112 citations · 440 across the 16 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
eess.SP2019★ 64 cited
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography
Dashan Gao, Ce Ju, Xiguang Wei +3
Electroencephalography (EEG) classification techniques have been widely studied for human behavior and emotion recognition tasks. But it is still a challenging issue since the data…
cs.LG2019
Stochastic Inverse Reinforcement Learning
Ce Ju
The goal of the inverse reinforcement learning (IRL) problem is to recover the reward functions from expert demonstrations. However, the IRL problem like any ill-posed inverse prob…
cs.RO2019★ 54 cited
Interaction-aware Kalman Neural Networks for Trajectory Prediction
Ce Ju, Zheng Wang, Cheng Long +2
Forecasting the motion of surrounding obstacles (vehicles, bicycles, pedestrians and etc.) benefits the on-road motion planning for intelligent and autonomous vehicles. Complex sce…