| 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 | 69* | 2022 |
| TEST: Text prototype aligned embedding to activate LLM's ability for time series C Sun, Y Li, H Li, S Hong The Twelfth International Conference on Learning Representations (ICLR 2024), 2024 | 68* | 2024 |
| A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data. C Sun, S Hong, M Song, H Li A Review of Deep Learning Methods for Irregularly Sampled Medical Time …, 2020 | 62* | 2020 |
| 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 | 60 | 2021 |
| Classifying vaguely labeled data based on evidential fusion M Song, C Sun, D Cai, S Hong, H Li Information Sciences 583, 159-173, 2022 | 44 | 2022 |
| Hypergraph Structure Learning for Hypergraph Neural Networks. D Cai, M Song, C Sun, B Zhang, S Hong, H Li IJCAI, 1923-1929, 2022 | 30 | 2022 |
| 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 | 29 | 2022 |
| A movable unshielded magnetocardiography system W Xiao, C Sun, L Shen, Y Feng, M Liu, Y Wu, X Liu, T Wu, X Peng, H Guo Science Advances 9 (13), eadg1746, 2023 | 25 | 2023 |
| 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 |
| Practical lessons on 12-lead ECG classification: Meta-analysis of methods from PhysioNet/computing in cardiology challenge 2020 S Hong, W Zhang, C Sun, Y Zhou, H Li Frontiers in Physiology 12, 811661, 2022 | 21 | 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 | 20 | 2020 |
| Multi-type sensor placements in Gaussian spatial fields for environmental monitoring C Sun, Y Yu, VOK Li, JCK Lam Sensors 19 (1), 189, 2019 | 15 | 2019 |
| 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 | 14 | 2022 |
| 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 | 11 | 2022 |
| Interpretable time-aware and co-occurrence-aware network for medical prediction C Sun, H Dui, H Li BMC medical informatics and decision making 21, 1-12, 2021 | 11 | 2021 |
| Evaluation of protection effect of coordinated management of different kinds of nature reserves Y CHEN, P HOU, Y WANG, K PENG, J ZHAI, H XU, H ZHU, C SUN Journal of Natural Resources 35 (4), 779-787, 2020 | 11 | 2020 |
| 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 | 10 | 2023 |
| 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 |
| Addressing noise and skewness in interpretable health-condition assessment by learning model confidence Y Zhou, S Hong, J Shang, M Wu, Q Wang, H Li, J Xie Sensors 20 (24), 7307, 2020 | 10 | 2020 |
| 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 | 8 | 2023 |
