| MHCCL: masked hierarchical cluster-wise contrastive learning for multivariate time series Q Meng, H Qian, Y Liu, L Cui, Y Xu, Z Shen Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9153-9161, 2023 | 44 | 2023 |
| Unsupervised representation learning for time series: A review Q Meng, H Qian, Y Liu, Y Xu, Z Shen, L Cui arXiv preprint arXiv:2308.01578, 2023 | 29 | 2023 |
| Multi-modal Food Recommendation using Clustering and Self-supervised Learning Y Zhang, X Zhou, Q Meng, F Zhu, Y Xu, Z Shen, L Cui Pacific Rim International Conference on Artificial Intelligence, 269-281, 2024 | 3 | 2024 |
| Clue: Personalized hospital readmission prediction against data insufficiency under imbalanced-data environment Q Meng, L Cui, G Yu, H Yu, W Guo, H Li 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 1 | 2020 |
| SP-Aug: Towards Efficient Semantic-Preserving Augmentations in Contrastive Learning via Hierarchical Outlier Factor Q Meng, H Qian, Y Xu, L Cui International Conference on Database Systems for Advanced Applications, 312-321, 2024 | | 2024 |
| Augmentation blending with clustering-aware outlier factor: An outlier-driven perspective for enhanced contrastive learning Q Meng, H Qian, Y Xu, L Cui Knowledge-Based Systems, 112014, 2024 | | 2024 |
| Advancing Precision Medicine: Treatment Regimen Recommendations via Siamese Neural Networks Q Meng, Y Xu, F Zhu, L Cui 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |
