Jiawen Li

According to our database, Jiawen Li authored at least 28 papers between 2023 and 2026.

Collaborative distances:

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

2026

Beyond ViT Tokens: Masked-Diffusion Pretrained Convolutional Pathology Foundation Model for Cell-Level Dense Prediction.

Weiming Chen, Xitong Ling, Zhenyang Cai, Xidong Wang, Jiawen Li, Tian Guan, Benyou Wang, Yonghong He

CoRR, May, 2026

A Digital Pathology Resource for Liver Cancer Quantification with Datasets, Benchmarks, and Tools.

Ying Xiao, Shimiao Tang, Xitong Ling, Weiming Chen, Jun Wang, Jiawen Li, Huaitian Yuan, Jianghui Yang, Bowen Li, Huan Li, Yiting Meng, Tian Guan, Yonghong He, Hongfang Yin

CoRR, April, 2026

To What Extent Do Token-Level Representations from Pathology Foundation Models Improve Dense Prediction?

Weiming Chen, Xitong Ling, Xidong Wang, Zhenyang Cai, Yijia Guo, Mingxi Fu, Ziyi Zeng, Minxi Ouyang, Jiawen Li, Yizhi Wang, Tian Guan, Benyou Wang, Yonghong He

CoRR, February, 2026

Diagnostic text-guided representation learning in hierarchical classification for pathological whole slide image.

Jiawen Li, Qiehe Sun, Renao Yan, Yizhi Wang, Yuqiu Fu, Yani Wei, Tian Guan, Huijuan Shi, Yonghong He, Anjia Han

Medical Image Anal., 2026

Multimodal Distillation-Driven Ensemble Learning for Long-Tailed Histopathology Whole Slide Images Analysis.

Xitong Ling, Xiaoxiao Li, Jiawen Li, Mingxi Fu, Yuxuan Chen, Jing Peng, Minxi Ouyang, Yizhi Wang, Yonghong He, Xiaoping Liu, Lianghui Zhu, Tian Guan

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Rethinking Slide-Level Adaptation of Pathology Foundation Models.

Jiawen Li, Jiali Hu, Qiehe Sun, Xitong Ling, Yuxuan Chen, Renao Yan, Tian Guan, Anjia Han, Chao He, Yonghong He

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

HookMIL: Revisiting Context Modeling in Multiple Instance Learning for Computational Pathology.

Xitong Ling, Minxi Ouyang, Xiaoxiao Li, Jiawen Li, Ying Chen, Yuxuan Sun, Xinrui Chen, Tian Guan, Xiaoping Liu, Yonghong He

CoRR, December, 2025

StainNet: A Special Staining Self-Supervised Vision Transformer for Computational Pathology.

Jiawen Li, Jiali Hu, Xitong Ling, Yongqiang Lv, Yuxuan Chen, Yizhi Wang, Tian Guan, Yifei Liu, Yonghong He

CoRR, December, 2025

From Generic to Specialized: A Subspecialty Diagnostic System Powered by Self-Supervised Learning for Cervical Histopathology.

Yizhi Wang, Li Chen, Qiang Huang, Tian Guan, Xi Deng, Zhiyuan Shen, Jiawen Li, Xinrui Chen, Bin Hu, Xitong Ling, Taojie Zhu, Zirui Huang, Deshui Yu, Yan Liu, Jiurun Chen, Lianghui Zhu, Qiming He, Yiqing Liu, Diwei Shi, Hanzhong Liu, Junbo Hu, Hongyi Gao, Zhen Song, Xilong Zhao, Chao He, Ming Zhao, Yonghong He

CoRR, October, 2025

Deformable Attention Graph Representation Learning for Histopathology Whole Slide Image Analysis.

Mingxi Fu, Xitong Ling, Yuxuan Chen, Jiawen Li, Fanglei Fu, Huaitian Yuan, Tian Guan, Yonghong He, Lianghui Zhu

CoRR, August, 2025

DiagR1: A Vision-Language Model Trained via Reinforcement Learning for Digestive Pathology Diagnosis.

Minxi Ouyang, Lianghui Zhu, Yaqing Bao, Qiang Huang, Jingli Ouyang, Tian Guan, Xitong Ling, Jiawen Li, Song Duan, Wenbin Dai, Li Zheng, Xuemei Zhang, Yonghong He

CoRR, July, 2025

PathOrchestra: A Comprehensive Foundation Model for Computational Pathology with Over 100 Diverse Clinical-Grade Tasks.

Fang Yan, Jianfeng Wu, Jiawen Li, Wei Wang, Jiaxuan Lu, Wen Chen, Zizhao Gao, Jianan Li, Hong Yan, Jiabo Ma, Minda Chen, Yang Lu, Qing Chen, Yizhi Wang, Xitong Ling, Xuenian Wang, Zihan Wang, Qiang Huang, Shengyi Hua, Mianxin Liu, Lei Ma, Tian Shen, Xiaofan Zhang, Yonghong He, Hao Chen, Shaoting Zhang, Zhe Wang

CoRR, March, 2025

Multimodal Distillation-Driven Ensemble Learning for Long-Tailed Histopathology Whole Slide Images Analysis.

