Pei Liu - RankMe

25 papers A* 4Misc 1Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Sparse Task Vector Mixup with Hypernetworks for Efficient Knowledge Transfer in Whole-Slide Image Prognosis. CoRR Pei Liu, Xiangxiang Zeng, Tengfei Ma, Yucheng Xing, Xuanbai Ren, Yiping Liu
2025	A*	`conf`	Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology. ICLR Pei Liu, Luping Ji, Jiaxiang Gou, Bo Fu, Mao Ye
2025	A*	`conf`	Mining In-distribution Attributes in Outliers for Out-of-distribution Detection. AAAI Yutian Lei, Luping Ji, Pei Liu
2025	A*	`conf`	Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification. AAAI Jiaxiang Gou, Luping Ji, Pei Liu, Mao Ye
2025	J	`jnl`	Towards Understanding and Harnessing the Transferability of Prognostic Knowledge in Computational Pathology. CoRR Pei Liu, Luping Ji, Jiaxiang Gou, Xiangxiang Zeng
2025	J	`jnl`	WSOE: Weakly Supervised Outlier Exposure for Object-level Out-of-distribution detection. Expert Syst. Appl. Yutian Lei, Luping Ji, Pei Liu
2024	J	`jnl`	AdvMIL: Adversarial multiple instance learning for the survival analysis on whole-slide images. Medical Image Anal. Pei Liu, Luping Ji, Feng Ye, Bo Fu
2024	—	`conf`	Collaborative Learning with Curriculum Loss for Accurate and Interpretable Weakly Supervised Whole-Slide Image Classification. MLIC Rui Yang, Pei Liu, Luping Ji
2024	J	`jnl`	Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology. CoRR Pei Liu, Luping Ji, Jiaxiang Gou, Bo Fu, Mao Ye
2024	J	`jnl`	Mining In-distribution Attributes in Outliers for Out-of-distribution Detection. CoRR Yutian Lei, Luping Ji, Pei Liu
2024	J	`jnl`	ProDiv: Prototype-driven consistent pseudo-bag division for whole-slide image classification. Comput. Methods Programs Biomed. Rui Yang, Pei Liu, Luping Ji
2024	J	`jnl`	Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification. IEEE Trans. Medical Imaging Pei Liu, Luping Ji, Xinyu Zhang, Feng Ye
2024	J	`jnl`	Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification. CoRR Jiaxiang Gou, Luping Ji, Pei Liu, Mao Ye
2024	A*	`conf`	Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation. ICML Pei Liu, Luping Ji
2024	J	`jnl`	Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation. CoRR Pei Liu, Luping Ji
2023	J	`jnl`	DSCA: A dual-stream network with cross-attention on whole-slide image pyramids for cancer prognosis. Expert Syst. Appl. Pei Liu, Bo Fu, Feng Ye, Rui Yang, Luping Ji
2023	J	`jnl`	GraphLSurv: A scalable survival prediction network with adaptive and sparse structure learning for histopathological whole-slide images. Comput. Methods Programs Biomed. Pei Liu, Luping Ji, Feng Ye, Bo Fu
2023	J	`jnl`	ProtoDiv: Prototype-guided Division of Consistent Pseudo-bags for Whole-slide Image Classification. CoRR Rui Yang, Pei Liu, Luping Ji
2023	J	`jnl`	Pseudo-Bag Mixup Augmentation for Multiple Instance Learning Based Whole Slide Image Classification. CoRR Pei Liu, Luping Ji, Xinyu Zhang, Feng Ye
2022	J	`jnl`	AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images. CoRR Pei Liu, Luping Ji, Feng Ye, Bo Fu
2022	Misc	`conf`	DeepGCNMIL: Multi-head Attention Guided Multi-Instance Learning Approach for Whole-Slide Images Survival Analysis Using Graph Convolutional Networks. ICMLC Fei Wu, Pei Liu, Bo Fu, Feng Ye
2022	J	`jnl`	Dual-Stream Transformer with Cross-Attention on Whole-Slide Image Pyramids for Cancer Prognosis. CoRR Pei Liu, Bo Fu, Feng Ye, Rui Yang, Bin Xu, Luping Ji
2021	J	`jnl`	Optimizing Survival Analysis of XGBoost for Ties to Predict Disease Progression of Breast Cancer. IEEE Trans. Biomed. Eng. Pei Liu, Bo Fu, Simon X. Yang, Ling Deng, Xiaorong Zhong, Hong Zheng
2019	J	`jnl`	HitBoost: Survival Analysis via a Multi-Output Gradient Boosting Decision Tree Method. IEEE Access Pei Liu, Bo Fu, Simon X. Yang
2019	J	`jnl`	Predicting Invasive Disease-Free Survival for Early Stage Breast Cancer Patients Using Follow-Up Clinical Data. IEEE Trans. Biomed. Eng. Bo Fu, Pei Liu, Jie Lin, Ling Deng, Kejia Hu, Hong Zheng