CLUE: Personalized Hospital Readmission Prediction Against Data Insufficiency under Imbalanced-Data Environment. - Qianwen Meng; Lizhen Cui; Guoxian Yu; Han Yu 001; Wei Guo 017; Hui Li 048 (BIBM, 2020)

MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series. - Qianwen Meng; Hangwei Qian; Yong Liu 020; Lizhen Cui; Yonghui Xu; Zhiqi Shen 001 (AAAI, 2023)

Advancing Precision Medicine: Treatment Regimen Recommendations via Siamese Neural Networks. - Qianwen Meng; Yonghui Xu; Fanglin Zhu; Lizhen Cui (BIBM, 2023)

Unsupervised Representation Learning for Time Series: A Review. - Qianwen Meng; Hangwei Qian; Yong Liu 020; Yonghui Xu; Zhiqi Shen 001; Lizhen Cui (CoRR, 2023)

SP-Aug: Towards Efficient Semantic-Preserving Augmentations in Contrastive Learning via Hierarchical Outlier Factor. - Qianwen Meng; Hangwei Qian; Yonghui Xu; Lizhen Cui (DASFAA (2), 2024)

Multi-modal Food Recommendation Using Clustering and Self-supervised Learning. - Yixin Zhang; Xin Zhou 008; Qianwen Meng; Fanglin Zhu; Yonghui Xu; Zhiqi Shen 001; Lizhen Cui (PRICAI (1), 2024)

Augmentation blending with clustering-aware outlier factor: An outlier-driven perspective for enhanced contrastive learning. - Qianwen Meng; Hangwei Qian; Yonghui Xu; Lizhen Cui (Knowl. Based Syst., 2024)