Xitong Ling, Yifeng Ping, Jiawen Li, Jing Peng, Yuxuan Chen, Minxi Ouyang, Yizhi Wang, Yonghong He, Tian Guan, Xiaoping Liu, Lianghui Zhu

CoRR, March, 2025

Can We Simplify Slide-level Fine-tuning of Pathology Foundation Models?

Jiawen Li, Jiali Hu, Qiehe Sun, Renao Yan, Minxi Ouyang, Tian Guan, Anjia Han, Chao He, Yonghong He

CoRR, February, 2025

Dynamic Hypergraph Representation for Bone Metastasis Cancer Analysis.

Yuxuan Chen, Jiawen Li, Huijuan Shi, Yang Xu, Tian Guan, Lianghui Zhu, Yonghong He, Anjia Han

CoRR, January, 2025

PathOrchestra: a comprehensive foundation model for computational pathology with over 100 diverse clinical-grade tasks.

Fang Yan, Jianfeng Wu, Jiawen Li, Wei Wang, Yirong Chen, Linda Wei, Jiaxuan Lu, Wen Chen, Zizhao Gao, Jianan Li, Heng Li, Hong Yan, Jiabo Ma, Minda Chen, Yang Lu, Qing Chen, Yizhi Wang, Xitong Ling, Xuenian Wang, Zihan Wang, Qiang Huang, Shengyi Hua, Mianxin Liu, Lei Ma, Tian Shen, Xiaofan Zhang, Yonghong He, Hao Chen, Shaoting Zhang, Zhe Wang

npj Digit. Medicine, 2025

Dynamic hypergraph representation for bone metastasis analysis.

Yuxuan Chen, Jiawen Li, Lianghui Zhu, Yang Xu, Tian Guan, Huijuan Shi, Yonghong He, Anjia Han

Comput. Methods Programs Biomed., 2025

Cross-Modal Prototype Allocation: Unsupervised Slide Representation Learning via Patch-Text Contrast in Computational Pathology.

Yuxuan Chen, Jiawen Li, Jiali Hu, Xitong Ling, Tian Guan, Anjia Han, Yonghong He

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

DeepTree: Pathological Image Classification Through Imitating Tree-Like Strategies of Pathologists.

Jiawen Li, Junru Cheng, Lingqin Meng, Hui Yan, Yonghong He, Huijuan Shi, Tian Guan, Anjia Han

IEEE Trans. Medical Imaging, April, 2024

Unlocking adaptive digital pathology through dynamic feature learning.

Jiawen Li, Tian Guan, Qingxin Xia, Yizhi Wang, Xitong Ling, Jing Li, Qiang Huang, Zihan Wang, Zhiyuan Shen, Yifei Ma, Zimo Zhao, Zhe Lei, Tiandong Chen, Junbo Tan, Xueqian Wang, Xiu-Wu Bian, Zhe Wang, Lingchuan Guo, Chao He, Yonghong He

CoRR, 2024

Towards a Comprehensive Benchmark for Pathological Lymph Node Metastasis in Breast Cancer Sections.

Xitong Ling, Yuanyuan Lei, Jiawen Li, Junru Cheng, Wenting Huang, Tian Guan, Jian Guan, Yonghong He

CoRR, 2024

NcIEMIL: Rethinking Decoupled Multiple Instance Learning Framework for Histopathological Slide Classification.

Qiehe Sun, Doukou Jiang, Jiawen Li, Renao Yan, Yonghong He, Tian Guan, Zhiqiang Cheng

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification.

Hongbo Chu, Qiehe Sun, Jiawen Li, Yuxuan Chen, Lizhong Zhang, Tian Guan, Anjia Han, Yonghong He

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

HIQ: One-Shot Network Quantization for Histopathological Image Classification.

Xinrui Chen, Renao Yan, Yizhi Wang, Jiawen Li, Junru Cheng, Tian Guan, Yonghong He

Proceedings of the IEEE International Conference on Acoustics, 2024

Dynamic Graph Representation with Knowledge-Aware Attention for Histopathology Whole Slide Image Analysis.

Jiawen Li, Yuxuan Chen, Hongbo Chu, Qiehe Sun, Tian Guan, Anjia Han, Yonghong He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Leveraging Pre-trained Models for FF-to-FFPE Histopathological Image Translation.

Qilai Zhang, Jiawen Li, Peiran Liao, Jiali Hu, Tian Guan, Anjia Han, Yonghong He

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

2023

The Whole Pathological Slide Classification via Weakly Supervised Learning.

Qiehe Sun, Jiawen Li, Jin Xu, Junru Cheng, Tian Guan, Yonghong He

CoRR, 2023

Classification of Myopic Maculopathy Images with Self-supervised Driven Multiple Instance Learning Network.

Jiawen Li, Jaehyeon Soon, Qilai Zhang, Qifan Zhang, Yonghong He

Proceedings of the Myopic Maculopathy Analysis, 2023