240 citations · 475 across the 17 of their papers we have counts for
17 papers
Ten Years of Deep Learning for Wireless Communications: From Learned Blocks to Deployable Wireless Intelligence
Hao Ye, Geoffrey Ye Li, Biing-Hwang Juang
Over the past decade, deep learning has evolved from a tool for replacing isolated wireless blocks into a broader methodology for developing wireless intelligence. This article tra…
WiSER: A Wireless Scene Encoder for Geometry-Grounded Multi-View Wireless Prediction
Jing Qiao, Yiyang Guo, Hao Ye
Indoor wireless propagation is governed by the interaction among three-dimensional (3D) scene geometry, radiomaterial properties, and transmitter and receiver configuration, which…
Semantic Communication for Cooperative Perception based on Importance Map
Yucheng Sheng, Hao Ye, Le Liang +2
Cooperative perception, which has a broader perception field than single-vehicle perception, has played an increasingly important role in autonomous driving to conduct 3D object de…
Decentralized Federated Learning with Unreliable Communications
Hao Ye, Le Liang, Geoffrey Li
Decentralized federated learning, inherited from decentralized learning, enables the edge devices to collaborate on model training in a peer-to-peer manner without the assistance o…
Federated Learning and Wireless Communications
Zhijin Qin, Geoffrey Ye Li, Hao Ye
Federated learning becomes increasingly attractive in the areas of wireless communications and machine learning due to its powerful functions and potential applications. In contras…
Learn to Compress CSI and Allocate Resources in Vehicular Networks
Liang Wang, Hao Ye, Le Liang +1
Resource allocation has a direct and profound impact on the performance of vehicle-to-everything (V2X) networks. In this paper, we develop a hybrid architecture consisting of centr…