| MVAN: Multi-view attention networks for fake news detection on social media S Ni, J Li, HY Kao IEEE Access 9, 106907-106917, 2021 | 67 | 2021 |
| Meet the truth: Leverage objective facts and subjective views for interpretable rumor detection J Li, S Ni, HY Kao Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 26 | 2021 |
| Exploiting microblog conversation structures to detect rumors J Li, Y Sujana, HY Kao Proceedings of the 28th International Conference on Computational …, 2020 | 25 | 2020 |
| Rumor detection on Twitter using multiloss hierarchical BiLSTM with an attenuation factor Y Sujana, J Li, HY Kao Proceedings of the 1st Conference of the Asia-Pacific Chapter of the …, 2020 | 19 | 2020 |
| Birds of a feather rumor together? Exploring homogeneity and conversation structure in social media for rumor detection J Li, S Ni, HY Kao IEEE Access 8, 212865-212875, 2020 | 17 | 2020 |
| Cooperative unmanned surface vehicles and unmanned aerial vehicles platform as a tool for coastal monitoring activities J Wu, R Li, J Li, M Zou, Z Huang Ocean & Coastal Management 232, 106421, 2023 | 9 | 2023 |
| A fast maritime target identification algorithm for offshore ship detection J Wu, J Li, R Li, X Xi, D Gui, J Yin Applied Sciences 12 (10), 4938, 2022 | 8 | 2022 |
| Knowledge-transfer-based bidirectional vessel monitoring system for remote and nearshore images J Li, Y Yang, X Li, J Sun, R Li Journal of Marine Science and Engineering 11 (5), 1068, 2023 | 5 | 2023 |
| Dropattack: A masked weight adversarial training method to improve generalization of neural networks S Ni, J Li, HY Kao arXiv preprint arXiv:2108.12805, 2021 | 5 | 2021 |
| HAT4RD: Hierarchical adversarial training for rumor detection in social media S Ni, J Li, HY Kao Sensors 22 (17), 6652, 2022 | 4 | 2022 |
| A novel energy-saving route planning algorithm for marine vehicles Y Ding, R Li, H Shen, J Li, L Cao Applied Sciences 12 (12), 5971, 2022 | 4 | 2022 |
| R-AT: Regularized adversarial training for natural language understanding S Ni, J Li, HY Kao Findings of the Association for Computational Linguistics: EMNLP 2022, 6427-6440, 2022 | 3 | 2022 |
| True or false: Does the deep learning model learn to detect rumors? S Ni, J Li, HY Kao 2021 International Conference on Technologies and Applications of Artificial …, 2021 | 3 | 2021 |
| Vessel traffic scheduling optimization for passenger RoRo terminals with restricted harbor basin Q Jia, R Li, J Li, Z Li, J Liu Ocean & Coastal Management 246, 106904, 2023 | 2 | 2023 |
| Departure Vessel Scheduling Optimization Considering Traffic Restrictions in Turning Basin: A Case Study for Xuwen Terminal Q Jia, R Li, J Li Journal of Marine Science and Engineering 11 (7), 1311, 2023 | 2 | 2023 |
| EPRD: Exploiting prior knowledge for evidence-providing automatic rumor detection J Li, R Li, S Ni, HY Kao Neurocomputing 563, 126935, 2024 | 1 | 2024 |
| Managing traffic rules of fairway and turning basin in a passenger RoRo terminal Q Jia, R Li, J Li, Z Li, J Liu Available at SSRN 4291849, 2022 | 1 | 2022 |
| DropAttack: A Random Dropped Weight Attack Adversarial Training for Natural Language Understanding S Ni, J Li, M Yang, HY Kao IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023 | | 2023 |
| Numerical Analysis of the Impact Resistance of Composite A-Shaped Sandwich Structures X Gu, J Li, J Huang, Y Ao, B Zhao Materials 16 (14), 5031, 2023 | | 2023 |
| LFLD-CLbased NET: A Curriculum-Learning-Based Deep Learning Network with Leap-Forward-Learning-Decay for Ship Detection J Li, J Sun, X Li, Y Yang, X Jiang, R Li Journal of Marine Science and Engineering 11 (7), 1388, 2023 | | 2023 |
Hung-Yu KaoNational Cheng Kung UniversityVerified email at mail.ncku.edu.tw
