Songhan Jiang — accepted AI-conference papers

2026

Johnson-Lindenstrauss Lemma Guided Network for Efficient 3D Medical Segmentation

Jinpeng Lu, Linghan Cai, Yinda Chen, Guo Tang, Songhan Jiang, Haoyuan Shi +1

ICLR 2026poster

Lightweight 3D medical image segmentation remains constrained by a fundamental "efficiency / robustness conflict", particularly when processing complex anatomical structures and heterogeneous modalities. In this paper, we study how to redesign the framework based on the characteristics of high-dimen…

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2026

PathFLIP: Fine-grained Language-Image Pretraining for Versatile Computational Pathology

Fengchun Liu, Songhan Jiang, Linghan Cai, Ziyue Wang, Yongbing Zhang

AAAI 2026technical

While Vision-Language Models (VLMs) have achieved notable progress in computational pathology (CPath), the gigapixel scale and spatial heterogeneity of Whole Slide Images (WSIs) continue to pose challenges for multimodal understanding. Existing alignment methods struggle to capture fine-grained corr

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