7 papers
Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis
Yajiao Dai, Jun Li, Zhen Mei +5
Intelligent fault diagnosis (IFD) plays a crucial role in ensuring the safe operation of industrial machinery and improving production efficiency. However, traditional supervised d…
AFDM-Enabled Integrated Sensing and Communication: Theoretical Framework and Pilot Design
Fan Zhang, Zhaocheng Wang, Tianqi Mao +6
The integrated sensing and communication (ISAC) has been envisioned as one representative usage scenario of sixth-generation (6G) network. However, the unprecedented characteristic…
Conceal Truth while Show Fake: T/F Frequency Multiplexing based Anti-Intercepting Transmission
Zhisheng Yin, Nan Cheng, Mingjie Wang +2
In wireless communication adversarial scenarios, signals are easily intercepted by non-cooperative parties, exposing the transmission of confidential information. This paper propos…
Uncertainty Guided Refinement for Fine-Grained Salient Object Detection
Yao Yuan, Pan Gao, Qun Dai +2
Recently, salient object detection (SOD) methods have achieved impressive performance. However, salient regions predicted by existing methods usually contain unsaturated regions an…
SP-SLAM: Neural Real-Time Dense SLAM With Scene Priors
Zhen Hong, Bowen Wang, Haoran Duan +6
Neural implicit representations have recently shown promising progress in dense Simultaneous Localization And Mapping (SLAM). However, existing works have shortcomings in terms of…
Hybrid Network- and User-Centric Scalable Cell-Free Massive MIMO for Fronthaul Signaling Minimization
Phu Lai, Wei Xiang, William Damario Lukito +4
Cell-free massive multiple-input multiple-output (CFmMIMO) coordinates a great number of distributed access points (APs) with central processing units (CPUs), effectively reducing…