| 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 | 71 | 2018 |
| Image fusion with cosparse analysis operator R Gao, SA Vorobyov, H Zhao IEEE Signal Processing Letters 24 (7), 943-947, 2017 | 53 | 2017 |
| Energy efficient moving target tracking in wireless sensor networks Y Wen, R Gao, H Zhao Sensors 16 (1), 29, 2016 | 23 | 2016 |
| 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 | 21 | 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 | 21 | 2019 |
| 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 | 14 | 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 | 13 | 2016 |
| 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 | 9 | 2021 |
| 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 CYBERNETICS-SYSTEMS 54 (3), 1828-1839, 2024 | 8 | 2024 |
| 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 |
| EEG Signal Epilepsy Detection with a Weighted Neighbour 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, 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 |
| 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 | 3 | 2023 |
| Multi-focus image fusion via coupled sparse representation and dictionary learning R Gao, SA Vorobyov arXiv preprint arXiv:1705.10574, 2017 | 2 | 2017 |
| 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 | 1 | 2023 |
| 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 |
| 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 | | 2024 |
| Finite-Time 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, 2023 | | 2023 |
Simo SärkkäProfessor, Aalto UniversityVerified email at aalto.fi
