LncRNA-miRNA interaction prediction through sequence-derived linear neighborhood propagation method with information combination W Zhang, G Tang, S Zhou, Y Niu BMC genomics 20, 1-12, 2019 | 48 | 2019 |
Subtractive aggregation for attributed network anomaly detection S Zhou, Q Tan, Z Xu, X Huang, F Chung Proceedings of the 30th ACM International Conference on Information …, 2021 | 23 | 2021 |
Graph embedding ensemble methods based on the heterogeneous network for lncRNA-miRNA interaction prediction C Zhao, Y Qiu, S Zhou, S Liu, W Zhang, Y Niu BMC genomics 21, 1-12, 2020 | 21 | 2020 |
LncRNA-miRNA interaction prediction from the heterogeneous network through graph embedding ensemble learning S Zhou, X Yue, X Xu, S Liu, W Zhang, Y Niu 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 18 | 2019 |
Unseen anomaly detection on networks via multi-hypersphere learning S Zhou, X Huang, N Liu, Q Tan, FL Chung Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022 | 14 | 2022 |
Sequence-derived linear neighborhood propagation method for predicting lncRNA-miRNA interactions W Zhang, G Tang, S Wang, Y Chen, S Zhou, X Li 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 12 | 2018 |
PHICON: improving generalization of clinical text de-identification models via data augmentation X Yue, S Zhou The 3rd ClinicalNLP Workshop at EMNLP'20, 2020 | 10 | 2020 |
Improving generalizability of graph anomaly detection models via data augmentation S Zhou, X Huang, N Liu, H Zhou, FL Chung, LK Huang IEEE Transactions on Knowledge and Data Engineering 35 (12), 12721-12735, 2023 | 4 | 2023 |
Interest driven graph structure learning for session-based recommendation H Zhou, S Zhou, K Duan, X Huang, Q Tan, Z Yu Pacific-Asia Conference on Knowledge Discovery and Data Mining, 284-296, 2023 | 3 | 2023 |
Denoising-Aware Contrastive Learning for Noisy Time Series S Zhou, D Zha, X Shen, X Huang, R Zhang, FL Chung arXiv preprint arXiv:2406.04627, 2024 | | 2024 |
Graph anomaly detection with diverse supervision signals S Zhou Hong Kong Polytechnic University, 2024 | | 2024 |