activity
20172026
most citedScheduling for Cellular Federated Edge Learning with Importance and Channel Awareness

4 citations · 9 across the 13 of their papers we have counts for

collaborators

13 papers

eess.SP2026

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…

eess.SP2026

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…

eess.SP2026

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…

cs.LG2025

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…

eess.SP2025

Sensing Framework Design and Performance Optimization with Action Detection for ISCC

Weiwei Chen, Yinghui He, Guanding Yu +2

Integrated sensing, communication, and computation (ISCC) has been regarded as a prospective technology for the next-generation wireless network, supporting humancentric intelligen…

eess.SP2025

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…

cs.LG2023

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…

eess.SP2023

Design and Performance Analysis of Wireless Legitimate Surveillance Systems with Radar Function

Mianyi Zhang, Yinghui He, Yunlong Cai +2

Integrated sensing and communication (ISAC) has recently been considered as a promising approach to save spectrum resources and reduce hardware cost. Meanwhile, as information secu…

cs.IT2022★ 3 cited

Integrated Sensing, Computation, and Communication: System Framework and Performance Optimization

Yinghui He, Guanding Yu, Yunlong Cai +1

Integrated sensing, computation, and communication (ISCC) has been recently considered as a promising technique for beyond 5G systems. In ISCC systems, the competition for communic…

cs.IT2022

RIS-Assisted Communication Radar Coexistence: Joint Beamforming Design and Analysis

Yinghui He, Yunlong Cai, Hao Mao +1

Integrated sensing and communication (ISAC) has been regarded as one of the most promising technologies for future wireless communications. However, the mutual interference in the…

cs.IT2020★ 4 cited

Scheduling for Cellular Federated Edge Learning with Importance and Channel Awareness

Jinke Ren, Yinghui He, Dingzhu Wen +3

In cellular federated edge learning (FEEL), multiple edge devices holding local data jointly train a neural network by communicating learning updates with an access point without e…

cs.IT2018

An Edge-Computing Based Architecture for Mobile Augmented Reality

Jinke Ren, Yinghui He, Guan Huang +3

In order to mitigate the long processing delay and high energy consumption of mobile augmented reality (AR) applications, mobile edge computing (MEC) has been recently proposed and…

cs.IT2017★ 2 cited

Latency Optimization for Resource Allocation in Mobile-Edge Computation Offloading

Jinke Ren, Guanding Yu, Yunlong Cai +1

By offloading intensive computation tasks to the edge cloud located at the cellular base stations, mobile-edge computation offloading (MECO) has been regarded as a promising means…