publications

2026

1. CAML: A Conflict-Aware Molecular Language Model Merging Framework for Multi-Constraint Molecular Generation

   Xuanbai Ren, Luoda Tan, Pei Liu, Tengfei Ma, Xiangzheng Fu, and 3 more authors

   In The 64th Annual Meeting of the Association for Computational Linguistics, 2026
2. DPsurv: Dual-Prototype Evidential Fusion for Uncertainty-Aware and Interpretable Whole Slide Image Survival Prediction

   Yucheng Xing, Ling Huang, Jingying Ma, Ruping Hong, Jiangdong Qiu, and 4 more authors

   In Forty-third International Conference on Machine Learning, 2026

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3. 

   Sparse Task Vector Mixup with Hypernetworks for Efficient Knowledge Transfer in Whole-Slide Image Prognosis

   Pei Liu, Xiangxiang Zeng, Tengfei Ma, Yucheng Xing, Xuanbai Ren, and 1 more author

   In The IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026

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2025

1. 

   Cross-Cancer Knowledge Transfer in WSI-based Prognosis Prediction

   Pei Liu, Luping Ji, Jiaxiang Gou, and Xiangxiang Zeng

   2025

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2. 

   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

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3. 

   WSOE: Weakly Supervised Outlier Exposure for Object-level Out-of-distribution detection

   Yutian Lei, Luping Ji, and Pei Liu

   Expert Systems with Applications, 2025

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4. 

   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

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5. 

   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

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2024

1. 

   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

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2. 

   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

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3. 

   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

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4. 

   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

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2023

1. 

   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

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2. 

   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

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2021

1. 

   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

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2019

1. 

   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

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