| A survey on fault diagnosis in wireless sensor networks Z Zhang, A Mehmood, L Shu, Z Huo, Y Zhang, M Mukherjee IEEE Access 6, 11349-11364, 2018 | 180 | 2018 |
| A short review on sleep scheduling mechanism in wireless sensor networks Z Zhang, L Shu, C Zhu, M Mukherjee Quality, Reliability, Security and Robustness in Heterogeneous Systems: 13th …, 2018 | 28 | 2018 |
| Rsgnn: A model-agnostic approach for enhancing the robustness of signed graph neural networks Z Zhang, J Liu, X Zheng, Y Wang, P Han, Y Wang, K Zhao, Z Zhang Proceedings of the ACM Web Conference 2023, 60-70, 2023 | 12 | 2023 |
| A short survey on fault diagnosis in wireless sensor networks Z Zhang, L Shu, A Mehmood, L Yan, Y Zhang Wireless Internet: 9th International Conference, WICON 2016, Haikou, China …, 2018 | 11 | 2018 |
| Contrastive learning for signed bipartite graphs Z Zhang, J Liu, K Zhao, S Yang, X Zheng, Y Wang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 9 | 2023 |
| USER: Unsupervised structural entropy-based robust graph neural network Y Wang, Y Wang, Z Zhang, S Yang, K Zhao, J Liu Proceedings of the 37th AAAI Conference on Artificial Intelligence 37 (8), 10235, 2023 | 6 | 2023 |
| Energy-utilization aware sleep scheduling in green WSNs for sustainable throughput W Fang, Z Zhang, M Mukherjee, L Shu, Z Zhou IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society …, 2017 | 4 | 2017 |
| Enhancing student performance prediction on learnersourced questions with sgnn-llm synergy L Ni, S Wang, Z Zhang, X Li, X Zheng, P Denny, J Liu Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23232 …, 2024 | 2 | 2024 |
| CSG: Curriculum Representation Learning for Signed Graph Z Zhang, J Liu, K Zhao, Y Wang, P Han, X Zheng, Q Wang, Z Zhang arXiv preprint arXiv:2310.11083, 2023 | 2 | 2023 |
| Sga: A graph augmentation method for signed graph neural networks Z Zhang, S Wan, S Wang, X Zheng, X Zhang, K Zhao, J Liu, D Hao arXiv preprint arXiv:2310.09705, 2023 | 2 | 2023 |
| Multimodal prediction of student performance: A fusion of signed graph neural networks and large language models S Wang, L Ni, Z Zhang, X Li, X Zheng, J Liu Pattern Recognition Letters 181, 1-8, 2024 | | 2024 |
| Signed Graph Representation Learning: A Survey Z Zhang, P Zhao, X Li, J Liu, X Zhang, J Huang, X Zhu arXiv preprint arXiv:2402.15980, 2024 | | 2024 |
| ST CRF: Spatial-Temporal Conditional Random Field for Human Trajectory Prediction P Han, J Liu, J He, Z Zhang, S Yang, Y Tang, P Roop arXiv preprint arXiv:2311.18198, 2023 | | 2023 |
| A Condition-Monitoring Method for Rolling Bearings Based on Dynamic Asynchronous Peak-Factor Ratios G Zhu, Q Huang, Z Zhang Sensors 23 (21), 8939, 2023 | | 2023 |
| Towards Legal Judgment Summarization: A Structure-Enhanced Approach Q Wang, R Wang, K Zhao, R Amor, B Liu, X Zheng, Z Zhang, Z Huang ECAI2023, 2023 | | 2023 |
| Signed Graph Representation Learning Z Zhang PhD Thesis-University of Auckland, 2023 | | 2023 |
| 弧面凸轮廓面的新型通用算法 张泽宇， 郑方焱， 喻恒， 王隆进 机械传动 37 (10), 51-54, 2013 | | 2013 |
Lei Shu (舒磊)Professor, Nanjing Agricultural University, China and Lincoln Professor, University of Lincoln, UKVerified email at njau.edu.cn
