1 citations · 3 across the 7 of their papers we have counts for
7 papers
Distillation-Enabled Knowledge Alignment Protocol for Semantic Communication in AI Agent Networks
Jingzhi Hu, Geoffrey Ye Li
Future networks are envisioned to connect massive artificial intelligence (AI) agents, enabling their extensive collaboration on diverse tasks. Compared to traditional entities, th…
Task-Oriented Semantic Communication for Stereo-Vision 3D Object Detection
Zijian Cao, Hua Zhang, Le Liang +3
With the development of computer vision, 3D object detection has become increasingly important in many real-world applications. Limited by the computing power of sensor-side hardwa…
Deep Reinforcement Learning-Based Resource Allocation for Hybrid Bit and Generative Semantic Communications in Space-Air-Ground Integrated Networks
Chong Huang, Xuyang Chen, Gaojie Chen +3
In this paper, we introduce a novel framework consisting of hybrid bit-level and generative semantic communications for efficient downlink image transmission within space-air-groun…
Distributionally Robust Adaptive Beamforming
Shixiong Wang, Wei Dai, Geoffrey Ye Li
As a fundamental technique in array signal processing, beamforming plays a crucial role in amplifying signals of interest (SoI) while mitigating interference plus noise (IPN). When…
Deep Learning based Performance Testing for Analog Integrated Circuits
Jiawei Cao, Chongtao Guo, Hao Li +3
In this paper, we propose a deep learning based performance testing framework to minimize the number of required test modules while guaranteeing the accuracy requirement, where a t…
A Universal Deep Neural Network for Signal Detection in Wireless Communication Systems
Khalid Albagami, Nguyen Van Huynh, Geoffrey Ye Li
Recently, deep learning (DL) has been emerging as a promising approach for channel estimation and signal detection in wireless communications. The majority of the existing studies…
Distributed Two-tier DRL Framework for Cell-Free Network: Association, Beamforming and Power Allocation
Kaiwen Yu, Chonghao Zhao, Gang Wu +1
Intelligent wireless networks have long been expected to have self-configuration and self-optimization capabilities to adapt to various environments and demands. In this paper, we…