Classification of multichannel surface-electromyography signals based on convolutional neural networks. - Na Duan; Lizheng Liu; Xianjia Yu; Qingqing Li 001; Shih-Ching Yeh (J. Ind. Inf. Integr., 2019)

Federated Learning in Robotic and Autonomous Systems. - Xianjia Yu; Jorge Peña Queralta; Jukka Heikkonen; Tomi Westerlund (FNC/MobiSPC, 2021)

Adaptive Lidar Scan Frame Integration: Tracking Known MAVs in 3D Point Clouds. - Qingqing Li 001; Xianjia Yu; Jorge Peña Queralta; Tomi Westerlund (ICAR, 2021)

Applications of UWB Networks and Positioning to Autonomous Robots and Industrial Systems. - Xianjia Yu; Qingqing Li 001; Jorge Peña Queralta; Jukka Heikkonen; Tomi Westerlund (MECO, 2021)

Cooperative UWB-Based Localization for Outdoors Positioning and Navigation of UAVs aided by Ground Robots. - Xianjia Yu; Qingqing Li 001; Jorge Peña Queralta; Jukka Heikkonen; Tomi Westerlund (CoRR, 2021)

Towards Large-Scale Scalable MAV Swarms with ROS2 and UWB-based Situated Communication. - Jorge Peña Queralta; Xianjia Yu; Qingqing Li 001; Tomi Westerlund (CoRR, 2021)

An Overview of Federated Learning at the Edge and Distributed Ledger Technologies for Robotic and Autonomous Systems. - Xianjia Yu; Jorge Peña Queralta; Jukka Heikkonen; Tomi Westerlund (CoRR, 2021)

Towards Lifelong Federated Learning in Autonomous Mobile Robots with Continuous Sim-to-Real Transfer. - Xianjia Yu; Jorge Peña Queralta; Tomi Westerlund (EUSPN/ICTH, 2022)

Federated Learning for Vision-based Obstacle Avoidance in the Internet of Robotic Things. - Xianjia Yu; Jorge Peña Queralta; Tomi Westerlund (FMEC, 2022)

Distributed Robotic Systems in the Edge-Cloud Continuum with ROS 2: a Review on Novel Architectures and Technology Readiness. - Jiaqiang Zhang; Farhad Keramat; Xianjia Yu; Daniel Montero Hernández; Jorge Peña Queralta; Tomi Westerlund (FMEC, 2022)

Multi-Modal Lidar Dataset for Benchmarking General-Purpose Localization and Mapping Algorithms. - Qingqing Li 001; Xianjia Yu; Jorge Peña Queralta; Tomi Westerlund (IROS, 2022)

Analyzing General-Purpose Deep-Learning Detection and Segmentation Models with Images from a Lidar as a Camera Sensor. - Xianjia Yu; Sahar Salimpour; Jorge Peña Queralta; Tomi Westerlund (CoRR, 2022)

UAV Tracking with Solid-State Lidars: Dynamic Multi-Frequency Scan Integration. - Iacopo Catalano; Sier Ha; Xianjia Yu; Tomi Westerlund; Jorge Peña Queralta (ICAR, 2023)

UAV Tracking with Lidar as a Camera Sensor in GNSS-Denied Environments. - Sier Ha; Xianjia Yu; Iacopo Catalano; Jorge Peña Queralta; Zhuo Zou; Tomi Westerlund (ICL-GNSS, 2023)

Towards Robust UAV Tracking in GNSS-Denied Environments: A Multi-LiDAR Multi-UAV Dataset. - Iacopo Catalano; Xianjia Yu; Jorge Peña Queralta (ROBIO, 2023)

Benchmarking UWB-Based Infrastructure-Free Positioning and Multi-Robot Relative Localization: Dataset and Characterization. - Paola Torrico Morón; Sahar Salimpour; Lei Fu; Xianjia Yu; Jorge Peña Queralta; Tomi Westerlund (SAS, 2023)

