activity
20212023
most citedA Physics-based and Data-driven Approach for Localized Statistical Channel Modeling

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2023

Simultaneous Time Synchronization and Mutual Localization for Multi-robot System

Xiangyong Wen, Yingjian Wang, Xi Zheng +3

Mutual localization stands as a foundational component within various domains of multi-robot systems. Nevertheless, in relative pose estimation, time synchronization is usually und…

cs.CR2023

Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance System

Jiwei Guan, Lei Pan, Chen Wang +3

There are increasing concerns about malicious attacks on autonomous vehicles. In particular, inaudible voice command attacks pose a significant threat as voice commands become avai…

cs.LG2023

iDML: Incentivized Decentralized Machine Learning

Haoxiang Yu, Hsiao-Yuan Chen, Sangsu Lee +3

With the rising emergence of decentralized and opportunistic approaches to machine learning, end devices are increasingly tasked with training deep learning models on-devices using…

eess.SP20231 cited

A Physics-based and Data-driven Approach for Localized Statistical Channel Modeling

Shutao Zhang, Xinzhi Ning, Xi Zheng +3

Localized channel modeling is crucial for offline performance optimization of 5G cellular networks, but the existing channel models are for general scenarios and do not capture loc…

cs.SE2022

Scenario-Based Test Reduction and Prioritization for Multi-Module Autonomous Driving Systems

Yao Deng, Xi Zheng, Mengshi Zhang +2

When developing autonomous driving systems (ADS), developers often need to replay previously collected driving recordings to check the correctness of newly introduced changes to th…

eess.SP2021

Deep Open Set Identification for RF Devices

Qing Wang, Qing Liu, Zihao Zhang +2

Artificial intelligence (AI) based device identification improves the security of the internet of things (IoT), and accelerates the authentication process. However, existing approa…