| Automatic modulation recognition of compound signals using a deep multi-label classifier: A case study with radar jamming signals M Zhu, Y Li, Z Pan, J Yang Signal Processing 169, 107393, 2020 | 76 | 2020 |
| Work modes recognition and boundary identification of MFR pulse sequences with a hierarchical seq2seq LSTM Y Li, M Zhu, Y Ma, J Yang IET radar, sonar & navigation 14 (9), 1343-1353, 2020 | 75 | 2020 |
| Identification of significant factors in fatal-injury highway crashes using genetic algorithm and neural network Y Li, D Ma, M Zhu, Z Zeng, Y Wang Accident Analysis & Prevention 111, 354-363, 2018 | 73 | 2018 |
| Automatic waveform recognition of overlapping LPI radar signals based on multi-instance multi-label learning Z Pan, S Wang, M Zhu, Y Li IEEE Signal Processing Letters 27, 1275-1279, 2020 | 55 | 2020 |
| Model-based time series clustering and interpulse modulation parameter estimation of multifunction radar pulse sequences M Zhu, Y Li, S Wang IEEE Transactions on Aerospace and Electronic Systems 57 (6), 3673-3690, 2021 | 40 | 2021 |
| Design and experiment verification of a novel analysis framework for recognition of driver injury patterns: From a multi-class classification perspective M Zhu, Y Li, Y Wang Accident Analysis & Prevention 120, 152-164, 2018 | 39 | 2018 |
| Model-based representation and deinterleaving of mixed radar pulse sequences with neural machine translation network M Zhu, S Wang, Y Li IEEE Transactions on Aerospace and Electronic Systems 58 (3), 1733-1752, 2021 | 32 | 2021 |
| JMRPE‐Net: Joint modulation recognition and parameter estimation of cognitive radar signals with a deep multitask network M Zhu, Z Zhang, C Li, Y Li IET Radar, Sonar & Navigation 15 (11), 1508-1524, 2021 | 17 | 2021 |
| Joint recognition and parameter estimation of cognitive radar work modes with LSTM-transformer Z Zhang, M Zhu, Y Li, Y Li, S Wang Digital Signal Processing 140, 104081, 2023 | 14 | 2023 |
| JDMR-Net: Joint detection and modulation recognition networks for LPI radar signals Z Zhang, M Zhu, Y Li, S Wang IEEE Transactions on Aerospace and Electronic Systems 59 (6), 7575-7589, 2023 | 13 | 2023 |
| Bayesian nonparametric hidden Markov model for agile radar pulse sequences streaming analysis J Bao, Y Li, M Zhu, S Wang IEEE Transactions on Signal Processing 71, 3968-3982, 2023 | 11 | 2023 |
| Radar working mode recognition based on hierarchical feature representation and clustering Y Ma, Y Li, M Zhu, J Zhang IET International Radar Conference (IET IRC 2020) 2020, 1629-1633, 2020 | 7 | 2020 |
| Fast recognition of pull-off jamming using LSTM Y Qin, J Yang, M Zhu, Y Li 2019 IEEE International Conference on Signal, Information and Data …, 2019 | 7 | 2019 |
| Fast algorithm for parameter estimation of LFM signals under low SNR Q Chen, Y Li, M Zhu AIP Conference Proceedings 1839 (1), 2017 | 6 | 2017 |
| Parametric model‐based deinterleaving of radar signals with non‐ideal observations via maximum likelihood solution H Wang, M Zhu, R Fan, Y Li IET Radar, Sonar & Navigation 16 (8), 1253-1268, 2022 | 5 | 2022 |
| Memory‐based deep reinforcement learning for cognitive radar target tracking waveform resource management J Qin, M Zhu, Z Pan, Y Li, Y Li IET Radar, Sonar & Navigation 17 (12), 1822-1836, 2023 | 4 | 2023 |
| Online detection method of multi-function radar work mode changepoints non-ideal observations J Bao, Y Li, M Zhu, W Zhang Acta Electonica Sin 50, 1291-1300, 2022 | 4 | 2022 |
| Online parameter estimation and change point detection for multi-function radar pulse sequence based on the bayesian non-parametric hmm J Bao, Y Li, M Zhu, S Wang arXiv e-prints, arXiv: 2302.04407, 2023 | 3 | 2023 |
| Class Information Guided Reconstruction for Automatic Modulation Open-Set Recognition Z Zhang, M Zhu, J Liu, Y Li, S Wang IEEE Transactions on Cognitive Communications and Networking, 2024 | 1 | 2024 |
| Latent Maximum Entropy based Cognitive Radar Reward Function Estimation With Non-ideal Observations L Zhang, M Zhu, J Qin, Y Li IEEE Transactions on Aerospace and Electronic Systems, 2024 | 1 | 2024 |