Weiping Lin

According to our database, Weiping Lin authored at least 20 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Establishing a prediction model for the therapeutic outcomes of short-term and long-term orthokeratology treatment: using baseline data and changes in AL as dynamic variables.

Zixun Wang, Xiaoxue Hu, Feng Chang, Xiaoling Zhang, Boxuan Sun, Rui Li, Weiping Lin, Ruihua Wei

BMC Medical Informatics Decis. Mak., December, 2026

MCS-Stain: Boosting FFPE-to-HE Virtual Staining With Multiple Cell Semantics.

Yihuang Hu, Zhicheng Du, Weiping Lin, Shurong Yang, Lequan Yu, Guojun Zhang, Liansheng Wang

IEEE Trans. Medical Imaging, April, 2026

Learning to Decode in Parallel: Self-Coordinating Neural Network for Real-Time Quantum Error Correction.

Kai Zhang, Zhengzhong Yi, Shaojun Guo, Linghang Kong, Situ Wang, Xiaoyu Zhan, Tan He, Weiping Lin, Tao Jiang, Dongxin Gao, Yiming Zhang, Fangming Liu, Fang Zhang, Zhengfeng Ji, Fusheng Chen, Jianxin Chen

CoRR, January, 2026

Exploring potential therapeutic targets for myopia: Causal analysis and biological annotation with gut microbiota.

Zixun Wang, Yimeng Sun, Xiaoling Zhang, Luqiang Wang, Desheng Song, Jingtao Yu, Xiaoxue Hu, Weiping Lin, Ruihua Wei

Comput. Biol. Chem., 2026

2025

A Prototype-Guided Coarse Annotations Refining Approach for Whole Slide Images.

Bingjian Yao, Weiping Lin, Yan He, Zheng Wang, Liangsheng Wang

CoRR, March, 2025

Unveiling Institution-Specific Bias in Pathology Foundation Models: Detriments, Causes, and Potential Solutions.

Weiping Lin, Shen Liu, Runchen Zhu, Liansheng Wang

CoRR, February, 2025

GastritisMIL: An interpretable deep learning model for the comprehensive histological assessment of chronic gastritis.

Kun Xia, Yihuang Hu, Shuntian Cai, Mengjie Lin, Mingzhi Lu, Huadong Lu, Yuhan Ye, Fenglian Lin, Liang Gao, Qingan Xia, Ruihua Tian, Weiping Lin, Lei Xie, Decheng Tan, Yapi Lu, Xunting Lin, Xiaoning Yang, Lingfeng Zhong, Lei Xu, Zhixin Zhang, Liansheng Wang, Jianlin Ren, Hongzhi Xu

Patterns, 2025

A Staining Variability-Aware Semi-supervised Framework for H&E-to-IHC Virtual Staining.

Baoshun Wang, Weiping Lin, Shen Liu, Yihuang Hu, Liansheng Wang

Proceedings of the Efficient Medical Artificial Intelligence, 2025

Multi-stage Multi-resolution Fusion for Accurate and Efficient Whole Slide Image Segmentation in Colorectal Cancer.

Shen Liu, Weiping Lin, Wentai Hou, Yuanzheng Lou, Baptiste Magnier, Yanqing Ding, Liansheng Wang

Proceedings of the Applications of Medical Artificial Intelligence, 2025

MVMIL: Multi-view Multiple Instance Learning for Whole Slide Image Classification of Bladder Cancer.

Shen Liu, Yihuang Hu, Weiping Lin, Ying Huang, Jun Hou, Baptiste Magnier, Liansheng Wang

Proceedings of the Applications of Medical Artificial Intelligence, 2025

Enhancing Soft Tissue Sarcoma Classification by Mitigating Patient-Specific Bias in Whole Slide Images.

Weiping Lin, Runchen Zhu, Wentai Hou, Jiacheng Wang, Yixuan Lin, Rui Chen, Na Ta, Liansheng Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Tumor Microenvironment-Guided Fine-Tuning of Pathology Foundation Models for Esophageal Squamous Cell Carcinoma Immunotherapy Response Prediction.

Yixuan Lin, Weiping Lin, Chenxu Guo, Xinxin Yang, Hongxue Meng, Liansheng Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Controllable Image Synthesis Workflow for Enhancing Cervical Cell Detection.

Yihuang Hu, Qi Chen, Linbo Liao, Weiping Lin, Huisi Wu, Liansheng Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring.

Qiong Peng, Weiping Lin, Yihuang Hu, Ailisi Bao, Chenyu Lian, Weiwei Wei, Meng Yue, Jingxin Liu, Lequan Yu, Liansheng Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

CPDT: A Novel Cluster-based Paired Decision Tree for Identifying Biomedical Entity Interactions.

Jiayu Zou, Lianlian Wu, Weiping Lin, Kunhong Liu, Yong Xu, Song He, Xiaochen Bo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference.

Weiping Lin, Zhenfeng Zhuang, Lequan Yu, Liansheng Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

The design of error-correcting output codes based deep forest for the micro-expression recognition.

Weiping Lin, Qi-Chao Ge, Sze-Teng Liong, Jia-Tong Liu, Kunhong Liu, Qingqiang Wu

Appl. Intell., 2023

2022

An enhanced cascade-based deep forest model for drug combination prediction.

Weiping Lin, Lianlian Wu, Yixin Zhang, Yuqi Wen, Bowei Yan, Chong Dai, Kun-Hong Liu, Song He, Xiaochen Bo

Briefings Bioinform., 2022

2021

FES-RF: A Feature Ensemble Selection Based Random Forest Method For Accurate Cancer Screening.

Jiatong Liu, Changbin Pan, Dongdong Chen, Weiping Lin, Shangyuan Feng, Sufang Qiu, Beizhan Wang, KunHong Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Imprecise Deep Forest for Partial Label Learning.

Jie Gao, Weiping Lin, KunHong Liu, Qingqi Hong, Guangyi Lin, Beizhan Wang

IEEE Access, 2020