Zhengrui Guo

According to our database1, Zhengrui Guo authored at least 15 papers between 2023 and 2025.

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

Timeline

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Links

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Bibliography

2025
A Versatile Pathology Co-pilot via Reasoning Enhanced Multimodal Large Language Model.
CoRR, July, 2025

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning.
CoRR, June, 2025

PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology.
CoRR, May, 2025

Beyond Linearity: Squeeze-and-Recalibrate Blocks for Few-Shot Whole Slide Image Classification.
CoRR, May, 2025

Any-to-Any Learning in Computational Pathology via Triplet Multimodal Pretraining.
CoRR, May, 2025

Context Matters: Query-aware Dynamic Long Sequence Modeling of Gigapixel Images.
CoRR, January, 2025

Neuron Platonic Intrinsic Representation From Dynamics Using Contrastive Learning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification.
CoRR, 2024

BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation.
CoRR, 2024

Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation.
CoRR, 2024

Stabilization of complex networks under asynchronously intermittent event-triggered control.
Autom., 2024

HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-Modal Context Interaction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions.
CoRR, 2023


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