| Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning C Sun, S Hong, M Song, H Li, Z Wang BMC Medical Informatics and Decision Making 21, 1-16, 2021 | 58 | 2021 |
| A review of deep learning methods for irregularly sampled medical time series data C Sun, S Hong, M Song, H Li arXiv preprint arXiv:2010.12493, 2020 | 49 | 2020 |
| A review of designs and applications of echo state networks C Sun, M Song, S Hong, H Li arXiv preprint arXiv:2012.02974, 2020 | 47 | 2020 |
| Classifying vaguely labeled data based on evidential fusion M Song, C Sun, D Cai, S Hong, H Li Information Sciences 583, 159-173, 2022 | 42 | 2022 |
| A new interval numbers power average operator in multiple attribute decision making M Song, W Jiang, C Xie, D Zhou International Journal of Intelligent Systems 32 (6), 631-644, 2017 | 29 | 2017 |
| Hypergraph contrastive learning for electronic health records D Cai, C Sun, M Song, B Zhang, S Hong, H Li Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022 | 26 | 2022 |
| Hypergraph Structure Learning for Hypergraph Neural Networks. D Cai, M Song, C Sun, B Zhang, S Hong, H Li IJCAI, 1923-1929, 2022 | 24 | 2022 |
| Evaluating topological vulnerability based on fuzzy fractal dimension T Wen, M Song, W Jiang International Journal of Fuzzy Systems 20, 1956-1967, 2018 | 24 | 2018 |
| Engine fault diagnosis based on sensor data fusion using evidence theory M Song, W Jiang Advances in Mechanical Engineering 8 (10), 1687814016673291, 2016 | 24 | 2016 |
| Te-esn: Time encoding echo state network for prediction based on irregularly sampled time series data C Sun, S Hong, M Song, Y Zhou, Y Sun, D Cai, H Li arXiv preprint arXiv:2105.00412, 2021 | 21 | 2021 |
| A systematic review of echo state networks from design to application C Sun, M Song, D Cai, B Zhang, S Hong, H Li IEEE Transactions on Artificial Intelligence 5 (1), 23-37, 2022 | 17 | 2022 |
| Knowledge-shot learning: An interpretable deep model for classifying imbalanced electrocardiography data Y Chou, S Hong, Y Zhou, J Shang, M Song, H Li Neurocomputing 417, 64-73, 2020 | 16 | 2020 |
| An improved evidential DEMATEL identify critical success factors under uncertain environment X Shang, M Song, K Huang, W Jiang Journal of Ambient Intelligence and Humanized Computing 11, 3659-3669, 2020 | 12 | 2020 |
| Dlsa: Semi-supervised partial label learning via dependence-maximized label set assignment M Song, H Li, C Sun, D Cai, S Hong Information Sciences 609, 1169-1180, 2022 | 11 | 2022 |
| Personalized vital signs control based on continuous action-space reinforcement learning with supervised experience C Sun, S Hong, M Song, J Shang, H Li Biomedical Signal Processing and Control 69, 102847, 2021 | 10 | 2021 |
| Grp-fed: Addressing client imbalance in federated learning via global-regularized personalization YH Chou, S Hong, C Sun, D Cai, M Song, H Li Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022 | 9 | 2022 |
| A ranking-based cross-entropy loss for early classification of time series C Sun, H Li, M Song, S Hong IEEE Transactions on Neural Networks and Learning Systems, 2023 | 7 | 2023 |
| Continuous diagnosis and prognosis by controlling the update process of deep neural networks C Sun, H Li, M Song, D Cai, B Zhang, S Hong Patterns 4 (2), 2023 | 7 | 2023 |
| Hongyan Li. A review of designs and applications of echo state networks C Sun, M Song, S Hong arXiv preprint arXiv:2012.02974, 2020 | 5 | 2020 |
| Hongyan Li. A review of deep learning methods for irregularly sampled medical time series data C Sun, S Hong, M Song arXiv preprint arXiv:2010.12493 20, 2020 | 5 | 2020 |
