2025 Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology Pei Liu, Luping Ji, Jiaxiang Gou, Bo Fu, and Mao Ye In The Thirteenth International Conference on Learning Representations, 2025 HTML PDF Code WSOE: Weakly Supervised Outlier Exposure for Object-level Out-of-distribution detection Yutian Lei, Luping Ji, and Pei Liu Expert Systems with Applications, 2025 HTML PDF Code Mining In-distribution Attributes in Outliers for Out-of-distribution Detection Yutian Lei, Luping Ji, and Pei Liu In Proceedings of The 39th Annual AAAI Conference on Artificial Intelligence, 2025 HTML PDF Code Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification Jiaxiang Gou, Luping Ji, Pei Liu, and Mao Ye In Proceedings of The 39th Annual AAAI Conference on Artificial Intelligence, 2025 HTML PDF Code 2024 Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation Pei Liu, and Luping Ji In Proceedings of the 41st International Conference on Machine Learning, 2024 HTML PDF Code Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification Pei Liu, Luping Ji, Xinyu Zhang, and Feng Ye IEEE Transactions on Medical Imaging, 2024 HTML PDF Code AdvMIL: Adversarial multiple instance learning for the survival analysis on whole-slide images Pei Liu, Luping Ji, Feng Ye, and Bo Fu Medical Image Analysis, 2024 HTML PDF Code ProDiv: Prototype-driven Consistent Pseudo-bag Division for Whole-slide Image Classification Rui Yang, Pei Liu, and Luping Ji Computer Methods and Programs in Biomedicine, 2024 HTML PDF Code 2023 DSCA: A dual-stream network with cross-attention on whole-slide image pyramids for cancer prognosis Pei Liu, Bo Fu, Feng Ye, Rui Yang, and Luping Ji Expert Systems with Applications, 2023 HTML PDF Code GraphLSurv: A scalable survival prediction network with adaptive and sparse structure learning for histopathological whole-slide images Pei Liu, Luping Ji, Feng Ye, and Bo Fu Computer Methods and Programs in Biomedicine, 2023 HTML PDF Code 2021 Optimizing Survival Analysis of XGBoost for Ties to Predict Disease Progression of Breast Cancer Pei Liu, Bo Fu, Simon X. Yang, Ling Deng, Xiaorong Zhong, and 1 more author IEEE Transactions on Biomedical Engineering, 2021 HTML PDF Code 2019 Predicting Invasive Disease-Free Survival for Early Stage Breast Cancer Patients Using Follow-Up Clinical Data Bo Fu, Pei Liu, Jie Lin, Ling Deng, Kejia Hu, and 1 more author IEEE Transactions on Biomedical Engineering, 2019 HTML PDF Code
