Jiawen Li

Orcid: 0000-0001-9339-2557

Affiliations:
  • Tsinghua University, Shenzhen International Graduate School, China


According to our database1, Jiawen Li authored at least 19 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Deformable Attention Graph Representation Learning for Histopathology Whole Slide Image Analysis.
CoRR, August, 2025

DiagR1: A Vision-Language Model Trained via Reinforcement Learning for Digestive Pathology Diagnosis.
CoRR, July, 2025

PathOrchestra: A Comprehensive Foundation Model for Computational Pathology with Over 100 Diverse Clinical-Grade Tasks.
CoRR, March, 2025

Cross-Modal Prototype Allocation: Unsupervised Slide Representation Learning via Patch-Text Contrast in Computational Pathology.
CoRR, March, 2025

Multimodal Distillation-Driven Ensemble Learning for Long-Tailed Histopathology Whole Slide Images Analysis.
CoRR, March, 2025

Can We Simplify Slide-level Fine-tuning of Pathology Foundation Models?
CoRR, February, 2025

Dynamic Hypergraph Representation for Bone Metastasis Cancer Analysis.
CoRR, January, 2025

Dynamic hypergraph representation for bone metastasis analysis.
Comput. Methods Programs Biomed., 2025

2024
DeepTree: Pathological Image Classification Through Imitating Tree-Like Strategies of Pathologists.
IEEE Trans. Medical Imaging, April, 2024

Unlocking adaptive digital pathology through dynamic feature learning.
CoRR, 2024

Towards a Comprehensive Benchmark for Pathological Lymph Node Metastasis in Breast Cancer Sections.
CoRR, 2024

Diagnostic Text-guided Representation Learning in Hierarchical Classification for Pathological Whole Slide Image.
CoRR, 2024

NcIEMIL: Rethinking Decoupled Multiple Instance Learning Framework for Histopathological Slide Classification.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

HIQ: One-Shot Network Quantization for Histopathological Image Classification.
Proceedings of the IEEE International Conference on Acoustics, 2024

Dynamic Graph Representation with Knowledge-Aware Attention for Histopathology Whole Slide Image Analysis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Leveraging Pre-trained Models for FF-to-FFPE Histopathological Image Translation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
The Whole Pathological Slide Classification via Weakly Supervised Learning.
CoRR, 2023

Classification of Myopic Maculopathy Images with Self-supervised Driven Multiple Instance Learning Network.
Proceedings of the Myopic Maculopathy Analysis, 2023


  Loading...