5 papers
High-Resolution Underwater Camouflaged Object Detection: GBU-UCOD Dataset and Topology-Aware and Frequency-Decoupled Networks
Wenji Wu, Shuo Ye, Yiyu Liu +3
Underwater Camouflaged Object Detection (UCOD) is a challenging task due to the extreme visual similarity between targets and backgrounds across varying marine depths. Existing met…
Efficient Beamforming Optimization for STAR-RIS-Assisted Communications: A Gradient-Based Meta Learning Approach
Dongdong Yang, Bin Li, Jiguang He +3
Simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) has emerged as a promising technology to realize full-space coverage and boost spectral eff…
Performance Comparison of Aerial RIS and STAR-RIS in 3D Wireless Environments
Dongdong Yang, Bin Li, Jiguang He
Reconfigurable intelligent surface (RIS) and simultaneously transmitting and reflecting RIS (STAR-RIS) have emerged as key enablers for enhancing wireless coverage and capacity in…
Generative Model-Aided Continual Learning for CSI Feedback in FDD mMIMO-OFDM Systems
Guijun Liu, Yuwen Cao, Tomoaki Ohtsuki +2
Deep autoencoder (DAE) frameworks have demonstrated their effectiveness in reducing channel state information (CSI) feedback overhead in massive multiple-input multiple-output (mMI…
Revisiting Communication-Efficient Federated Learning with Balanced Global and Local Updates
Zhigang Yan, Dong Li, Zhichao Zhang +1
In federated learning (FL), a number of devices train their local models and upload the corresponding parameters or gradients to the base station (BS) to update the global model wh…