publications

Centimeter-Level Indoor Visible Light Positioning

Visible light positioning (VLP) based on the received signal strength (RSS) can leverage a dense deployment of LEDs in future lighting …
Ran Zhu, Maxim Van den Abeele, Jona Beysens, Jie Yang, and Qing Wang
IEEE
Centimeter-Level Indoor Visible Light Positioning

FedNaWi: Selecting the Befitting Clients for Robust Federated Learning in IoT Applications

Federated Learning (FL) is an important privacy-preserving learning paradigm that is expected to play an essential role in the future …
Ran Zhu, Mingkun Yang, Jie Yang, and Qing Wang
IEEE
FedNaWi: Selecting the Befitting Clients for Robust Federated Learning in IoT Applications

ContextAVO: Local Context Guided and Refining Poses for Deep Visual Odometry

Learning-based monocular visual odometry (VO) has lately drawn significant attention for its robustness to camera parameters and …
Song Rujun, Ran Zhu, Zhuoling Xiao, and Bo Yan
ELSEVIER
ContextAVO: Local Context Guided and Refining Poses for Deep Visual Odometry

Symmetrical-Net: Adaptive Zero Velocity Detection for ZUPT-Aided Pedestrian Navigation System

Inertial navigation system (INS) is a practical method for indoor pedestrian navigation without pre-installation of infrastructure. Based on the fundamentals …
Mingkun Yang, Ran Zhu, Zhuoling Xiao, Bo Yan
IEEE Xplore
Symmetrical-Net: Adaptive Zero Velocity Detection for ZUPT-Aided Pedestrian Navigation System

DeepAVO: Efficient Pose Refining with Feature Distilling for Deep Visual Odometry

Inertial navigation system (INS) is a practical method for indoor pedestrian navigation without pre-installation of infrastructure. Based on the …
Ran Zhu, Mingkun Yang, Wang Liu, Rujun Song, Zhuoling Xiao, Bo Yan
ELSEVIER
DeepAVO: Efficient Pose Refining with Feature Distilling for Deep Visual Odometry

Efficient Human Activity Recognition Solving the Confusing Activities via Deep Ensemble Learning

The ubiquity of smartphones and their rich set of on-board sensors have created many exciting new opportunities, where smartphones are used as powerful …
Ran Zhu, Zhuoling Xiao, Ying Li, Mingkun Yang, Yawen Tan, Liang Zhou, Shuisheng Lin, Hongkai Wen
Video IEEE Xplore
Efficient Human Activity Recognition Solving the Confusing Activities via Deep Ensemble Learning

Deep Ensemble Learning for Human Activity Recognition Using Smartphone

The ubiquity of smartphones and their rich set of onboard sensors have created many exciting new opportunities. One important application is activity recognition …
Ran Zhu, Zhuoling Xiao, Mo Cheng, Liang Zhou, Bo Yan, Shuisheng Lin, Hongkai Wen
Slides Video IEEE Xplore
Deep Ensemble Learning for Human Activity Recognition Using Smartphone