209.09018

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