Robust Multi-Modal Multi-LiDAR-Inertial Odometry and Mapping for Indoor Environments. - Qingqing Li 001; Xianjia Yu; Jorge Peña Queralta; Tomi Westerlund (CoRR, 2023)

Loosely Coupled Odometry, UWB Ranging, and Cooperative Spatial Detection for Relative Monte-Carlo Multi-Robot Localization. - Xianjia Yu; Paola Torrico Morrón; Sahar Salimpour; Jorge Peña Queralta; Tomi Westerlund (CoRR, 2023)

Comparison of DDS, MQTT, and Zenoh in Edge-to-Edge and Edge-to-Cloud Communication for Distributed ROS 2 Systems. - Jiaqiang Zhang; Xianjia Yu; Sier Ha; Jorge Peña Queralta; Tomi Westerlund (CoRR, 2023)

Exploiting redundancy for UWB anomaly detection in infrastructure-free multi-robot relative localization. - Sahar Salimpour; Paola Torrico Morón; Xianjia Yu; Tomi Westerlund; Jorge Peña Queralta (Frontiers Robotics AI, 2023)

General-Purpose Deep Learning Detection and Segmentation Models for Images from a Lidar-Based Camera Sensor. - Xianjia Yu; Sahar Salimpour; Jorge Peña Queralta; Tomi Westerlund (Sensors, 2023)

A Benchmark for Multi-Modal LiDAR SLAM with Ground Truth in GNSS-Denied Environments. - Sier Ha; Qingqing Li 001; Xianjia Yu; Jorge Peña Queralta; Zhuo Zou; Tomi Westerlund (Remote. Sens., 2023)

LiDAR-Generated Images Derived Keypoints Assisted Point Cloud Registration Scheme in Odometry Estimation. - Haizhou Zhang; Xianjia Yu; Sier Ha; Tomi Westerlund (Remote. Sens., 2023)

Enhancing the Reliability of LiDAR Point Cloud Sampling: A Colorization and Super-Resolution Approach Based on LiDAR-Generated Images. - Sier Ha; Honghao Du; Xianjia Yu; Jian Song; Tomi Westerlund (CoRR, 2024)

Dual-Criterion Model Aggregation in Federated Learning: Balancing Data Quantity and Quality. - Haizhou Zhang; Xianjia Yu; Tomi Westerlund (CoRR, 2024)

Comparison of Middlewares in Edge-to-Edge and Edge-to-Cloud Communication for Distributed ROS 2 Systems. - Jiaqiang Zhang; Xianjia Yu; Sier Ha; Jorge Peña Queralta; Tomi Westerlund (J. Intell. Robotic Syst., 2024)

Event-based Sensor Fusion and Application on Odometry: A Survey. - Jiaqiang Zhang; Xianjia Yu; Ha Sier; Haizhou Zhang; Tomi Westerlund (IPAS, 2025)

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery. - Sier Ha; Honghao Du; Xianjia Yu; Tomi Westerlund (CoRR, 2025)

Blockchain-Enabled Privacy-Preserving Second-Order Federated Edge Learning in Personalized Healthcare. - Anum Nawaz; Muhammad Irfan 008; Xianjia Yu; Zhuo Zou; Tomi Westerlund (CoRR, 2025)

Blockchain Powered Edge Intelligence for U-Healthcare in Privacy Critical and Time Sensitive Environment. - Anum Nawaz; Hafiz Humza Mahmood Ramzan; Xianjia Yu; Zhuo Zou; Tomi Westerlund (CoRR, 2025)

Lidar Variability: A Novel Dataset and Comparative Study of Solid-State and Spinning Lidars. - Doumegna Mawuto Koudjo Felix; Xianjia Yu; Jiaqiang Zhang; Sier Ha; Zhuo Zou; Tomi Westerlund (CoRR, 2025)