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20192026
most citedClassification of Hand Movements from EEG using a Deep Attention-based LSTM Network

205 citations · 464 across the 19 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

eess.SP2023★ 1 cited

Alleviating Distortion Accumulation in Multi-Hop Semantic Communication

Guangyi Zhang, Qiyu Hu, Yunlong Cai +1

Recently, semantic communication has been investigated to boost the performance of end-to-end image transmission systems. However, existing semantic approaches are generally based…

eess.SP2023

SCAN: Semantic Communication with Adaptive Channel Feedback

Guangyi Zhang, Qiyu Hu, Yunlong Cai +1

In existing semantic communication systems for image transmission, some images are generally reconstructed with considerably low quality. As a result, the reliable transmission of…

eess.SP2023★ 2 cited

Deep-Unfolding for Next-Generation Transceivers

Qiyu Hu, Yunlong Cai, Guangyi Zhang +2

The stringent performance requirements of future wireless networks, such as ultra-high data rates, extremely high reliability and low latency, are spurring worldwide studies on def…

eess.SP2023

FAST: Feature Arrangement for Semantic Transmission

Kequan Zhou, Guangyi Zhang, Yunlong Cai +2

Although existing semantic communication systems have achieved great success, they have not considered that the channel is time-varying wherein deep fading occurs occasionally. Mor…

eess.SP2023★ 1 cited

Adaptive CSI Feedback for Deep Learning-Enabled Image Transmission

Guangyi Zhang, Qiyu Hu, Yunlong Cai +1

Recently, deep learning-enabled joint-source channel coding (JSCC) has received increasing attention due to its great success in image transmission. However, most existing JSCC stu…

cs.CV2023★ 1 cited

Partial Label Learning for Emotion Recognition from EEG

Guangyi Zhang, Ali Etemad

Fully supervised learning has recently achieved promising performance in various electroencephalography (EEG) learning tasks by training on large datasets with ground truth labels.…