| Distributed hash table: Theory, platforms and applications H Zhang, Y Wen, H Xie, N Yu Springer, 2013 | 62 | 2013 |
| MM-RNN: A multimodal RNN for precipitation nowcasting Z Ma, H Zhang, J Liu IEEE Transactions on Geoscience and Remote Sensing 61, 1-14, 2023 | 51 | 2023 |
| Preciplstm: A meteorological spatiotemporal lstm for precipitation nowcasting Z Ma, H Zhang, J Liu IEEE Transactions on Geoscience and Remote Sensing 60, 1-8, 2022 | 28 | 2022 |
| Mobile cloud computing based privacy protection in location‐based information survey applications H Zhang, N Yu, Y Wen Security and Communication Networks 8 (6), 1006-1025, 2015 | 17 | 2015 |
| DB-RNN: An RNN for Precipitation Nowcasting Deblurring Z Ma, H Zhang, J Liu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2024 | 14 | 2024 |
| Data Augmentation Based Federated Learning H Zhang, Q Hou, T Wu, S Cheng, J Liu IEEE Internet of Things Journal 10 (24), 22530 - 22541, 2023 | 14 | 2023 |
| MS-RNN: A flexible multi-scale framework for spatiotemporal predictive learning Z Ma, H Zhang, J Liu arXiv preprint arXiv:2206.03010, 2022 | 14 | 2022 |
| Fedcos: A scene-adaptive enhancement for federated learning H Zhang, T Wu, S Cheng, J Liu IEEE Internet of Things Journal 10 (5), 4545-4556, 2022 | 13* | 2022 |
| Focal frame loss: A simple but effective loss for precipitation nowcasting Z Ma, H Zhang, J Liu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 13 | 2022 |
| Discrimloss: A universal loss for hard samples and incorrect samples discrimination T Wu, X Ding, H Zhang, J Gao, M Tang, L Du, B Qin, T Liu IEEE Transactions on Multimedia 26, 1957-1968, 2023 | 12 | 2023 |
| Noisywikihow: A benchmark for learning with real-world noisy labels in natural language processing T Wu, X Ding, M Tang, H Zhang, B Qin, T Liu arXiv preprint arXiv:2305.10709, 2023 | 11 | 2023 |
| A Stackelberg Game Based Framework for Edge Pricing and Resource Allocation in Mobile Edge Computing S Cheng, T Ren, H Zhang, J Huang, J Liu IEEE Internet of Things Journal, 2024 | 10 | 2024 |
| Stgn: an implicit regularization method for learning with noisy labels in natural language processing T Wu, X Ding, M Tang, H Zhang, B Qin, T Liu Proceedings of the 2022 conference on empirical methods in natural language …, 2022 | 9 | 2022 |
| Aperiodic local SGD: Beyond local SGD H Zhang, T Wu, S Cheng, J Liu Proceedings of the 51st International Conference on Parallel Processing, 1-10, 2022 | 8 | 2022 |
| Dynamic adaptive workload offloading strategy in mobile edge computing networks Y Li, S Cheng, H Zhang, J Liu Computer Networks 233, 109878, 2023 | 7 | 2023 |
| CC-FedAvg: Computationally customized federated averaging H Zhang, T Wu, S Cheng, J Liu IEEE Internet of Things Journal 11 (3), 4826-4841, 2023 | 7* | 2023 |
| The optimal noise distribution for privacy preserving in mobile aggregation applications H Zhang, N Yu, H Hu International Journal of Distributed Sensor Networks 10 (2), 678098, 2014 | 6 | 2014 |
| MS-LSTM: Exploring spatiotemporal multiscale representations in video prediction domain Z Ma, H Zhang, J Liu Applied Soft Computing 147, 110731, 2023 | 5 | 2023 |
| Dynamic layer-wise sparsification for distributed deep learning H Zhang, T Wu, Z Ma, F Li, J Liu Future Generation Computer Systems 147, 1-15, 2023 | 5 | 2023 |
| Towards optimal noise distribution for privacy preserving in data aggregation H Zhang, N Yu, Y Wen, W Zhang Computers & security 45, 210-230, 2014 | 4 | 2014 |
Jie LiuHarbin Institute of TechnologyVerifisert e-postadresse på hit.edu.cn
