HitBoost: Survival Analysis via a Multi-Output Gradient Boosting Decision Tree Method. - Pei Liu 008; Bo Fu 007; Simon X. Yang (IEEE Access, 2019)

Predicting Invasive Disease-Free Survival for Early Stage Breast Cancer Patients Using Follow-Up Clinical Data. - Bo Fu 007; Pei Liu 008; Jie Lin; Ling Deng; Kejia Hu; Hong Zheng (IEEE Trans. Biomed. Eng., 2019)

Optimizing Survival Analysis of XGBoost for Ties to Predict Disease Progression of Breast Cancer. - Pei Liu 008; Bo Fu 007; Simon X. Yang; Ling Deng; Xiaorong Zhong; Hong Zheng (IEEE Trans. Biomed. Eng., 2021)

DeepGCNMIL: Multi-head Attention Guided Multi-Instance Learning Approach for Whole-Slide Images Survival Analysis Using Graph Convolutional Networks. - Fei Wu; Pei Liu 008; Bo Fu 007; Feng Ye (ICMLC, 2022)

Dual-Stream Transformer with Cross-Attention on Whole-Slide Image Pyramids for Cancer Prognosis. - Pei Liu 008; Bo Fu 007; Feng Ye; Rui Yang; Bin Xu; Luping Ji (CoRR, 2022)

ProtoDiv: Prototype-guided Division of Consistent Pseudo-bags for Whole-slide Image Classification. - Rui Yang; Pei Liu 008; Luping Ji (CoRR, 2023)

GraphLSurv: A scalable survival prediction network with adaptive and sparse structure learning for histopathological whole-slide images. - Pei Liu 008; Luping Ji; Feng Ye; Bo Fu 007 (Comput. Methods Programs Biomed., 2023)

DSCA: A dual-stream network with cross-attention on whole-slide image pyramids for cancer prognosis. - Pei Liu 008; Bo Fu 007; Feng Ye; Rui Yang; Luping Ji (Expert Syst. Appl., 2023)

Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation. - Pei Liu 008; Luping Ji (ICML, 2024)

ProDiv: Prototype-driven consistent pseudo-bag division for whole-slide image classification. - Rui Yang; Pei Liu 008; Luping Ji (Comput. Methods Programs Biomed., 2024)

AdvMIL: Adversarial multiple instance learning for the survival analysis on whole-slide images. - Pei Liu 008; Luping Ji; Feng Ye; Bo Fu 007 (Medical Image Anal., 2024)

Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification. - Pei Liu 008; Luping Ji; Xinyu Zhang; Feng Ye (IEEE Trans. Medical Imaging, 2024)

Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification. - Jiaxiang Gou; Luping Ji; Pei Liu 008; Mao Ye 001 (AAAI, 2025)

Mining In-distribution Attributes in Outliers for Out-of-distribution Detection. - Yutian Lei; Luping Ji; Pei Liu 008 (AAAI, 2025)

Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology. - Pei Liu 008; Luping Ji; Jiaxiang Gou; Bo Fu 007; Mao Ye 001 (ICLR, 2025)

WSOE: Weakly Supervised Outlier Exposure for Object-level Out-of-distribution detection. - Yutian Lei; Luping Ji; Pei Liu 008 (Expert Syst. Appl., 2025)