7 papers
Task-Oriented Multimodal Edge Intelligence via Integrated Sensing-Communication-Computation
Weiwei Chen, Yinghui He, Zhong Ye +2
Integrated sensing, communication, and computation (ISCC) has recently emerged as a unified framework for enabling edge intelligence. However, existing ISCC designs predominantly r…
Edge-Assisted Multimodal UAV Localization with Resource-Efficient Compression and Robust Fusion
Zhong Ye, Yinghui He, Guanding Yu +1
The unmanned aerial vehicles (UAVs) will play an important role in the future urban transportation systems. This requires designing robust localization schemes especially for non-c…
Toward Efficient Sensing in Multi-Device ISCC by Removing Frequency Domain Redundancy
Ziqi Ye, Yinghui He, Weiwei Chen +2
Integrated sensing, communication, and computation (ISCC) is envisioned as a key enabler for intelligent services in future wireless networks. However, in multi-device ISCC systems…
Graph Neural Network for Location- and Orientation-Assisted mmWave Beam Alignment
Yuzhu Lei, Qiqi Xiao, Yinghui He +1
In massive multi-input multi-output (MIMO) systems, the main bottlenecks of location- and orientation-assisted beam alignment using deep neural networks (DNNs) are large training o…
Meta-SimGNN: Adaptive and Robust WiFi Localization Across Dynamic Configurations and Diverse Scenarios
Qiqi Xiao, Ziqi Ye, Yinghui He +2
To promote the practicality of deep learning-based localization, existing studies aim to address the issue of scenario dependence through meta-learning. However, these studies prim…
Sparse Mean Estimation in Adversarial Settings via Incremental Learning
Jianhao Ma, Rui Ray Chen, Yinghui He +2
In this paper, we study the problem of sparse mean estimation under adversarial corruptions, where the goal is to estimate the -sparse mean of a heavy-tailed distribution from s…