3 citations · 5 across the 10 of their papers we have counts for
10 papers
Exploring the Generalizability of Geomagnetic Navigation: A Deep Reinforcement Learning approach with Policy Distillation
Wenqi Bai, Shiliang Zhang, Xiaohui Zhang +4
The advancement in autonomous vehicles has empowered navigation and exploration in unknown environments. Geomagnetic navigation for autonomous vehicles has drawn increasing attenti…
Hardware-in-the-loop Simulation Testbed for Geomagnetic Navigation
Songnan Yang, Shiliang Zhang, Qianyun Zhang +2
Geomagnetic navigation leverages the ubiquitous Earth's magnetic signals to navigate missions, without dependence on GPS services or pre-stored geographic maps. It has drawn increa…
Long-distance Geomagnetic Navigation in GNSS-denied Environments with Deep Reinforcement Learning
Wenqi Bai, Xiaohui Zhang, Shiliang Zhang +3
Geomagnetic navigation has drawn increasing attention with its capacity in navigating through complex environments and its independence from external navigation services like globa…
Ensemble Control for Stochastic Systems with Asymmetric Laplace Noises
Yajie Yu, Xuehui Ma, Shiliang Zhang +4
This paper presents an adaptive ensemble control for stochastic systems subject to asymmetric noises and outliers. Asymmetric noises skew system observations, and outliers with lar…
A Bionic Data-driven Approach for Long-distance Underwater Navigation with Anomaly Resistance
Songnan Yang, Xiaohui Zhang, Shiliang Zhang +4
Various animals exhibit accurate navigation using environment cues. The Earth's magnetic field has been proved a reliable information source in long-distance fauna migration. Inspi…
Privacy-preserving transactive energy systems: Key topics and open research challenges
Daniel Gerbi Duguma, Juliana Zhang, Meysam Aboutalebi +20
This manuscript aims to formalize and conclude the discussions initiated during the PriTEM workshop 22-23 March 2023. We present important ideas and discussion topics in the contex…
Adaptive robust tracking control with active learning for linear systems with ellipsoidal bounded uncertainties
Xuehui Ma, Shiliang Zhang, Yushuai Li +2
This paper is concerned with the robust tracking control of linear uncertain systems, whose unknown system parameters and disturbances are bounded within ellipsoidal sets. We propo…
Extended vehicle energy dataset (eVED): an enhanced large-scale dataset for deep learning on vehicle trip energy consumption
Shiliang Zhang, Dyako Fatih, Fahmi Abdulqadir +2
This work presents an extended version of the Vehicle Energy Dataset (VED), which is a openly released large-scale dataset for vehicle energy consumption analysis. Compared with it…
Contextualize differential privacy in image database: a lightweight image differential privacy approach based on principle component analysis inverse
Shiliang Zhang, Xuehui Ma, Hui Cao +3
Differential privacy (DP) has been the de-facto standard to preserve privacy-sensitive information in database. Nevertheless, there lacks a clear and convincing contextualization o…
An Energy Consumption Model for Electrical Vehicle Networks via Extended Federated-learning
Shiliang Zhang
Electrical vehicle (EV) raises to promote an eco-sustainable society. Nevertheless, the "range anxiety" of EV hinders its wider acceptance among customers. This paper proposes a no…