Pedestrian dead-reckoning indoor localization based on OS-ELM M Zhang, Y Wen, J Chen, X Yang, R Gao, H Zhao
IEEE Access 6, 6116-6129, 2018
74 2018 Image fusion with cosparse analysis operator R Gao, SA Vorobyov, H Zhao
IEEE Signal Processing Letters 24 (7), 943-947, 2017
53 2017 Ssgcnet: a sparse spectra graph convolutional network for epileptic eeg signal classification J Wang, R Gao, H Zheng, H Zhu, CJR Shi
IEEE Transactions on Neural Networks and Learning Systems, 2023
25 2023 Iterated Extended Kalman Smoother-Based Variable Splitting for L1-Regularized State Estimation R Gao, F Tronarp, S Särkkä
IEEE Transactions on Signal Processing 67 (19), 5078 - 5092, 2019
22 2019 Energy efficient moving target tracking in wireless sensor networks Y Wen, R Gao, H Zhao
Sensors 16 (1), 29, 2016
22 2016 Switched-observer-based adaptive neural networks tracking control for switched nonlinear time-delay systems with actuator saturation Z Li, G Cao, W Xie, R Gao, W Zhang
Information Sciences 621, 36-57, 2023
17 2023 Multi-focus image fusion via coupled dictionary training R Gao, SA Vorobyov, H Zhao
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
14 2016 Finite-Time H∞ Filtering for Markov Jump Systems Under Deception Attacks and Delays X Zhang, W Xie, R Gao, W Zhang
IEEE Transactions on Systems, Man, and Cybernetics: Systems 54 (3), 1828-1839, 2023
11 2023 Autonomous tracking and state estimation with generalized group lasso R Gao, S Särkkä, R Claveria-Vega, S Godsill
IEEE Transactions on Cybernetics 52 (11), 12056-12070, 2021
10 2021 EEG signal epilepsy detection with a weighted neighbor graph representation and two-stream graph-based framework J Wang, S Liang, J Zhang, Y Wu, L Zhang, R Gao, D He, CJR Shi
IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 3176-3187, 2023
9 2023 Combined analysis-L1 and total variation ADMM with applications to MEG brain imaging and signal reconstruction R Gao, F Tronarp, S Särkkä
2018 26th European Signal Processing Conference (EUSIPCO), 1930-1934, 2018
8 2018 DEMRL: Dynamic estimation meta reinforcement learning for path following on unseen unmanned surface vehicle K Jin, H Zhu, R Gao, J Wang, H Wang, H Yi, CJR Shi
Ocean Engineering 288, 115958, 2023
6 2023 Variable splitting methods for constrained state estimation in partially observed Markov processes R Gao, F Tronarp, S Särkkä
IEEE Signal Processing Letters 27, 1305-1309, 2020
6 2020 Regularized state estimation and parameter learning via augmented Lagrangian Kalman smoother method R Gao, F Tronarp, Z Zhao, S Särkä
2019 IEEE 29th International Workshop on Machine Learning for Signal …, 2019
4 2019 Vs-ddp: Variable splitting based differential dynamic programming algorithm for autonomous trajectory planning J Su, R Gao, Z Xu, W Zhang
2023 42nd Chinese Control Conference (CCC), 4382-4387, 2023
2 2023 Multi-focus image fusion via coupled sparse representation and dictionary learning R Gao, SA Vorobyov
arXiv preprint arXiv:1705.10574, 2017
2 2017 Timed-Elastic-Band Based Variable Splitting for Autonomous Trajectory Planning H Zhu, K Jin, R Gao, J Wang, CJR Shi
arXiv preprint arXiv:2402.02735, 2024
1 2024 Recursive smoother type variable splitting methods for state estimation R Gao
Aalto University, 2020
1 2020 Augmented Sigma-Point Lagrangian Splitting Method for Sparse Nonlinear State Estimation R Gao, S Särkkä
2020 28th European Signal Processing Conference (EUSIPCO), 2090--2094, 2020
1 2020 Hierarchical Non-Stationary Temporal Gaussian Processes With Z Zhao, R Gao, S Särkkä
arXiv preprint arXiv:2105.09695, 2021
2021 
Simo SärkkäProfessor, Aalto UniversityEmail yang diverifikasi di aalto.fi
