| TD-LSTM: Temporal dependence-based LSTM networks for marine temperature prediction J Liu, T Zhang, G Han, Y Gou Sensors 18 (11), 3797, 2018 | 81 | 2018 |
| DeepOcean: A general deep learning framework for spatio-temporal ocean sensing data prediction Y Gou, T Zhang, J Liu, L Wei, JH Cui IEEE access 8, 79192-79202, 2020 | 36 | 2020 |
| A machine learning approach to argo data analysis in a thermocline Y Jiang, Y Gou, T Zhang, K Wang, C Hu Sensors 17 (10), 2225, 2017 | 31 | 2017 |
| High-resolution temperature and salinity model analysis using support vector regression Y Jiang, T Zhang, Y Gou, L He, H Bai, C Hu Journal of Ambient Intelligence and Humanized Computing, 1-9, 2024 | 24 | 2024 |
| UDARMF: An underwater distributed and adaptive resource management framework T Zhang, Y Gou, J Liu, T Yang, JH Cui IEEE Internet of Things Journal 9 (10), 7196-7210, 2021 | 20 | 2021 |
| Convolutional LSTM networks for seawater temperature prediction J Liu, T Zhang, Y Gou, XY Wang, B Li, W Guan 2019 IEEE International Conference on Signal, Information and Data …, 2019 | 11 | 2019 |
| KNN regression model-based refinement of thermohaline data Y Gou, J Liu, T Zhang Proceedings of the 13th International Conference on Underwater Networks …, 2018 | 9 | 2018 |
| A deep MARL-based power-management strategy for improving the fair reuse of UWSNs Y Gou, T Zhang, T Yang, J Liu, S Song, JH Cui IEEE Internet of Things Journal 10 (7), 6507-6522, 2022 | 7 | 2022 |
| Achieving fair-effective communications and robustness in underwater acoustic sensor networks: A semi-cooperative approach Y Gou, T Zhang, J Liu, T Yang, S Song, JH Cui IEEE Transactions on Mobile Computing, 2023 | 5 | 2023 |
| Achieving time-sharing and spatial-reuse underwater wireless sensor networks with communication fairness: A distributed deep multi-agent reinforcement learning approach Y Gou, T Zhang, J Liu, T Yang, S Song, JH Cui Proceedings of the 15th International Conference on Underwater Networks …, 2021 | 3 | 2021 |
| A scalable and fair power allocation scheme based on deep multi-agent reinforcement learning in underwater wireless sensor networks T Zhang, Y Gou, J Liu, T Yang, S Song, JH Cui Proceedings of the 15th International Conference on Underwater Networks …, 2021 | 3 | 2021 |
| Joint link scheduling and power allocation in imperfect and energy-constrained underwater wireless sensor networks T Zhang, Y Gou, J Liu, S Song, T Yang, JH Cui IEEE Transactions on Mobile Computing, 2024 | 2 | 2024 |
| Analysis of the factors affecting the communication between AUV and acoustic modem: from the perspective of experiments J Guo, J Liu, M Liu, T Zhang, T Yang, JH Cui Proceedings of the 15th International Conference on Underwater Networks …, 2021 | 2 | 2021 |
| A uw-Cellular Network: Design, Implementation and Experiments J Zhu, X Pan, Z Peng, M Liu, J Guo, T Zhang, Y Gou, JH Cui Journal of Marine Science and Engineering 11 (4), 827, 2023 | 1 | 2023 |
| Analysis of thermocline influencing factors based on decision tree methods C Hu, Y Gou, T Zhang, K Wang, L He, Y Jiang Advances in Computer Science and Ubiquitous Computing: CSA-CUTE 17, 328-334, 2018 | 1 | 2018 |
| A Temperature Prediction-Assisted Approach for Evaluating Propagation Delay and Channel Loss of Underwater Acoustic Networks R Gao, J Iiu, S Song, E Wang, Y Gou, T Zhang, J Cui 2022 18th International Conference on Mobility, Sensing and Networking (MSN …, 2022 | | 2022 |
| A-KNN: An adaptive method for constructing high-resolution ocean models J Liu, Y Gou, T Zhang, X Jiang, XQ Du, X Zhang 2019 IEEE International Conference on Signal, Information and Data …, 2019 | | 2019 |
| Thermocline Analysis Based on Entropy Value Methods C Hu, Y Gou, T Zhang, K Wang, L He, Y Jiang Advances in Computer Science and Ubiquitous Computing: CSA-CUTE 17, 335-340, 2018 | | 2018 |
| Construction of High Resolution Thermocline Grid Data Sets C Hu, T Zhang, J Wang, Y Gou, K Wang, H Bai, Y Jiang Advances in Computer Science and Ubiquitous Computing: CSA-CUTE 17, 353-358, 2018 | | 2018 |
Yu GouBeihang University在 buaa.edu.cn 的电子邮件经过验证
