| Intelligent laser welding through representation, prediction, and control learning: An architecture with deep neural networks and reinforcement learning J Günther, PM Pilarski, G Helfrich, H Shen, K Diepold Mechatronics 34, 1-11, 2016 | 220 | 2016 |
| Joint matrices decompositions and blind source separation: A survey of methods, identification, and applications G Chabriel, M Kleinsteuber, E Moreau, H Shen, P Tichavsky, A Yeredor IEEE Signal Processing Magazine 31 (3), 34-43, 2014 | 165 | 2014 |
| First steps towards an intelligent laser welding architecture using deep neural networks and reinforcement learning J Günther, PM Pilarski, G Helfrich, H Shen, K Diepold 2nd International Conference on System-Integrated Intelligence: Challenges …, 2014 | 136 | 2014 |
| Fast kernel-based independent component analysis H Shen, S Jegelka, A Gretton IEEE transactions on signal processing 57 (9), 3498-3511, 2009 | 96 | 2009 |
| Towards a mathematical understanding of the difficulty in learning with feedforward neural networks H Shen Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 48 | 2018 |
| Blind source separation with compressively sensed linear mixtures M Kleinsteuber, H Shen IEEE signal processing letters 19 (2), 107-110, 2011 | 48 | 2011 |
| Local convergence analysis of FastICA and related algorithms H Shen, M Kleinsteuber, K Hüper Neural Networks, IEEE Transactions on 19 (6), 1022-1032, 2008 | 48 | 2008 |
| Reconstructible nonlinear dimensionality reduction via joint dictionary learning X Wei, H Shen, Y Li, X Tang, F Wang, M Kleinsteuber, YL Murphey IEEE transactions on neural networks and learning systems 30 (1), 175-189, 2018 | 46 | 2018 |
| Adaptive fusion CNN features for RGBT object tracking Y Wang, X Wei, X Tang, H Shen, H Zhang IEEE Transactions on Intelligent Transportation Systems 23 (7), 7831-7840, 2021 | 40 | 2021 |
| Robust fusion for RGB-D tracking using CNN features Y Wang, X Wei, H Shen, L Ding, J Wan Applied Soft Computing 92, 106302, 2020 | 36 | 2020 |
| Knowledge augmented machine learning with applications in autonomous driving: A survey J Wörmann, D Bogdoll, C Brunner, E Bührle, H Chen, EF Chuo, ... arXiv preprint arXiv:2205.04712, 2022 | 34 | 2022 |
| HRTF customization using multiway array analysis M Rothbucher, M Durkovic, H Shen, K Diepold 18th European Signal Processing Conference, EUSIPCO 2010, 229-233, 2010 | 34 | 2010 |
| Channel assignment for hybrid NOMA systems with deep reinforcement learning J Zheng, X Tang, X Wei, H Shen, L Zhao IEEE Wireless Communications Letters 10 (7), 1370-1374, 2021 | 33 | 2021 |
| Formation control using GQ (λ) reinforcement learning M Knopp, C Aykın, J Feldmaier, H Shen 2017 26th IEEE International Symposium on Robot and Human Interactive …, 2017 | 31 | 2017 |
| Optimal water heater control in smart home environments C Passenberg, D Meyer, J Feldmaier, H Shen 2016 IEEE International Energy Conference (ENERGYCON), 1-6, 2016 | 28 | 2016 |
| Video is a cube C Keimel, M Rothbucher, H Shen, K Diepold IEEE Signal Processing Magazine 28 (6), 41-49, 2011 | 24 | 2011 |
| Fast kernel ICA using an approximate newton method H Shen, S Jegelka, A Gretton International Conference on Artificial Intelligence and Statistics, 476-483, 2007 | 24 | 2007 |
| CNN tracking based on data augmentation Y Wang, X Wei, X Tang, H Shen, L Ding Knowledge-Based Systems 194, 105594, 2020 | 23 | 2020 |
| Joint learning sparsifying linear transformation for low-resolution image synthesis and recognition X Wei, Y Li, H Shen, W Xiang, YL Murphey Pattern Recognition 66, 412-424, 2017 | 23 | 2017 |
| Trace quotient with sparsity priors for learning low dimensional image representations X Wei, H Shen, M Kleinsteuber IEEE transactions on pattern analysis and machine intelligence 42 (12), 3119 …, 2019 | 22 | 2019 |
Martin KleinsteuberCIO & Lead Data Scientist, Unite Network SE, MunichVerified email at tum.de
