Jiashuai Liu
Orcid: 0009-0002-5964-5658Affiliations:
- Xi'an Jiaotong University, School of Computer Science and Technology,, Xi'an, China
According to our database1,
Jiashuai Liu authored at least 15 papers
between 2024 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
PathNavigate: A Training-Free Pathology Agent with Surprise-Guided Scan and Shared Slide Memory for Whole-Slide Image VQA.
CoRR, May, 2026
Thinking in Scales: Accelerating Gigapixel Pathology Image Analysis via Adaptive Continuous Reasoning.
CoRR, May, 2026
IEEE Trans. Medical Imaging, March, 2026
Topology-Guided Biomechanical Profiling: A White-Box Framework for Opportunistic Screening of Spinal Instability on Routine CT.
CoRR, March, 2026
CARE: A Molecular-Guided Foundation Model with Adaptive Region Modeling for Whole Slide Image Analysis.
CoRR, February, 2026
PH2ST: Prompt-guided hypergraph learning for spatial transcriptomics prediction in whole slide images.
Medical Image Anal., 2026
2025
The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models.
CoRR, May, 2025
ST-Prompt Guided Histological Hypergraph Learning for Spatial Gene Expression Prediction.
CoRR, March, 2025
StaDis: Stability distance to detecting out-of-distribution data in computational pathology.
Medical Image Anal., 2025
CoxKAN: Kolmogorov-Arnold networks for interpretable, high-performance survival analysis.
Bioinform., 2025
Single Domain Generalization for Multimodal Cross-Cancer Prognosis via Dirac Rebalancer and Distribution Entanglement.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Learning Heterogeneous Embedding with Prototype-Aware Graph Attention for Whole Slide Image Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
2024
CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysis.
CoRR, 2024
PAMIL: Prototype Attention-Based Multiple Instance Learning for Whole Slide Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024