Jun Liu

DeceFL: a principled fully decentralized federated learning framework

Ye Yuan, Jun Liu, Dou Jin et al. · National Science Open · 2022 · 24 citations · Full text

Engineering, Machine Learning, Distributed Algorithms +19

Adaptive Gaussian sum squared-root cubature Kalman filter with split-merge scheme for state estimation

Yu Liu, Kai Dong, Haipeng Wang et al. · Chinese Journal of Aeronautics · 2014 · 22 citations · Full text

State Estimation, Split-merge Scheme, Nonlinear System Identification +13

Anti‐bias track‐to‐track association algorithm based on distance detection

Lin Qi, Kai Dong, Yu Liu et al. · IET Radar Sonar & Navigation · 2016 · 22 citations

Location Tracking, Engineering, Sensor Biases +16

Adaptive Interacting Multiple Model Algorithm Based on Information-Weighted Consensus for Maneuvering Target Tracking

Ziran Ding, Yu Liu, Jun Liu et al. · Sensors · 2018 · 18 citations · Full text

State Estimation, Multiple Sensors, Engineering +14

Optimal distributed Kalman filtering fusion for multirate multisensor dynamic systems with correlated noise and unreliable measurements

Liping Yan, Jiang Lu, Jun Liu et al. · IET Signal Processing · 2018 · 15 citations

State Estimation, Finest Scale, Decision Fusion +12